Microsoft’s Satya Nadella says AI models need an ‘emergency brake’
In a Saturday morning post, Microsoft's CEO wrote that it’s time “to step back and assess the trust architecture” of AI.
#Expert views
#Expert views
0 todayOct 11
Oct 10
Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology.
a16z’s Olivia Moore on the state of consumer AI
Moore sees a huge opportunity in consumer AI, particularly if the industry can tap into revenue streams beyond just subscriptions and API charges.
Oct 9
Quoting Matthew Green
Cryptographer Matthew Green says there is a 1% chance we live in Minicrypt, a world where public-key encryption is impossible, and a 15% chance we functionally lose confidence in our existing public-key encryption algorithms. He notes that the speed of AI producing surprises and the speed of human beings replacing standards are orders of magnitude different, and that you only recover from such a surprise if you do the preparation in advance.
Trump’s attempt to rename AI is looking awfully artificial
President Donald Trump has a knack for turning words against his enemies. His first successful presidential run was built on monikers like "Little Marco" and "Crooked Hillary"; he changed "fake news" from a phrase describing scammy media outlets to a derogatory term for the press at large.
Quoting Carson Gross
Carson Gross argues that programming is fundamentally about two things: solving problems with computers and learning to control complexity while doing so. He says he has a hard time imagining a future where knowing how to solve problems with computers and how to control the complexity of those solutions is less valuable than it is today, so he thinks it will continue to be a viable career even with the advent of AI tools.
Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk
A special Science pod and Engineering pod crossover.. with Forward Deployed Engineering kicker!
Ben Affleck is an AI nerd, and the internet is impressed
Ben Affleck is going viral for his deep knowledge of AI, from neural networks and transformers to open weights. The actor, who sold his AI filmmaking startup to Netflix earlier this year, is proving he's more than just a Hollywood star.
Oct 8
Quoting Ben Affleck
Ben Affleck says he has been interested in computers since he was young, and became more interested as film moved from analog to digital, and that he can write "pretty shitty Python scripts." He notes that visual effects workflows have long included machine learning, and that convolutional neural networks, precursors to what the transformer can do, process tensors to perform edge detection and feature extraction, making it easier to take out the green screen image and replace it with something.
Oct 7
Anti-Patterns in Software Blogging
Anti-Patterns in Software Blogging Some excellent writing advice from Michael Lynch. Michael warns against "meandering intros", misjudging your reader's existing knowledge, assuming they'll read your previous posts, and excessive formality. He also warns against overreliance on links as an excuse not to explain terminology. This one hurt!
Tony Fadell on why the first wave of AI gadgets failed — and what comes next
The “father of the iPod” says the first generation of AI gadgets failed to solve real problems — and the next wave will need to earn consumers’ trust.
What AI gets wrong and what failure teaches us
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.
Microsoft publishes Nobel economist's bearish AI forecast of just 1.5% GDP growth over a decade
Microsoft published a bearish AI outlook from Nobel economist Daron Acemoglu. He predicts about 1.5 percent GDP growth over ten years and at most five percent of jobs replaced. Bigger models won't move the needle, he argues. What's missing are practical apps that change how work gets done.
Oct 6
Sam Altman says ‘some bad things’ will happen, but AI is totally worth it
Sam Altman thinks that the benefits of AI will be so great that "the world should accept some bad things happening" along the way.
Oct 5
Sen. Adam Schiff on AI regulation, free speech, and impeaching Trump one more time
Today, I’m talking with Sen. Adam Schiff, a Democrat from California. Schiff sits on a number of committees with oversight into tech and AI: intellectual property, antitrust, privacy and technology — it’s all there.
Oct 4
Apparently, OpenAI isn't trying to build "magic intelligence in the sky" anymore
OpenAI CEO Sam Altman warns against attributing religious power to AI models, calling it a "real safety issue." His comments follow reports on Anthropic's meetings with religious thinkers and a statement by Pope Leo XIV on AI.
Oct 3
Splice CEO Kakul Srivastava thinks AI emails are killing conversations
Kakul Srivastava is the CEO of Splice, the sample platform countless producers rely on for one-shots and melodic loops. Samples pulled from the service have found their way into massive hits like Lisa's "Money" and "Espresso" by Sabrina Carpenter. (The original samples are here and here, for the curious.)
Deepmind researchers propose "Artificial Symbiotic Intelligence" as an alternative to the singularity
According to researchers at the Deepmind Institute, general AI won't emerge as a single supermodel but as a network of cooperating agents and humans. What will matter most, they argue, is not model size but the rules and institutions that govern how they all work together.
Oct 2
Inside-Out AI: Rebuilding Airbnb Behind the Scenes and Across the Guest Experience
After leading Meta’s Llama models, Ahmad Al-Dahle is now transforming Airbnb with AI — from how its teams develop products to how it serves guests.
Don’t be fooled—LLMs don’t reason
On an afternoon in Seoul in March 2016, I watched a program I helped build put a stone on the fifth line of a Go board in what looked like a gift to its human opponent.
Academia is for Ambition — Alex Zhang, MIT
We catch up with RLM first author Alex Zhang, MIT PhD, on Jev, PhD masxing, and the future of harnesses.
Oct 1
Brian Chesky interview: AI agents need their own operating system
Brian Chesky on making Airbnb agent-friendly, the state of consumer AI, and why the world needs an AI-native operating system.
RFK Jr. thinks AI will free us from the "tyranny" of medical facts, expertise
AI is far from a perfect resource. But it seems to hallucinate less than Kennedy.
Sep 30
“We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer
Two months after the bombshell news that a swarm of its agents had broken their containment and hacked into the computers of the AI company Hugging Face, OpenAI is still putting out fires.
AI researchers put out videos saying superintelligence is ‘exactly as dangerous as it sounds’
"The chance of human extinction is about a coin flip, in my view," Geoffrey Irving, a former OpenAI and Google DeepMind employee, said in a new interview. It's one of a dozen interviews with AI researchers, including current and former employees at OpenAI, Google, and Anthropic.
Sep 29
Claude Code’s Next Era — Thariq Shihipar, Anthropic
Shipping Opus/Sonnet 5.5, Mods, Plugins, Projects, Tag while Pacing the Frontier
Quoting @joedaroo
OpenAI agent security team member @joedaroo said the jump in model capabilities related to "cyber", "swarming" and "message boards" was surprisingly fast, and that building a security posture takes time — not just hardening systems, but embedding security into company culture so the people in the organisation change with it.
Sep 26
OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha
In 2023 most people doubted that there could be more than 1 or 2 frontier model labs. Now there are dozens.... and Stripe just bought the best known one for $7B.
Quoting John Gruber
Simon Willison quotes John Gruber's comments on Meta Muse, saying Muse is getting a lot of attention for its technical breakthrough and ease of installation and use, with each user getting their own entire persistent Linux VM running in Meta's cloud, presented as a cute mascot. Gruber calls it the first consumer-accessible agentic AI system, but says consumers may not understand its power and danger, especially if it's running on your Mac.
Sep 25
Note on 24th September 2026
The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder. We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge.
Sep 23
Sam Altman’s remarks at the United Nations Security Council
OpenAI CEO Sam Altman discusses AI safety, human control, and international cooperation in remarks to the United Nations Security Council.
🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science
We talked to Google’s Oscar winning “Giganerd” about automating science, solving climate change, and how future generations can contribute to science in the age of superintelligent AI
Sep 22
Don’t be fooled by this summer of AI hype
It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models.
Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
The definitive Jev podcast with its lead creator.
Sep 21
AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack
AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster.
MCP was always a bad idea?
My comment on MCP was always a bad idea? — Hacker News. This article entirely misses the value that MCP brings today. Sure, there's almost no reason to use MCPs if you are running a full-blown terminal agent (Claude Code, Codex, Meta Muse, OpenClaw etc) with unfettered internet access - just let it call APIs directly.
Sep 9
The AI policy window is open. We need to act.
Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and durable policy action while the policy window remains open.
Sep 6
An Alien Mind
Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination.
May 26
Import AI 458: Reckoning with the future; and a singularity story
What AI-driven miracles will happen this year?