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Not an expert but #7 is -almost- elementary.


What went wrong with Intel?


For a few decades, they paid their shareholders instead of paying competitive salaries to their employees. All the best people went to Apple/Microsoft/Nvidia/Amazon/Meta/Alphabet/Qualcomm/TSMC (adjusted for their CoL and options in Taiwan).

Intel was in the business of selling the most cutting edge, technologically advanced products in the world, but they didn’t want to pay enough for the best people.


Not noise but an actual byte-by-byte encoding/serialization of the GPT-2 small model weights.


Try subscribing to any of them but from a new address, without signing up for Substack.

Then, to replicate the evidence for the shadow profile, try unsubscribe from any of them from a signed-out session. The unsubscribe page may show a shadow profile with the new address then.


Very good yes. Such is my experience, not only with Latin. Received language instruction may have it exactly backwards.


I disagree. I found the review useful.


"How will writers (or anyone else who creates anything that can be digitized, from movies to music to apps to journalism) make a living in an era in which digital content can be freely replicated?"



> music

Musicians who made a living selling records were always unicorns. Even the Beatles wandered in the desert for years before they were discovered.

> writers

More unicorns. etc.


Tour de force, truly. Amazing work!


This is a fundamental observation:

"Prompt injection occurs because an LLM cannot distinguish between the “system prompt” created by a developer and the rest of the context that is appended to the query."


Important caveat — from the abstract: "For both weather and climate, our approach offers orders of magnitude computational savings over conventional GCMs, although our model does not extrapolate to substantially different future climates."


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