OpenAI launched a Decisions API to automate routine business classification decisions after TypeSafe’s Jev gained viral traction. OpenAI said its interface can return decisions up to 10 times faster than calling GPT-6 Luna through its general Responses API and priced inputs at $0.10 per million tokens versus Jev’s $0.042. Developers now have two competing “decision” products with different latency and cost tradeoffs, pushing them to adjust how they structure classification prompts and thresholds for human review.
Zvi (Don't Worry About the Vase)·1 week ago·
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OpenAI released solutions to open math problems, contributing the biggest day in the history of mathematics mentioned in the article. It solved 90 of the top 500 open problems, reaching an average of three hours of Pro-level compute per question. The focus shifts to covering this math breakthrough and to ongoing updates across AI products, adoption, safety policy disputes, and new model releases.
Anthropic released Claude Haiku 5.5, a smaller Claude model aimed at high-volume, speed-sensitive tasks and subagent coding work. The model costs around 75% less to run than Haiku 4.5, and Anthropic also cut Sonnet 5.5 cache read pricing by 50% to make it about 20% cheaper on most agentic work. Anthropic is also adding an adjustable “effort” setting and introducing new monthly API credits for Max and Team subscribers, with platform SDK updates adding beta support for computer and browser use.
OpenAI released 372 major mathematical results, including a proof of Subhash Khot’s Unique Games Conjecture, but the author says few humans yet understand the proofs and are starting a new digestion effort. The work reportedly used about 3 hours of GPT-Pro-level compute on average per solved problem and tested on about 8,000 problems. As a result, mathematicians are rushing to formalize and learn from messy AI-generated proofs while the field shifts toward using AI tooling to help verify and explain progress.
Anthropic released Claude Haiku 5.5, updating its Haiku-tier small model after about a year. The new model is priced to match OpenAI’s GPT-6 Luna at the same rates and Anthropic also cut Sonnet 5.5 cache-read pricing from $0.20 to $0.10 per 1M tokens. As a result, Anthropic expands Haiku’s role as the cheaper, high-volume subagent for multi-model agent workflows while also lowering related operating costs and adding effort settings plus a 1M-token context.
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