Unverified50% confidencePredictionExact time
Agent training is moving from completing a task in a few dozen steps to running for several hours and processing nearly a million tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
Unverified在代码Agent场景下，一次完整任务的轨迹长度可达数十万token75% similarUnverifiedAfter D0 was opened up to all of Vercel, thousands of queries poured in daily, and the team distilled recent queries into skills via scheduled tasks, accumulating approximately 100 skills to date.75% similarUnverified训练大型语言模型需要成千上万块加速芯片协同工作，持续运转数周甚至数月73% similarUnverifiedSWE-Marathon stretches tasks into dozens or even hundreds of steps of continuous editing, testing the agent's ability not to get lost in a long context.73% similarVerifiedIn multi-agent systems, each Agent call must carry the full context, and multi-turn reasoning continuously accumulates conversation history, meaning a seemingly simple multi-Agent task may consume tens of thousands or even hundreds of thousands of Tokens, whereas an equivalent workflow might only require a single call of a few hundred Tokens.73% similar
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