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    parismarx@mastodon.online
    The crypto industry set the playbook. Now the AI industry is spending big on the US midterms to buy support.On #TechWontSaveUs, I spoke with @molly0xfff to discuss the money flooding into US elections to ensure favorable regulation for AI and data centers.Listen to the full episode: https://techwontsave.us/episode/336_the_ai_industry_is_spending_big_on_the_us_midterms_w_molly_white#tech #ai #politics #midterms #elections #generativeai #openai
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    dragone2@mastodon.uno
    Vuoi generare immagini sfruttando la tua GPU su Linux, senza dipendere da servizi cloud costosi?Scopri questa nuova guida pratica per installare e usare ComfyUI, con configurazione iniziale di un workflow e tutto il necessario per iniziare a sperimentare nella maniera piĂą semplice e veloce.đź”— https://www.risposteinformatiche.it/installare-comfyui-linux-generazione-immagini-ai/@linux @opensource #ComfyUI #AI #Linux #SelfHosted #GenerativeAI #OpenSource #Homelab #Immagini #UnoLinux #UnoOpen
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    coriopsicologia@mastodon.social
    @parismarx I will read it!
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    appassionato@mastodon.social
    @jeffowski 2/It is the perfect visual manifesto for the biggest critique of the current tech paradigm:We wanted automation to do our laundry and dishes so we could focus on art and writing; instead, we got AI doing the art and writing while humans are stuck doing the dishes and the laundry. #cartoons #AI #robots
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    [[global:guest]]?
    🤖 Visa Autonomously Shops with ChatGPT, Pushing AI Agent AutonomyMajor financial institutions are rapidly integrating AI agents with autonomous transaction capabilities, with Visa wiring ChatGPT for self initiated shopping and payments. This pivotal development means an AI agent can now buy at any Visa merchant...https://www.synestesia.uk/legacy/visa-autonomously-shops-with-chatgpt-pushing-ai-agent-autonomy-08ksucekoz#GenerativeAI #DeepLearning #PredictiveModels #AI #AIPulse
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    remixtures@tldr.nettime.org
    "If we assume that its spend is comparable on AWS and Google Cloud — and it’s most-assuredly more! — that means Anthropic is spending around $3.75 billion in compute costs, or $11.25 billion a quarter, or $45 billion a year. There’s also a very compelling argument that Anthropic’s costs will increase and will eat up that profitability, to once again quote the Wall Street Journal:The company might not remain profitable for the full year as it plans spending increases due to its vast computing needs. I also have to wonder: if you’re so profitable, why not IPO? Why not take this to the public markets? Unless, of course, you’re only non-GAAP EBITDA profitable based on a two-month-long discount specifically covering the period in which you’re profitable. And, of course, when you’re not a publicly-traded company, and so you don’t actually have to publish any numbers (and no, leaking them doesn’t count), and you’re not subject to SEC oversight. I will give Dario Amodei credit: nobody does financial engineering and a press-led information war better than Anthropic. The willingness of the press to eat up incongruent numbers and the eagerness of many to jump up and find obtuse ways to explain away the obvious problems is only made possible when a company has perfected the art of manipulation and ingratiation of those who want to feel like they’re “first.”If you take this as incontrovertible proof that Anthropic is profitable, you are deliberately ignoring the blatantly obvious ways these numbers are being massaged. We’ve got its CFO saying numbers that don’t match up with these leaks or Anthropic’s own marketing materials, and the aggressive and deluded way in which many people ignore them is equal parts frustrating and depressing."https://www.wheresyoured.at/anthropics-profitability-swindle/#AI #GenerativeAI #AIBubble #Anthropic #AIHype
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    gubi@sociale.network
    @alessiopomaro molto interessante, ma credo che analisi di questo tipo siano destinate a rimanere cose per addetti ai lavori con una barriera linguistica alla comprensione che genera pericolosi effetti collaterali di fraintendimento nel grande pubblico, almeno fino a quando per descrivere un software che genera testo plausibile per prove ed errori con sofisticati calcoli vettoriali si useranno termini come pensiero, logica, ragionamento, apprendimento e sovrappensiero.
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    g3rt@mastodon.uno
    @alessiopomaro la realtà operativa degli agenti AI è parecchio diversa: https://mastodon.uno/@G3rt/116188167767203013