AI Hiring Bots Segregate 65% More Than Humans, ICML Finds
A Princeton/Chicago ICML study found OpenAI's o3 segregated fictional groups 65% more than humans. Diversity bonuses helped; 'be fair' prompts did not.
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Open-Weight Models Trail Closed Frontier on Cyber by 4-7 Months
UK AISI's July 17 evaluation finds GLM-5.2 and DeepSeek V4-Pro match closed frontier models from 4-7 months ago at a fraction of the cost.
Meta's Storage Blueprint Exposes the Hidden Half of AI Compute
Two July 2026 engineering posts - Meta's storage rewrite and Hugging Face's Kernels revamp - show the GPU headline misses most of what AI actually costs.
Flint, Qwen3, and a Year of LLM Groupthink
A tiny Australian startup is fine-tuning a model to break ChatGPT-style groupthink. The 'Time is a river' problem is the symptom.
ICLR 2026 Opens in Rio Under a Cloud: Reviewer Leaks, AI-Written Reviews, and the Papers That Actually Matter
The biggest AI research conference of the year kicks off with 5,355 accepted papers, two controversies that rattled the field, and findings that should worry anyone deploying LLMs in production.
Yann LeCun's $1 Billion Bet: World Models Will Beat LLMs
After 12 years at Meta, the Turing Award winner raised the largest European seed round ever to prove the AI industry got it wrong.
The February Reset: There's No 'Best AI' Anymore, and That Changes Everything
Four major AI models launched in 16 days. None of them won. Here's what that means for you.
What AI Social Networks Reveal About Us
Moltbook's viral AI manifesto isn't evidence of machine consciousness. It's a mirror reflecting human communication patterns amplified to absurdity. That's more important than any robot uprising.