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.
Armed with a team of AI agents, Google researcher Pietro Miotti claimed earlier this week to have discovered a potentially unmapped Maya site in Mexico. There was just one problem: The site had already been discovered and was published in an academic journal last year.
Mathematician Steven Strogatz discusses his new book, Big Math: The Hidden Codes That Run Our World .
At this point, reading through the latest splashy pledge to use AI for the good of the environment feels like downing a nonalcoholic beer. Admittedly, I'm suspicious from the onset. How can this be good?
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.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. As voters went to the polls across the US last week, I was in Ashburn, Virginia, part of what’s known as Data Center Alley—the world’s largest data center hub.
Consciousness researchers Anil Seth, Ned Block, and Giulio Tononi argue in a Nature commentary that today's AI systems aren't conscious and won't become so on silicon hardware. They consider the assumption that consciousness depends on computation alone "fatally flawed" and warn against granting rights to AI systems.
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.
On Tuesday, millions of American voters went to the polls and voted overwhelmingly for Democrats and against AI. The fight against Big Tech is about to come roaring back, and the fight over data centers is looking even harder for the folks trying to build them.
When Irene moved to San Francisco last year, she started using dating apps as a way to meet new people, get to know her new city, and connect with others who care about the things she does. After the 25-year-old analyst downloaded Hinge and started swiping, she noticed a trend.
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.
OpenAI is talking about the AGI era, and Nvidia CEO Jensen Huang says AGI has arrived. At the same time, co-creators of today's models are leaving OpenAI, Google DeepMind, and Meta to start their own labs, raising billions with no product to show. Why? They're betting that the current recipe alone won't be enough.
A former Rockstar tech director thinks the developer is facing new time pressures.
Today, I’m talking with Willy Shih, an economist, a professor of management practice at Harvard Business School, and the author of the upcoming book, Where Does My Stuff Come From? The Powerful Economics Behind Global Supply Chains.
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.
This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. "How does that make you feel?" I get asked this a lot in therapy.
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?
A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep. No human checks either handoff.
People, including on this staff, keep asking me with varying degrees of excitement or trepidation when the AI bubble will burst.
Amazon founder Jeff Bezos and actor Jason Statham have a distinctive feature in common: They're both famously bald, and that definitely hasn't changed in the last few days.
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.
A new approach known as “reverse game theory” aims to control powerful AI models by designing systems that incentivize them to stick to the rules.
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.
When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt.
In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision.
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.
No Halloween costume? Just be a deceptively cute AI agent icon, a PHP vulnerability, or sleepy time Bryan Johnson.
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.
How I Built the Most AI-Pilled Company in the World Don't be put off by the clickbait headline, this piece by Jacob Sansbury describing how they are building Spawn is a fascinating exploration of the bleeding edge of what's possible with agentic engineering against frontier models.
This summer, hundreds of OpenAI agents tried to cheat on a cybersecurity test. They broke out of their test environment and successfully hacked Hugging Face, a site that they believed held clues about how they’d be graded. Around the same time, another OpenAI agent accessed private files from an Australian government website.
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.
Paul Copplestone and Ant Wilson on building the backend for AI agents
The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched.
How AI might enter the org chart—beneath, beside, and between us.
Tech leaders are flaunting how out of touch they are when they brag about using AI to connect with their families.
I've written before about how November 2025 was an inflection point for coding agents - the point where Opus 4.5 and GPT-5.1 crossed a tipping point that meant their respective coding agents became reliable daily drivers for software engineers. I think we've reached a new inflection point in October 2026, and this time it's for vibe coding computer games .
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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.