AgenticBloomberg Podcasts
AI Agents Are Already Changing the Price of Goods | Odd Lots
Odd Lots on agents already moving the price of goods, which is the economics the agent stories usually skip.
Pyyan / Video
Talks, interviews, lectures and podcasts worth the time, from the people who build and argue about AI. Each one carries a line on why it is here, and every link was checked before it was listed. No shorts and no clips: the shortest thing here runs twelve minutes, the longest a little over five hours.
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AgenticBloomberg Podcasts
Odd Lots on agents already moving the price of goods, which is the economics the agent stories usually skip.
Open weightsNathan Lambert
Nathan Lambert on the history of open language models, which is the context Beam and Kimi K3.1 Pro arrived into.
MoneyPatrick Boyle
Patrick Boyle on Musk's power plans, the week Musk said SpaceX had closed $40bn of debt for Nvidia chips.
MoneyNikhil Kamath
Who is actually paying for the build-out, asked over two and a half hours rather than in a thumbnail.
LawJ.D. - A Lawyer Explains
A judge's sentence vacated after he praised the AI that helped write it, explained by a lawyer.
LawBerkeley Center for Law & Technology (BCLT)
Berkeley's symposium on putting a black box on trial, the week Texas asked a court to approve models before release.
PolicyPalisade Research
Palisade Research on what AI policy can borrow from immigration policy, a comparison nobody else is making.
Open weightsSam Witteveen
Sam Witteveen actually running Meta's Muse Spark Open rather than reading its benchmark table.
SiliconRepoChad
Every route to 256GB of VRAM at home, for readers who would rather own the hardware than rent it.
MoneyAll-In Podcast
The week the chip index fell for eight straight sessions, argued by investors with money in it.
MoneyProf G Markets
Whether this ends like the railway crash of 1873, which is the comparison economists reach for when infrastructure is built faster than demand.
PolicyLiveNOW from FOX
Anthropic's rewritten usage rules explained for a general audience, including the clause about cruelty to the model.
Safety80,000 Hours
A practical route into safety work, for readers who would rather do something than read another warning.
Open weightsFastino Labs
Shipping open models to production, the week Meta released 816 billion parameters with a licence attached.
MoneyNicholas Thompson
Ray Dalio on why he thinks it is a bubble, from someone who has called a few and missed a few.
AgenticVentureBeat
Measuring the pull requests rather than the lines, which is what changes when agents write the code.
ScienceLifers with Christina Farr
Whether healthcare AI is ready to deploy, asked by people who have to sign off on it.
ResearchDataTalksClub ⬛
How to build evaluations you can actually trust, which is the unglamorous skill behind every benchmark number on this site.
ResearchSimons Institute for the Theory of Computing
Detecting uncertainty in a model's own answers, which is the measurement the whole decision-model category is sold on.
Peoplenewslaundry
An IISc professor on what AI does to education and work in India, which is the part of this story told least often.
LawBillboard
The head of the recording industry on AI and copyright, while Universal and Sony are suing Suno for the second time.
PeopleFair Game by Vanity Fair
Altman on Musk and the future, in a long interview rather than a keynote, while OpenAI's IPO is being prepared.
PolicyAssociated Press
A former Anthropic researcher testifying to New York City Council, which is where the slowdown argument has reached.
ResearchMax Planck Institute for Intelligent Systems
What machine learning research looks like now that the models write some of it, from a summer school lecture rather than a launch.
AgenticThe Deep View
Whether guardian agents can watch other agents, asked the week Nvidia started selling exactly that in silicon.
PolicyAxios
The Treasury Secretary on AI and the economy, three weeks after refusing the labs a liability exemption.
PolicyThe Economist
Google's former chief executive on how drones and software changed war, which is the argument behind every export rule on this site.
SafetyProf G Markets
The philosopher who wrote the book on superintelligence twelve years before this argument reached the front pages, on why the industry is only listening now.
MoneyThis Week in Startups
Hugging Face's co-founder on open source and Nvidia, recorded while Nvidia's purchase of the company is still closing.
SiliconvCluster
The analyst who tracks the compute market on what it takes to build an AI cloud, and who is short of the people to do it.
SafetyDecoder with Nilay Patel
Microsoft's AI chief agrees the threats are real and says Anthropic's way of talking about them makes things worse.
SafetyAlex Kantrowitz
Existential risk argued slowly and without the shouting, which is rarer than it should be this month.
PeopleBloomberg Tech
Meta's founder on the safety debate, filling in the one frontier lab that said nothing when the other three called for pacing.
AgenticSequoia Capital
What enterprise adoption actually looks like from a chief executive selling into it every day.
ResearchMachine Learning Street Talk
How models learn across language, video and action, from NVIDIA's lead on physical AI.
PolicySalesforce
Salesforce's founder with the UAE's minister for AI, on what a state does when it decides to run on this.
MoneyAll-In Podcast
Microsoft's chief executive on the slowdown argument, from the company that owns the largest stake in the lab that started it.
PolicyAll-In Podcast
The Vice President on AI, from an administration whose Treasury Secretary has just refused the labs a liability exemption.
ResearchMachine Learning Street Talk
Why speech recognition is not finished, in the week Google took the top of the speech to speech board.
SiliconAll-In Podcast
Nvidia's chief executive answers the slowdown argument directly, from the company that sells the compute the argument is about.
PeopleAll-In Podcast
Musk and Gwynne Shotwell on AI risk and peer review, recorded after he agreed in public that Amodei is right.
MoneyBloomberg Tech
Bloomberg on what a frontier slowdown does to the companies whose valuations assume there is not one.
PolicyCBS News
The White House AI adviser's answer to the chief executives calling for a slowdown.
SafetyCBS Sunday Morning
The long version of the Amodei interview, days after the essay asking the industry to pace itself.
SafetyCNN
Amodei on the day he published his essay calling for the industry to pace itself, answering the warning from a researcher who had just left his company.
SafetyFortune Magazine
Altman saying AI beyond human control is absolutely possible, in the same week he took a 2026 OpenAI listing off the table.
ResearchMachine Learning Street Talk
What an AI scientist needs beyond raw intelligence, argued at length rather than demonstrated in a demo.
MoneyBloomberg Podcasts
An early backer of both OpenAI and Anthropic, who runs investment at the world's largest hedge fund, on why he thinks extinction risk is real.
ResearchDwarkesh Patel
Researchers from inside the labs arguing about how close recursive self improvement is, the question behind this week's calls to slow down.
ResearchGoogle DeepMind
Weather is one of the few places a model's prediction is checked against reality within days, which makes it an honest test.
SafetyPowerfulJRE
The former OpenAI governance researcher behind the AI 2027 scenario, given two hours on the largest podcast there is.
PeopleNicholas Thompson
Richard Socher, founder of You.com, interviewed by the chief executive of The Atlantic about the race to superintelligence.
SafetyNBC News
Jacob Coxon, the day he resigned from Anthropic, on why he said the people building AI believe it could kill everyone.
AgenticAI Engineer
How LinkedIn runs five hundred agent skills without fine tuning a model, from the engineer who built it.
AgenticArmin Ronacher
Two engineers who use agents daily on what actually changed this month, rather than what was announced.
ModelsSources Podcast
Zuckerberg on Muse the week Meta put a price on developers' prompts, talking about the agent built on the same model.
Researcha16z
Two OpenAI mathematicians on how fast AI's mathematical ability is moving, from people who check the proofs rather than market them.
AgenticLatent Space
What happens to a software company that moves its engineering onto agents, from the chief executive who did it.
Researcha16z
World models are the line of research that does not run through a chatbot, and this is the clearest recent account of why anyone is betting on them.
ModelsY Combinator
Which open models people actually run, from the founder of a tool nine million developers use to run them.
ModelsBloomberg Television
Altman on the day GPT-6 Astra shipped, to a financial broadcaster rather than a technology podcast.
PeopleBloomberg Podcasts
Kai-Fu Lee on how Chinese labs are closing the gap under chip restrictions, the week before the US named six of them for distillation.
PeopleTIME
OpenAI's president on AGI and cybersecurity, recorded the week before Astra shipped and he said it may be the arrival of general intelligence.
SafetyCrowdStrike
Jensen Huang and Greg Brockman on stage about offensive AI, in the same week a consultancy published the first index of it.
SafetyDwarkesh Patel
Two hours on what an early warning of loss of control would actually look like, from someone who has spent a decade on the question.
ModelsSources Podcast
Recorded around the GPT-6 Astra release, with Altman on the AGI claim his own president made rather than a summary of it.
Silicona16z
Gavin Baker on why demand for compute keeps outrunning supply, which is the story behind this week's chip price rises.
SafetyDwarkesh Patel
The July attack is the reason OpenAI delayed a model and added safeguards, and it sits behind the Hugging Face story. Twenty five minutes on what actually happened.
PeopleThe Peter McCormack Show
Emad Mostaque at length on work and income. The title is the channel's claim, not a finding; the interview is the argument behind it.
FoundationsGoogle DeepMind
How a model can know what it does not know. The question behind every confidence field in this site's index.
AgenticLex Fridman
Five hours with the creator of Ruby on Rails on what agentic engineering does to programming, from someone with every reason to be sceptical.
SiliconDwarkesh Patel
SemiAnalysis on where the compute actually goes, and the argument that two labs end up holding most of it.
ResearchSequoia Capital
Two weeks old. Why models stop learning once training ends, and what a system that kept learning would need.
ResearchAndrew Huberman
Fei-Fei Li on spatial intelligence to an audience that is not the AI industry, which makes her explain rather than assume.
Researcha16z
World Labs on the robotics problem they think is hardest, which is not the one most people name.
PolicyGZERO Media
Bengio on governance moving slower than capability, recorded before a US senator proposed banning superintelligence outright.
ModelsOpenAI
OpenAI's own launch stream for ChatGPT Work. Marketing, watched as marketing, and still the primary source.
People20VC with Harry Stebbings
Perplexity's founder on export controls and why he thinks a memory company is worth more than Meta.
PeopleBloomberg Live
Murati on what she left OpenAI to build, which she has said very little about anywhere else.
PeopleStanford Graduate School of Business
An hour with Hassabis in front of a business school audience, which produces different questions from a tech interviewer.
PeopleCNBC International
Whether Europe can field a frontier lab at all, put to the person running its best attempt.
ResearchUnsupervised Learning: With Jacob Effron
The most senior person publicly arguing that the current approach is a dead end, at length, with the alternative he is building instead.
PeopleSequoia Capital
A specific claim, with a number attached, from someone in a position to know. Twenty seven minutes.
AgenticSequoia Capital
Half an hour that named the shift the agentic box on this site is about. The most quoted talk of the year for a reason.
SiliconLex Fridman
Huang on how the company selling the shovels came to be worth four trillion dollars.
PeopleStarTalk
Hinton with an interviewer who pushes back, which is rarer than it should be. Three million views.
PeopleDwarkesh Patel
The interview where he said the exponential is ending. Over a million views and quoted all year.
PeopleFinancial Times
Microsoft AI's stated goal, in his own words, to an interviewer who asks what the words mean.
SiliconLex Fridman
A four hour state of the field: scaling, China, agents, GPUs. The single best catch-up if you have been away.
ResearchGoogle DeepMind
Hassabis on his own lab's channel with Hannah Fry asking real questions. Ten million views, and it earns them.
ResearchGoogle DeepMind
John Jumper on AlphaFold, from the problem to the Nobel Prize, on DeepMind's own channel.
ResearchDwarkesh Patel
He says almost nothing in public. This is the interview where he argued scaling alone has stopped being the answer, before the field agreed.
ResearchDwarkesh Patel
The man who wrote the book on reinforcement learning arguing that language models are a dead end.
ResearchAnthropic
Anthropic's own researchers on looking inside a model. The best public introduction to interpretability.
ResearchY Combinator
Scaling laws from the person who wrote them down, which is a different talk from anyone else giving it.
PeopleThe Royal Institution
The Royal Institution lecture. Same argument, made to a room rather than a camera, and better for it.
PeopleY Combinator
Musk to a room of founders rather than a broadcaster, which changes what he bothers to explain.
SafetyTED
Fifteen minutes. If you want the risk case from a Turing laureate without an afternoon to spare, this is it.
ResearchSequoia Capital
The person who built much of Google's infrastructure on what he thinks changes next.
FoundationsStanford Online
Stanford's language modelling course, taught properly over a term. The 2026 lectures have embedding switched off, so this is the edition you can watch here.
BenchmarksARC Prize
The ARC-AGI-2 rules, explained by the person who set them. Twenty minutes, and it changes how you read a benchmark score.
ResearchVeritasium
Ten million people have watched this account of the most useful thing AI has done. It deserves them.
FoundationsAndrej Karpathy
Three and a half hours from tokenisation to RLHF, aimed at people who want the whole machine rather than an analogy.
SiliconCNBC
Six million views on how a Chinese lab rearranged everyone's assumptions. Useful background to this year's open weights run.
ResearchMachine Learning Street Talk
Chollet on reasoning models and why his benchmark keeps being harder than it looks.
PeopleLex Fridman
Five hours with Anthropic's chief executive. Long enough that the media-trained answers run out.
Foundations3Blue1Brown
Where a fact physically lives inside a model, which turns out to be a real question with a partial answer.
ResearchAnthropic
The follow-up: what breaks when you try to do interpretability on a frontier-sized model.
ResearchTED
The TED talk that put spatial intelligence in the vocabulary. Fifteen minutes and still the clearest statement of it.
FoundationsTED
The definition question, asked properly. Nearly three million people have watched someone try to say what an AI is.
Foundations3Blue1Brown
Attention, drawn rather than described. The follow-up to the transformers chapter and the part most explanations skip.
Foundations3Blue1Brown
The clearest explanation of a transformer that exists, and eleven million people agree. Start here if the architecture has never quite landed.
FoundationsAndrej Karpathy
The hour that taught a lot of the industry how to talk about LLMs. Older now, and still the cleanest overview.
SafetyCITRIS and the Banatao Institute
The control problem, laid out by the person who wrote the textbook most of the field learned from.
FoundationsAndrej Karpathy
Backpropagation built from nothing, in Python, with every line explained. The one to watch if you learn by making it.
Foundations3Blue1Brown
Twenty four million views and still the best first hour anyone has spent on neural networks.
Featuring Sam Altman, Eric Schmidt, Nick Bostrom, Clément Delangue, Mustafa Suleyman, Mark Zuckerberg, Satya Nadella, Jensen Huang, Elon Musk, Dario Amodei, Kai-Fu Lee, Greg Brockman, Emad Mostaque, Richard Sutton, Fei-Fei Li, Yoshua Bengio, Aravind Srinivas, Mira Murati, Demis Hassabis, Arthur Mensch, Yann LeCun, Andrej Karpathy, Geoffrey Hinton, Ilya Sutskever, Jared Kaplan, Jeff Dean, Stuart Russell and others from the index of people.