Models & Releases

A new kind of AI model from a ChatGPT inventor is thrilling developers

Jev, a new kind of AI model, is showing developers a cheaper and faster path to software intelligence.

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A ChatGPT inventor has launched a startup that created a new transformer-based AI model designed not to produce text like traditional language models, but instead to output probabilities and calibrated decisions for specific tasks. This model is significantly cheaper and faster than large language models, cannot hallucinate, and developers have shown strong interest in using it for software automation and other practical applications. The model addresses a concern that while large language models excel at human language, they are not optimally useful for automation because computers operate differently than humans do. Early adopters have reported the model performs comparably to or better than existing models while being substantially less expensive and faster for classification and decision-making tasks.

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Anthropic releases new Mythos and Fable models amid RSI concerns

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Also reported by The Verge, SiliconANGLE and MarkTechPost

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Runway’s Praxis-1 world action model for robotics is now available

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Google releases Gemini 4 Carbon with agent ‘swarm’ feature

Google is rolling out its latest AI model, Gemini 4 Carbon, to the general public after releasing it to a select group of "cybersecurity defenders" two weeks ago. Google claims Carbon is its "strongest model" yet, and capable of competing with the very best systems from Anthropic and OpenAI. Google says Gemini 4 Carbon "pushes the frontier even further" than Argon, referring to the company's other frontier model that launched only last month. The company said Argon will likely

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Gemini 4 Carbon is now available

The latest version aims to deliver improved performance while reducing the computational resources and energy required for AI operations.

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Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens

Google has launched the Gemini Decisions API, powered by a new model, Gemini Decision 1 (gemini-decision-1). The Gemini Decisions API does not generate text. It scores up to 1,000 typed questions against one shared input and returns calibrated probabilities. For developers, this targets the small branching calls inside agents: routing, policy checks, tool selection and grading. Google prices it at $0.10 per 1M input tokens, with zero output tokens billed. TL;DR Size: Context is 262,144 t

Also reported by SiliconANGLE

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Introducing AlphaProof Code: a breakthrough in verifying complex software at depth

AlphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.