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From Bruce Schneier: "All it takes to poison AI training data is to create a website:

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  • Lo dico da tempo.

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    RE: https://mastodon.uno/@quinta/115968490458982390Lo dico da tempo.Bravo Quinta: pensaci tu che a me ascolterebbero in pochi 😅#llm
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    "Usa l'IA per imparare, capire, verificare, documentare. Non usarla per sostituire il tuo pensiero critico e la tua capacità di risolvere problemi." 🤖Mi piace molto questa "regola d'oro" di @marcobollero per l'uso della #AI in ambito #programmazione. 👨🏻‍💻Credo che gli #LLM siano uno strumento formidabile per imparare più velocemente e fare brainstorming, ma non bisogna mai perdere lo spirito critico. Nella programmazione, e anche in tutto il resto! 💡
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    @zstg https://pouet.chapril.org/@ArnaudOffline/115707488183626801
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    The #ocaml debacle with the ginormous slop #AI / #LLM "contributions" continues! It's round two, already! Oh no. With the same outcome, predictably. This time in the #julia community.https://discourse.julialang.org/t/ai-generated-enhancements-and-examples-for-staticcompiler-jl/134054/18The patience of the Julia people is absolutely immense here! I've huge respect for them after reading this (and the Ocaml people, only days ago).The fundamental issue seems to be that the guy attempting this novel approach to software development thinks the AI "understands" what it's doing. So even if showstopping nonsense in the AI-produced code is pointed out to him, he comes back with - oh well, yeah, the AI gets "lazy", or some other sort of narrative that rationalises the slop, and presumes the "AI" is, by definition, really understanding what's going on, and smart, and capable, and all that.Will there be no end to this nonsense? Each week the patience of a new set of #FOSS maintainers will be tested? It's Groundhog Day, but with all the quirkiness and charm removed?