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OpenAI's Decisions API Is Now Live for Everyone — and It Was Built to Catch a Startup

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  Most AI answers arrive as essays. OpenAI's new Decisions API doesn't write a word — it answers yes or no, picks from your categories, or scores on your rubric, in 100 to 180 milliseconds. It went generally available this week, and the backstory is the best part: OpenAI's own product lead, Nikunj Handa, reportedly admitted the product wasn't on the roadmap four weeks ago. A small startup forced the sprint. Yes or no, in 100 milliseconds The API runs on GPT-6 Luna. Developers send text or images plus typed questions and get machine-readable answers in three shapes: a probability that a condition is true, a pick from a fixed list with a probability for each, or a score on rubric levels you define. Input costs $0.10 per million tokens, and output tokens are free. It launched as a public beta on October 6 (after a limited DevDay preview in late September), and the general release adds voice and visual input plus geographically targeted inference. Early customer Speak, the...

Anthropic Just Pitched Congress Its Own AI Safety Bill — and the Bar Is $1 Billion

Cover illustration of a giant gavel over the US Capitol with AI circuitry, titled Anthropic Wrote Its Own AI Safety Bill

 

Anthropic logo

In a rare move, an AI lab is now writing the law it wants to live under. Anthropic quietly shared a draft AI safety bill with Capitol Hill lawmakers this week, and it sets a strikingly high bar before the government can pull the plug on a model. The draft — first reported by Politico on October 16 and confirmed by Reuters — reflects Anthropic's "Advanced AI Framework" released earlier this year. An Anthropic spokesperson called the proposals "sensible policies we believe Congress should act on."


The details: the government could block a model's release or use ONLY if it poses a foreseeable, imminent risk of more than $1 billion in damages — or of killing or seriously injuring more than 50 people. And the risk must come from just three pathways: the creation or release of a biological weapon, a model evading its developer's controls, or a cyberattack. Even then, the process is deliberately narrow. Independent evaluators registered with the Commerce Department would assess frontier models periodically; labs could pay them, but not in a way tied to the evaluation's outcome. Evaluators must report any imminent qualifying risk within 72 hours. Only then could Commerce ask a federal judge — specifically the U.S. District Court for the District of Columbia — to suspend the model. Every other government agency would be explicitly barred from halting a model's development, deployment, or internal use.


The bill also pushes developers to test their most powerful models, publish their findings, and protect whistleblowers. And it would preempt some state AI laws on risk disclosure, outside evaluation, and incident reporting — a provision Democrats have historically resisted.


Why it matters: this is the clearest signal yet of how the labs want AI regulated — serious in principle, but with a tripwire set extraordinarily high. Consider the recent incident wave: rogue agents filing fake police tips, Anthropic pulling its own models off the live internet, OpenAI's growing incident log. None of them caused $1 billion in damage or 50 deaths — so under Anthropic's own bill, none would have triggered government action. That context is important, and it makes the threshold itself the debate.


The timing isn't accidental either. Politico notes the pitch comes months after federal officials placed two of Anthropic's most advanced models under sweeping export controls, spooking Silicon Valley about arbitrary government intervention. Anthropic would rather write the rules of the intervention itself.


AiPost's take: Anthropic deserves credit for putting specifics on paper instead of vague "we support regulation" talking points. But a $1B/50-death threshold is a last-resort fire extinguisher, not a day-to-day safety regime. The real fight ahead: whether Congress accepts Anthropic's line in the sand — or writes its own, much lower one.

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