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  • AI’s True Goal: Power Concentration Over Human Progress

    By

    @pascal_bornet

    –

    What if the real goal of AI isn’t what we’ve been told? Co-founder of the Center for Humane Technology, Tristan Harris, argues that the ultimate goal of many AI technocrats is not just to help humanity… but to advance their own pursuit of money and power. That framing changes how you interpret everything else. To the public, AI is presented as progress: More creativity. More freedom. Better work. But internally, the incentive structure is different. AI offers productivity without the ongoing cost of human labor. What stands out to me is how this shifts the equation. If systems can replace large parts of human work, value doesn’t disappear — it concentrates. Fewer workers. More centralized control. Greater accumulation at the top. The first time you connect these dynamics, the trajectory becomes clearer. This isn’t just a technological shift. It’s an economic one. And this is where things start to matter. Because the real question is no longer what AI can do. It’s who benefits from what it does. So here’s something I’d be curious to hear from you: As AI continues to scale, how should we think about power, ownership, and value distribution? #ArtificialIntelligence #AI #FutureOfWork #Economics #Innovation

    → View original post on X — @pascal_bornet, 2026-04-06 05:01 UTC

  • Quantitative Portfolio Management: Statistical Arbitrage Guide
    Quantitative Portfolio Management: Statistical Arbitrage Guide

    By

    @kirkdborne

    –

    Powerful book! “Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage” Available at http://
    amzn.to/3PCZiv7

    → View original post on X — @kirkdborne

  • AI Distillation Replaces Employment Personal AI Assistant
    AI Distillation Replaces Employment Personal AI Assistant

    By

    @scobleizer

    –

    I have already been distilled. I will never have a job again but my AI is fun to use because it knows how I think.

    → View original post on X — @scobleizer

  • Ken Griffin echoes AI hype concerns, questions actual productivity gains

    By

    @garymarcus

    –

    When Citadel CEO Ken Griffin sounds almost exactly like @garymarcus, Silicon Valley has a serious problem. That moment has come. Big Brain AI (@realBigBrainAI) Citadel CEO Ken Griffin on why the AI boom might be the most overhyped tech cycle we have ever seen: This year alone, data center spending in the United States is projected to exceed $500 billion. And Griffin wants to know what all of that money is actually buying. "You're not going to generate this kind of spend unless you're going to make a promise. You're going to profoundly change the world." In his view, the scale of the capital commitment demands the scale of the promise. And when the promise has to be that big, hype becomes inevitable. "Is it hype? Of course." Griffin isn't arguing that AI is worthless. He sees real impact in certain areas like call centers and software engineering. But for the broader white collar workforce, he's far less convinced. He points to a recent Harvard paper that coined the term "AI work slop." It looks impressive on the surface, but falls apart the moment you look closer. He saw it firsthand inside Citadel. A colleague running their commodities business handed him a report generated by an AI engine. "The first few sentences like, 'Wow, that's really insightful.' And then you go down below that and it's all garbage." For Griffin, this is the defining tension of the current AI cycle. The industry needs to promise transformation to justify the investment. But the actual productivity gains, for most jobs, haven't shown up yet. We have seen this pattern before. Transformative technology attracting massive capital well ahead of proven results. When the hype finally settles, will AI have actually changed anything at all? — https://nitter.net/realBigBrainAI/status/2040814298965176520#m

    → View original post on X — @garymarcus, 2026-04-06 01:55 UTC

  • Why AI Infrastructure Investment Is Different This Time

    By

    @swyx

    –

    Listened to the @latentspacepod podcast with @pmarca. Why this time is different? Famous last words but hard to really argue with any of this. Just nitpicking. – Unlike fiber build-out, companies doing the investing are blue chips with massive cash flows, not startups like Global Crossing in the tech bubble. – Unlike fiber build-out, every dollar spent on GPU is immediately being turned into revenue. Everyone is starved for capacity and everything is sold out next few years. – Models are inferior to what they should be because of capacity constraints. Models will improve as capacity eases. – There are millions of use cases immediately (this is the big nitpick in my view. I suspect this won't prove out after 3+ years once tech enthusiast use cases mature). – Jevon's paradox. As chip capacity increases, there will be even more demand as everyone can access AI. – Old Hopper Nvidia chips are renting for a higher price than 3 years ago. It is the anti @michaeljburry Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different", by @swyx latent.space/p/pmarca?r=6xq6…

    → View original post on X — @swyx, 2026-04-06 01:46 UTC

  • OpenAI Valuation Betting on Polymarket Instead of Direct Investment

    By

    @andreasklinger

    –

    No sorry you can’t invest in OpenAI, you’re not an accredited investor. But you can bet all your money on what the OPENAI valuation will be on @Polymarket. It’s safer this way for you.

    → View original post on X — @andreasklinger

  • AI’s Impact on Work Week and Mental Health

    By

    @ceobillionaire

    –

    when AI ends the 5 day work week, a lot of people are gonna find their anxiety and depression are gone

    → View original post on X — @ceobillionaire, 2026-04-06 00:10 UTC

  • Gary Marcus Criticizes LLMs and Predicts Economic Crash

    By

    @garymarcus

    –

    Are you following @GaryMarcus on these issues? He believes LLMs won't lead to true artificial intelligence, and I'm wholly convinced by his arguments. Your what-if questions point to a calamitous truth. This is the worst misappropriation of capital in history. Crash incoming. [Translated from EN to English]

    → View original post on X — @garymarcus, 2026-04-05 22:14 UTC

  • Amodei releases 38-page report on AI impact
    Amodei releases 38-page report on AI impact

    By

    @ceobillionaire

    –

    DARIO AMODEI JUST DROPPED A 38 PAGE WARNING ON WHAT AI WILL REPLACE AND WHAT IT WON'T. And buried inside it is the part that matters most: how to turn AI from a threat into your biggest advantage. [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-05 21:15 UTC

  • Edge Computing and Local LLMs: The Future of AI Privacy

    By

    @clementdelangue

    –

    Been playing with Gemma running locally on my Pixel phone and it feels magical. To think that years ago we could not remotely imagine such a powerful LLM running in your pocket with no connectivity whatsoever. I wonder how many scenarios for LLMs will start shifting the cost to the edge to get "free" computing with added privacy and control over your data. I can't imagine how companies that only monetize inferencing and nothing else will stay above the water. Either they make/sell hardware or they must add value on top of it, otherwise they become mostly an inconvenience in the middle.

    → View original post on X — @clementdelangue, 2026-04-05 18:31 UTC