Source link : https://tech365.info/langchains-ceo-argues-that-higher-fashions-alone-receivedt-get-your-ai-agent-to-manufacturing/
As fashions get smarter and extra succesful, the “harnesses” round them should additionally evolve.
This “harness engineering” is an extension of context engineering, says LangChain co-founder and CEO Harrison Chase in a brand new VentureBeat Past the Pilot podcast episode. Whereas conventional AI harnesses have tended to constrain fashions from working in loops and calling instruments, harnesses particularly constructed for AI brokers enable them to work together extra independently and successfully carry out long-running duties.
Chase additionally weighed in on OpenAI’s acquisition of OpenClaw, arguing that its viral success got here right down to a willingness to “let it rip” in ways in which no main lab would — and questioning whether or not the acquisition really will get OpenAI nearer to a secure enterprise model of the product.
“The trend in harnesses is to actually give the large language model (LLM) itself more control over context engineering, letting it decide what it sees and what it doesn’t see,” Chase says. “Now, this idea of a long-running, more autonomous assistant is viable.”
Monitoring progress and sustaining coherence
Whereas the idea of permitting LLMs to run in a loop and name instruments appears comparatively easy, it’s troublesome to tug off reliably, Chase famous. For some time, fashions had been “below the threshold of usefulness” and easily couldn’t run in a loop, so devs used graphs and wrote chains to get round that. Chase…
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Author : tech365
Publish date : 2026-03-06 23:59:00
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