Ethereum's Vitalik Buterin questions the rush to make AI models even more agentic
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Ethereum’s co-founder Vitalik Buterin spoke out against the emphasis on making AI models more agentic. Buterin believes open-weight models with more human input are the way forward. Vitalik Buterin spoke out against the drive to make AI more agentic instead of making it more capable of getting more feedback from humans. Echoing something @karpathy recently said, it does frustrate me how a lot of AI development is trying to be as "agentic" as possible, when actually creating *more* paths for human input both creates a better output (now for quite a while going forward) and is better for safety. — vitalik.eth (@VitalikButerin) August 11, 2025 Agentic AI, creating a notable personality, has been a success with end users as a novelty feature. In crypto, agents with a clear brand and personality became the norm, for their potential to drive engagement on social media. As Cryptopolitan reported earlier, Vitalik also saw limited utility in using AI to enhance crypto activity. Buterin replied to a previous thread by Andrej Karpathy, where he explained that the most widely used AI models spend too much resources on offering agentic solutions without explicit prompts. I'm noticing that due to (I think?) a lot of benchmarkmaxxing on long horizon tasks, LLMs are becoming a little too agentic by default, a little beyond my average use case. For example in coding, the models now tend to reason for a fairly long time, they have an inclination to… — Andrej Karpathy (@karpathy) August 9, 2025 Agentic AI has promised to scale tasks at a speed and efficiency impossible for humans. However, the human feedback and input approach may bring more accurate results for specific queries and tasks. Buterin focused more on output and the ability of humans to receive the desired output. AI agents, on the other hand,…
