Today, I’m talking with Helen Toner, the executive director of the Center for Security and Emerging Technology at Georgetown University. This episode is part two of our series on AI in real life.
Former OpenAI and Anthropic researcher Jacob Coxon points to a slide from Anthropic's IPO roadshow as a reason he left, saying it shows the company's algorithms are improving not just quickly but at an accelerating rate. Coxon continues to call for a pause on frontier model development so competitors can catch up and human-level AI can become a commodity.
Researcher traces a path from AI reward hacking to potential human extinction.
Researcher traces a path from AI reward hacking to potential human extinction.
I had other things to do today, but Alex Karp's pathetic attempt to pivot back to the left gave me no choice but to put them on hold.
JioStar’s Vijay Seshadri explains AI discovery at 500M-user scale. Read his lessons on evals, guardrails, and taking AI into production.
Where does answer engine optimization (AEO) end and agent experience begin? Inside Resend, from the docs that help Claude Code pick an email API to the tools it uses to send.
During Paramount Skydance's latest earnings call, CEO David Ellison said "it's hard to imagine" AI won't have a bigger impact on the film industry than CGI.
Tencent chief AI scientist Vinces Yao Shunyu warns that AI will soon be able to develop bioweapons and argues for a middle ground between open and closed models. While safety filters on open-source systems can be easily stripped through abliteration, closed models like Anthropic's Claude often block too aggressively.
Today, I’m talking with Mitch Glazier, who is CEO and chairman of the RIAA. This conversation was a real full-circle moment for me: I was in college when Napster hit, and the RIAA became everyone’s villain for suing kids for downloading music.
Turing Award winner Richard Sutton reaffirms that raw compute alone isn't enough for intelligence and that fundamentally new learning methods are needed. Ex-OpenAI researcher Tworek agrees, saying blind transformer scaling "has reward hacked brains of a whole generation of scientists." A growing wave of startups is already betting on exactly this gap.
Today, I’m talking with Alex Stamos, chief security officer at Cognition and longtime cybersecurity expert, about what a mess cybersecurity is right now. This episode is part one of a special series looking at AI in real life.
Speaking on The Vergecast, The Verge's Nilay Patel said AI products aren't good enough for users to accept their costs, and that data centre noise, AI overviews and deepfake content aren't worth it, while agents aren't real yet. He said these companies are spending more than they make, the costs are too high and the benefits aren't real, and the AI industry will only get out of it by making better products.
As systems biology efforts heat up to map biology at higher resolution, greater breadth and more modalities, Fabian Theis is pushing the frontier from mapping to predicting to controlling biology
Fabian Theis has been one of the key players in the various iterations of the Virtual Cell concept and initiatives.
Paul Ford argues that the web browser is very, very, very powerful software for applications, and the cost of accessing that power is going down seemingly every day. The remark comes from his article The Web Is More Than Enough, published on 5 November 2026.
Chris Alexiuk has a simple rule about open source AI: If you believe in it, be loud about it. “We should be shouting about this technology from the rooftops,” said Alexiuk, a Toronto-based senior product research engineer in deep learning at NVIDIA who specializes in making open large language models (LLMs) practical for working developers.
One of the basic problems of spending too much time on social media is that you are cooking your brain by reading posts from a pack of attention-seeking lunatics.
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up?
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules.
My comment on AI is destroying my CS degree — Hacker News. I don't envy educators right now. AI clearly means you need to change how you teach and evaluate students. We are only a few years in though, and it's still extremely unclear what effective teaching with these tools looks like.
Y Combinator Garry Tan has jokingly admitted that he's suffered from "cyber psychosis” and barely sleeps sometimes because he’s so excited to be working with his AI agents. On a new episode of Walter Isaacson’s podcast, The Builders, Tan put a price tag on his passion.
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work?
Evals without traces, million-cell tabular reviews, and cracks in the billable hour as a business model
Engineer Venkatesh Rao compares the fear of AI job losses to mercantilism: intelligence is treated as a scarce resource that elites want to control. But AI could boost demand for human thinking, much like early capitalism made people voluntarily work more.
On Equity, we discuss why tech CEO statements can seem so tone deaf.
Kyle Kingsbury, author of Jepsen, says in his test results for ParticleDB 1.1.4 that the use of LLMs is eroding trust in documentation, in software and in the organisations that produce them. The signals once relied on as markers of a mature system are now easier to counterfeit, he argues, and engineers may come to treat any new software project with suspicion. He also asks how maintainers can ensure correct software and accurate documentation in the age of LLMs, and how they can demonstrate that quality to users.
Apple's new CEO defended the company's current position in the AI landscape.
Asked about supply chain shortages, like the ongoing RAM shortage, OpenAI CEO Sam Altman said in an interview that it's "terrible" to have RAM in personal PCs instead of data centers.
The cautionary Theranos tale takes on a new significance in the AI era, when companies that have never turned a profit are raising capital at trillion-dollar valuations.
After months of bombarding mathematicians with a relentless stream of AI-generated results, OpenAI CEO Sam Altman says he sympathizes with researchers struggling to make sense of it all. But he has no intention of stopping - and hints there could be much more to come from the company's stockpile of discoveries.
Ben Hylak argues that every product he uses should be a headless MCP feeding into an agent, so users never have to think about what lies underneath — except for his own product, whose customers love its UI.
Asked about AI and the trend of college students booing tech CEOs at graduation ceremonies, Instagram head Adam Mosseri acknowledged in an interview that a lot of people really don't like AI, and it's not just young people and creatives.
OpenAI's Ted Sanders explains that while LLM performance is multidimensional, much of the variation is explained by a single variable: model size. Bigger models are more performant and reliable, cost more per token, and have better recall of esoteric facts.
Tech leaders are flaunting how out of touch they are when they brag about using AI to connect with their families.
Anthropic manager Felix Rieseberg says the classic coding interview is dead because Claude now solves small programming tasks better than job candidates do. He'd rather see prototypes that show taste, empathy, and principled thinking, since in his words, "hunger beats tenure."
In an update from Amazon engineering leadership on the developer's role in the age of AI, Terk Terkowitz says that if current AI tooling does not benefit your work, that is a finding, not a failing. He advises documenting why, sharing it with your community of peers, bringing it to your manager and working to find solutions, and says an engineer who can explain where AI does not yet help their work is demonstrating the judgement being asked for.
Katelyn Lesse and Angela Jiang join Latent Space to explain the engineering behind the Claude Platform: launching Opus 5.5, separating the model’s “brain” from the agent’s “hands,” scaling APIs, and building reliable managed agents.
Katelyn Lesse and Angela Jiang on Opus 5.5, the Claude Platform, and the engineering behind AI agents.
In Marvel's VisionQuest, a superpowered robot tries to better understand humanity by getting lost in elaborate, digital daydreams in which he and other artificial intelligence-powered beings live together in a home.