137 summarised stories about Reinforcement Learning, each linking back to the original source. Browse all topics →
OpenAI 9 years ago 31
RL-Teacher, an open-source tool, enables AI training through occasional human feedback instead of manually designed reward functions. The technique works by having humans periodically evaluate AI behavior rather than requiring engineers to code specific reward metrics upfront. This approach addresses both safety concerns in AI development and practical cases where desired outcomes are difficult to define programmatically.
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20 October 2026
AI infrastructure is getting a very practical second act today: making agents faster to start, cheaper to run, and easier to govern once they’re running. Daytona, which sells an “agentic cloud” built around VMs for agent “computers,” raised $60 million in a Series B and landed at a $1 billion valuation, targeting 60-millisecond sandbox provisioning—an attempt to knock down the latency tax that makes agents feel sluggish between steps. IBM, Red Hat, and others also pushed llm-d framework 1.0, adding operational controls for in-house distributed inference, including multi-tenant QoS, zero-downtime upgrades, and router behavior measured on an agentic coding test that reportedly captured 97% cache reuse.
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