HPC fundamentals have always worked this way. It seems novel or counterintuitive only in the context of the last decade of hyper scale cloud vendors who had insane margins on compute because their customers were all I/O bound.
HPC fundamentals have always worked this way. It seems novel or counterintuitive only in the context of the last decade of hyper scale cloud vendors who had insane margins on compute because their customers were all I/O bound.
How can an LLM ever be more intelligent than its training data?
If training data is bootstrapped from humans intelligence how can it ever exceed the smartest humans?
If LLM reasoning is a parlor trick with hard limits (the Apple paper) how can LLM’s achieve super intelligence?
Do not be tempted to get @Tesla Insurance. They offer safe drivers competitive prices but if you’re in a collision and not at fault they will not conduct subrogation. You’ll be left to deal with the other party’s insurance on your own.
Lesson learned.
Furthermore Tesla…
708 Followers 2K FollowingVietnamese online store SIXMD. Goods from Vietnam to Worldwide
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6K Followers 1K Followingbuilding the post-IDE IDE at https://t.co/hDpglja33W - coined “context engineering”, prev @replicatedhq @SproutSocial - ai that works pod @ https://t.co/69BhaNtWfd
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28K Followers 173 FollowingA North Star for open AGI. Co-founders: @fchollet @mikeknoop. President: @gregkamradt. Help support the mission - make a donation today.
15K Followers 71 Following• Open Source alternative to Algolia + Pinecone
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