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  • India AI Impact Summit 2026 concludes as largest global AI convening
    India AI Impact Summit 2026 concludes as largest global AI convening

    The #IndiaAIImpactSummit2026 concluded as the largest global convening on Artificial Intelligence in history. Held at Bharat Mandapam, New Delhi, the Summit brought together 22 Heads of State, delegates from 118 countries, and over 6 lakh visitors across six days of sessions, dialogues, and landmark commitments. From vision to impact – India led the way. 🔗 impact.indiaai.gov.in #IndiaAI #ImpactSummit #BharatMandapam #IndiaAIMission @narendramodi @PMOIndia @AshwiniVaishnaw @JitinPrasada @GoI_MeitY @SecretaryMEITY @kavitabha @_DigitalIndia @mygovindia

    → View original post on X — @officialindiaai, 2026-04-06 07:10 UTC

  • AI Strategy Quietly Making Best People Worse At Their Jobs

    #AI Strategy Is Quietly Making The Best People Worse At Their #Jobs bit.ly/4bX8nGD #business #management #governance #organization #tech #CIO #CTO #CDO #CEO #digital #innovation #disruption #digitaltransformation #automation #AgenticAI #skills #talent #talentmanagement #futureofwork @Forbes @BetaMoroney @ChuckDBrooks @MikeFlache @Khulood_Almani @IngridVasiliu @JonBelsher @Timothy_Hughes @NafisAlam @YuHelenYu @RLDI_Lamy @MCLynd @OlKonol_oa @RigneySec @BenRothke @HWillert @AndrewinContact @TerenceLeungSF @Shi4Tech @enilev @Nicochan33 @SabineVdL @bimedotcom @IanLJones98 @FrRonconi @RiccardoBua @Eli_Krumova @NYIke @HaroldSinnott @SallyEaves @GlobalIQX @AntGrasso @AkwyZ @DinisGuarda @PVynckier @YvesMulkers @HaleChris @BillMew @RobMay70 @NigelTozer @m49D4ch3lly @Ronald_vanLoon @jeancayeux @NevilleGaunt @asokan_telecom @cybersecboardrm @RVP @QuePasaChico

    → View original post on X — @nicochan33

  • AI Entrepreneurs’ Bank Accounts Right Now

    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

  • Data Exploration and Preparation with BigQuery Practical Guide
    Data Exploration and Preparation with BigQuery Practical Guide

    Data Exploration and Preparation with BigQuery  — Practical guide to cleaning, transforming, and analyzing data for business insights: amzn.to/4b0Ucz7 v/ @PacktDataML — 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🔵Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis & modeling 🟠Use mock datasets to explore data with the BigQuery web UI, bq CLI, & BigQuery API in the Cloud console 🔵Master optimization techniques for storage & query performance in BigQuery 🟠Engage with case studies on data exploration and preparation for advertising, transportation, & customer support data 🔵Purchase of the print or Kindle book includes a free PDF eBook

    → View original post on X — @kirkdborne, 2026-04-06 05:28 UTC

  • Data Engineering with Google Cloud Platform Guide Second Edition
    Data Engineering with Google Cloud Platform Guide Second Edition

    Data Engineering with Google Cloud Platform GCP — A Guide to leveling up as a Data Engineer by building a scalable data platform with Google Cloud: amzn.to/4ecMUtM [2nd Edition] v/ @PacktDataML ———— #Analytics #CDO #CTO #AI #ML #MLOps #DataScience

    → View original post on X — @kirkdborne, 2026-04-06 05:28 UTC

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

    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

  • AI-Native Concept Goes Beyond Marketing Trends
    AI-Native Concept Goes Beyond Marketing Trends

    How '#AI-Native' Is More Than Just A Buzzword
    by @claudemandy @Forbes Learn more: https://
    bit.ly/4sbkTZd #ArtificialIntelligence #MachineLearning #ML

    → View original post on X — @ronald_vanloon

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

    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

    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

  • Crypto Billionaire Invests $1 Billion in Brain-Based AI Technology

    The Crypto Billionaire Betting $1 Billion To Build AI Based On The Human brain 🧠 piped.video/Mp_K9V5tkVQ?si=g1Im… via @YouTube #artificialintelligence #AI #brain #tech #humanbrain @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 @Nicochan33 @chboursin @3itcom @Fabriziobustama @sallyeaves @helene_wpli @ahier @rwang0 @EvanKirstel @RLDI_Lamy @Analytics_699 @Khulood_Almani @tewoz @chidambara09 @IsabellePiel29 @ClementIsa @SvetBnov @mallys @jeancayeux @aure79lien @EricTIXADOR @thierry_pires @DanielleLargier @CurieuxExplorer @DigitalColmer @nincoroby @Guillaume_Rio @CecileGauffriau @MadiSeydi @DataScienceDojo @KirkDBorne @dhinchcliffe @jeffkagan

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