One of the biggest surprises in AI over the last few years has been how well coding agents generaliz...

Y Combinator(@ycombinator)

Y Combinator(@ycombinator)2026年9月26日

One of the biggest surprises in AI over the last few years has been how well coding agents generaliz...

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Y Combinator on X: "One of the biggest surprises in AI over the last few years has been how well coding agents generaliz...

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Y Combinator on X: "One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different ro… / X

Y Combinator

@ycombinator

One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training. In this episode of Decoded, we're joined by the founders of

@

theWaddleLabs

and

Robocurve

, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world.