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  • AI Adoption Becomes Essential for Content Creators Competitiveness

    By

    @scobleizer

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    I am quite convinced now that content creators who refuse to use AI will soon be replaced. They will be inferior to those who do. Look at the super power my AI gives me. https://
    alignednews.com/ai reads tens of thousands of posts and analyzes them far far far faster than I ever

    → View original post on X — @scobleizer

  • Biologically Scalable AI Swarms: The Future of Real-World Applications

    By

    @ronald_vanloon

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    The strategic implication is bigger than the hardware. This points to a new category of real-world AI: → biologically scalable → energy efficient → hard to detect → deployable at density That opens serious use cases across search and rescue, infrastructure monitoring, and defense. Watch the full video to see where this is headed, and what SWARM Biotactics is building. Don't miss out on the latest AI advancements! Sign up here to stay informed! intelligentworld.org/discove…

    → View original post on X — @ronald_vanloon, 2026-04-06 08:30 UTC

  • Living Swarms: The Next Disruptive Robotics Platform

    By

    @ronald_vanloon

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    The most disruptive robotics platform of the next decade might not be a robot at all. It might be a living swarm. I just explored how insect intelligence, edge AI, and secure communications are converging into something that feels straight out of science fiction, but has very real strategic implications. A thread with the breakdown, featuring SWARM Biotactics.

    → View original post on X — @ronald_vanloon, 2026-04-06 08:30 UTC

  • 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 Agent Coordination Outperforms Model Choice
    AI Agent Coordination Outperforms Model Choice

    By

    @godofprompt

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    BREAKING: MIPT just ran the largest AI agent coordination experiment ever 25,000 tasks, 8 models, 4 to 256 agents and found that how agents coordinate matters 3x more than which model you use. Protocol choice explains 44% of quality variation. Model choice explains 14%. And

    → View original post on X — @godofprompt

  • AI Tools Automate Spreadsheet Tasks for Employee Downtime

    By

    @jessyseonoob

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    c'est pour qu'ils se divertissent entre les tâches qu'ils auraient dû faire à la mano sur leur fichier excel

    → Voir le post original sur X — @jessyseonoob

  • Open-source AI job-hunting agent for Claude Code released

    By

    @datachaz

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    🚨 this guy built an insane AI job-hunting agent for Claude Code. He used it to rip through 700+ applications and it literally got him hired. AND HE JUST OPEN-SOURCED IT. It scrapes career sites, completely tailors your CV for each role, and fills out the forms. The repo includes: → 14 skill modes (evaluate, scan, PDF, …) → 45+ companies pre-loaded (Anthropic, OpenAI, ElevenLabs, Stripe…) → Go terminal dashboard → ATS-optimized PDF generation via Playwright 100% Free and open-source. Repo link in 🧵↓

    → View original post on X — @datachaz, 2026-04-06 06:32 UTC

  • PentAGI: Autonomous AI System for Open-Source Security Testing

    By

    @scobleizer

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    🚨 BREAKING: Someone just open-sourced a fully autonomous AI RED TEAM. It's called PentAGI. An autonomous AI system that coordinates hacking attacks with zero human input. One agent does recon, another exploits, and another writes the final report based on what they find. 100% Open Source. [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-06 05:32 UTC

  • Agent Swarms: The Future of Collaborative AI Development

    By

    @abacusai

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    The future is not a single agent doing a thing….. It’s an agent swarm working together like a TEAM OF EXPERTS – vibe coding agents to build systems – a testing and a monitoring agent to test in production – an SRE that ensures that the system is reliable – a debugging agent to fix bugs on a ongoing basis A master agent that controls the entire system Super excited for these Agent Swarms 🚀

    → View original post on X — @abacusai, 2026-04-06 05:29 UTC

  • Generative AI on Google Cloud with LangChain and Vertex AI
    Generative AI on Google Cloud with LangChain and Vertex AI

    By

    @kirkdborne

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    Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🔴Turn challenges into opportunities by learning advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools 🔵Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud 🟡Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics 🔴Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI 🔵Purchase of the print or Kindle book includes a free PDF eBook

    → View original post on X — @kirkdborne, 2026-04-06 05:27 UTC