“I made an RL agent that really utilized GPUs. I could scale like linear with compute… it was very efficient and easy to extend.”
♫
Said on Training Data
“There are agents with telemetry into our compute usage, byproduct area, efficiency, utilization, and is giving me inputs and insights.”
Sources with Alex Heath · Sundar Pichai on Gemini 4 and the AI compute crunch
Play from 34:13
34:13
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What was described
run AI agents with telemetry into compute usage, efficiency and utilization to feed inputs for compute allocation decisions
Said nearby on the same subject
“Invest a lot in algorithms that are a lot more data efficient, so you need to train for less long and use less compute”
♫
Said on Unsupervised Learning with Jacob Effron
“To use the GPU power more efficiently, you can aggregate the API code from different users to fill in the computes.”
ML
Ming-Yu Liu Nvidia
Practical AI ·
“Authority comes down essentially to what decisions am I choosing as the human in the loop to make? What decisions am I giving to the agent to make? And what decisions can the AI agent never make?”
MR
Melissa Ramey
The AI in Business Podcast ·
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