What's New in AI

The ARC-AGI creator fires back at NVIDIA's AGI claims with a benchmark that every frontier model fails. His argument is simple: if humans can do it cold, AGI should too.

A viral Reddit post about a massive new DeepSeek model turned out to be fabricated. The actual V4 — ~1 trillion parameters, 1M context — is still coming.

Figure 03 walked alongside Melania Trump, addressed a room of world leaders' spouses, and claimed full autonomy. The safety lawsuit loomed in the background.

The Arc Pro B70 undercuts NVIDIA by half on price and beats it on VRAM. But Intel's software stack remains the elephant in the room.

AMI Labs, founded by the Turing Award winner, bets on world models over autoregressive AI. Backed by Bezos, Schmidt, NVIDIA, and Toyota. Based in Paris.

Tufts University's first AI Jobs Risk Index maps every US metro and occupation. Historians face 67% displacement. Roofers face 0%. The pattern is brutal.

Mark Gubrud coined the term AGI in 1997 to warn about an arms race. Now he confirms we've achieved it, while living without a job or recognition.

Anthropic shipped computer use for Claude Code and Cowork — mouse, keyboard, browser, files. Plus a new Auto Mode that skips permission prompts. macOS only.

A new quantization method from Google Research achieves 4.9x KV cache compression with zero accuracy loss. No training required — it works on any model instantly.

Used RTX 3090 prices have cratered to $650 while RTX 5090s sell for $3,500. For the local LLM community, old hardware has never made more sense.