AI Dynamics

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  • Book Independence and Relationship to LLM from Scratch Guide

    By

    @rasbt

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    Thanks for getting a copy! And that's a good question, there's practically not much overlap. So, this book can be read on its own, and it also works well as a follow-up to Build a Large Language Model (from Scratch). The latter focuses on LLM architecture and pre-training from

    → View original post on X — @rasbt

  • Enterprise AI Playbook: Key Lessons from 51 Successful Deployments
    Enterprise AI Playbook: Key Lessons from 51 Successful Deployments

    By

    @erikbryn

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    What do successful deployments of AI have in common? It was awesome working with Elisa Pereira and @AGraylin on this research. We studied 51 companies and summarized the results. Alvin has a nice summary below. Check out digitaleconomy.stanford.edu/… for the full report. Alvin Wang Graylin (@AGraylin) New Research💡: “The #Enterprise #AI Playbook — Lessons from 51 Successful Deployments” Excited to share new research from Stanford @DigEconLab, I co-authored with @erikbryn and Elisa Pereira . We spent 5 months interviewing executives across 41 organizations, 9 industries, and 7 countries — focusing exclusively on AI deployments that actually delivered measurable value. Not hype. Not predictions. What’s working right now, and why. A few findings that challenged even our assumptions: The hard part isn’t the AI. 77% of the toughest challenges were invisible costs — change management, data quality, process redesign. Technology was consistently described as the easiest part. Same use case, wildly different timelines. One company deployed AI customer support in weeks. Another took years. Same models. The difference was always the #organization — its #leadership, processes, and willingness to fail. #Agentic AI works — but most firms haven’t tried it yet. Only 20% of our cases were agentic, but they delivered 71% median gains vs. 40% for high-automation. This gap will widen fast. The model is increasingly a #commodity. For 42% of implementations, model choice was fully interchangeable. The durable advantage is in orchestration, data, and process — not the foundation model. With productivity increase, headcount #reduction is common (45%), but not the majority outcome. Redeployment, hiring avoidance, and acceleration strategies accounted for 55% of cases.🚨 The window for experimentation is closing. This is no longer a question of whether AI delivers value. It’s whether organizations can evolve fast enough to capture it — and whether leaders will take responsibility for smoothing the transition for workers and communities along the way. Full report (free): digitaleconomy.stanford.edu/… @StanfordHAI — https://nitter.net/AGraylin/status/2039729157676921185#m

    → View original post on X — @erikbryn, 2026-04-02 15:48 UTC

  • Genspark Offers Unlimited AI Chat and Image Access in 2026

    By

    @kimmonismus

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    5/ The wildest part? Genspark is offering unlimited usage of AI Chat and AI Image for all of 2026. Nano Banana 2, GPT Image, Flux, Seedream, Gemini 3.1 pro, GPT-5.4, Claude Opus 4.6 and more are available with unlimited access for paid users. In the web version click the blue

    → View original post on X — @kimmonismus

  • Testing Genspark Claw for Media Company Planning and Telegram Integration

    By

    @kimmonismus

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    4/ Here’s what I tried: I dropped in one prompt with everything I needed for a media company idea and let Genspark Claw work through it It mapped things out step by step and turned it into something I could actually follow I also tested it inside Telegram and it works directly

    → View original post on X — @kimmonismus

  • Salesforce Agentforce Transforms Government Service Delivery with AI

    By

    @yuhelenyu

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    How is @Salesforce’s Agentforce impacting government? AI in the public sector has moved from hesitation to execution. Agents are now live and reducing costs, improving service delivery, and handling millions of citizen interactions. #sponsored The bigger shift is from reactive systems to proactive, personalized government. This is a redefinition of how government serves citizens: piped.video/EKH6cmeJC3E #AI #GovAI #Agentforce #Missionforce #SalesforcePartner

    → View original post on X — @yuhelenyu, 2026-04-02 15:45 UTC

  • Using AI to generate and edit full presentations
    Using AI to generate and edit full presentations

    By

    @kimmonismus

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    3/ It turned everything into a full presentation… structure, visuals, and branding already there. I was able to open and edit it right away which I honestly didn’t expect, this makes my everyday stuff way easier to work through

    → View original post on X — @kimmonismus

  • Combining Multiple LLMs for Enhanced Workflow Utility
    Combining Multiple LLMs for Enhanced Workflow Utility

    By

    @kimmonismus

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    2/ What I really really liked is that it’s not just one model… It’s combining models like GPT, Claude, and Gemini in the background so you actually get finished output instead of just text, and i think that makes it actually useful

    → View original post on X — @kimmonismus

  • User experience with Genspark Claw AI agent workflow

    By

    @kimmonismus

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    1/ Tried Genspark Claw from @genspark_ai and it’s actually better than I expected I used it to figure out a project and instead of just giving answers, it followed a workflow and walked me through everything step by step while helping me put everything together into something I

    → View original post on X — @kimmonismus

  • AI Nodes Berlin: Perceptual Diversity and Intelligence Talk
    AI Nodes Berlin: Perceptual Diversity and Intelligence Talk

    By

    @plinz

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    Still inspired and grateful to @bradroyes and @foresightinst for kicking off AI Nodes and finally bringing SF energy to Berlin Loved sharing a talk on perceptual diversity and intelligence! 🙏 to @CIMCAI for supporting this work and enabling access to such incredible communities

    → View original post on X — @plinz, 2026-04-02 15:43 UTC

  • HERA: Dynamic Multi-Agent RAG Orchestration Framework with 38% Improvement
    HERA: Dynamic Multi-Agent RAG Orchestration Framework with 38% Improvement

    By

    @dair_ai

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    Static orchestration is the silent killer of multi-agent RAG systems. The query changes, but the agent topology stays the same. The work introduces HERA, a framework that jointly evolves multi-agent orchestration and role-specific agent prompts. At the global level, it optimizes query-specific agent topologies through reward-guided sampling. At the local level, it refines individual agent behaviors via credit assignment and dual-axes prompt adaptation. On six knowledge-intensive benchmarks, HERA achieves an average improvement of 38.69% over recent baselines. Why does it matter? As multi-agent RAG systems scale, the gap between fixed pipelines and adaptive orchestration will only grow. HERA shows that letting the system learn its own coordination structure produces compact, high-utility agent networks. Paper: arxiv.org/abs/2604.00901 Learn to build effective AI agents in our academy: academy.dair.ai/

    → View original post on X — @dair_ai, 2026-04-02 15:40 UTC