Krishnan: AI data headroom lies in multi-day, long-horizon tasks
Vijay Krishnan · The Man Training GPT, Gemini & Claude Reveals What's Coming Next | Vijay Krishnan, Turing · Jul 31, 2026 · at 53:21
Vijay Krishnan, co-founder of Turing, explains the shift in AI training data demand away from basic labeling toward long-horizon expert tasks.
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“Generally speaking, there's less of a room for simpler tasks. The more you're doing expert level tasks the more room might be there. The more you are into some you get closer and closer to these long horizon tasks. The kind of thing that would take a human one day or one week to complete the, but again, the more headroom there is because those are sorts of the kinds of areas where the models tend to fail the most. They generally end up doing better at the short term ones.”
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