AICoding’s potential role in broader AI reasoning
A thread recounts a lesson Jeff shared from building Gemini: getting better at coding can improve reasoning more broadly.
TLDR
According to a thread recounting Jeff’s lessons from building Gemini, coding requires models to break complex problems into smaller parts, work through them and assemble a solution. Those capabilities can transfer beyond code, the thread says, highlighting their importance for agents tackling increasingly complex, long-horizon tasks. The thread also says Jeff emphasized back-of-the-envelope calculations and first-principles thinking before building: estimate processing time, consider whether data can move over a network and identify bottlenecks. It describes these feasibility checks as a skill engineers can practice.
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Coding’s potential role in broader AI reasoning
A thread recounts a lesson Jeff shared from building Gemini: getting better at coding can improve reasoning more broadly.
TLDR
According to a thread recounting Jeff’s lessons from building Gemini, coding requires models to break complex problems into smaller parts, work through them and assemble a solution. Those capabilities can transfer beyond code, the thread says, highlighting their importance for agents tackling increasingly complex, long-horizon tasks. The thread also says Jeff emphasized back-of-the-envelope calculations and first-principles thinking before building: estimate processing time, consider whether data can move over a network and identify bottlenecks. It describes these feasibility checks as a skill engineers can practice.