Reinforcement Learning

135 summarised stories about Reinforcement Learning, each linking back to the original source. Browse all topics →

Key players

OpenAI Hugging Face Anthropic MarkTechPost Jev DeepSeek

Monday, 21 September 2026

Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI

Latent Space 3 weeks ago 17 ● 19 sources

TypeSafe CEO Diogo Almeida introduced Jev, a new “System 1” model approach focused on reliability and programmable decision-making for software rather than chat-first LLMs. The launch video was viewed about 40M times. TypeSafe is rolling out Jev guides and APIs while emphasizing its RLCD training goal instead of RLHF/RLVR, rejecting public benchmarks and aiming to reshape how coding agents are built.

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Developer Tools Agentic AI Reinforcement Learning

TypeSafe launched Jev because sequential LLMs are “totally useless for computers”

The New Stack 3 weeks ago 3 ● 19 sources

TypeSafe launched Jev, a “System One” text-only model meant for software decision-making rather than chat or writing. Jev’s input tokens cost $0.042 per million, and most calls are reported to finish in about 100 milliseconds. As a result, developers can embed Jev as a typed decision module inside applications with calibrated probabilities and configurable autonomy thresholds, changing how AI is integrated into products.

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OpenAI AI Agents & Workflows Model Release Reinforcement Learning

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