AI News

Muse's Social Media Handle Is Stolen by New Meta AI Tool

"Good" AI

Defining AI Psychosis. Part 2: "Prolific AI Psychosis"

Anthropic Is Building a Predictive Surveillance System to Monitor Activists

Understanding the Recent DDoS Attack Against Read the Docs

Better AI code comment detector

Rails 8 Guide: Features, Requirements and Upgrade Path (2026)

Viral AI assistant Instinct now has its own email address

Instinct’s new email feature lets the AI agent create and manage accounts, contact businesses, handle support requests, and do more on users' behalf.

Uber rival inDrive scales beyond ride-hailing to capture more consumer spending

inDrive's ad business, first piloted in July 2025, has served more than 2 billion impressions and attracted over 2,000 paying advertisers a month.

Anthropic researcher says more than 10% chance AI "could kill all humans"

Show HN: Give your AI agent on-screen guides that show users where to click

Hey HN. I'm Christian, one of the founders of Frigade (YC W23). I've noticed that a lot of in-app AI agents struggle to actually understand the products they exist in.For instance, let's say a user as…

‘Gambling with our lives’: Anthropic researcher quits, warns against self-improving AI 

Anthropic researcher Jacob Coxon resigned over AI extinction fears, calling for pacing agreements between labs.

Show HN: Geiger – See every AI agent on your machine and what it can touch

Shipt becomes the latest delivery app with an AI shopping assistant

Users can ask the assistant to do things like "Create a cart for my Saturday tailgate for 25 people and include some brunch items," or "Build a cart for easy school lunches and after-school snacks," S…

GPT-6 Astra, Looped Transformers, and Hidden Reasoning

Microsoft/TracerAI withdraws copyright takedown against Luanti

The Verification Bottleneck in AI-Generated Software

AI can generate code faster than ever. That doesn't mean we're shipping correct software...

AI spend per employee slumped at top firms in August — summer doldrums or a warning sign?

Falling token costs, cheaper models, and less spend per employee—AI adoption isn't playing out the way hyperscalers hoped.