Awesome, keep ewaste here and mine it with robots! Love.
COMPUTING
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Book on 50 Days of Data Analysis with Python for Beginners
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Can confirm from Texas: the ‘blue collar’ talent bottleneck to serve all the AI infrastructure, hardware and ‘build’ is massive. https://t.co/cmAkWaY273
— Nina Schick (@NinaDSchick) 5 mai 2026Can confirm from Texas: the ‘blue collar’ talent bottleneck to serve all the AI infrastructure, hardware and ‘build’ is massive.
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New instant model in ChatGPT is highly praised
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the new instant model in chatgpt is so good damn if you have been thinking-model-only for awhile, give it a try!
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Cerebras Inference Ecosystem Update: Open Models, Cloud, and Integrations
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Cerebras inference ecosystem, updated: open-weight model families, cloud providers, integrations. https://
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OpenAI Plans to Spend $50 Billion on Compute This Year
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Huge number reveal from OpenAI's Greg Brockman in court this am: OpenAI expects to spend $50 billion on compute this year. This gives a sense for how expensive it is *just to provide the computing power* for one of the world's most powerful AI companies.
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Using Local AI Models with Cloud Integration for Development
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but do we really need steam ships to go to america? a rowing champion and kayaking expert says that sail boats are overkill
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WordPress Categories for AI and Related Technologies
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The crux of the Musk-OpenAI trial so far is that Brockman keeps acting as if selling chatbots and API access for profit (which is what they do now) is exactly the same as the original mission (which was explicitly working on the AI safety for public benefit). They are obviously
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Seeking advanced 5.5 AI builds with large token budgets
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i would like to talk to people who have built amazing things with 5.5 that weren't possible with earlier models. i am especially interested in examples that took ludicrous token budgets. thanks.
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Major LLM Era Release and AI Advancement Discussed
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Some things never change. If you don’t understand this one, you don’t understand what’s happening AI. Marcus, 1998: neural nets have trouble generalizing far beyond the data. Marcus, 2001, 2012, 2019, 2022, etc: neural nets have trouble generalizing far beyond the data. Apple,
