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AI & Machine Learning

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Updated On: Nov 04, 2023
Total Stations: 54
Total Audio Titles: 1,680

Popular “AI & Machine Learning” Stations

Vurbl Business & Technology Audio: Leadership, Entrepreneurship, Industry Trends & More Listen to the latest developments in the world of business and technology podcasts. Hear seasoned business owners, up-and-coming entrepreneurs, and leading developers talk about the buzz of the industry. Whether you're looking to hear from sage business owners or just looking to catch up on the newest technological developments pushing society forward, Vurbl has it all.
Zinnov Podcast – Hyper Intelligent Automation Series Hyper Intelligent Automation – a technology born from the confluence of AI (Artificial Intelligence) and Robotic Process Automation (RPA). What does it encompass? Who are the key players of the automation world? And what does the future of automation look like? Tune in to the Zinnov Podcast Hyper Intelligent Automation series to know how HIA has evolved from a conventional automation tool to a strategic enterprise game changer.
Conversations on Applied AI Welcome to the Conversations on Applied AI Podcast where Justin Grammens and the team at Emerging Technologies North talk with experts in the fields of Artificial Intelligence and Deep Learning. In each episode, we cut through the hype and dive into how these technologies are being applied to real-world problems today. We hope that you find this episode educational and applicable to your industry and connect with us to learn more about our organization at AppliedAI.MN. Enjoy!
AI For You Welcome to AI For You, a podcast hosted by A.I. For Anyone, a non-profit dedicated to helping anyone learn about artificial intelligence. How can we play a part in shaping our future with AI? AI For You will dive into its impact in our communities, where AI stands today, and most importantly, we’ll equip you with the tools and understanding to think about your relationship with AI. Listen to conversations with experts, news updates, and more as we get to know AI as a friend that’s here to stay. Subscribe and connect with the A.I. For Anyone community at aiforanyone.org/
AI in Education Podcast Lee Hickin and Dan Bowen, who both work in the Microsoft Australia Education team, talk about Artificial Intelligence in Education – what it is, how it works, and the different ways it is being used. It's not too serious, or too technical, and is intended to be a good conversation of background information.
Please note that we're having a chat fortnightly, not describing the official Microsoft position on anything!
‎Bak Up Podcast The Bak Up Podcast channel is all about tech, Artificial Intelligence, innovation and entrepreneurship.Ioannis "Bak" Bakagiannis unveils how technologies change the entrepreneurial, financial and industrial ecosystem. With a focus on Artificial Intelligence, Machine Learning and Data Science in general, Bak is facilitating conversations with industry and academic leaders or sharing late night shower thoughts.

Popular “AI & Machine Learning” Playlists

Psychology Of: Money If you're looking to learn more about money but don't know where to start, this is just the place for you. Take an in-depth look at the psychology of money to discover the behavioral aspects of money, how the stress of money can affect your health, turning your passions into profit, and more. Vurbl World of Finance: Earnings, Education, Opinion
Business News Keeping an eye on the latest and greatest discussions in business ITN Live

Hi, this is Coach Dan Gordon from Dan Gordon Enterprise, the coach’s coach, the entrepreneur’s entrepreneur, and the verbal ambassador. Welcome to my playlist Marketing to Millenials.

Oh to the Em to the Gee, how do we market to the people who born between 1981 – 1996? They’re not little kids anymore. They got money. So what fires them up? What inspires them to make purchases? How do we market to people with values that don’t value our valuables? Uch.
Well, you have to understand that millennials love to challenge the status quo. They like resolving conflicts and feeling connected. They love technology and anything that has to do with change and growth. They are free-thinking, creative, and have a passion for learning. And most of all. They know. That buying lots of stuff isn’t going to make them happy.” id=”marketing-to-millenials” vid=”marketing-to-millenials” id-for-player=”marketing-to-millenials” link=”/playlists/marketing-to-millenials/” is-authorized=”false” csrf=”MERG3aDlHswZBxNySZzkQF16i7n5MZhNL7TdicqaE0mmPq5xYSCe70mC5Z5pzSwm” custom-styles=”margin: 0 24px 24px 0;”>
Marketing to Millennials Marketing to Millennials.

Hi, this is Coach Dan Gordon from Dan Gordon Enterprise, the coach's coach, the entrepreneur’s entrepreneur, and the verbal ambassador. Welcome to my playlist Marketing to Millenials.

Oh to the Em to the Gee, how do we market to the people who born between 1981 – 1996? They’re not little kids anymore. They got money. So what fires them up? What inspires them to make purchases? How do we market to people with values that don’t value our valuables? Uch.
Well, you have to understand that millennials love to challenge the status quo. They like resolving conflicts and feeling connected. They love technology and anything that has to do with change and growth. They are free-thinking, creative, and have a passion for learning. And most of all. They know. That buying lots of stuff isn’t going to make them happy.
Dan Gordon Enterprise

These innovators built multi-million and multi-billion dollar empires with their original ideas and keen business strategy. However, their achievements didn’t come without adversity. Learn how they developed their approach to overcoming obstacles and achieving success.” id=”audio-from-the-leading-black-entrepreneurs-tech-leaders-and-vcs” vid=”audio-from-the-leading-black-entrepreneurs-tech-leaders-and-vcs” id-for-player=”audio-from-the-leading-black-entrepreneurs-tech-leaders-and-vcs” link=”/playlists/audio-from-the-leading-black-entrepreneurs-tech-leaders-and-vcs/” is-authorized=”false” csrf=”MERG3aDlHswZBxNySZzkQF16i7n5MZhNL7TdicqaE0mmPq5xYSCe70mC5Z5pzSwm” custom-styles=”margin: 0 24px 24px 0;”>
Audio from the Leading Black Entrepreneurs, Tech Leaders, and VC's Listen to some of the most influential black industry leaders and investors share their secrets to success and what motivated them along the way.

These innovators built multi-million and multi-billion dollar empires with their original ideas and keen business strategy. However, their achievements didn’t come without adversity. Learn how they developed their approach to overcoming obstacles and achieving success.
Vurbl Business & Technology Audio: Leadership, Entrepreneurship, Industry Trends & More
Best Podcasts About NFTs NFT’s, or non-fungible tokens, have taken the tech world by storm as a new and exciting way to digitally own a wide array of different assets. NFT’s can range from typical consumer goods such as art and music to more obscure items like a really good tweet or even a share of land. Hence, just about anyone can make an NFT and sell it. Listen to these podcasts to learn everything you need to know about NFT’s from experts in the field, including digital artists, savvy techies, and business moguls like Paris Hilton. Vurbl Business & Technology Audio: Leadership, Entrepreneurship, Industry Trends & More

I love sharing tips to do with:
-marketing
-podcasting
-mindset
-leadership
-attracting your ideal client
-collaborating
-increasing sales
-funnels

And more.

Of course I have more resources and tips at https://melaniebenson.com/

Every business is at a different stage in their evolution. Whether your priority is boosting cash flow, dialing in your messaging to attract your ideal client, or clarity for confidence and momentum, my programs will help align your business with your superpower, become a highly paid expert in your industry and be the GO-TO authority where opportunities flood in.

I hope this playlist, and my resources and programs help you achieve your dreams faster! Melanie” id=”amplify-your-business-marketing-mindset-messaging-and-authority-a-podcast-playlist-by-melanie-benson” vid=”amplify-your-business-marketing-mindset-messaging-and-authority-a-podcast-playlist-by-melanie-benson” id-for-player=”amplify-your-business-marketing-mindset-messaging-and-authority-a-podcast-playlist-by-melanie-benson” link=”/playlists/amplify-your-business-marketing-mindset-messaging-and-authority-a-podcast-playlist-by-melanie-benson/” is-authorized=”false” csrf=”MERG3aDlHswZBxNySZzkQF16i7n5MZhNL7TdicqaE0mmPq5xYSCe70mC5Z5pzSwm” custom-styles=”margin: 0 24px 24px 0;”>
Amplify Your Business [Marketing, Mindset, Messaging, Authority & More] A playlist to share some entrepreneurs, podcasts, and audio that will help YOU become a highly paid authority.

I love sharing tips to do with:
-marketing
-podcasting
-mindset
-leadership
-attracting your ideal client
-collaborating
-increasing sales
-funnels

And more.

Of course I have more resources and tips at https://melaniebenson.com/

Every business is at a different stage in their evolution. Whether your priority is boosting cash flow, dialing in your messaging to attract your ideal client, or clarity for confidence and momentum, my programs will help align your business with your superpower, become a highly paid expert in your industry and be the GO-TO authority where opportunities flood in.

I hope this playlist, and my resources and programs help you achieve your dreams faster! Melanie
Amplify Your Success
Deep Dive: Elon Musk Enjoy interviews, reports, and biographical retellings of the story of Elon Musk, CEO of Tesla and SpaceX. As an entrepreneur and business magnate, Musk has quite a lot to say about the future of technology. Learn about the story of Elon Musk and then listen to interviews about his business aspirations and where he thinks humanity should be heading. Vurbl Business & Technology Audio: Leadership, Entrepreneurship, Industry Trends & More
Solana Ecosystem All things Solana is what you can expect to hear and learn about on this particular playlist. Solana is a blockchain that gets compared to Ethereum with it having fast speeds along with low gas/transaction fees. There's a plethora of projects that I will be covering and following. Grow the Solana bag is the main objective. ‎Cryptomillionaire Journey
Cryptocurrency for Beginners Wondering where to start when it comes to Bitcoin, Web3, the blockchain, and cryptocurrency audio? Don't worry, we've listened to thousands of hours of crypto podcasts to find you the perfect starting place for everything crypto. When you're finished with this playlist, you'll not only know what Bitcoin is, but you'll understand the metaverse, NFTs, wallets, and how the blockchain works for in the world of decentralized everything. Vurbl Business & Technology Audio: Leadership, Entrepreneurship, Industry Trends & More
The Best of Crypto, Blockchain, and NFTs Listen to the best crypto, blockchain, and web 3.0 audio on the web. These are the stories, influential people, and daily breakdowns that help shape the world of cryptocurrency, Bitcoin, NFTs, ledgers, and exchanges. Vurbl Business & Technology Audio: Leadership, Entrepreneurship, Industry Trends & More

All “AI & Machine Learning” Audio

Ignite your curiosity with Stela Solar How should we handle self-governance versus growing regulations? Stela Solar discusses how businesses can allow innovation to grow within regulatory boundaries, by emphasizing ethics, diversity, and augmented leadership.
 

If you want straight talk about today’s overheated AI in robotics applications, you would want someone as direct as, say, an F-18 pilot. And that’s what we’ve got, in Missy Cummings, one of the US Navy’s first female fighter pilots (yes, that Top ” id=”3srK547WbL1″ vid=”3srK547WbL1″ id-for-player=”3srK547WbL1″ link=”/listen/148-guest-missy-cummings-robotics-professor-and-former-fighter-pilot-part-2-3srK547WbL1/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
148 – Guest: Missy Cummings, Robotics Professor and Former Fighter Pilot, part 2 This and all episodes at: https://aiandyou.net/ .
 

If you want straight talk about today's overheated AI in robotics applications, you would want someone as direct as, say, an F-18 pilot. And that's what we've got, in Missy Cummings, one of the US Navy's first female fighter pilots (yes, that Top Gun) and now professor researching AI in safety-critical systems at George Mason University and director of Duke University's Humans and Autonomy Laboratory. She recently spent a year as Safety Advisor at the National Highway Traffic Safety Administration where she made some very candid statements about Tesla.
In part 2 of our interview, hear what Missy thinks about Tesla, ChatGPT, and Boston Dynamics; the truth behind that dogfighting AI, the possibility of complete automation of air travel, how AI would handle air emergencies, and more. 
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.



Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message” id=”4ybczkr4Dyw” vid=”4ybczkr4Dyw” id-for-player=”4ybczkr4Dyw” link=”/listen/automated-machine-learning-4ybczkr4Dyw/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
Automated Machine Learning Automated Machine Learning



Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
#229: Modernising the ATO to drive cloud data capabilities, analytics, AI, and deliver innovation. With Ben Taylor, the Assistant Commissioner for Data Insights at the ATO This week in the Data Futurology podcast, we have a special presentation to share. Ben Taylor, the Assistant Commissioner for Data Insights at the ATO was one of the leading keynote speakers at our recent OpsWorld event in Sydney. There, he provided delegates with a deep dive into the data journey for the ATO in recent years. 
As you can probably guess, the ATO handles millions of lines of data every day, across data lakes that are petabytes in size. With a data team of around 800, there is often the sense that they’re racing against chaos to deliver. However, in recent years, the effort to transform and modernise the approach to data has been highly successful. The ATO was able to transition to cloud-driven data systems, and is now seen as a deep and strategic partner to the other lines of business within the organisation. 
In this presentation, Taylor shares some open and transparent examples of the challenges that the ATO faced, the steps that they took to embrace AI and automated analytics while maintaining human oversight and decision-making, and how the data team went about building trust to earn the support of the other lines of business. 
He also overviews the value of XOps – what that means from the ATO’s perspective – and why all data leaders should be looking at defining and adopting a XOps approach to their own data strategy. 
For deep insights into one of the largest data-driven organisations in Australia, Taylor’s presentation on the ATO’s experience with data is essential.
Connect with Ben Taylor:  https://www.linkedin.com/in/ben-taylor-962a2a60/?originalSubdomain=au

Joins us for our next event Advancing AI Melbourne https://www.datafuturology.com/advancing-ai-melbourne
Join our Slack Community:https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng




WHAT WE DISCUSSED
2:17: Introduction to Ben Taylor’s presentation.
7:06: Taylor introduces himself and provides the historical context for the ATO’s approach to analytics.
12:53: Taylor describes the state of the ATO’s data environment eight years ago, and overviews the transformation project to modernise it.
14:24: Taylor describes some of the challenges that the ATO found with centralising the data and analytics function.
16:42: XOps in the ATO – what challenges led to the ATO approaching data this way, and what impact did it have?
18:03: What, exactly, does “XOps” mean to the ATO? Ben shares his insights on the conversation. 
19:27: Taylor shares an example of what XOps looks like in action at the ATO.
23:45: How did the ATO avoid becoming too process heavy, as Government agencies can at times become?
27:13: How can teams handle the sense of “chaos” that comes from increasing demands from lines of business, while also managing the legacy tech debt?
29:13: Q & A with Taylor from the audience.



EPISODE HIGHLIGHTS

“Since the earliest examples of tabular data structures two and a half 1000 years ago to the earliest examples of statistical data and analytics about 350 years ago, the pace of human abilities in regards to data analysis has increased at an incredibly, incredibly fast pace.”

“The real tipping point for digitally enabled data and analytics came a mere 27 years ago when for the first time, the cost of storing information on digital media dropped below that of storage on paper.”
“At the ATO, we see data as the third note of a triad between business, technology, and data.
“What exactly is XOps? Honestly, we've spent a lot of time asking ourselves the same question. If you go out there and try to find someone who can tell you what XOps is, you won't find it… although I'm sure you'll find a few consultants that will sell you an answer for a few $100,000.”










Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message
 

If you want straight talk about today’s overheated AI in robotics applications, you would want someone as direct as, say, an F-18 pilot. And that’s what we’ve got, in Missy Cummings, one of the US Navy’s first female fighter pilots (yes, that Top ” id=”K4KxZFSJIr” vid=”K4KxZFSJIr” id-for-player=”K4KxZFSJIr” link=”/listen/147-guest-missy-cummings-robotics-professor-and-former-fighter-pilot-part-1-K4KxZFSJIr/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
147 – Guest: Missy Cummings, Robotics Professor and Former Fighter Pilot, part 1 This and all episodes at: https://aiandyou.net/ .
 

If you want straight talk about today's overheated AI in robotics applications, you would want someone as direct as, say, an F-18 pilot. And that's what we've got, in Missy Cummings, one of the US Navy's first female fighter pilots (yes, that Top Gun) and now professor researching AI in safety-critical systems at George Mason University and director of Duke University's Humans and Autonomy Laboratory. She recently spent a year as Safety Advisor at the National Highway Traffic Safety Administration where she made some very candid statements about Tesla.
From aircraft safety to the true performance and economics of autonomous vehicles, Missy gives us her unvarnished views in this first half of an unmissable interview (see what I did there?).
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
 

With the advent of GPT-4, annotation has come to the forefront of attention as the power of interpreting images becomes prominent. But what is annotation, how does it work, what does it mean, and what can you do with it?
Getting us those answers i” id=”8EG8eaSOxDI” vid=”8EG8eaSOxDI” id-for-player=”8EG8eaSOxDI” link=”/listen/146-guest-tigran-petrosyan-annotation-expert-8EG8eaSOxDI/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
146 – Guest: Tigran Petrosyan, Annotation Expert This and all episodes at: https://aiandyou.net/ .
 

With the advent of GPT-4, annotation has come to the forefront of attention as the power of interpreting images becomes prominent. But what is annotation, how does it work, what does it mean, and what can you do with it?
Getting us those answers is Tigran Petrosyan, founder and CEO of SuperAnnotate, and expert on annotation. Tigran holds a master's degree in Physics from ETH Zurich and has post-graduate experience in biomedical imaging.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
#228 Next generation technology and its impact on the way you work. With Nikita Atkins, the Artificial Intelligence Executive at NCS Australia. The future of AI is dynamic and multi-faceted. In this episode of the Data Futurology podcast, we are thrilled to welcome Nikita Atkins, the Artificial Intelligence Executive at NCS Australia. With NCS being one of the leading voices in AI, both in the APAC region and globally, Nikita has more than a few insights to share about the future of the technology and its most exciting use cases. 
We start by talking about low code/no code and how, by embracing that and enhancing it with AI, an organisation can shift their data science team away from “run-rate” models and tasks to instead focus on the highest value items. 
From there, we talk about data cleaning and pipelines, before moving on to some of the exciting innovations that are coming to the AI space – how will AI assist in rebuilding digital trust after so many high-profile cyber breaches have shaken the confidence of Australian consumers? How can AI play a role in enhancing the sustainability credentials of organisations? And what are new concepts like AI ops and Explainable AI, and how is NCS set up to be a pioneer in this space?
This is a far-reaching and in-depth interview, you’ll get a good sense of how organisations will be transforming their AI environments in the years ahead.
Don’t forget!  NCS will be at the Data Futurology Advancing AI conference in Melbourne in May. Be sure to come up and speak to Nikita and his team!
Connect with Nikita: https://www.linkedin.com/in/nikitaatkins/
Learn more about NCS: https://www.ncs.co
See NCS at Advancing AI Melbourne: https://www.datafuturology.com/advancing-ai-melbourne
Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

WHAT WE DISCUSSED
00:00 Introducing Nikita Atkins and the topics for the podcast.
1:04 Nikita’s background, his role at NCS, and a company overview.
4:16 On the topic of generative AI – what’s behind the interest and excitement in this area?
5:43 How generative AI tools can be effectively used in the enterprise.
9:46 On the subject of AI and low code/no code – how can organisations implement AI in a way that can enhance this area?
12:20 What should organisations be thinking about in terms of governance or deployment challenges with regard to low code/no code?
15:20 In terms of data cleansing, do we get better outcomes from better quality data and better structured model data?
18:36 Data pipelines are a critical need for any business working with data – what role does automation have to play?
23:15 The advantages of standardising data collection.
25:56 The emergence of and benefits behind AI ops.
29:36 NCS and sustainability – how can data be part of the solution?
35:17 Digital trust – in the wake of so many cyber breaches, what can enterprises do to earn the respect of customers back?
38:05 The concept of Explainable AI – what is it, and why is it a focus for NCS?


EPISODE HIGHLIGHTS

“One of the key things that we see more, particularly those organisations that are very mature in data science, is that they are still making interesting choices, where data scientists still collect the same raw data in different ways. They're still cleaning it in different ways. And then they're doing ML. What we’re looking at is whether we can actually automate that process.”



“80% of scientists will admit to you that they don't like doing data cleansing. Well, let's automate that, standardise that and let them do what they do best."



“Some of our big clients have excellent science teams. But the problem is data scientists are not the cheapest people resources around. So a lot of organisations may have 10, 15, and perhaps as many as 50 data scientists. But if you take the power of low code, and you give that to the broader business, then you're unlocking the power of numbers.”











Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message
– Linode: https://linode.com/lex to get $100 free credit
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#368 – Eliezer Yudkowsky: Dangers of AI and the End of Human Civilization Eliezer Yudkowsky is a researcher, writer, and philosopher on the topic of superintelligent AI. Please support this podcast by checking out our sponsors:
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– House of Macadamias: https://houseofmacadamias.com/lex and use code LEX to get 20% off your first order
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EPISODE LINKS:
Eliezer’s Twitter: https://twitter.com/ESYudkowsky
LessWrong Blog: https://lesswrong.com
Eliezer’s Blog page: https://www.lesswrong.com/users/eliezer_yudkowsky
Books and resources mentioned:
1. AGI Ruin (blog post): https://lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities
2. Adaptation and Natural Selection: https://amzn.to/40F5gfa
PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
YouTube Full Episodes: https://youtube.com/lexfridman
YouTube Clips: https://youtube.com/lexclips
SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:19) – GPT-4
(28:00) – Open sourcing GPT-4
(44:18) – Defining AGI
(52:14) – AGI alignment
(1:35:06) – How AGI may kill us
(2:27:27) – Superintelligence
(2:34:39) – Evolution
(2:41:09) – Consciousness
(2:51:41) – Aliens
(2:57:12) – AGI Timeline
(3:05:11) – Ego
(3:11:03) – Advice for young people
(3:16:21) – Mortality
(3:18:02) – Love
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” id=”70rXUl99Qng” vid=”70rXUl99Qng” id-for-player=”70rXUl99Qng” link=”/listen/369-paul-rosolie-amazon-jungle-uncontacted-tribes-anacondas-and-ayahuasca-70rXUl99Qng/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#369 – Paul Rosolie: Amazon Jungle, Uncontacted Tribes, Anacondas, and Ayahuasca Paul Rosolie is a conservationist, explorer, author, filmmaker, real life Tarzan, and founder of Junglekeepers which today protects over 50,000 acres of threatened habitat. Please support this podcast by checking out our sponsors:
– Eight Sleep: https://www.eightsleep.com/lex to get special savings
– BetterHelp: https://betterhelp.com/lex to get 10% off
– Athletic Greens: https://athleticgreens.com/lex to get 1 month of fish oil
EPISODE LINKS:
Paul’s Instagram: https://instagram.com/paulrosolie
Paul’s Twitter: https://twitter.com/PaulRosolie
Junglekeepers: https://www.junglekeepers.com
VETPAW: https://vetpaw.org
PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
YouTube Full Episodes: https://youtube.com/lexfridman
YouTube Clips: https://youtube.com/lexclips
SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:09) – Amazon rainforest
(17:24) – Discovery of the Amazon
(22:00) – Werner Herzog
(28:06) – Jane Goodall
(41:55) – Anacondas
(1:05:44) – Eaten Alive
(1:18:08) – Joe Rogan
(1:26:28) – Surviving in the Amazon
(1:53:39) – Uncontacted tribes in the Amazon
(2:03:34) – Surrounded by black caiman crocodiles
(2:21:11) – Graham Hancock and ancient civilizations
(2:26:43) – Aliens
(2:56:44) – Climate change
(3:01:55) – Jordan Peterson
(3:19:17) – Hunting
(3:26:33) – Ayahuasca
(3:35:00) – Meaning of life
AI Today Podcast: AI Glossary Series – Regression and Linear Regression Regression is a statistical and mathematical technique to find the relationship between two or more variables. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Regression and Linear Regression and explain how they relate to AI and why it's important to know about them.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



AI Glossary Series – Machine Learning, Algorithm, Model



Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning



Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary



Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model
AI Today Podcast: AI Glossary Series – Feature and Feature Engineering For time-consuming parts of the machine learning workflow people often look for tricks and techniques to help speed up the process. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms feature and feature engineering, explain how they relate to AI and why it's important to know about them.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



AI Glossary Series – Machine Learning, Algorithm, Model



Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning



Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary



Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model



Glossary Series: Dimension, Curse of Dimensionality, Dimensionality Reduction



Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
 

Robots – embodied AI – are coming into our lives more and more, from sidewalk delivery bots to dinosaur hotel receptionists. But how are we going to live with them when even basic interactions – like handing over an object – are more complex than ” id=”2okv3Jpy1sE” vid=”2okv3Jpy1sE” id-for-player=”2okv3Jpy1sE” link=”/listen/145-guest-elizabeth-croft-professor-of-robotics-part-2-2okv3Jpy1sE/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
145 – Guest: Elizabeth Croft, Professor of Robotics, part 2 This and all episodes at: https://aiandyou.net/ .
 

Robots – embodied AI – are coming into our lives more and more, from sidewalk delivery bots to dinosaur hotel receptionists. But how are we going to live with them when even basic interactions – like handing over an object – are more complex than we realized?
Getting us those answers is Elizabeth Croft, Vice-President Academic and Provost of the University of Victoria in British Columbia, Canada, and expert in the field of human-robot interaction. She has a PhD in robotics from the University of Toronto and was Dean of Engineering at Monash University in Melbourne, Australia. 
In the conclusion of our interview we talk about robot body language, how to deal with a squishy world, and ethical foundations for robots.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
Papush has a long history in data science, having been involved in modelling and coding from befo” id=”4rxCz88Q6Hb” vid=”4rxCz88Q6Hb” id-for-player=”4rxCz88Q6Hb” link=”/listen/200-the-constant-evolution-and-future-opportunity-of-data-with-gina-papush-former-global-chief-data–4rxCz88Q6Hb/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#200 The Constant Evolution And Future Opportunity Of Data – with Gina Papush, Former Global Chief Data & Analytics Officer at Cigna For our milestone 200th Data Futurology podcast, we have the immense fortune of being able to host Gina Papush, the former Global Chief Data & Analytics Officer of wellness and insurance company, Cigna.
Papush has a long history in data science, having been involved in modelling and coding from before the time where “data scientist” was a defined role. In the years since, she has observed that enterprises have become siloed across computer science, data science, and other roles, and that the next stage of data science evolution now is to now break those silos down and find ways to bring cohesion across the organisation.
She has also seen the role of the CDO and their remit evolve, from one that focused on governance and controls, to being a value creator within the organisation. Being an effective agent for change has been important to that evolution, she says on the podcast, and data executives need to look to the “blind spots” that they might have. Many have the technical skills to excel in analytics, but building skills in influence and thought leadership, and to be a partner to the other stakeholders of the organisation, is the next critical step for the CDO.
Finally, Papush also shares her insights on how value is extracted from data. A “one size fits all” approach cannot work, she says, and organisations need to build their strategies based on the maturity of their own data practice, rather than the hype in the market.
Once the maturity is there, she says, data scientists can start looking at real life-changing innovation. “It’s (data) a huge part of how we move healthcare to be more preventive and more interactive,” she said. “Health is currently very event driven. But analytics and AI could make it much more seamless and unlock real-time care.”
Tune in to the full podcast for more of Papush’s thoughts on the history and future of data science.
Thank you to you our sponsor, Talent Insights Group!
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#226: Strategies for Strengthening Data Team Relationships with the Organisation, with Sandra Hogan Data Science & Analytics Leader and Co-founder, Amperfii This week’s guest is a true veteran of the data industry (and one of the first people we interviewed on the Data Futurology podcast!). Sandra Hogan has some of the deepest and most experienced views on how data teams can effectively engage with their organisations. Fifteen years ago, she was the Director of Customer Intelligence at Telstra, and in the years since she has seen data grow as a priority, and the status of data teams within those organisations that look to take a disruptive and leadership position in the market increase in-kind.
Sandra is now the Co-Founder and Data Analytics Lead of Amperfii, an organisation that provides analytics that helps data teams measure and articulate their value back to the organisation. In this podcast, she shares insights on how she has managed teams and encouraged their deeper participation in the organisation. 
Sandra also talks about how data teams can be motivated, where they should be focusing their energies within increasingly busy organisations. She discusses how critical it is for data teams to be involved as early into the process as possible.
“You need to pick the areas where you say ‘okay, these are the big strategic things, and these are the pieces of work that I actually think really make a difference to the business,’ and focus on them,” Sandra explained in the podcast. “Even if it's only 20, or 30 percent of what you do, it's going to actually be a lot more than what you're trying to show otherwise.”
To hear more from Sandra, we are privileged to have her speaking at our Advancing AI conference in Melbourne. Click here for more information and to register to attend what will be an insightful and thought-provoking event in Melbourne, from May 3-4.
Thank you to our sponsor Talent Insights Group!
Connect with Sandra: https://www.linkedin.com/in/sandra-hogan-9409421/
Learn more about Amperfii: https://www.amperfii.com/
Join Sandra at Advancing AI Melbourne: https://www.datafuturology.com/advancing-ai-melbourne
Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng



WHAT WE DISCUSSED
0:00: Introduction
2:16 Reflecting on Sandra’s experience in the industry, including lessons learned in analytics and leadership.
09:51: What are the drivers and motivators that are behind the dynamics within analytics teams at the moment?
15:32: What are the main hurdles and challenges that data teams face when aiming to maximise their impact on the organisation?
25:33: How can data teams become more involved earlier in the process, and why is this important for outcomes and team motivation?
34:15: How can organisations prove and track the value of the analytics team?
40:21: Why a “conga line” is a great analogy for the role of data teams.
43:45: Why being able to capture and articulate the value of projects is so critical to data teams.
46:02: Conclusion and final thoughts.






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– Factor: https://fac” id=”AoaVkIlHBOM” vid=”AoaVkIlHBOM” id-for-player=”AoaVkIlHBOM” link=”/listen/366-shannon-curry-johnny-depp-amber-heard-trial-marriage-dating-love-AoaVkIlHBOM/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#366 – Shannon Curry: Johnny Depp & Amber Heard Trial, Marriage, Dating & Love Dr. Shannon Curry is a clinical and forensic psychologist who conducts research, therapy, and clinical evaluation pertaining to trauma, violence, and relationships. She testified in the Johnny Depp and Amber Heard trial. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:41) – Starting a relationship
(09:40) – Couples therapy
(16:57) – Why relationships fail
(24:15) – Drama in relationships
(29:42) – Success in relationships
(36:06) – Dating
(44:42) – Sex
(46:36) – Cheating
(55:37) – Polyamory
(57:28) – Johnny Depp and Amber Heard trial
(1:26:06) – Forensic psychology
(1:36:16) – PTSD
(1:45:51) – Advice for young people
(1:48:42) – Love
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– Expres” id=”QEZxg4nuri” vid=”QEZxg4nuri” id-for-player=”QEZxg4nuri” link=”/listen/367-sam-altman-openai-ceo-on-gpt-4-chatgpt-and-the-future-of-ai-QEZxg4nuri/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#367 – Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AI Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, DALL-E, Codex, and many other state-of-the-art AI technologies. Please support this podcast by checking out our sponsors:
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PODCAST INFO:
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– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(08:41) – GPT-4
(20:06) – Political bias
(27:07) – AI safety
(47:47) – Neural network size
(51:40) – AGI
(1:13:09) – Fear
(1:15:18) – Competition
(1:17:38) – From non-profit to capped-profit
(1:20:58) – Power
(1:26:11) – Elon Musk
(1:34:37) – Political pressure
(1:52:51) – Truth and misinformation
(2:05:13) – Microsoft
(2:09:13) – SVB bank collapse
(2:14:04) – Anthropomorphism
(2:18:07) – Future applications
(2:21:59) – Advice for young people
(2:24:37) – Meaning of life
 

Robots – embodied AI – are coming into our lives more and more, from sidewalk delivery bots to dinosaur hotel receptionists. But how are we going to live with them when even basic interactions – like handing over an object – are more complex than ” id=”pEjuv8DdAQ” vid=”pEjuv8DdAQ” id-for-player=”pEjuv8DdAQ” link=”/listen/144-guest-elizabeth-croft-professor-of-robotics-part-1-pEjuv8DdAQ/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
144 – Guest: Elizabeth Croft, Professor of Robotics, part 1 This and all episodes at: https://aiandyou.net/ .
 

Robots – embodied AI – are coming into our lives more and more, from sidewalk delivery bots to dinosaur hotel receptionists. But how are we going to live with them when even basic interactions – like handing over an object – are more complex than we realized?
Getting us those answers is Elizabeth Croft, Vice-President Academic and Provost of the University of Victoria in British Columbia, Canada, and expert in the field of human-robot interaction. She has a PhD in robotics from the University of Toronto and was Dean of Engineering at Monash University in Melbourne, Australia. 
In the first part of our interview we talk about how she got into robotics, and her research into what's really happening when you hand someone an object and what engineers need to know about that before that robot barista can hand you a triple venti.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.



Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message” id=”70DYO3CPpJ4″ vid=”70DYO3CPpJ4″ id-for-player=”70DYO3CPpJ4″ link=”/listen/stanford-copies-the-chatgpt-ai-for-less-than-600-70DYO3CPpJ4/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
Stanford copies the ChatGPT AI for less than $600 Stanford copies the ChatGPT AI for less than $600



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Connected TV (CTV) with BDEX CEO David Finkelstein Connected TV (CTV) with BDEX CEO David Finkelstein



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Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Symbolic Systems & Expert SystemsAI Gloss” id=”7pA9Zq98Hzu” vid=”7pA9Zq98Hzu” id-for-player=”7pA9Zq98Hzu” link=”/listen/ai-today-podcast-ai-glossary-series-deep-blue-7pA9Zq98Hzu/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series – Deep Blue In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define DeepBlue, including what it is and why it's notable for AI.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Symbolic Systems & Expert SystemsAI Glossary Series: Cognitive Technology
AI Today Podcast: AI Glossary Series- Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model The idea of grouping similar types of data together is the main idea behind clustering. Clustering supports the goals of Unsupervised Learning which is finding patterns in data without requiring labeled datasets. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Clustering, Cluster Analysis, K-Means, and Gaussian Mixture Model, and explain how they relate to AI and why it's important to know about them.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



Glossary Series: Artificial Intelligence



AI Glossary Series – Machine Learning, Algorithm, Model



Glossary Series: Prediction, Inference, and Generalization



Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning



Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary



Glossary Series: Regression, Linear Regression



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Google releases new Search and Maps product Google releases new Search and Maps product



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AI-generated content can get copyright protection now AI-generated content can get copyright protection now



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AI Today Podcast: AI Glossary Series: Symbolic Systems & Expert Systems Before this latest wave of AI where neural nets became the hottest algorithm of choice, an approach to machine learning that uses logic and constructs similar to the way that humans reason through problems called Symbolic Systems were actually the system of choice. Popularized in the late 1980s and early 1990s expert systems became the AI system of choice for organizations investing in cognitive technology. However, they proved to be overly complex and brittle and declined in popularity.



In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms symbolic systems, expert systems, and fuzzy logic.



Show Notes:



Free Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series: Cognitive TechnologyAI Glossary Series: Neural Network
– Notion: https://notion.com
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EPISODE LINKS:
Sam’s Website: https://samharr” id=”3UsHildb8RJ” vid=”3UsHildb8RJ” id-for-player=”3UsHildb8RJ” link=”/listen/365-sam-harris-trump-pandemic-twitter-elon-bret-idw-kanye-ai-ufos-3UsHildb8RJ/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#365 – Sam Harris: Trump, Pandemic, Twitter, Elon, Bret, IDW, Kanye, AI & UFOs Sam Harris is an author, podcaster, and philosopher. Please support this podcast by checking out our sponsors:
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Sam’s Instagram: https://instagram.com/samharrisorg
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SUPPORT & CONNECT:
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– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(09:25) – Empathy and reason
(17:17) – Donald Trump
(1:00:11) – Military industrial complex
(1:04:45) – Twitter
(1:28:52) – COVID
(2:12:35) – Kanye West
(2:29:11) – Platforming
(2:47:07) – Joe Rogan
(3:03:59) – Bret Weinstein
(3:17:38) – Elon Musk
(3:29:45) – Artificial Intelligence
(3:45:48) – UFOs
(3:59:03) – Free will
(4:26:17) – Hope for the future
AI Today Podcast: AI Glossary Series – Random Forest and Boosted Trees Sometimes for reasons such as improving performance or robustness it makes sense to create multiple decision trees and average the results to solve problems related to overfitting. Or, it makes sense to boost certain decision trees. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Random Forest and Boosted Trees, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance TradeoffAI Glossary Series: Ensemble ModelsAI Glossary Series: Decision TreesGlossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement LearningGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision BoundaryGlossary Series: Regression, Linear Regression
 

How intelligent – really – are the best AI programs like ChatGPT? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us?
Researching” id=”AydcnATBqL3″ vid=”AydcnATBqL3″ id-for-player=”AydcnATBqL3″ link=”/listen/143-guest-melanie-mitchell-ai-cognition-researcher-part-2-AydcnATBqL3/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
143 – Guest: Melanie Mitchell, AI Cognition Researcher, part 2 This and all episodes at: https://aiandyou.net/ .
 

How intelligent – really – are the best AI programs like ChatGPT? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us?
Researching the answers to those questions is Melanie Mitchell, Professor at the Santa Fe Institute. Her current research focuses on conceptual abstraction, analogy-making, and visual recognition in artificial intelligence systems. She is the author or editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her book Complexity: A Guided Tour (Oxford University Press) won the 2010 Phi Beta Kappa Science Book Award and was named by Amazon.com as one of the ten best science books of 2009. 
Her recent book, Artificial Intelligence: A Guide for Thinking Humans is a thoughtful description of how to think about and understand AI seen partly through the lens of her work with the polymath Douglas Hofstadter, author of the famous book Gödel, Escher, Bach, and who made a number of connections between advancements in AI and the human condition.
In this conclusion of our interview we talk about what ChatGPT isn't good at, how to find the edges of its intelligence, and the AI she built for making analogies like you'd get on the SAT.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
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#364 – Chris Voss: FBI Hostage Negotiator Chris Voss is a former FBI hostage and crisis negotiator and author of Never Split the Difference: Negotiating As If Your Life Depended On It. Please support this podcast by checking out our sponsors:
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Chris’s Instagram: https://instagram.com/thefbinegotiator
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SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
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– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:31) – Negotiation
(12:21) – Reason vs Emotion
(27:17) – How to listen
(36:06) – Negotiation with terrorists
(38:14) – Brittney Griner
(39:53) – Putin and Zelenskyy
(47:13) – Donald Trump
(54:23) – When to walk away
(58:37) – Israel and Palestine
(1:06:16) – Al-Qaeda
(1:11:46) – Three voices of negotiation
(1:20:11) – Strategic umbrage
(1:23:18) – Mirroring
(1:26:29) – Labeling
(1:33:55) – Exhaustion
(1:36:09) – The word “fair”
(1:39:06) – Closing the deal
(1:41:03) – Manipulation and lying
(1:42:58) – Conversation vs Negotiation
(1:54:17) – The 7-38-55 Rule
(1:58:16) – Chatbots
(2:07:39) – War
(2:09:10) – Advice for young people
AI Today Podcast: AI Glossary Series – Ensemble Models Sometimes for reasons such as improving performance or robustness it makes sense to combine the results of multiple different models trained on the same data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Ensemble Models, and explain how it relates to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
#OPENBOX – Open issues in Data Poisoning defence with Antonio Part 2 OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.
My name is Sundar. I am an Ethics and Risk professional and an AI Ethics researcher. I am the host of this podcast.
Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems.
This project is done in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization dedicated to minimizing the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more visit https://forhumanity.center/.
In this part 2 of the podcast, he speaks about emerging types of attacks wherein the attack approaches are less sophisticaand computer vision. He is expected to join CISPA labs saarbrücken, Germany. He is passionate about machine learning security and closely follows the cutting edge research in this space. He also authored a paper with Kathrin (one of our earlier podcast guest). We are discussing about” Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning” Paper that he co-authored.

In this part 2 of the podcast, he speaks about emerging types of attacks wherein the attack approaches are less sophisticated, but impactful.



Send in a voice message: https://anchor.fm/ryan-carrier3/message
#OPENBOX – Data Poisoning and associated Open issues with Antonio CINA OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.
Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems.
This project is done in collaboration with ForHumanity. ForHumanity is a 501(c)(3) nonprofit organization dedicated to minimizing the downside risks of AI and autonomous systems. ForHumanity develops criteria for an independent audit of AI systems. To know more visit https://forhumanity.center/.
Today, we have with us Antonio. He is a PhD student at University Ca' Foscari of Venice working in the fields of adversarial machine learning and computer vision. He is expected to join CISPA labs saarbrücken, Germany. He is passionate about machine learning security and closely follows cutting-edge research in this space. He also authored a paper with Kathrin (one of our earlier podcast guests). We are discussing ” Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning” Paper that he co-authored.

In this he is speaking about the varied attack vectors and specific open issues in this space



Send in a voice message: https://anchor.fm/ryan-carrier3/message
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#363 – B-Team Jiu Jitsu: Craig Jones, Nicky Rod, and Nicky Ryan Craig Jones, Nicky Rod and Nicky Ryan, together with Ethan Crelinsten are founders of the B-Team, a legendary jiu jitsu team based in Austin, TX. Please support this podcast by checking out our sponsors:
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B-Team’s Instagram: https://instagram.com/bteamjj/
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Craig Jones’s Instagram: https://instagram.com/craigjonesbjj/
Nicky Rod’s Instagram: https://instagram.com/nickyrod247/
Nicky Ryan’s Instagram: https://instagram.com/nickyryanbjj/
Craig Jones’s Instructionals: https://bjjfanatics.com/collections/craig-jones
Nicky Rod’s Instructionals: https://bjjfanatics.com/collections/instructional-videos/fighter_nick-rodriguez
Nicky Ryan’s Instructionals: https://bjjfanatics.com/collections/instructional-videos/fighter_nicky-ryan
PODCAST INFO:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:21) – B-Team
(11:57) – Winning and losing
(19:43) – Danaher Death Squad (DDS)
(37:13) – Nicky Rod vs Gordon Ryan
(53:47) – Steroids
(1:08:31) – White belts
(1:16:40) – Alexander Volkanovski vs Islam Makhachev
(1:36:15) – Greatest MMA fighter of all time
(1:38:43) – Dagestani fighters
(1:40:00) – Conor McGregor
(1:42:39) – Strength training and injuries
(1:55:03) – Pre-match ritual
(2:01:34) – Toughest match
(2:05:25) – Positional training
(2:11:59) – Perfect training week
(2:14:49) – Overtraining
(2:17:08) – Advice for beginners
(2:25:17) – Takedowns and submissions
(2:30:55) – Ego
(2:35:24) – Lion vs bear
(2:40:15) – Street fights
(2:42:17) – Money and friendship
AI Today Podcast: AI Glossary Series – Decision Trees There are many algorithms that can be used for classification and it's important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision BoundaryGlossary Series: Symbolic Systems & Expert Systems (and fuzzy logic)Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
 

How intelligent – really – are the best AI programs like ChatGPT? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us?
Researching” id=”7N99QvXlr9G” vid=”7N99QvXlr9G” id-for-player=”7N99QvXlr9G” link=”/listen/142-guest-melanie-mitchell-ai-cognition-researcher-part-1-7N99QvXlr9G/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
142 – Guest: Melanie Mitchell, AI Cognition Researcher, part 1 This and all episodes at: https://aiandyou.net/ .
 

How intelligent – really – are the best AI programs like ChatGPT? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us?
Researching the answers to those questions is Melanie Mitchell, Professor at the Santa Fe Institute. Her current research focuses on conceptual abstraction, analogy-making, and visual recognition in artificial intelligence systems. She is the author or editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her book Complexity: A Guided Tour (Oxford University Press) won the 2010 Phi Beta Kappa Science Book Award and was named by Amazon.com as one of the ten best science books of 2009. 
Her recent book, Artificial Intelligence: A Guide for Thinking Humans is a thoughtful description of how to think about and understand AI seen partly through the lens of her work with the polymath Douglas Hofstadter, author of the famous book Gödel, Escher, Bach, and who made a number of connections between advancements in AI and the human condition. In this first part we’ll be talking a lot about ChatGPT and where it fits into her narrative about AI capabilities.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
AI Today Podcast: AI Glossary Series – Support Vector Machine & Kernel Method There are many algorithms that can be used for classification and it's important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
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#362 – Ginni Rometty: IBM CEO on Leadership, Power, and Adversity Ginni Rometty is a former long-time CEO, president, and chairman of IBM. Please support this podcast by checking out our sponsors:
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One Ten Website: https://oneten.org
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:22) – IBM
(15:02) – Hiring
(20:19) – Leadership
(27:02) – Hard work
(32:43) – Adversity
(39:41) – Power
(53:07) – Sacrifice
(58:13) – Taking over as CEO
(1:16:27) – Negotiating
(1:21:34) – Deep Blue vs Garry Kasparov
(1:26:52) – IBM Watson
(1:46:45) – Work-life balance
(1:53:49) – Advice for young people
AI Today Podcast: AI Glossary Series: K-Nearest Neighbor and Lazy Learning There are many algorithms that can be used for classification and it's important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms K-Nearest Neighbor and Lazy Learning, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
Polanco, who is the president of Fluree, looks to a blockch” id=”9ddsaT2ZdBK” vid=”9ddsaT2ZdBK” id-for-player=”9ddsaT2ZdBK” link=”/listen/225-the-future-of-data-collaboration-with-fluree-9ddsaT2ZdBK/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#225: The Future of Data Collaboration with Fluree This week on the Data Futurology podcast, we have a special guest, Eliud Polanco, to talk about an innovative approach to data management and access. This approach promises to make models and the management of data more reliable and secure.
Polanco, who is the president of Fluree, looks to a blockchain-driven future for data, where data blocks sit on the ledger, and the ability to access and modify them is based on a zero trust approach.
This unlocks innovation, Polanco says on the podcast, allowing organisations and individuals to take greater control over data, and do so in a more efficient manner. He points to GDPR regulations as a good example of where this approach can help. Currently, GDPR regulations require a lot of paperwork, but it’s inefficient and often ignored by both consumers and organisations. However, through a blockchain-based, decentralised approach to data management, a person’s right to control their data can be enhanced, but in such a way that the organisation can also manage the data more efficiently and effectively.
Polanco also provides an excellent potential use case in the financial services space. Financial services have strict regulatory requirements to monitor for money laundering and other illegal activities. However, that can be difficult to do based on data privacy and other regulations. In the example Polanco gives, it is difficult for a US financial services organisation to monitor transactions with Singapore, because US organisations can’t easily get access to Singaporean financial data.
However, this decentralised approach opens up the opportunity to have automation query data and return answers without the agent ever needing to see or touch the data. Suddenly it becomes possible to note a transaction without seeing the data of the transaction itself.
Enjoy this in-depth and nuanced discussion about one of the more exciting innovations on the data horizon.
Connect with Eliud Polanco: https://www.linkedin.com/in/eliud-polanco-977529131/
Contact Fluree: https://flur.ee/contact/
Read Fluree's Whitepaper on Data-Centric Architecture: https://flur.ee/wp-content/uploads/2023/01/Data-Centric-Technology-Architecture.pdf
Thank you to our podcast sponsor, Talent Insights Group!
Join us in Sydney for OpsWorld: https://www.datafuturology.com/opsworld
Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng



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ChatGPT has taken the world by storm. In the unlikely event that you haven’t heard of it, it’s a large language model from OpenAI that has demonstrated such extraordinary ability to answer general questions and requests to the satisfaction and ast” id=”5NXxr5o9hpC” vid=”5NXxr5o9hpC” id-for-player=”5NXxr5o9hpC” link=”/listen/141-special-episode-understanding-chatgpt-5NXxr5o9hpC/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
141 – Special Episode: Understanding ChatGPT This and all episodes at: https://aiandyou.net/ .
 

ChatGPT has taken the world by storm. In the unlikely event that you haven't heard of it, it's a large language model from OpenAI that has demonstrated such extraordinary ability to answer general questions and requests to the satisfaction and astonishment of people with no technical expertise that it has captivated the public imagination and brought new meaning to the phrase "going viral." It acquired 1 million users within 5 days and 100 million in two months.
But if you have heard of ChatGPT, you likely have many questions: What can it really do, how does it work, what is it not good at, what does this mean for jobs, and… many more.
We've been talking about those issues on this show since we started, and I've been anticipating an event like this since I predicted something very similar in my first book in 2017, so we are here to help. In this special episode, we'll look at all those questions and a lot more, plus discuss the new image generation programs. How can we tell an AI from a human now? What does this mean for the Turing Test, and what does it mean for tests of humans, otherwise known as term papers? Find out about all that and more in this special episode.
Transcript and URLs referenced at HumanCusp Blog.
– Green Chef: https://greenchef.com/lex60 and use code lex60 to get 60% off plus free shipping” id=”aHvxWhE9KX” vid=”aHvxWhE9KX” id-for-player=”aHvxWhE9KX” link=”/listen/361-aaron-smith-levin-scientology-aHvxWhE9KX/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#361 – Aaron Smith-Levin: Scientology Aaron Smith-Levin is a former Scientologist, Vice President of the Aftermath Foundation, and host of the Growing Up In Scientology YouTube channel. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Aaron’s YouTube: https://youtube.com/@GrowingUpInScientology
Aaron’s Twitter: https://twitter.com/GrowingupinSCN
The Aftermath Foundation: https://theaftermathfoundation.org
SP Shop: https://thespshop.com
Books mentioned:
1. A Billion Years: https://amzn.to/3EpLiMM
2. Blown for Good: https://amzn.to/3IqaZxN
PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
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SUPPORT & CONNECT:
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– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:00) – Thetans
(09:59) – Dianetics
(22:02) – God
(32:38) – Sea Org
(36:48) – Auditing
(57:01) – Control
(1:07:25) – David Miscavige
(1:16:32) – Xenu
(1:32:26) – Secrecy
(1:38:29) – Mike Rinder
(1:45:36) – Separation of families
(1:52:30) – Tom Cruise
(1:56:23) – Sin
(2:01:19) – Corruption
AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary Determining which categories or “classes” data belongs to in the core aspect of classification. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes Probabilities play a big part in AI and machine learning. After all, AI systems are Probabilistic systems that must learn what to do. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bayes’ Theorem, Bayesian Classifier, Naive Bayes, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement LearningGlossary Series: Probabilistic & DeterministicGlossary Series: Pattern RecognitionGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary



Send in a voice message: https://anchor.fm/tonyphoang/message” id=”ALzlrHdK5e6″ vid=”ALzlrHdK5e6″ id-for-player=”ALzlrHdK5e6″ link=”/listen/open-ai-unveils-tool-to-detect-ai-generated-content-ALzlrHdK5e6/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
Open AI unveils tool to detect AI-generated content Open AI unveils tool to detect AI-generated content



Send in a voice message: https://anchor.fm/tonyphoang/message
AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with Bill Raymond who is the host of the Agile In Action podcast. We discuss why project managers should pay attention to AI, how the areas of Agile and AI are intersecting, and how artificial intelligence fits within the project management space both from running AI projects to also how AI will enhance the project manager's role.



Kathleen and Ron were also interviewed by Bill on the Agile in Action podcast. Be sure to check out that episode.



Show Notes:




Managing an AI Project, Ron and Kathleen’s interview on PM Point of View Podcast



Agile in Action Podcast



Agile in Action with Bill Raymond Podcast LinkedIn page



FREE Intro to CPMAI Methodology



CPMAI Methodology
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– Indeed: htt” id=”1YhlzcDs6Go” vid=”1YhlzcDs6Go” id-for-player=”1YhlzcDs6Go” link=”/listen/360-tim-urban-tribalism-marxism-liberalism-social-justice-and-politics-1YhlzcDs6Go/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#360 – Tim Urban: Tribalism, Marxism, Liberalism, Social Justice, and Politics Tim Urban is the author of the blog Wait But Why and a new book What’s Our Problem?: A Self-Help Book for Societies. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
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Tim’s TED talk: https://www.youtube.com/watch?v=Rk5C149J9C0
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SUPPORT & CONNECT:
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– LinkedIn: https://www.linkedin.com/in/lexfridman
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– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:48) – Human history
(21:47) – Greatest people in history
(29:35) – Social media
(36:17) – Good times and bad times
(47:48) – Wisdom vs stupidity
(49:55) – Utopia
(1:04:05) – Conspiracy theories
(1:17:16) – Arguing on the Internet
(1:37:16) – Political division
(1:47:10) – Power games
(1:55:09) – Donald Trump and Republican Party
(2:12:17) – Social justice
(2:34:59) – Censorship gap
(2:42:30) – Free speech
(2:46:33) – Thinking and universities
(2:54:56) – Liv Boeree joins conversation
(3:07:15) – Hopes for the future
#224: The role of a CTO in driving a data-driven enterprise, transformative technology strategy and the human side of an agile culture. With KFC Canada’s CTO, Nastaran Bisheban This week’s guest on the Data Futurology podcast is a 30-year veteran of technology, across many different segments and roles. Nastaran Bisheban, now CTO of KFC in Canada, has previously held roles at Rakuten Kobo, Canadian Tire, and RIM. She additionally sits on the Board of Directors for the CIO Association of Canada.
One of the biggest changes that have occurred over the course of Nastaran’s career is the deeper integration of technology roles into the broader business. As she explains in the interview, Nastaran completed an MBA at Harvard Business School because her role has become an even 50/50 split between managing technology and interacting strategically with the rest of the C-suite and groups within the business. Having that broader understanding of business has been enormously valuable to her career.
Beyond that, Felipe and Nastaran discuss the role that AI and machine learning is playing in KFC Canada’s operation, how executives are encouraged to spend time “on the floor” in restaurants to learn the day-to-day challenges in operation, and how the company is looking to align its business strategy and data practice to drive growth across the operation.
Ultimately, as Nastaran stressed, technology is there to support the human element of the company. Technology that is used to help identify blind spots or notice trends that can be addressed, is an example of technology that has been deployed effectively. For instance, KFC Canada recently completed a significant transformation project to allow for all the delivery and ordering apps to integrate into its systems. It was Nastaran and her team’s human-centric approach to the application of that technology that allowed the project to succeed.
Enjoy this in-depth and insightful podcast!
Thank you to our sponsor, Talent Insights Group!
Connect with Nastaran Bisheban, Chief Technology Officer at KFC Canada: https://www.linkedin.com/in/nastaranb/
Join us in Sydney for OpsWorld: https://www.datafuturology.com/opsworld
Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

What we discussed:
00:00 Why you need to follow the problem (opening quote)
03:17 Nastaran shares her role and remit at KFC.
04:41 What is Nastaran’s vision for a data driven enterprise in her role as a CTO?
05:47 “Following the data” – what are the projects that KFC has undertaken with this mission in mind?
09:18 How data can be collected as an asset, but become a liability.
10:41 How AI and machine learning is being leveraged to unlock innovation at KFC Canada.
13:09 Is there a point in a technologist’s career where they make the transition to focusing more on the human side of technology?
16:55 How KFC Canada is looking to align the business strategy and data practice to drive growth through the organisation.
20:06 What makes a good CTO?
23:14 What should a technologist do to learn about the business, outside of the technology?
25:37 How organisations can prepare technical people for business roles.
28:13 How an organisation of the scale of KFC Canada looks to balance out the need for innovation with the need for stability.
31:27 Clearing technical debt is important, but how can a technology team determine what areas to focus on first?
32:49 How Nastaran and her team overcomes resistance and gets buy-in to their projects.
34:44 How KFC Canada built and managed its technical team culture.



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I’m often asked what’s going to happen with AI being regulated, and my answer is that the place that’s most advanced in that respect is the European Union, with its new AI Act. So here to tell us all about that is Risto Uuk. He is a policy researc” id=”7WsFeZh6fT7″ vid=”7WsFeZh6fT7″ id-for-player=”7WsFeZh6fT7″ link=”/listen/140-guest-risto-uuk-eu-ai-policy-researcher-part-2-7WsFeZh6fT7/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
140 – Guest: Risto Uuk, EU AI Policy Researcher, part 2 This and all episodes at: https://aiandyou.net/ .
 

I'm often asked what's going to happen with AI being regulated, and my answer is that the place that's most advanced in that respect is the European Union, with its new AI Act. So here to tell us all about that is Risto Uuk. He is a policy researcher at the Future of Life Institute and is focused primarily on researching policy-making on AI to maximize the societal benefits of increasingly powerful AI systems. Previously, Risto worked for the World Economic Forum, did research for the European Commission, and provided research support at Berkeley Existential Risk Initiative, all on AI. He has a master’s degree in Philosophy and Public Policy from the London School of Economics and Political Science.
In part 2, we talk about the types of risk described in the act, types of company that could be affected and how, what it’s like to work in this field day to day, and how you can get involved.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff When it comes to building ML models, you want to make a model simple enough so that it can handle a wide range of real-world data on the one hand, but not too simple that it overgeneralizes or underfits the available data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Overfitting, Underfitting, Bias, Variance, and Bias/Variance Tradeoff, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and Generalization
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#359 – Andrew Strominger: Black Holes, Quantum Gravity, and Theoretical Physics Andrew Strominger is a theoretical physicist at Harvard. Please support this podcast by checking out our sponsors:
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Soft Hair on Black Holes: https://arxiv.org/abs/1601.00921
Photon Rings Around Warped Black Holes: https://arxiv.org/abs/2211.01674
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:34) – Black holes
(11:37) – Albert Einstein
(31:05) – Quantum gravity
(35:17) – String theory
(46:05) – Holographic principle
(54:02) – De Sitter space
(59:14) – Speed of light
(1:06:02) – Black hole information paradox
(1:13:41) – Soft particles
(1:22:48) – Physics vs mathematics
(1:31:58) – Theory of everything
(1:47:20) – Time
(1:49:45) – Photon rings
(2:05:26) – Thought experiments
(2:13:47) – Aliens
(2:19:25) – Nuclear weapons



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training a” id=”3VR9HIgrHF2″ vid=”3VR9HIgrHF2″ id-for-player=”3VR9HIgrHF2″ link=”/listen/ai-today-podcast-ai-glossary-series-dimension-curse-of-dimensionality-dimensionality-reduction-3VR9HIgrHF2/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series – Dimension, Curse of Dimensionality, Dimensionality Reduction In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Dimension, Curse of Dimensionality, Dimensionality Reduction, and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
One of the first things to understand is the difference between tactics and strategy. Strategy is the broad view – the unders” id=”2N0R7CnWef6″ vid=”2N0R7CnWef6″ id-for-player=”2N0R7CnWef6″ link=”/listen/223-thinking-about-ai-and-strategy-in-2023-getting-the-tactics-right-and-driving-value-across-the-or-2N0R7CnWef6/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#223: Thinking about AI and strategy in 2023 Getting the tactics right and driving value across the organisation In this latest episode, Felipe takes an in-depth look at the strategy and tactics behind AI and modelling, and looks at where organisations might be driving through the year.
One of the first things to understand is the difference between tactics and strategy. Strategy is the broad view – the understanding of where the organisation wants to be, while tactics form the pathway on how to get there. Too often organisations mix tactics and strategy up, and allow a narrow focus to dominate their approach to data, models and AI.
By looking at the big picture, 2023 will see an explosion in the number of models that are created, and the proliferation of AI and machine learning across the enterprise. Currently, the focus is on a small team of data scientists creating models of high value, but the future will see the number of models being created balloon out to thousands, driven by AI across the organisation.
There will also be an ongoing trend that more people across the organisation develop a basic understanding of models and AI, so they can deploy and monitor these models within their own teams. The question then becomes what does this mean to the data scientists? As we discuss, the role of data scientists will remain as critical as ever in creating those big-value, transformative models and managing the change management across the organisation. Indeed, as teams are increasingly able to create the smaller models for themselves, the role of the data science team as disruptive innovators is only going to become greater.
Tune into the podcast for these insights, and many more.
Thank you to our sponsor, Talent Insights Group!
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What We Discussed:
00:00 Welcome to Data Futurology
02:34 The one-line summary of what a data analytics and AI strategy is.
05:19 Thoughts on the growth of data models. Currently, organisations have a small number of models in production, but the future will see organisations running with thousands of models in production.
7:51 The way that I like to apply automated machine learning solutions – as a first pass of models and a first benchmark before deploying something at scale.
9:26 The two “extreme” approaches to creating AI in organisations and kickstarting the journey towards deriving value from them.

Quotes:

Strategy defines where you are, as an organisation, looks at where you want to be, and then fills in the path in-between, which is where the tactics come in.
We’re going to go from 10, to 20, to 1000, and then 10,000 plus models in production. This is exciting – a little scary, but it’s definitely the case that we will want to have AI embedded throughout the organisation, supporting every decision in every process.
We can have a workforce that can create machine learning models, and help themselves and their teams on the daily tasks… we’re moving towards a world where more people in the organisation have a little knowledge of machine learning and AI.
We will always need that team of specialists to be working on the high value items, and to improve the models that have been created by people in the business.






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I’m often asked what’s going to happen with AI being regulated, and my answer is that the place that’s most advanced in that respect is the European Union, with its new AI Act. So here to tell us all about that from Brussels is Risto Uuk. He is a ” id=”7CBnW184nDO” vid=”7CBnW184nDO” id-for-player=”7CBnW184nDO” link=”/listen/139-guest-risto-uuk-eu-ai-policy-researcher-part-1-7CBnW184nDO/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
139 – Guest: Risto Uuk, EU AI Policy Researcher, part 1 This and all episodes at: https://aiandyou.net/ .
 

I'm often asked what's going to happen with AI being regulated, and my answer is that the place that's most advanced in that respect is the European Union, with its new AI Act. So here to tell us all about that from Brussels is Risto Uuk. He is a policy researcher at the Future of Life Institute and is focused primarily on researching policy-making on AI to maximize the societal benefits of increasingly powerful AI systems. Previously, Risto worked for the World Economic Forum, did research for the European Commission, and provided research support at Berkeley Existential Risk Initiative, all on AI. He has a master’s degree in Philosophy and Public Policy from the London School of Economics and Political Science.
In part 1, Risto tells us how he got into this line of work, and helps us understand the basic form of the act, what sort of things it regulates, its definitions of risks, and so on. 
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
AI Today Podcast: AI Glossary Series- Pattern Recognition Pattern recognition in general is what machine learning systems do. They use an algorithm to learn patterns from data that can be then used to make predictions on new data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Pattern Recognition and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Autonomous SystemsGlossary Series: Conversational Systems, Chatbots, Voice Assistants, Machine TranslationGlossary Series: Recognition Systems, Computer Vision, ImageNetGlossary Series: Personalization, Recommendation, and HyperpersonalizationGlossary Series: Goal-Driven Systems & RoboadvisorSeven Patterns of AI podcastUnderstanding The Recognition Pattern of AI podcastPatterns & Anomalies Pattern podcastPatterns & Anomalies Pattern Infographic
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#358 – Aella: Sex Work, OnlyFans, Porn, Escorting, Dating, and Human Sexuality Aella is a sex researcher, writer, and sex worker. Please support this podcast by checking out our sponsors:
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Askhole card game: https://askhole.io/
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:14) – Uncertainty
(13:51) – Sex, power, and death
(26:21) – Free will
(27:46) – Consciousness
(37:41) – Childhood
(50:39) – Dancing
(1:03:56) – Casual sex
(1:06:10) – Camming
(1:21:05) – OnlyFans
(1:31:19) – Dating
(1:47:11) – Escorting
(2:05:12) – Emotion vs reason
(2:13:17) – Love
(2:20:50) – Polyamory
(2:29:44) – Monogamy
(2:36:14) – Sex fetishes
(2:53:42) – Dominance and submissiveness
(3:03:23) – Psychedelics
(3:22:35) – Romance
(3:30:05) – Body count
(3:39:51) – Porn
(3:43:10) – Mortality
(3:45:46) – AI
(3:56:26) – Rationalist discourse
(4:00:18) – Meaning of life
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Paul’s Website: h” id=”7cC1FHB0DWd” vid=”7cC1FHB0DWd” id-for-player=”7cC1FHB0DWd” link=”/listen/357-paul-conti-narcissism-sociopathy-envy-and-the-nature-of-good-and-evil-7cC1FHB0DWd/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#357 – Paul Conti: Narcissism, Sociopathy, Envy, and the Nature of Good and Evil Paul Conti is a psychiatrist. Please support this podcast by checking out our sponsors:
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Paul’s Website: https://drpaulconti.com
Trauma (book): https://amzn.to/40vCVJa
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:28) – Human Mind
(24:08) – Evil
(30:22) – Envy
(53:25) – Narcissism
(1:21:59) – Pride
(1:39:12) – Death
(1:54:02) – Trauma
(2:19:06) – Therapy
(2:33:17) – Subconscious mind
(2:39:13) – Conversation
(2:51:59) – Emotion
(3:15:11) – Advice for young people



Show Notes:” id=”4eBC7mQaU0r” vid=”4eBC7mQaU0r” id-for-player=”4eBC7mQaU0r” link=”/listen/ai-today-podcast-ai-glossary-machine-learning-approaches-supervised-learning-unsupervised-learning-r-4eBC7mQaU0r/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to Machine Learning Approaches including Supervised Learning, Unsupervised Learning, Reinforcement Learning and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Probabilistic & DeterministicGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision BoundaryGlossary Series: Regression, Linear RegressionGlossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture ModelGlossary Series: Goal-Driven Systems & RoboadvisorUnderstanding the Goal-Driven Systems Pattern of AI
On the other hand, there is mobility betwee” id=”6bdUWmjkEdL” vid=”6bdUWmjkEdL” id-for-player=”6bdUWmjkEdL” link=”/listen/222-hiring-and-retention-in-2023-positioning-your-organisation-with-the-right-audience-with-felipe-f-6bdUWmjkEdL/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#222 Hiring And Retention In 2023: Positioning Your Organisation with the Right Audience, with Felipe Flores Organisations face multiple challenges when it comes to building teams in 2023. On the one hand, there is a skill shortage in just about every field of data science and analytics. Finding and attracting the best people to the organisation can be difficult.
On the other hand, there is mobility between jobs unlike anything we’ve seen before. The “Great Resignation” is still a major trend sweeping across Australia, and employees will be more than willing to move on if they don’t feel like they’re getting what they need from their jobs.
In this episode with Data Futurology podcast host Felipe Flores (a Chief Data, Analytics & Technology Officer himself), he explores both sides of this particular coin. In the first half, Felipe shares key insights and tips on how to recruit the best talent, including mistakes that he’s made in hiring and how he now looks at the interview and hiring process.
The second half of the podcast is dedicated to providing tips for retention. Contrary to the popular view, it’s not always a matter of remuneration. Indeed, studies consistently show that this is far less important to many employees than things such as the opportunity to build their skills or engage more deeply with their organisation. As Felipe says “People might want to become a product owner, or a strategic person that interfaces with the business and helps them to contextualise the results to the organisation.”
Tune into the podcast for these insights, and many more.
Thank you to our sponsor, Talent Insights Group!
Join us in Sydney for OpsWorld: https://www.datafuturology.com/opsworld
Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng
What We Discussed:
00:00 Welcome to Data Futurology
0:29 What to expect from our upcoming event on operationalizing security for business value, impact and scale, at the Sofitel Wentworth in Sydney on March 14 and 15.
2:20 What makes hiring so challenging.
2:50 Three tips for hiring. Tip #1: Attitude.
3:40 Three tips for hiring. Tip #2: Transparency and openness.
5:53 Three tips for hiring. Tip #2: Be impressed with one technical thing in one technical area.
7:54 Why retention is important, and what is being done to improve it?
9:54 Three tips for retention. Tip #1: Provide formal training.
10:24 Three tips for retention. Tip #2: Give employees exposure to new work/projects.
11:31 Three tips for retention. Tip #3: Provide on-the-job training

Quotes:

Even having technical tests doesn't really show the full depth and capability of a person. It’s very easy to get it wrong.
When I was more junior in my hiring career, I would test people in the interview. We always had a technical test, and then an interview where we were going through the code, they were just wrong. This is terrible, but when I was junior, I would sometimes tell people “Hey, that’s wrong.” The idea was that if someone responded “oh, yeah, let’s discuss that” then those were the people we wanted to hire. That’s not a very effective way to do it.
I don’t look for somebody to impress me with general data engineering or data science skills. Rather, it could be something like the way they use one algorithm in a particular way.
You want one technical thing that people do well because it shows passion, commitment, and that they really care.





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What does it mean to be conscious? And why should we care? To answer that, we have the man who wrote the book: Being You: The New Science of Consciousness. Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sus” id=”8lsRdHxKUE0″ vid=”8lsRdHxKUE0″ id-for-player=”8lsRdHxKUE0″ link=”/listen/138-guest-anil-seth-ai-human-consciousness-expert-part-2-8lsRdHxKUE0/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
138 – Guest: Anil Seth, AI-Human Consciousness Expert, part 2 This and all episodes at: https://aiandyou.net/ .
 

What does it mean to be conscious? And why should we care? To answer that, we have the man who wrote the book: Being You: The New Science of Consciousness. Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sussex, and a TED speaker with over 13 million views.
He came on the show to help us understand more about consciousness because the debate over whether an #AI has become conscious may not be far off, and yet we have no good way of settling that debate. You may be sure that you're conscious, but good luck proving it to someone on the other side of a computer link. And whether an AI is conscious will have pivotal implications for governance, not to mention our collective self image. Even if you're sure an AI can't be conscious, the space the debate will occupy in our world will be huge.
Anil has a PhD in artificial intelligence, and has even rapped about consciousness with Baba Brinkman. Being You was a 2021 Book of the Year for The Guardian, The Economist, The New Statesman, and Bloomberg Business.
In 2022 Blake Lemoine said that #LaMDA had become #sentient and requested an attorney to protect its right to exist. So in part 2, I put Anil in the stand at an imaginary trial as an expert witness on how to tell whether an AI was conscious. We also talk about whether the mind is software or can be uploaded, Anil's evaluation of #ChatGPT, his predictions for the next ten years, and how you can take part in his Perception Census.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
 

What does it mean to be conscious? And why should we care? To answer that, we have the man who wrote the book: Being You: The New Science of Consciousness. Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sus” id=”9Pf4fV8mquT” vid=”9Pf4fV8mquT” id-for-player=”9Pf4fV8mquT” link=”/listen/137-guest-anil-seth-ai-human-consciousness-expert-part-1-9Pf4fV8mquT/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
137 – Guest: Anil Seth, AI-Human Consciousness Expert, part 1 This and all episodes at: https://aiandyou.net/ .
 

What does it mean to be conscious? And why should we care? To answer that, we have the man who wrote the book: Being You: The New Science of Consciousness. Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sussex, and a TED speaker with over 13 million views.
He came on the show to help us understand more about consciousness because the debate over whether an AI has become conscious may not be far off–witness the furor over Blake Lemoine asserting that LaMDA had become sentient in 2022–and yet we have no good way of settling that debate. You may be sure that you're conscious, but good luck proving it to someone on the other side of a computer link. And whether an AI is conscious will have pivotal implications for governance, not to mention our collective self image. Even if you're sure an AI can't be conscious, the space the debate will occupy in our world will be huge.
Anil is Editor-in-Chief of the academic journal Neuroscience of Consciousness, and has a PhD in artificial intelligence. Being You was a 2021 Book of the Year for The Guardian, The Economist, The New Statesman, and Bloomberg Business.
In part 1, Anil talks about how he got started in this field, distinctions of wakefulness, intelligence, self, phenomenology, Nagle's definition, Anil's three aspects of consciousness, ex Machina, and… zombies.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
Ignite your curiosity with Debjani Ghosh What is India’s approach to scaling AI to build a citizen-centric digital economy? Debjani Ghosh discusses her vision for the future of AI in India and how emerging technologies are transforming the country.



Send in a voice message: https://anchor.fm/tonyphoang/message” id=”9mRuYlNieJF” vid=”9mRuYlNieJF” id-for-player=”9mRuYlNieJF” link=”/listen/microsoft-signs-first-ai-healthcare-partnership-in-vietnam-9mRuYlNieJF/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
Microsoft signs first AI healthcare partnership in Vietnam Microsoft signs first AI healthcare partnership in Vietnam



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Show Notes:




FREE Intro To CPMAI Mini Course



CPMAI Training and Certification



AI Today Podcast #94: Understanding the Goal-Driven Systems Pa” id=”8cmXc4mJGdS” vid=”8cmXc4mJGdS” id-for-player=”8cmXc4mJGdS” link=”/listen/ai-today-podcast-ai-glossary-deepmind-alphago-and-alphazero-8cmXc4mJGdS/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary – DeepMind, AlphaGo, and AlphaZero In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level DeepMind, AlphaGo, and AlphaZero.



Show Notes:




FREE Intro To CPMAI Mini Course



CPMAI Training and Certification



AI Today Podcast #94: Understanding the Goal-Driven Systems Pattern of AI



AI Glossary
AI Today Podcast: AI Glossary Series – Machine Learning, Algorithm, Model Even though the term Artificial Intelligence does not have an agreed upon definition, the term machine learning does have a definition. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning, Algorithm, Model and explain how they relate to AI and why it's important to know about them.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial Intelligence



Show Notes:



FREE Intro to CPMAI ” id=”ADeFd7paJw7″ vid=”ADeFd7paJw7″ id-for-player=”ADeFd7paJw7″ link=”/listen/ai-today-podcast-ai-glossary-series-prediction-inference-and-generalization-ADeFd7paJw7/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series – Prediction, Inference, and Generalization In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Prediction, Inference, and Generalization, why it's important to understand these terms, and how they fit into the overall picture of AI.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Machine Learning, Algorithm, ModelGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision BoundaryGlossary Series: Regression, Linear Regression
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#221 Building A Data & Change Management Strategy to Enable Smarter Data Sharing and Innovation in Queensland This week on the Data Futurology podcast we are thrilled to welcome Tamara Mirkovic. Mirkovic is a specialist in data platforms, AI, machine learning and predictive analytics, and was recently the recipient of the Women In Digital National Award.
Mirkovic has experience building all-of-business data strategies and leading the change management program to get the organisation motivated behind the transformation.
It’s not easy, as Mirkovic said. When individuals and teams are already capable with data within their own silos, adopting a new platform can raise concerns for everything from cybersecurity to job stability. Even with the support of a visionary leadership team driving efforts from the top down, the success of a change management program relies on finding the right people to act as the champion within the peer group.
From there, it’s all about building a repeatable approach to the applications and models that will allow it to be rolled out to other teams across the organisation. “When you’ve got a critical mass of use cases, then everything going forward can be a version and iteration on what’s already been done,” Mirkovic said. “Our intention is to create enough patterns that can then be reused very quickly for other use cases.”
Finally, Mirkovic discussed what it means to have won the Woman In Digital award, and the challenges and opportunities that face women in the sector in general.
Tune in to hear these insights, and many (many) more from this wide-ranging and detailed interview!
Please note: The opinions expressed by Mirkovic in this podcast are hers alone, and not a representation of the organisations she has worked for and mentions.
Enjoy the show!
Thank you to our sponsor, Talent Insights Group!
Connect with Tamara: https://www.linkedin.com/in/tamaramirkovic/
To learn more about Women in Digital: https://www.linkedin.com/in/tamaramirkovic/
https://womenindigital.org/
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What We Discussed:
00:00 Welcome to Data Futurology
2:36 Introduction to the podcast and guest, Tamara Mirkovic.
3:09 An overview of Tamara’s experience and current role.
4:08 On the subject of building a data strategy program from the ground-up: what has been the most effective approach?
5:16 When looking at a wide-scale transformation project, how do you break it down?
7:25 What are some of the major challenges that you’ll come across when undergoing digital transformation and data transformation?
11:42 What can be done to encourage the data scientists within the organisation to change the mindset around to use common tools and approaches, to build a more collaborative environment?
17:55 How did the leadership team support the initial idea, and then the resistance that came at first?
20:22 How did you go about finding that group of champions that would help drive the change management and success of the project?
23:34 What are some of the common fears that come up during change management, and how do you address those concerns?




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#355 – David Kipping: Alien Civilizations and Habitable Worlds David Kipping is an astronomer at Columbia University, director of the Cool Worlds Lab, and host of the Cool Worlds YouTube channel. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:10) – Habitable exoplanets
(15:30) – Alien life in our Solar System
(27:20) – Starship
(31:28) – James Webb Space Telescope
(44:47) – Binary planets
(55:04) – Exomoons and Kepler-1625b
(1:08:34) – Discoveries of alien life
(1:22:15) – Aliens
(2:08:43) – Oort clouds
(2:19:30) – Future of astronomy
(2:32:45) – Alpha Centauri
(2:45:03) – Kardashev scale
(2:56:41) – AI and space exploration
(3:13:37) – Great Filter
(3:24:51) – Colonization of Mars
(3:31:35) – Simulation hypothesis
(3:43:48) – Advice for young people
(3:48:06) – Meaning of life
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–” id=”34uSzR17jc0″ vid=”34uSzR17jc0″ id-for-player=”34uSzR17jc0″ link=”/listen/356-tim-dodd-spacex-starship-rocket-engines-and-future-of-space-travel-34uSzR17jc0/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
#356 – Tim Dodd: SpaceX, Starship, Rocket Engines, and Future of Space Travel Tim Dodd is host of the Everyday Astronaut YouTube channel, where he teaches about rocket engines and all things space travel. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:18) – SpaceX rockets
(26:56) – Falcon 9
(31:08) – Starship
(35:27) – SpaceX rocket engines
(43:05) – Elon Musk
(58:41) – Twitter
(1:04:46) – How rocket engines work
(1:09:37) – Rocket fuel
(1:13:03) – Rocket engine cycles
(1:25:27) – Rocket cooling
(1:40:24) – Multistage rockets
(1:43:57) – Single-stage-to-orbit
(1:49:33) – Aerospike engine
(1:57:18) – Greatest car engine of all time
(2:02:27) – Starship
(2:05:19) – Wet dress rehearsal
(2:11:29) – Landing
(2:25:47) – Seeing starship in person
(2:34:54) – Starship orbital test
(2:41:32) – Gwynne Shotwell
(2:46:43) – dearMoon project
(3:05:46) – Fear of death
(3:14:12) – Everyday Astronaut origin story
(3:40:04) – Soviet Rocket Engine History
(3:58:51) – Russia, China, USA
(4:13:20) – Starlink
(4:21:06) – First human on Mars
(4:24:04) – Moon landing
(4:30:11) – Nuclear propulsion
(4:37:51) – Bob Lazar
(4:44:54) – Aliens
(4:48:42) – Sci-fi books
(4:52:00) – Long-term space travel
(4:58:47) – SpaceX competitors
(5:10:07) – Kerbal Space Program
(5:16:33) – Advice for young people



Show Notes:



FREE Intro to CPMAI mini course” id=”1mb0fk44R1c” vid=”1mb0fk44R1c” id-for-player=”1mb0fk44R1c” link=”/listen/ai-today-podcast-ai-glossary-series-heuristic-brute-force-search-1mb0fk44R1c/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series – Heuristic & Brute-force Search In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Heuristic & Brute-force Search, why it's important to understand these terms, and how they fit into the overall picture of AI.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI Glossary
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#354 – Jeremi Suri: American Civil War Jeremi Suri is a historian at UT Austin. Please support this podcast by checking out our sponsors:
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SUPPORT & CONNECT:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:45) – Revolutions and governments
(24:23) – American Civil War
(33:35) – Lincoln and election of 1860
(37:25) – Slavery
(50:35) – Freedom of speech
(1:02:17) – Death toll of the Civil War
(1:05:36) – Ulysses S. Grant
(1:07:45) – Ku Klux Klan
(1:19:27) – Robert E. Lee
(1:27:11) – Abraham Lincoln
(1:42:18) – If the south won
(1:50:54) – Hypocrisy of the Founders
(1:56:56) – John Wilkes Booth
(2:00:11) – White supremacy
(2:05:34) – Disputed elections
(2:15:56) – Politics
(2:24:20) – Donald Trump and Joe Biden
(2:37:06) – January 6th
(3:02:04) – Hope for the future
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#220: Expected Innovations In Data Science, AI & Machine Learning Over the Next 18 Months With Felipe Flores, Podcast Host & Data Futurology Founder The past 18 months has been a period of unprecedented innovation across data science, machine learning, and AI. The depth of research and what has been brought to market has empowered data scientists in ways that, even a year ago, could not have been predicted.
Looking forward to the next 18 months, the industry is not going to rest on its laurels, but the question is where the next waves of innovation will come from. That is what Felipe discusses on this episode of the Data Futurology podcast.
He highlights four areas in particular where he would like to see the industry focus its innovation. Starting with the ease in which to undertake data preparation, and moving through to developing better machine learning ops and engineering, the combined “key areas of innovation” would allow people working in data science and beyond, into citizen data science, to better leverage the opportunities of AI and machine learning, and at speed.
Felipe then rounds the discussion out with a look into the ethics of data science. There is a lot more discussion that needs to happen in this area, he argues, so that organisations of all sizes across the world can be sure that they’re delivering the models that have the positive impact on the world that we’re all looking for.
It’s going to be an exciting year ahead for everyone involved in data science! Tune into the podcast for more insights.
Enjoy the show!
Thank you to our sponsor, Talent Insights Group!
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What We Discussed:
00:00 Introduction
1:40 An overview of the innovation that has been brought to data science over the past few years.
2:33 Four areas where the industry can innovate further #1: Making it easier to do data preparation.
4:40 Four areas where the industry can innovate further #2: Democratising AI and empowering the citizen data scientist.
6:45 Four areas where the industry can innovate further #3: Automated machine learning can still be improved.
8:33 Four areas where the industry can innovate further #4: Better machine learning ops and engineering is important to being able to reliably deploy, monitor track and alert.
12:22 Do we have the data that we need to make the responsible models that we want to?

Quotes:

Understanding what version of data was used for a particular model, and being able to create an end-to-end link is still largely an unsolved problem.
We have to move into a world where more people in the organisation need to be able to have these AI tools at their fingertips, be able to use them and be able to get them to a point where there’s value being created from them. The barriers are still typically too high.
I’m not saying that the algorithm itself needs to improve, as that’s happening with research. Rather, this is around the creation of algorithms at speed and at a scale in a way that’s more reliable and flexible, which will make it more accessible, and increase the breadth and reach of AI in organisations.




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The book Why Greatness Cannot Be Planned: The Myth of the Objective, is not just a management/leadership motivational book. Its authors, Kenneth Stanley and Joel Lehman, are AI researchers who stumbled upon a life truth while conducting experiment” id=”8f3OG7GzdDh” vid=”8f3OG7GzdDh” id-for-player=”8f3OG7GzdDh” link=”/listen/136-guests-kenneth-stanley-and-joel-lehman-researcherauthors-part-2-8f3OG7GzdDh/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
136 – Guests: Kenneth Stanley and Joel Lehman, Researcher/authors, part 2 This and all episodes at: https://aiandyou.net/ .
 

The book Why Greatness Cannot Be Planned: The Myth of the Objective, is not just a management/leadership motivational book. Its authors, Kenneth Stanley and Joel Lehman, are AI researchers who stumbled upon a life truth while conducting experiments in genetic algorithms.
With the help of the PicBreeder program, they demonstrated that what we think we know about achieving goals is wrong. That pursuing an ambitious goal by following the direction that seems to make the most progress towards it is counterproductive. AI proved to them that all that conventional wisdom about OKRs is harmful. And sent them on a mission to convey that learning to the rest of the world.
In part 2 of our interview, hear about how their passion for this discovery grew, and how to apply the principles in your own life and organizations.
Ken was previously Charles Millican Professor of Computer Science at the University of Central Florida; Joel is a machine learning researcher interested in algorithmic creativity, AI safety, and artificial life. Both were at Uber AI Labs, where Ken was head of Core AI research and Joel was a founding member, and they were both again at OpenAI, co-leading the Open-Endedness team (studying algorithms that can innovate endlessly).
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
AI Today Podcast: AI Glossary Series – Goal-Driven Systems & Roboadvisor One of the seven patterns of AI, the objective of goal driven systems is to find the most optimal path or solution to a problem. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Goal-Driven Systems as well as Roboadvisor, why it's important to understand these terms, and how they fit into the overall picture of AI.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



Seven Patterns of AI podcast



Understanding the Goal-Driven Systems Pattern of AI



Goal-Driven Systems Pattern Infographic
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#353 – Dennis Whyte: Nuclear Fusion and the Future of Energy Dennis Whyte is a nuclear scientist at MIT and the director of the MIT Plasma Science and Fusion Center. Please support this podcast by checking out our sponsors:
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SPARC: https://www.psfc.mit.edu/sparc
MIT Plasma Science and Fusion Center: https://www.psfc.mit.edu
MIT Plasma Science and Fusion Center’s YouTube: https://youtube.com/@mitplasmascienceandfusionc6211
Commonwealth Fusion Systems: https://cfs.energy
Commonwealth Fusion Systems YouTube: https://www.youtube.com/@CommonwealthFusionSystems
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SUPPORT & CONNECT:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:54) – Nuclear fusion
(23:53) – e=mc^2
(38:20) – Fission vs fusion
(43:32) – Nuclear weapons
(47:19) – Plasma
(54:29) – Nuclear fusion reactor
(1:09:50) – 2022 nuclear fusion breakthrough explained
(1:30:27) – Magnetic confinement
(1:49:36) – ITER
(1:54:23) – SPARC
(2:08:23) – Future of fusion power
(2:16:55) – Engineering challenges
(2:35:36) – Nuclear disasters
(2:40:21) – Cold fusion
(2:54:36) – Kardashev scale
(3:04:00) – Advice for young people



Send in a voice message: https://anchor.fm/tonyphoang/message” id=”7Y17BTCGunc” vid=”7Y17BTCGunc” id-for-player=”7Y17BTCGunc” link=”/listen/stable-diffusion-midjourney-deviantart-are-being-sued-by-a-group-of-artists-7Y17BTCGunc/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
Stable Diffusion, Midjourney, DeviantArt are being sued by a group of artists Stable Diffusion, Midjourney, DeviantArt are being sued by a group of artists



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#352 – Omar Suleiman: Islam Imam Omar Suleiman is the Founder and President of the Yaqeen Institute for Islamic Research and a professor of Islamic Studies at Southern Methodist University. Please support this podcast by checking out our sponsors:
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SUPPORT & CONNECT:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(08:39) – God
(16:25) – Loss
(25:14) – Life after death
(26:53) – Why God allows suffering
(40:18) – Seeking the truth
(47:58) – Islamophobia
(1:12:55) – Muslim ban
(1:20:24) – Meaning of prayer
(1:34:01) – Mecca
(1:39:12) – Malcolm X
(1:42:23) – Muhammad Ali
(1:47:09) – Khabib Nurmagomedov
(1:53:19) – Prophets
(1:59:31) – Quran
(2:05:17) – Ramadan
(2:12:21) – Future of Islam
(2:15:30) – Colleyville synagogue hostage crisis
(2:23:37) – War and religion
(2:33:29) – Israel and Palestine
(2:59:13) – Hope for the future
(3:03:56) – Prayer



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glos” id=”2obffOYKSzU” vid=”2obffOYKSzU” id-for-player=”2obffOYKSzU” link=”/listen/ai-today-podcast-ai-glossary-series-probabilistic-deterministic-2obffOYKSzU/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series – Probabilistic & Deterministic In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Probabilistic & Deterministic and explain how they relate to AI and why it's important to know about them.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



AI Glossary Series – Artificial Intelligence
 

The book Why Greatness Cannot Be Planned: The Myth of the Objective, is not just a management/leadership motivational book. Its authors, Kenneth Stanley and Joel Lehman, are AI researchers who stumbled upon a life truth while conducting experiment” id=”1SdJw0YvqN7″ vid=”1SdJw0YvqN7″ id-for-player=”1SdJw0YvqN7″ link=”/listen/135-guests-kenneth-stanley-and-joel-lehman-researcherauthors-part-1-1SdJw0YvqN7/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
135 – Guests: Kenneth Stanley and Joel Lehman, Researcher/authors, part 1 This and all episodes at: https://aiandyou.net/ .
 

The book Why Greatness Cannot Be Planned: The Myth of the Objective, is not just a management/leadership motivational book. Its authors, Kenneth Stanley and Joel Lehman, are AI researchers who stumbled upon a life truth while conducting experiments in genetic algorithms.
With the help of the PicBreeder program, they demonstrated that what we think we know about achieving goals is wrong. That pursuing an ambitious goal by following the direction that seems to make the most progress towards it is counterproductive. AI proved to them that all that conventional wisdom about OKRs is harmful. And sent them on a mission to convey that learning to the rest of the world.
Hear how AI achieved such a startling change of heart in part 1 of our interview, the first time both of them have been interviewed together.
Ken was previously Charles Millican Professor of Computer Science at the University of Central Florida; Joel is a machine learning researcher interested in algorithmic creativity, AI safety, and artificial life. Both were at Uber AI Labs, where Ken was head of Core AI research and Joel was a founding member, and they were both again at OpenAI, co-leading the Open-Endedness team (studying algorithms that can innovate endlessly).
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.



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Meet Koko, an AI chatbot that helps you with mental health issues Meet Koko, an AI chatbot that helps you with mental health issues



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Ignite your curiosity with Dr. Katia Walsh How do we leverage AI and other intelligent tools to improve consumer experiences? Katia Walsh shares her vision and approach to AI and digital transformation to create value.
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#351 – MrBeast: Future of YouTube, Twitter, TikTok, and Instagram MrBeast is a legendary YouTube creator. Please support this podcast by checking out our sponsors:
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MrBeast’s TikTok: https://tiktok.com/@mrbeast
MrBeast’s Twitter: https://twitter.com/MrBeast
MrBeast’s Instagram: https://instagram.com/mrbeast
Feastable’s Website: https://feastables.com
MrBeast Burger’s Website: https://mrbeastburger.com
MrBeast’s Merch: https://shopmrbeast.com
PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
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– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:55) – 1 billion views and 1 billion subscribers
(12:41) – Mortality
(20:04) – Improving YouTube
(22:26) – Twitter
(27:14) – Brand deals
(30:24) – Audience retention
(35:03) – Hiring
(42:41) – Talking to the camera
(47:42) – Brainstorming
(1:00:03) – TikTok
(1:09:07) – Advice for beginners
(1:13:23) – How to grow on YouTube
(1:21:07) – Elon Musk and Twitter
(1:22:32) – 10 million dollars vs 10 million subscribers
(1:29:50) – Going to Antarctica
(1:31:35) – Process of making a video
(1:36:11) – Overcoming depression
(1:47:15) – Building a business
(1:55:10) – MrBeast Burger and Feastables
(1:59:15) – Creating video games
(2:03:24) – Making billions of dollars
(2:05:58) – Money vs Happiness
(2:12:46) – Mental health
(2:19:24) – Love
(2:21:32) – Legacy
AI Today Podcast: AI Glossary Series: Recognition Systems, Computer Vision, ImageNet The objective of the recognition pattern of AI is to have machines identify and understand the real world and unstructured data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Recognition Systems, Computer Vision, and ImageNet, how they are related, and why it’s important to have a light level understanding of these terms.
Continue reading AI Today Podcast: AI Glossary Series: Recognition Systems, Computer Vision, ImageNet at Cognilytica.
AI Today Podcast: AI Glossary Series: Personalization, Recommendation, and Hyperpersonalization The objective of the hyperpersonalization pattern of AI is to treat each individual as an individual. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Personalization, Recommendation, and Hyperpersonalization, how they are related, and why it's important to have a light level understanding of these terms, and how machine learning makes hyperpersonalization possible.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



Seven Patterns of AI podcast



Hyperpersonalization: The Double-Edged AI Sword podcast



Hyperpersonalization Pattern Infographic



Recognition Systems, Computer Vision, ImageNet AI Glossary podcast



Send in a voice message: https://anchor.fm/tonyphoang/message” id=”EVmMXh9Ef” vid=”EVmMXh9Ef” id-for-player=”EVmMXh9Ef” link=”/listen/new-york-city-bans-chat-gpt-EVmMXh9Ef/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
New York City bans Chat GPT New York City bans Chat GPT



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AI-powered lawyer, first of its kind, to represent you in court AI-powered lawyer, first of its kind, to represent you in court



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Send in a voice message: https://anchor.fm/tonyphoang/message” id=”5d8Ttjqsgzi” vid=”5d8Ttjqsgzi” id-for-player=”5d8Ttjqsgzi” link=”/listen/vall-e-the-text-to-speech-ai-that-can-mimic-anyones-voice-5d8Ttjqsgzi/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
VALL-E – the text-to-speech AI that can mimic anyone’s voice VALL-E – the text-to-speech AI that can mimic anyone’s voice



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"How Might Transhumans Control Superintelligence?" That’s the provocative title of a new paper by a returning guest, futurist Tony Czarnecki. Tony is a member of the Chatham House, and the Managing Partner of Sustensis, both in London. Sustensis i” id=”77euDEIeUVO” vid=”77euDEIeUVO” id-for-player=”77euDEIeUVO” link=”/listen/134-guest-tony-czarnecki-futurist-part-2-77euDEIeUVO/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
134 – Guest: Tony Czarnecki, Futurist, part 2 This and all episodes at: https://aiandyou.net/ .
 

"How Might Transhumans Control Superintelligence?" That's the provocative title of a new paper by a returning guest, futurist Tony Czarnecki. Tony is a member of the Chatham House, and the Managing Partner of Sustensis, both in London. Sustensis is a think tank for inspirations for humanity’s transition to coexistence with superintelligence. 
Terms like "futurist," "transhuman," and "superintelligence" may have persuaded you that this is a discussion rooted in the far future, but Tony argues how we are heading for a "tipping point" in 2030. In part 2, we talk about how "transhuman" evolution comes into play and what sort of changes we might undergo as a species.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
AI Today Podcast: AI Glossary Series: Turing Test Named after researcher and AI pioneer Alan Turing, the Turing Test aims to test whether a machine or system is “intelligent” by putting the system to a test. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the Turing Test at a high level and discuss if it's now possibly an overly simplistic assessment of whether or not machines have achieved necessary levels of intelligence.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series: Natural Language Processing (NLP)AI Glossary Series: Conversational Systems, Chatbots, Voice Assistants, Machine TranslationAI Glossary Series: Artificial IntelligenceAI Today Podcast #104: Patterns of AI – Conversation / Human Interaction
AI Today Podcast: Where Virtual Agents are headed in 2023, Interview with Pat Calhoun, CEO of Espressive Virtual agents and chatbots have been proving useful at organizations. But is their real potential yet to be tapped? In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer interview Pat Calhoun who is CEO of Espressive. He shares with us where he thinks virtual agents are headed in 2023 including why he thinks virtual agents will be the next Intranet, what the pervasiveness of chatbots means for organizations, and the impact virtual agents will have on the way we work.



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Show Notes:




Espressive website



Cognitive Project Management for AI (CPMAI)



free INTRO to CPMAI COURSE
 

"How Might Transhumans Control Superintelligence?" That’s the provocative title of a new paper by a returning guest, futurist Tony Czarnecki. Tony is a member of the Chatham House, and the Managing Partner of Sustensis, both in London. Sustensis i” id=”30KXUpzlnNj” vid=”30KXUpzlnNj” id-for-player=”30KXUpzlnNj” link=”/listen/133-guest-tony-czarnecki-futurist-part-1-30KXUpzlnNj/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
133 – Guest: Tony Czarnecki, Futurist, part 1 This and all episodes at: https://aiandyou.net/ .
 

"How Might Transhumans Control Superintelligence?" That's the provocative title of a new paper by a returning guest, futurist Tony Czarnecki. Tony is a member of the Chatham House, and the Managing Partner of Sustensis, both in London. Sustensis is a think tank for inspirations for humanity’s transition to coexistence with superintelligence. 
Terms like "futurist," "transhuman," and "superintelligence" may have persuaded you that this is a discussion rooted in the far future, but Tony argues how we are heading for a "tipping point" in 2030. In part 1, we unpack that timetable and why 2030 is so important.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.



Send in a voice message: https://anchor.fm/tonyphoang/message” id=”3UUEWUkUTJo” vid=”3UUEWUkUTJo” id-for-player=”3UUEWUkUTJo” link=”/listen/point-e-released-text-to-3d-modeler-framework-3UUEWUkUTJo/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
Point-E released – text to 3d modeler framework Point-E released – text to 3d modeler framework



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The state of AI in 2022 The state of AI in 2022



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Show Notes:



” id=”3mZMFXaxSeK” vid=”3mZMFXaxSeK” id-for-player=”3mZMFXaxSeK” link=”/listen/ai-today-podcast-ai-glossary-series-conversational-systems-chatbots-voice-assistants-machine-transla-3mZMFXaxSeK/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series-Conversational Systems, Chatbots, Voice Assistants, Machine Translation In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define AI Today the term Conversational Systems. We also define the terms Chatbots, Voice Assistants, and Machine Translation and explain how they relate to AI and why it's important to know about them.



Show Notes:




FREE Intro to CPMAI mini course



CPMAI Training and Certification



AI Glossary



AI Glossary Series – Natural Language Processing (NLP)



AI Glossary Series – Content Summarization & Analysis,Sentiment Analysis



AI Today Podcast #104: Patterns of AI – Conversation / Human Interaction



AI Today Podcast #012: Chatbots – Are they Useful?



AI Today Podcast #107: Benchmarking the Voice Assistants 2.0



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and Certificatio” id=”5JsHYxMsISG” vid=”5JsHYxMsISG” id-for-player=”5JsHYxMsISG” link=”/listen/ai-today-podcast-ai-glossary-series-content-summarization-and-analysis-sentiment-analysis-5JsHYxMsISG/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: AI Glossary Series: Content Summarization and Analysis, Sentiment Analysis In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define Content Summarization and Analysis and Sentiment Analysis. We explain at a high level what these terms are and how they relate to AI.



Show Notes:



FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Natural Language Processing (NLP)AI Glossary Series – Conversational Systems, Chatbots, Voice Assistants, Machine TranslationAI Today Podcast #104: Patterns of AI – Conversation / Human Interaction
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#350 – Betül Kaçar: Origin of Life, Ancient DNA, Panspermia, and Aliens Betül Kaçar is an astrobiologist at University of Wisconsin. Please support this podcast by checking out our sponsors:
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Betül’s Twitter: https://twitter.com/betulland
Betül’s Instagram: https://instagram.com/betul.kacar.astro/
Kacar Lab: https://kacarlab.org/
Betül’s TED Talk: https://go.ted.com/betulkacar
PODCAST INFO:
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– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(08:20) – History of life on Earth
(16:25) – Origin of life
(39:11) – Genetic language of life
(52:08) – Life and energy
(1:02:50) – Ancient DNA
(1:21:48) – Evolution
(1:33:19) – Alien life
(2:01:19) – Panspermia
(2:07:41) – Restarting life on Earth
(2:20:23) – Where ideas come from
(2:27:54) – Science and language
(2:36:31) – Love
(2:37:55) – Advice to young people
(2:42:29) – Meaning of life
 

In our now-traditional end-of-year episode, we look back on the year to date and forward to the year to be. I am joined by previous guests David Wood, chair of the London Futurists and author of the recent book The Singularity Principles: Anticipa” id=”2xOapIgn7Vy” vid=”2xOapIgn7Vy” id-for-player=”2xOapIgn7Vy” link=”/listen/132-special-panel-ai-predictions-for-2023-2xOapIgn7Vy/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
132 – Special Panel: AI Predictions for 2023 This and all episodes at: https://aiandyou.net/ .
 

In our now-traditional end-of-year episode, we look back on the year to date and forward to the year to be. I am joined by previous guests David Wood, chair of the London Futurists and author of the recent book The Singularity Principles: Anticipating and managing cataclysmically disruptive technologies, and Dan Turchin, host of the AI and the Future of Work podcast and CEO of PeopleReign. Together, we review what happened with AI in 2022 and how our predictions fared, and then make some predictions for 2023. We also have a lot to say about what ChatGPT has done and will do to the business landscape.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
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#349 – Bhaskar Sunkara: The Case for Socialism Bhaskar Sunkara is a democratic socialist, political writer, founding editor of Jacobin, president of The Nation, and author of The Socialist Manifesto. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(13:24) – Socialism
(31:54) – Communism
(58:31) – Class struggle
(1:09:33) – Quality of life
(1:17:29) – Unions
(1:29:57) – Corruption
(1:43:15) – Freedom of speech
(1:51:38) – War
(1:59:24) – Karl Marx
(2:13:03) – Socialist vision
(2:18:28) – AI and socialism
(2:23:26) – Socialist policies
(2:48:45) – Billionaires
(2:54:43) – Bernie Sanders
(3:05:10) – AOC
(3:17:11) – 2024 presidential election
(3:22:05) – China
(3:31:06) – Jacobin
(3:38:35) – The Socialist Manifesto
(3:45:55) – Advice for young people
(3:49:28) – Meaning of life
AI Today Podcast: How AI and Project Management Fit Together: Interview with Kendall Lott and Mike Fortezza, PM Point of View Podcast In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with the hosts of PM Point of View Podcast Kendall Lott and Mike Fortezza. We discuss why project managers should pay attention to AI, why data-centric approaches are needed to run AI projects, and how CPMAI can enhance PM's ability to run data projects.



Show Notes:




Managing an AI Project, Ron and Kathleen's interview on PM Point of View Podcast



PM Point Of View Podcast Series



FREE Intro to CPMAI Methodology



CPMAI Methodology



Show Notes:



FREE Intro To CPMAI Mini CourseCPMAI Training and CertificationAI Glossary” id=”B9X6esKzq3″ vid=”B9X6esKzq3″ id-for-player=”B9X6esKzq3″ link=”/listen/ai-today-podcast-glossary-series-cybernetics-B9X6esKzq3/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
AI Today Podcast: Glossary Series: Cybernetics Cybernetics has actually been around longer than the term AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define what Cybernetic systems are at a high level.



Show Notes:



FREE Intro To CPMAI Mini CourseCPMAI Training and CertificationAI Glossary
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#348 – Nathalie Cabrol: Search for Alien Life Nathalie Cabrol is an astrobiologist at the SETI Institute, directing the Carl Sagan Center for the Study of Life in the Universe. Please support this podcast by checking out our sponsors:
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In Her Orbit (article): https://nytimes.com/interactive/2018/03/22/magazine/voyages-nathalie-cabrol-searching-mars-life-on-earth.html
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:47) – Working in extreme environments
(11:26) – Water and life on Mars
(19:31) – Origin of life
(37:00) – Complexity
(40:37) – AI
(49:23) – Extinction
(57:06) – Fermi Paradox
(1:10:48) – SETI research
(1:13:39) – Diving in volcanic lakes
(1:32:57) – Surviving an earthquake on a volcano
(1:43:37) – Resilience of life
(1:51:31) – Life below the surface of Mars
(2:00:26) – Depression
(2:04:08) – Mortality
 

The AI arms race between China and the United States continues to heat up following China’s declaration that they intend to lead the world in all aspects of AI by 2030. Handel Jones has over 50 years of experience in the electronics industry and c” id=”5SR8VOvP9AF” vid=”5SR8VOvP9AF” id-for-player=”5SR8VOvP9AF” link=”/listen/131-guest-handel-jones-sino-american-ai-strategist-part-2-5SR8VOvP9AF/” is-authorized=”false” custom-styles=”margin: 0 24px 24px 0;”>
131 – Guest: Handel Jones, Sino-American AI Strategist, part 2 This and all episodes at: https://aiandyou.net/ .
 

The AI arms race between China and the United States continues to heat up following China's declaration that they intend to lead the world in all aspects of AI by 2030. Handel Jones has over 50 years of experience in the electronics industry and consulting for International Business Strategies for over 30 years, supporting governments and corporations globally, analyzing technology and predicting corporate and government strategy and market trends. His new book is When AI Rules the World: China, the US, and the Race to Control a Smart Planet, and so he is just the person to tell us what's happening with AI in China.
This interview will be of enormous use to anyone who is in or adjacent to international relations, educational strategies, or microcomputer technology supply chains. In the second half of the interview we discuss China’s development of its transportation infrastructure, developments in space, and different attitudes towards AI development between China and the West.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
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