Raw LLM Responses

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The framing of facts in this video misses deeper thinking Dagogo. The reason why pilots are failing is because people think they can get a deterministic output from a probabilistic machine. But if you rethink workflows and deal with risk carefully, you can accelerate beyond your imagination. That creativity and curiosity of individuals to do that is rare. There are many engineered workflows that can evaluate an AI models output and increase the accuracy and quality of critical tasks. Also regarding compute, Google also have TPUs which are not only Nvidia chips, and all the infrastructure of Google Cloud to leverage training and inference similar to Meta, only difference is AI research talent working for them. AI skepticism is nuts to me
youtube AI Responsibility 2025-09-30T19:3…
Coding Result
DimensionValue
Responsibilityuser
Reasoningvirtue
Policynone
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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