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Toute cette histoire d'intelligence artificielle est en fait une Journée des Dupes (ou une Campagne des Cents Fleurs à la sauce capitaliste) : ces stupides chatbots ne remplaceront jamais les travailleurs intellectuels

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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?
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    #NoBillionaires #TaxTheRich #EatTheRich #GuillotinesWork #AreYouMadeOfCake #Environment #ClimateChange #GlobalWarming #classism #CasteSystem
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    Over 40 years, we were collectively told to give tax cuts to rich people.And we were told that if we did that, wealth would trickle down and everyone would be better off.Over 40 years, pretty much everything got cut to fund these tax cuts.Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.People literally went homeless or starved, so rich people could get tax cuts.Because the wealth would trickle down.Eventually the eroding of public goods caused social dislocation.So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.But they said the wealth would trickle down.Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.But they said the wealth would trickle down.Eventually people were getting pissed off at the dire state of the world.The rich misdirected that anger at immigrants!And First Nations!And trans people!And neurodivergent people!Anyone but the billionaires who got the tax cuts.So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)But they said the wealth would trickle down.So did the wealth trickle down?Well...A group of billionaires saw this kinda cool tech demo.It predicted the next pixel of an image, based on the colour patterns of every image on the internet.It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.The rich decided that this clearly showed that a sentient computer was just around the corner.The problem was these tech demos needed servers with a lot of GPUs to work.So the rich took all the money they got from those tax cuts.And they bought GPUs.Millions and millions and millions and millions of GPUs.All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.In the end, it didn't trickle down.And instead of all the public goods it could have bought......We'll be left with millions and millions and millions of GPUs in a landfill.#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia
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    AI CINESE. POCHI SOLDI, TANTA RESA#Deepseek AI, il corso cinese dell' #intelligenzaartificiale, è addestrato con una frazione dei costi sostenuti dai giganti occidentali. In uno studio pubblicato su #Nature, il team di ricerca ha rivelato che ha incentivato le capacità di ragionamento degli #LLM con l'apprendimento per rinforzo (RL) puro, ovvero un sistema di punteggio: alto per le risposte corrette e basso per le sbagliate.https://www.nature.com/articles/s41586-025-09422-z.pdf@aitech