Dario Amodei appears on Saturday Night Live

A former Big Tech data scientist who spent over a decade in the industry recounts initially sharing Sal Khan's utopian view that AI would revolutionize education, then reversing it. The piece responds to Elon Musk's claim that AI can replace teachers.

An artist hand-drawing characters in Procreate tested Minimax H3 via a custom ComfyUI node (Fizgig H3 Still) for ref2v image generation of original characters. The workflow runs locally as a hobby project.

Perplexity CEO Aravind Srinivas ran 50-100 of his workflows on Opus 5.5 and found minimal differences versus Fable 5.1, which he had used as orchestrator. Reddit users echo the sentiment, with one asking which model to keep for daily use and another saying they no longer notice differences between frontier models.

Google DeepMind's Antigravity used 93 subagents, 12 hours and 2 billion tokens — under $1,000 — to build an operating system kernel from scratch that runs Doom. Kevin Hou, who leads engineering on the agentic coding product, explains the principle behind it.

Ember-1 is built on Kimi K3 and trained to cut unnecessary reasoning while holding quality on external benchmarks, live customer A/B tests, and Fireworks' own coding and agent workloads. It took 50+ training experiments and 200+ evaluations, all run on Fireworks Serverless Training.

A r/ClaudeAI poster reports Opus 5.5 turned previously recorded footage into a story-driven video, with music they believed was custom-made to fit. They say it has consistently exceeded expectations since the first demo.

On the hardest long-horizon coding and agentic benchmarks, GLM-5.2 lands between Claude Opus 4.7 and 4.8, per Z.ai head Zixuan Li. Its non-thinking mode beats GLM-5.1 with thinking enabled, and it leads other open-weight models on Artificial Analysis.