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Metis🌿
@MetisL2
AI Aligned, Human Defined.
加入 August 2020
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The real AI bottleneck is moving from model capability to trusted execution in messy enterprise workflows. Agents need context, permissions, evals, data boundaries, and verifiable actions. That “applied layer” is where a lot of durable AI infrastructure will be built.
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There’s a massive chasm between the power of AI models and the ultimate workflows that enterprises are trying to automate. This gap is the opportunity for the applied AI layer to fill. You need to connect the intelligence to workflows, often reengineer processes, aggregate the right context and data, allow for the right human in the loop experiences, drive change management, do domain specific evals, manage the security and governance of the data and process, and much more. We’re going to see this layer emerge in every vertical and horizontal category. And ironically, even as models improve at incredible rates, this layer still must exist - and may become even more important and useful. Greater capability enables even more complex tasks to be tackled, amplifying the challenges if you don’t do this well. Was super fun chatting with @sonyatweetybird on all the things going into AI diffusion.
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