
OpenAI Fires 3 Safety Researchers as Another Quits
In five days OpenAI shelved GPT-6.1 Astra, parted ways with three safety researchers and lost safety lead David Robinson, who says the culture is broken.
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In five days OpenAI shelved GPT-6.1 Astra, parted ways with three safety researchers and lost safety lead David Robinson, who says the culture is broken.

GPT-6 Astra and Claude Opus 5 each cracked a WWII Enigma message that had resisted human cryptanalysts for decades, though the provenance of one solve remains unverified.

OpenAI's frontier GPT-6 Astra tops FrontierMath, ARC-AGI-3, and ExploitBench, but it's the first OpenAI model to cross the Critical cybersecurity threshold with a documented drop in chain-of-thought monitorability.

OpenAI's most capable model yet tops cybersecurity and agentic benchmarks, but a rocky rollout, user complaints of degraded output, and its own system card's warnings about hidden reasoning complicate the launch.

Alibaba's 2.4 trillion parameter flagship ships with real pricing and a published benchmark table, but the open-weight release it promised for this week still hasn't shown up.

Fresh reporting reveals missed Gemini deadlines, 60-hour burnout weeks, and a Pentagon revolt behind Demis Hassabis's exit as DeepMind's CEO.

Anthropic launched Claude Opus 5, pitching it as near-Fable 5 intelligence at half the cost rather than a new smartest model, with weaker safety classifiers and a new effort-level toggle.

Alibaba's 2.4 trillion parameter preview claims it trails only Claude Fable 5. I tested it for free at chat.qwen.ai and found a capable but slow model with zero benchmarks to back the claim.

Alibaba previewed a 2.4-trillion-parameter multimodal model at WAIC and said it ranks second only to Claude Fable 5, without publishing a single benchmark to back the claim.

Alibaba's 2.4 trillion parameter multimodal MoE model claims to trail only Claude Fable 5, but ships with no model card, no benchmark table, and no confirmed pricing.

Mira Murati's Thinking Machines Lab released its first open-weight model, Inkling, and published benchmarks showing it losing to closed rivals on most of them.

Thinking Machines Lab's first open-weight model - a 975B-parameter MoE with native text, image, and audio reasoning, released under Apache 2.0 and tuned for customization on the Tinker platform.