Sobre la postura de Anthropic incluso Sam Altman, con sus diferencias, ha mostrado su apoyohttps://t.co/0i2SV9ADPz
— Carlos Santana (@DotCSV) 27 février 2026
Sobre la postura de Anthropic incluso Sam Altman, con sus diferencias, ha mostrado su apoyo

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Sobre la postura de Anthropic incluso Sam Altman, con sus diferencias, ha mostrado su apoyohttps://t.co/0i2SV9ADPz
— Carlos Santana (@DotCSV) 27 février 2026
Sobre la postura de Anthropic incluso Sam Altman, con sus diferencias, ha mostrado su apoyo

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Much talk about increasing privacy by creating a layer of anonymity routing between user & AI model provider. But what I truly don't get is this: commodity LLMs are already exceptionally good at identifying patterns & de-anonymizing. Why should we think they aren't capable of quickly relinking us? I'd wager that 1-shot re-identification by a model is easily possible across single prompts from multiple accounts, even if they are 'anonymously' routed to the API. Almost certainly especially true when users are working on the same bit of code, project, or from the same environment. Upshot: sort of like using Tor browser thinking you're anonymous from websites, but keeping cookies across sessions. The amount of muckery you'd have to do to context to be truly hardened against relinking by large models seems truly substantial to the point of massive inefficency. John Scott-Railton (@jsrailton) A lot of privacy has turned out to be just friction… …thats quickly being automated away. E.g. random anons could rest easy knowing manually de-anonymizing them wasn't worth the cost to anybody. Not true anymore. Now it's fast & scalable, especially for governments. — https://nitter.net/jsrailton/status/2027196811736485982#m
→ View original post on X — @mer__edith, 2026-02-27 21:39 UTC

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Thank you, @lawrennd, for spending the evening with us at Pi Campus. Discussing with you what makes us really human with you has been amazing. Conversations like this remind us that #AI is fascinating, but #humans are still deeper and harder to model. #pinetworking

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What's funniest is that now some people see AI everywhere. As soon as they don't understand something, whether it's too good or too bad, it's immediately AI. And that is surely the worst. Not using AI. But shouting "AI" at everything

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Translation: The pentagon wants mass surveillance of US citizens (that means you!) and is so caught in the hype they think it is a-ok to put hallucination machines in autonomous weapons without human oversight. Truly scary times.
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perso que les gens se batte t pour leur oeuvres, c'est ok, mais deja juste les morceaux samplés ils disent rien depuis des années, je vois pas pourquoi l'IA alors qu'elle ne ressort pas de morceau complet exactement serait taxé d'office.
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We are in a very special moment where machine intelligence is overtaking human intelligence, but human agency is still overwhelmingly in the driver's seat. Enjoy it. It won't last.
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Several people have asked me for a link, so here it is:
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Teaching Critical Thinking in the Age of AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu
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this takes a lot of bravery 🫡 Anthropic (@AnthropicAI) A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War. anthropic.com/news/statement… — https://nitter.net/AnthropicAI/status/2027150818575528261#m
→ View original post on X — @soumithchintala, 2026-02-27 12:56 UTC