A year after the DeepSeek shock following R1's release, US tech companies still lead in AI chips, model quality, and sales, with no change in investment trends (Chris Miller/Barron's Online)
https://www.barrons.com/articles/deepseek-…
Weird feeling as while looking to answer to the question "how do I get the coordinates of the minimal value of a numpy.ndarray ?", found that I already asked that question ten years ago: https://laurentperrinet.github.io/sciblog/p…
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It’s possible that this is nothing at all, and they’ll be back in full force today. Nobody, and I mean nobody, has suggested that maybe the worst is over.
But we took the days of relative rest anyway. Hmm, “rest” is wrong: mutual aid, food distribution, school observers, people doing laundry for those who can’t go to a laundromat — that continues unabated. But there’s a definite feeling of catching our breath for a moment.
3/
Is building an LLM inherently problematic? Not necessarily, but there's no good way to do it under capitalism. Is using an local LLM funding these evil companies? No. It's not.
Spelling and grammar checking is one of the few uses of LLMs that is not based on fundamentally failing to understand what an LLM actually is. A statistical model is gonna be *really good* at flagging things that are probably typos (low probability areas). There will be false positives, which is fine if you're actually paying attention...
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Filing: Anthropic says it cannot manipulate Claude once the military has deployed it, denying DOD accusations that Anthropic could tamper with models during war (Paresh Dave/Wired)
https://www.wired.com/story/anthropic-denies-sabotage-ai-tools-war-claude/
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