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  • Media Critics Called Mainstream While Defending David Sacks

    I love it when these dorks call us the mainstream media Alex Witkoff (@Alex_Witkoff) This is exactly why people are abandoning mainstream media: cheap insults instead of actual reporting You don’t have to agree with @DavidSacks on everything, but pretending he “sucks” while ignoring his actual track record is unserious. A few reminders: -Co-founded PayPal, one of the most consequential fintech platforms in history. -Built Yammer, sold to Microsoft for $1.2B -Backed Airbnb, SpaceX, Facebook, Uber, OpenAI, and Palantir in their early days -Hosts All-In, one of the most influential political podcasts -Major philanthropist and consistent supporter of free speech and open debate If the media wants to rebuild trust, maybe start by covering people honestly instead of writing headlines like YouTubers chasing clicks — https://nitter.net/Alex_Witkoff/status/1996190166327693478#m

    → View original post on X — @reckless, 2025-12-04 03:36 UTC

  • Optimus robots progress outpaces parliamentary inefficiency

    Regardez les progrès des robots Optimus de @elonmusk en 2ans Pendant ce temps le parlement se chamaille comme une classe de maternelle

    → Voir le post original sur X — @dr_l_alexandre

  • China’s AI Strategy vs Western Tech Distraction

    China’s mission is defined. It sees technology as the vehicle for reclaiming power. The West, by contrast, has been distracted. Our brightest minds have too often been funneled into building trivial apps. Delivery services. Digital gimmicks. Social feeds. Meanwhile, AI has the

    → View original post on X — @ninadschick

  • France unprepared for AI and robotics tsunami by 2027

    Pendant la présidentielle de 2027, on va réaliser que la France n’est pas préparée au tsunami de l’IA et des robots humanoïdes 1 L’industrie chinoise nous ridiculise 2 Le système éducatif envoie nos gamins au casse-pipe 3 La classe politique vit en 1995 4 L’IA change tout

    → Voir le post original sur X — @dr_l_alexandre

  • Do Tech Leaders Know and Accept AI Impact Consequences?

    Have you considered that they know exactly what they are doing and the impact you foresee is known to them?

    → View original post on X — @alexjc

  • Midjourney pricing policy: commercial use and stealth mode options

    most mj users are non commercial, commerical users have always been able to buy a pro account, we polled community early on with two options , either we charge extra for commercial use or we charge more for stealth mode, the userbase chose the second option and we've respected

    → View original post on X — @midjourney

  • MCP Security Paper: Risks and Controls for Enterprise Adoption

    We just released a paper on Model Context Protocol security – joint work with Herman Errico (
    @TrustVanta ) and Shanita Sojan (
    @Darktrace ). As MCPs get adopted, companies need to understand the risks + controls needed in order to be secure and stay compliant. In this paper, we

    → View original post on X — @jiquanngiam

  • Google’s Legacy and Generative AI’s New Challenges Today

    In 1998, Sergey Brin and Larry Page, were still students at Stanford when they intro'd Google search prototype in their now-famous paper. Now, decades later, generative AI is creating new challenges and reminding everyone of old ones.

    → View original post on X — @martyswant

  • Six Pillars of Sovereign AI Determining National Leadership
    Six Pillars of Sovereign AI Determining National Leadership

    🔥🤖Why Does Sovereign #AI Determine Which Nations Lead the Future❓ 🎯AI is no longer “technology”, it is national infrastructure and a strategic power layer. Here is what the 6️⃣ Pillars of Sovereign AI truly mean⤵️ 1️⃣ Data Sovereignty ➜ Who shapes your model’s worldview ▪️Models trained on foreign data inherit foreign values and cultural logic 2️⃣ Model Architecture Sovereignty ➜ Whose reasoning patterns does your AI follow ▪️ Base models embed the creator’s logic, safety defaults & cognitive biases 3️⃣ Compute Sovereignty ➜ Who controls your ability to train ▪️ Without sovereign compute, nations cannot independently build or scale their models 4️⃣ Inference Sovereignty ➜ Where does your national data actually run ▪️ If sensitive workloads run on foreign clouds, they fall under foreign jurisdiction 5️⃣ Data Center Sovereignty ➜ Where does your AI physically live ▪️ Foreign-owned infrastructure means foreign leverage over critical systems, energy security 6️⃣ AI Economy Sovereignty ➜ Who captures the value ▪️ A nation can build strong models yet lose the economic upside if the value flows abroad 💡The truth is simple ➜ Countries aren’t racing toward Sovereign AI because it’s fashionable; they’re racing because it determines who shapes the future By Alex Issakova @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pierrepinna @pchamard @Analytics_699 @mikeflache @JeromeMONANGE @FrRonconi @Fabriziobustama @PawlowskiMario @theomitsa @drsharwood @kalydeoo @TAEVisionCEO @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @fernandolofrano @gvalan @bimedotcom @NewsNeus @domingonarvaez1 @thomas_dettling @kanezadiane @dinisguarda @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @jblefevre60 @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @anand_narang @bamitav @Nitin_Author

    → View original post on X — @marcusborba, 2025-12-02 14:07 UTC

  • French Bureaucracy Expansion Consumes 57% National Wealth

    Le nombre de fonctionnaires a encore augmenté cette année. Toujours plus de dépenses, toujours moins d’économies… Le monstre technocratique français est en roue libre. Nous avons créé une machine qui consomme 57% de la richesse nationale pour produire de la norme, du papier et

    → Voir le post original sur X — @rafiksmati