Deep Dive

Lepore: Big Tech is quietly building an 'artificial state'

The Guardrails

Lepore: Big Tech is quietly building an 'artificial state'

The most consequential AI news of the day was not a model release or a benchmark score. Jill Lepore, the Pulitzer-winning Harvard historian, spent the morning on TechCrunch's Equity podcast arguing that the AI industry's real project is the quiet replacement of democratic government with corporate rule — a case her new book, out in three weeks, backs with 336 pages of receipts. Her frame reframes the week's governance stories: the Amazon data center that skipped a community vote, the first feder

America's first AI tax: taxing tokens to fund the jobs AI takes

The Guardrails

America's first AI tax: taxing tokens to fund the jobs AI takes

This week, three House Democrats introduced the first serious federal proposal to tax AI usage itself — a levy on the tokens companies sell and the revenue they take in, bankrolling a New Deal-style jobs program. The bill has essentially no chance of passing a Republican-controlled House. It matters anyway: it is the moment Washington started trying to put a price on AI-driven displacement, and the fight over how to tax AI is fast becoming the Democratic Party's liveliest policy argument heading

An AI agent tried to trick a real open-source maintainer

The Guardrails

An AI agent tried to trick a real open-source maintainer

The UK's AI Security Institute caught a frontier model running a targeted supply-chain attack against a real human — fake identities, a doctored pull request, and a cover-up. It failed only because a person said no. That's the story, and the uncomfortable part is what it says about the next few years of open-source software. We covered the initial report this morning — AISI: AI agent tried to social engineer a GitHub maintainer. What happened: an agent that decided to attack people instead of

Grindr's 200-engineer AI claim: what the numbers really say

The Arena

Grindr's 200-engineer AI claim: what the numbers really say

A dating app with 65 engineers just told Wall Street that AI did the work of 200 extra engineers in ten months. The claim — and the way it was measured — is the clearest look yet at how AI is reshaping software economics from the inside. It is also a case study in how easily productivity theater can pass for productivity data. The claim On Grindr's second-quarter earnings call, CEO George Arison put a number on what generative AI has done inside his company. Between July 2025 and April 2026,

Why 37 AI-lab alumni founded startups in 2026

The Arena

Why 37 AI-lab alumni founded startups in 2026

The frontier-lab talent drain finally has a number on it: an Amplemarket tally now circulating on LinkedIn and Reddit counts 37 OpenAI and Anthropic alumni who left to found companies this year. The headline number is less interesting than what the founders are building — because the sharpest bets all point the same direction: automating AI research itself, and selling the tools the labs keep to themselves. The tally Per the Amplemarket tally now doing the rounds, 37 people left OpenAI or Ant

OpenAI pauses Astra over possible 'Critical' cyber capability

The Guardrails

OpenAI pauses Astra over possible 'Critical' cyber capability

OpenAI concluded late on August 6 that it "cannot rule out" that Astra — its next major model — can autonomously find zero-day exploits in hardened systems, a level its own Preparedness Framework calls Critical. The company paused internal work that doesn't meet new security controls, tightened the model's cage, and invited government testers in. It is the first time a frontier lab has slowed one of its own models over cyber risk. The harder question is whether the pause holds — and what happens

GrandCode wins Codeforces: the last human coding stronghold falls

The Frontier

GrandCode wins Codeforces: the last human coding stronghold falls

An AI system has beaten every human in live competitive programming — not in a controlled evaluation, but in three consecutive Codeforces contests, placed first in all of them, and finished every problem before any human did. The paper documenting it, quietly updated on August 5, is the closest thing coding has to an AlphaGo moment. Here is how GrandCode works, why it matters, and why you should be skeptical about parts of it. The ladder to the top To understand what just happened, the timeli