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Every AI story worth reading, collected hourly from the labs, the tech press, research and the creator economy. Sorted by time, grouped by topic.

3,600 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.

Models & Labs Anthropic

Early progress on accelerating drug development with Claude

AI summary Anthropic says it has spent several months working with six drug developers, among them Generate Biomedicines and Bristol Myers Squibb, to test how Claude can speed up medicine development. At Generate, Claude Code helped design a CAR T-cell component about 70% shorter that let immune cells produce roughly 10 times more receptors, while Divergence Labs used Claude to create about 35,000 antibody designs in roughly a month. Enveda reported an 89% cut in human document review time. Anthropic also bought Mithril Medicine, a one-person muscular dystrophy startup, and expects a drug candidate could enter human trials as early as late 2028.

Models & Labs Anthropic

Expanding our partnership with GSA to bring Claude to all levels of government

AI summary Anthropic has widened its agreement with the US General Services Administration, offering public bodies a 40% price cut on the Claude API, Claude Enterprise and Claude for Government, including state, local, tribal and territorial authorities. The company expects about $1 billion in government savings, and agencies face no minimum spending requirement. Around 500 US government organizations use Claude, and weekly active users of Claude for Government have risen roughly eightfold since February.

Models & Labs Simon Willison

GPT-6.1 Terra

AI summary OpenAI has released GPT-6.1 Terra, a mid-tier model it pitches as fast and efficient, with a focus on visual reasoning, computer use and clearer writing. It costs $1 per million input tokens and $5 per million output tokens, roughly half of what GPT-5.6 Terra and GPT-6.1 Sol charge and about ten times the rate of GPT-6 Luna. OpenAI's Ted Sanders said it outperforms Astra and Sol in technical communication and matches them in vision and computer use while running much faster. A pelican drawing test at the maximum reasoning level cost 11.3161 cents and took 4 minutes 11 seconds.

Policy & Society Hacker News

Cross-request KV cache exposure in the GLM-5.3 Workers AI model (155 responses)

AI summary Cloudflare said a flaw in its Workers AI deployment of GLM-5.3 let 155 responses include data from other customers' recent requests between August 27 and September 9, 2026. The leak, reported on September 8 by Gadi Evron of Knostic, hit only prompts exceeding 681,280 tokens, and the company found no sign of deliberate exploitation. It stemmed from a KV cache pool smaller than the 1,048,576-token context window, combined with a bug in the open-source SGLang engine. After fixing both, Cloudflare restored the model on September 9 and urged operators to move to SGLang v0.5.22 or later.

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