Jim Keller basically defined x86-64 whilst at AMD and comments on the complexity of variety of computer chips and technology involved in Tesla tech.
Conversation
asks what's missing in current AI tech and whether Tesla use open source existing stacks or custom. Jim notes the efficiencies gained by specializing and removing overheads between components. Elon/ note this can give 10x the power at a tenth the cost.
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Ask to Jim: what are the exciting architectures? On chip memory to ensure data exactly next to compute and partitioning problems to have high bandwidth interconnects where you need it.
Q to Elon: How do we convince society as a whole that AI will be better, convince them to give trust, when statistics and intuition can be at odds. thinks over time statistics will win out - even anecdotally / occasional video evidence to overwhelm negative anecdotes.
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asks whether self driving cars will have unintended societal consequences - urban sprawl, ... Also questions whether progress in public transportation would be better. states that no one wants better public transportation if they can get personal cars.
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... do we really want to open a new attack surface (ala Snow Crash ). Already concerned with modern ML being used at personalized scale against people when just armed with search history and vague interests, let alone my brain waves O_o
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