Always-on AI agents turn infrastructure into a continuous learning loop

What happened

Always-on AI agents (AI that carries out multi-step tasks rather than answering one question) turn infrastructure into a continuous learning loop, according to SiliconANGLE. AI agent infrastructure is evolving to support systems that move continuously among inference, feedback and training. Cognition AI Inc.’s Devin now assists throughout the software development lifecycle, from planning and writing code to reviewing it and responding to production problems.

That expanding role requires AI agent infrastructure capable of supporting continual learning at scale, according […] The post Always-on AI agents turn infrastructure into a continuous learning loop appeared first on SiliconANGLE . UPDATED 15:12 EDT / OCTOBER 01 2026 AI Always-on AI agents turn infrastructure into a continuous learning loop by Victoria Gayton AI agent infrastructure is evolving to support systems that move continuously among inference, feedback and training.

That expanding role requires AI agent infrastructure capable of supporting continual learning at scale, according to Silas Alberti (pictured, right), head of research and founding team at Cognition. Alberti and Chen Goldberg (left), executive vice president of product and engineering at CoreWeave Inc., spoke with theCUBE Research’s Dave Vellante and John Furrier at the Fully Connected event , during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed continuous learning, distributed AI training, infrastructure reliability and CoreWeave Forge.