Saanya Ojha, Partner @ BCV
Sam Altman's argument for cloud-centralized AI inference over local computation draws backlash—not because he's technically wrong about DRAM utilization, but because people optimize for control, not efficiency. Meanwhile, MIT researchers show LLMs can directly edit neural network weights to fix model behaviors, hinting at a future where weight-space becomes a programmable medium.
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Topics: AI (Horizontal) · AI Infrastructure
Published by Saanya Ojha · their site ↗
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