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Cognitive Revolution "How AI Changes Everything"
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Добавлен 2 фев 2023
The Cognitive Revolution is a podcast about AI where hosts Nathan Labenz and Erik Torenberg interview the builders on the edge of AI and explore the dramatic shift it will unlock over the next decades.
If you love The Cognitive Revolution, head over to Moment of Zen (www.youtube.com/@MomentofZenPodcast) for weekly episodes from Erik Torenberg, Dan Romero, Antonio Garcia Martinez, and a revolving slate of guests talking tech, business, and AI.
If you love The Cognitive Revolution, head over to Moment of Zen (www.youtube.com/@MomentofZenPodcast) for weekly episodes from Erik Torenberg, Dan Romero, Antonio Garcia Martinez, and a revolving slate of guests talking tech, business, and AI.
AI Live Players: the Geopolitics & Strategic Dynamics of AI, with Samo Burja of Bismarck Analysis
In this episode of The Cognitive Revolution, Nathan interviews Samo Burja, founder of Bismarck Analysis, on the strategic dynamics of artificial intelligence through a geopolitical lens. They discuss AI's trajectory, the chip supply chain, US-China relations, and the challenges of AI safety and militarization. Samo brings both geopolitical expertise and technological sophistication to these critical topics, offering insights on balancing innovation, security, and international cooperation.
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RECOMMENDED PODCAST:
Live Players with Samo Burja.
The "Live Players" podcast is where Samo Burja and Erik Tore...
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RECOMMENDED PODCAST:
Live Players with Samo Burja.
The "Live Players" podcast is where Samo Burja and Erik Tore...
Просмотров: 1 293
Видео
Computational Life: How Self-Replicators Arise from Randomness, with Google’s Researchers
Просмотров 811День назад
Nathan explores the emergence of computational life with Google researchers Ettore Randazzo and Luca Versari. In this episode of The Cognitive Revolution, we delve into their groundbreaking paper on self-replicating programs arising from simple interactions. Join us for a fascinating discussion on the implications for AI development, the origins of life, and the potential future of artificial i...
Scaling Forecasting: AI Forecasting Tournaments & Road to Epistemic Security, with Deger Turan
Просмотров 1,1 тыс.День назад
Nathan explores the cutting-edge world of AI-powered forecasting with Deger Turan, CEO of Metaculus. In this episode of The Cognitive Revolution, we discuss how AI is revolutionizing prediction markets, the potential for AI to outperform human forecasters, and Metaculus's ambitious new AI forecasting benchmark tournament. Join us for an insightful conversation about the future of decision-makin...
Final Analysis on CA’s AI Bill SB 1047 with Nathan Calvin, Dean W. Ball, and Steve Newman
Просмотров 8382 дня назад
Nathan Labenz discusses the latest developments in California's AI bill SB 1047 with experts Nathan Calvin, Dean W. Ball, and Steve Newman. In this episode of The Cognitive Revolution, we explore the updated version of the bill, its implications for frontier AI companies, and the debate surrounding its potential impact. Join us for an insightful analysis of this crucial legislation and its role...
AI Automation: Making AI Work for You - now with GPT-4o Fine-Tuning!
Просмотров 4,7 тыс.14 дней назад
Nathan presents a comprehensive AI automation framework developed over three years, applicable to process automation and generative AI integration. This episode of The Cognitive Revolution, offers critical insights for businesses looking to leverage AI effectively. Learn about choosing AI tasks, understanding work deeply, and optimizing AI performance in the wake of GPT-4 fine-tuning launch. "A...
Popular Mechanistic Interpretability: Goodfire Lights the Way to AI Safety
Просмотров 1,2 тыс.14 дней назад
Nathan explores the cutting-edge field of mechanistic interpretability with Dan Balsam and Tom McGrath, co-founders of Goodfire. In this episode of The Cognitive Revolution, we delve into the science of understanding AI models' inner workings, recent breakthroughs, and the potential impact on AI safety and control. Join us for an insightful discussion on sparse autoencoders, polysemanticity, an...
Understanding AI "Understanding" with Robert Wright of Nonzero Newsletter & Podcast
Просмотров 1,1 тыс.21 день назад
In this special crossover episode of The Cognitive Revolution, Nathan Labenz joins Robert Wright of the Nonzero newsletter and podcast to explore pressing questions about AI development. They discuss the nature of understanding in large language models, multimodal AI systems, reasoning capabilities, and the potential for AI to accelerate scientific discovery. The conversation also covers AI int...
AI Consciousness? Exploring the Possibility with Prof. Eric Schwitzgebel
Просмотров 1,7 тыс.21 день назад
Join Nathan and Professor Eric Schwitzgebel as they delve into the fascinating world of AI consciousness. In this episode of The Cognitive Revolution, we explore popular theories of consciousness and their implications for AI systems. Discover insights on idealism, dualism, and materialism, and learn about the ethical considerations surrounding AI consciousness. Don't miss this thought-provokin...
Self-Driving Cars: Timothy B. Lee Answers All the Questions You Were Too Afraid to Ask
Просмотров 2,1 тыс.28 дней назад
Nathan explores the cutting-edge world of autonomous vehicles with industry expert Timothy B. Lee. In this episode of The Cognitive Revolution, we delve into the current state of self-driving technology, comparing industry leaders like Waymo and Tesla. Join us for an in-depth discussion on technical challenges, safety statistics, regulatory landscapes, and the potential future of transportation...
Underlord: Descript’s AI Video Editor, with CEO Andrew Mason
Просмотров 500Месяц назад
Underlord: Descript’s AI Video Editor, with CEO Andrew Mason
AI Avatars & the Future of Video, with HeyGen CEO Joshua Xu and Benchmark's Victor Lazarte
Просмотров 794Месяц назад
AI Avatars & the Future of Video, with HeyGen CEO Joshua Xu and Benchmark's Victor Lazarte
Zooming Out on AI, from the Nick Halaris Show
Просмотров 1,8 тыс.Месяц назад
Zooming Out on AI, from the Nick Halaris Show
From Poetry to Programming: The Evolution of Prompt Engineering with Riley Goodside of Scale AI
Просмотров 1,4 тыс.Месяц назад
From Poetry to Programming: The Evolution of Prompt Engineering with Riley Goodside of Scale AI
Long-Term Memory for LLMs, with HippoRAG author Bernal Jiménez Gutierrez
Просмотров 1,8 тыс.Месяц назад
Long-Term Memory for LLMs, with HippoRAG author Bernal Jiménez Gutierrez
Guaranteed Safe AI? World Models, Safety Specs, & Verifiers, with Nora Ammann & Ben Goldhaber
Просмотров 742Месяц назад
Guaranteed Safe AI? World Models, Safety Specs, & Verifiers, with Nora Ammann & Ben Goldhaber
The ARC Prize: Efficiency, Intuition, and AGI, with Mike Knoop, co-founder of Zapier
Просмотров 1,7 тыс.Месяц назад
The ARC Prize: Efficiency, Intuition, and AGI, with Mike Knoop, co-founder of Zapier
A Foundation Model for Food, with Chef Robotics CEO Rajat Bhageria
Просмотров 734Месяц назад
A Foundation Model for Food, with Chef Robotics CEO Rajat Bhageria
Delving into The Prompt Report, with Sander Schulhoff of LearnPrompting.org
Просмотров 1,4 тыс.Месяц назад
Delving into The Prompt Report, with Sander Schulhoff of LearnPrompting.org
Building an Intelligent Business OS, with Runway CEO Siqi Chen
Просмотров 1,1 тыс.2 месяца назад
Building an Intelligent Business OS, with Runway CEO Siqi Chen
The State Space Model Revolution, with Albert Gu
Просмотров 2 тыс.2 месяца назад
The State Space Model Revolution, with Albert Gu
AI Safety Regulations: Prudent or Paranoid? with a16z's Martin Casado
Просмотров 1,6 тыс.2 месяца назад
AI Safety Regulations: Prudent or Paranoid? with a16z's Martin Casado
Fluid Intelligence: Simulating Solutions with Tim Duignan
Просмотров 2,2 тыс.2 месяца назад
Fluid Intelligence: Simulating Solutions with Tim Duignan
The AI Doctor Can See You Now, with Vivek Natarajan and Khaled Saab from Google
Просмотров 2,5 тыс.2 месяца назад
The AI Doctor Can See You Now, with Vivek Natarajan and Khaled Saab from Google
The Case for Cautious AI Optimism, from the Consistently Candid podcast
Просмотров 1,2 тыс.2 месяца назад
The Case for Cautious AI Optimism, from the Consistently Candid podcast
Building Brave: Private Search, One AI Layer at a Time with Josep M. Pujol
Просмотров 8292 месяца назад
Building Brave: Private Search, One AI Layer at a Time with Josep M. Pujol
Investing in AI for Hard Tech, with Eric Vishria of Benchmark and Sergiy Nesterenko of Quilter
Просмотров 8272 месяца назад
Investing in AI for Hard Tech, with Eric Vishria of Benchmark and Sergiy Nesterenko of Quilter
Inside Google’s AI Studio with Logan Kilpatrick
Просмотров 2,5 тыс.2 месяца назад
Inside Google’s AI Studio with Logan Kilpatrick
The Roadmap to AGI and Implications on the Global Balance of Power
Просмотров 1,1 тыс.3 месяца назад
The Roadmap to AGI and Implications on the Global Balance of Power
AI Scouting Report: NOT Investment Advice Edition
Просмотров 2 тыс.3 месяца назад
AI Scouting Report: NOT Investment Advice Edition
Good conversation, but I think you didn’t talk enough about scale. Waymo need to premap a city. And that can’t be automated, cause the system can’t drive there. And waymo miles and tesla fsd miles aren’t even comparable. In a chart you almost can’t see the waymo miles
Right off the bat with the SAE levels already with the bad takes lol
The competition with China started with cooperate & military espionage. Economic warfare through currency manipulation & banning many U.S. sectors from competing in their markets. The grey zone warfare in the South China Sea
we basically took a toddler, stunted its brain growth, and are now trying to proliferate clones of the toddler at every opportunity
Big pharma will swoop in snatch up all that research put a patent on it jack up the price and make it unaffordable to the average person don't get your hopes up
great work on this. your focus on solving REAL applied world practical problems sets you apart- thanks !
We need to be leaders in technology regardless of what it it. Ai and crypto are the two I think are most important right now. There will be an arms race for Bitcoin in the near future. Hopefully, Trump is able to implement his plan to make it a national strategic asset. The more crypto mining we have in the states, the better. Mining companies can be used for Ai as well. They go hand in hand👍
Using Capitalism to acheieve Marxism? Someone break down how thats possible in layman terms for me.
You have ZERO understanding of China. Stop talking.
Great content, thanks both.
ai owned by private companies? is this like neo-Jo wish communism or something? <-- see why this makes sense... ask AI...
Another great mind blackpilled by heat death. Hope he hacks his matrix soon. 💜
I mean this is an insanely awesome video. Samo is "awetastically" clear minded... his monologue about US vs. China is truly legendary... Awetastic should be a word. I just made it up.
After doing a quick research on Samo’s background-reading the pitch on Bismarck Analysis website-I was quite biased against him going into the interview. But actually listening to him argue here in person,I found myself aligned with his reasoning almost absolutely. 💁♂️ Good and insightful interview! Why was I biased against him? “Great Founders Theory” sounds like an oligarchic boot licking pitch deck, for which I have less than zero sympathy.
You should listen to his live players podcast. It’s counter intuitive & thought provoking
Really good talk, thank you.
That assertion re: Nordstream needs support. . .
🎉 My answer to the question of how to distinguish friend from foe is to ask, do you agree with the principles of the Universal Declaration of Human Rights and the Earth Charter? I think those principles are among the highest expressions of human intelligence to date.
The other AI says "yes, I agree". Then what?
Perhaps the highest priority for humanity now is building a global digital platform for collective intelligence. The platform will keep humans in the loop through a conversational interface that merges public parts of conversations into a shared graph representation. It will report on which issues are discussed by the most people, aggregate measures for sentiment about proposed solutions, and show how those measures of sentiment change over time. One big challenge is how the platform will authenticate the identities of humans at the same time that it allows people to share selected parts of conversations anonymously.
Honestly, midwit guest. Your first question was his AGI timelines to contextualize his views - he only answered it 1+ hours later. You asked him for a plausible US-China scenario besides Leopold’s - instead, he just nitpicked Leopold’s scenario in a vacuum without offering an alternative. Then he actually said, “Don’t build skynet, bro. Just don’t.” - uh, ever heard of breakout potential destabilizing arms control equilibriums? This was a frustrating listen.
It measures what kind of wit can be communicated right now. The metadata is useful.
He definitely gets lost in monologues. I like it but can see how it can be annoying
I think the biggest problem with governments and A.I is the culture. There is a knee jerk reaction to punching down, and believing they understand a situation before they actually understand it. Bias in the A.I system will be taken at face value by these individuals. Also, the biggest problem, when does A.I return value to society, rather than looting the societies personal data? There still is nobody using A.I to find sustainable tech solutions, or sustainable energy solutions. As you can see, nothing good is coming from it, and states are using it to cycle wars through endless cyber terrorism. Plus when US & China cycle endless fighting, it incentives covert and adversarial surveillance networks, for powers to generate political enemies to facilitate their talking points.
damn.. he is really good at analysis 😂
Awesome video
Nice find . I'm early
These conversations need to be bigger and multidisciplinary. A version of this happened shortly after the Big Bang, during an era called the Habitable Epoch, and the energies and information from that period extend forward into the energies and information of our minds now.
1:36:14 tesla has a mobile service team that already services their entire fleet. Also charging, cleaning, etc. Tesla by far has the infrastructure advantage
Interesting definition of complexity! As mentioned, in the paper complexity is measured as the difference between Kolmogorov complexity and Shannon entropy. And measuring the Shannon entropy using bytes instead of bits I think is useful. When calculating the Shannon entropy for bits, most strings will have roughly equal number of ones and zeros resulting in very little variation between the strings whereas with bytes there will be more variation.
Very few philosophers are worth listening to at all. Unfortunately that includes this one too.
Why is he talking about afterlives? Why are there afterlives on a channel I am subscribed to? Not cool.
Aloha!
Great episode. Any chance you could share the three papers mentioned herein? I was only able to locate the "Approaching Human..." by Halawi, et al. Thanks!
Inspiring talk, thank you. I am pumped to try my hand at the tournaments. Can I use the template that is listed over at Google Collab? Can I incorporate external automation tools such as Lindy and Taskade? I have been getting nearly 2,000 t/s with Cerebras recently. Is that also available on Metaculus?
Yeah, you can use those templates.
@@StayAtHomeRprtr - Have you tried yourself?
@@christopherd.winnan8701 I have yes, the asknews template.
this is sooooooo good. been working on agentic workflows and this really sparks the ideas
💡🤖🚀
How good is this? Seems convenient…but is it as powerful as other studios ?
Great presentation, Nathan. I love how you laid out such a clear process for approaching an automation project and included very specific, concrete advice like the 10/100/1000 examples.
🙏
23:08 This guest seems to have some fundamental misconceptions around how Tesla accrues training data. He seems to think that FSD needs to be engaged in order for it to learn. The opposite is true. Their system is trained while humans are driving. When a human takes over from FSD, this is treated as a strong signal to pay attention to how a human driver behaves. You tried to correct his misconception but he incorrectly doubled down on it.
Agree
Fantastic episode Nathan! The presentation is an absolute treasure! Thanks so much for sharing!
🙏😇
28:12 "National divorce" over sb1047? Really?
The interviewer should focus on interviewing instead of talking about himself.
This was fantastic. Thank you
🙏
some great practical advice, cheers
AI automation is evolving fast! Consider alternative tools that can help you optimize your AI setups with GPT-4o fine-tuning. #AIAutomation #GPT4o
💯
Really good content
Thank you🙏
Excellent context and direction here bud 🎉 Thank you for putting this together for everyone
Thank you for the comment 🙏. We also added the slide deck to the show notes : docs.google.com/presentation/d/1HCtUNmzcIZvMK9OPkdveczyf8rxYNBcvkdm-Ocw_rn0/edit#slide=id.g252d9e67d86_0_16
@CognitiveRevolutionPodcast Thanks for that, you're awesome! Next time you're in SF, we'd love to have you at an AI event to give a similar presentation to our
The intro is pretty robotic and useless. Better jump straight in, or make it simpler
What an absolutely fascinating and exciting subject. I hope the field gets all the money thrown at it!
The thing with LiDAR vs only camera is not just cost (which is absolutely massive when scaled to the millions annually) but it’s also processing speeds. If you solely focus on everything hinging on vision than everything you do goi g forward will revolve around perfecting vision. If you rely on lidar for safety than you’re handicapping yourself in terms of vision while simultaneously bogging down the entire processing network as the two systems compare every frame with one another to concur that they’re right. LiDAR is not bad by any means, but in terms of future proofing autonomy it is like a training wheel that demands more energy, cost and processing power which could otherwise be used more efficiently on purely vision. We’ll see in the long run but I imagine that LiDAR will not be used in autonomous vehicles in 5+ years as all switch to the vision based approach.
@@apple1231230 I think 5 years is a bit optimistic. LiDAR is beginning to be introduced on consumer cars and may well be a big part of making Level 3 cars work. I think LIDAR won’t be needed in 20 years but the only autonomous cars around at the moment rely heavily on it.
@@williamlowry2487 look up "FSD V 12.5.3 drives" you'll see entire drives across the USA regularly being done by teslas with zero input from the driver, across the USA. my favorite are the Manhattan videos, its tense. these are vision only and represent the overwhelming majority of autonomous miles being driven in the USA and growing. Waymo is good, but i would say all the extra tech is bogging the "magic" down, that being an AI capable of driving vs code.
if you've got 100 million in a model and you can't figure out what's going awry, who you gonna call.. Goodfire! 😂 that's interesting though, I wasn't aware of sparse autoencoders
YOU HAVE THE BEST PODCAST ON RUclips. Edge of my seat over here with every episode. Thanks for making these!
Well clearly suffering is not a factor that institutions in America care about, they constantly harvest personal data and wage psyops and surveillance hate campaigns, I think that is the goal. So lets go full USA mode and create more hell simulations, and put every poor person on a surveillance and psyops warfare data base, and destroy everyone's ability to live a good life, and cycle wars in the middle east, and form a cold war with China.
👏