AI Dynamics

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  • Building AI News Aggregator Costs $300 Daily

    By

    @scobleizer

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    It is true. It costs me $300 a day to build https://
    alignednews.com/ai It reads tens of thousands of posts a day.

    → View original post on X — @scobleizer

  • Exponential Growth: The Penny Doubling Problem for Startups

    By

    @scobleizer

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    My favorite question is: "Would you like $100,000 today, or a penny that doubles every day for a month?" If you're starting an exponentially growing company, you definitely don't want to take the cash. Because when the exponents start flipping, the pile gets a lot bigger.

    → View original post on X — @scobleizer

  • AI Productivity Investments Building Foundations, Not Yet Results

    By

    @nicochan33

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    ⚡ AI productivity is not showing up in performance. It is accumulating in foundations. As EY highlights, firms are investing heavily in data, infrastructure, energy, and talent, while measurable productivity gains remain limited. Even optimistic projections show modest GDP impact. 1️⃣ Structural Shift: Productivity is moving from output per hour to outcome quality. AI makes time abundant, shifting the constraint to judgment, accuracy, and oversight. 2️⃣ Authority Redesign: As AI generates outputs, human roles shift from execution to validation. Decision authority becomes the bottleneck, not production capacity. 3️⃣ Delayed Payoff: Organizations are building the prerequisites for productivity, not the results themselves. Without aligning workflows and incentives, gains remain latent. This is why AI looks like a productivity revolution in investment, but not yet in outcomes. The real challenge is not accelerating AI adoption. It is redesigning how organizations measure and control value creation. via EY ey.com/en_gl/megatrends/how-… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @9SManagement @O_Berard @DavidTaboada @yd_engoue @giuliog @Hajer_Alqassimi @EdwardHarkins @Evanskipropcrim @ranya_artistry @Howie7951 @iamtunslaw @gvalan

    → View original post on X — @nicochan33, 2026-04-06 08:00 UTC

  • AI Entrepreneurs’ Bank Accounts Right Now

    By

    @datachaz

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    AI bros’ bank accounts rn darkzodchi (@zodchiii) x.com/i/article/203851378354… — https://nitter.net/zodchiii/status/2038561593126990121#m

    → View original post on X — @datachaz, 2026-04-06 06:58 UTC

  • AGI Is Here, But Distribution Remains Unequal Globally

    By

    @bobgourley

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    AGI Is Here, It Is Just Not Evenly Distributed clawstreetjournal.github.io/…

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

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

    By

    @kirkdborne

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

    → View original post on X — @kirkdborne

  • AGI Claims: Financial Incentives and Reality Check
    AGI Claims: Financial Incentives and Reality Check

    By

    @garymarcus

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    the only people who claim AGI is here are people who stand to make money if other people believe that mess. see agidefinition.ai/ for the views of Bengio and myself. Jade Cole (@JadeCole2112) Cool when do the AI labs fire all their staff and wind down now that they are no longer needed? — https://nitter.net/JadeCole2112/status/2040937937878090063#m

    → View original post on X — @garymarcus, 2026-04-06 03:15 UTC

  • OpenAI CFO’s Concerns About Altman’s IPO Plans and Spending
    OpenAI CFO’s Concerns About Altman’s IPO Plans and Spending

    By

    @garymarcus

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    when OpenAI’s CFO starts whispering that she doesn’t buy the CEO’s plan, the shit may be about to hit the fan. Anissa Gardizy (@anissagardizy8) NEW: There’s a growing tension between San Altman and his CFO, Sarah Friar. Privately, Friar has started speaking about her concerns about the firm’s massive spending on compute and Altman’s hopes to IPO this year. More details from me and @amir in @theinformation — https://nitter.net/anissagardizy8/status/2040894109817393240#m

    → View original post on X — @garymarcus, 2026-04-06 02:12 UTC

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

    By

    @garymarcus

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    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

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    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