AI has been eating up the world's supply of memory and companies like Micron have even abandoned their consumer brands to focus entirely on B2B supply. Other components like GPUs have also been feeling the pressure.
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But those tricks, I believe, are quite clear to everybody that has worked extensively with automatic programming in the latest months. To think in terms of “what a human would need” is often the best bet, plus a few LLMs specific things, like the forgetting issue after context compaction, the continuous ability to verify it is on the right track, and so forth.