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AUTOMATION

  • Using AI Assistants to Automate Your Work Tasks

    By

    @pmddomingos

    –

    I don't do that. I have Claude/Codex/Gemini do it for me.

    → View original post on X — @pmddomingos

  • Money Printer: Automated Tool to Generate B2B Customers
    Money Printer: Automated Tool to Generate B2B Customers

    By

    @datachaz

    –

    🚨 There is an awesome new tool called Money Printer. You paste your website link into it, and it automatically brings in customers 🔥 No building lists. No writing copy. No manual campaign setup. It handles the entire sales cycle: → Finds in-market companies based on your website → Pinpoints the exact people you need to talk to → Generates custom, highly personalized messaging → Automatically sends the emails and makes the phone calls I ran a quick test, and it immediately found accounts I never would have spotted manually. Most companies still treat outbound as a manual grind. This skips the grind completely. Input URL → Get customers. It's that simple. (link below) [Translated from EN to English]

    → View original post on X — @datachaz, 2026-04-07 06:33 UTC

  • AI agent fully deploys GPU inference server via Discord
    AI agent fully deploys GPU inference server via Discord

    By

    @theahmadosman

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    I let Codex CLI drive the whole thing from spinning up a fresh VM on a Proxmox node
    to passing through the GPU & updating drivers to setting up Hermes + llama.cpp inference
    and putting the model online to giving me access through Discord Amazing what agents can do for us now

    → View original post on X — @theahmadosman

  • Gino 1: AI-Powered Robot Revolutionizes Warehouse Task Automation

    By

    @ronald_vanloon

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    Gino 1 Arrives: #AI-Powered #Robot Aims to Master Every #Warehouse Task via @XRoboHub #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology

    → View original post on X — @ronald_vanloon, 2026-04-07 06:23 UTC

  • CEO Tests MemPalace AI Memory System with 79 Employees
    CEO Tests MemPalace AI Memory System with 79 Employees

    By

    @ceobillionaire

    –

    We at The Zero-Human Company have been testing MemPalace by the amazing @bensig and Milla Jovovich and are absolutely blown away! It is a freaking masterpiece and we have deployed it to 79 employees at the company. Each worker will be testing and expanding on MemPalace. I will have a lot to say about how we are using it and how you should to. Ben Sigman (@bensig) My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark – beating every product in the space, free or paid. It's called MemPalace, and it works nothing like anything else out there. Instead of sending your data to a background agent in the cloud, it mines your conversations locally and organizes them into a palace – a structured architecture with wings, halls, and rooms that mirrors how human memory actually works. Here is what that gets you: → Your AI knows who you are before you type a single word – family, projects, preferences, loaded in ~120 tokens → Palace architecture organizes memories by domain and type – not a flat list of facts, a navigable structure → Semantic search across months of conversations finds the answer in position 1 or 2 → AAAK compression fits your entire life context into 120 tokens – 30x lossless compression any LLM reads natively → Contradiction detection catches wrong names, wrong pronouns, wrong ages before you ever see them The benchmarks: 100% recall on LongMemEval — first perfect score ever recorded. 500/500 questions. Every question type at 100%. 92.9% on ConvoMem — more than 2x Mem0's score. 100% on LoCoMo — every multi-hop reasoning category, including temporal inference which stumps most systems. No API key. No cloud. No subscription. One dependency. Runs on your machine. Your memories never leave. MIT License. 100% Open Source. github.com/milla-jovovich/me… Community note: The claimed 100% LongMemEval score uses targeted fixes for the 3 failing questions and LLM reranking (held-out score: 98.4%). The 100% LoCoMo score uses top-k=50 exceeding session count with reranking (honest top-10 no rerank: 88.9%). github.com/milla-jovovich… — https://nitter.net/bensig/status/2041236952998171118#m

    → View original post on X — @ceobillionaire, 2026-04-07 06:08 UTC

  • AI transformation requires builders, not just consultants and slides
    AI transformation requires builders, not just consultants and slides

    By

    @pascal_bornet

    –

    This meme is funny because it exposes something real. A surprising number of companies say they want to become AI-first. Then they hire more consultants. More slides. More workshops. More people discussing transformation while very few are actually building it. That might have made sense before. It makes much less sense now. AI has already made a big part of traditional consulting work faster, cheaper, and easier: summaries, formatting, repetitive analysis, deck-building, and a lot of the copy-paste work that used to pass as high-value output. So when a company responds to AI by adding even more consultants, I have to ask: What exactly are they accelerating? Because real AI transformation does not happen in a strategy deck. It happens when builders are embedded inside the business. Close to the teams doing the work. Close to the friction. Close to the messy processes that no workshop can fix. That is where the real use cases appear. That is where systems get tested. That is where value gets created. The companies moving fastest right now are not the ones talking most about AI. They are the ones shipping. If consultants outnumber builders in your AI initiative, that is not a strategy. That is the problem. What are you seeing more of right now: companies building with AI, or companies still making decks about it? #AI #ArtificialIntelligence #BusinessTransformation #Consulting #DigitalTransformation #FutureOfWork #Innovation #AIStrategy

    → View original post on X — @pascal_bornet, 2026-04-07 05:00 UTC

  • Training AI Agent Takes Two Months Success

    By

    @scobleizer

    –

    Thanks! It took two months to train my agent to do it.

    → View original post on X — @scobleizer

  • AI Synthesizes 25,000 Daily Posts Into Automated Podcast

    By

    @scobleizer

    –

    Brilliant work from Scobles, really shows the power AI has to empower people with vision and knowledge previously limited by human and computing resource. A perfect example of how AI empowers humans not replace them. Well done mate. Robert Scoble (@Scobleizer) You can't read 25,000 posts a day, synthesize them into a web site. Then make a podcast automatically. Mine can: alignednews.com/ai There is a Notebook LM button at the bottom. It will put a script into your memory. Go over to @NotebookLM and paste it in and click "create." (No additional prompt needed). A few minutes later this podcast, mind map, slide deck, and shortly a video, pops out: notebooklm.google.com/notebo… It is a podcast completely created by you here on X. — https://nitter.net/Scobleizer/status/2041367549041144263#m

    → View original post on X — @scobleizer, 2026-04-07 04:17 UTC

  • Automated AI Podcast Generation from 25000 Daily Posts

    By

    @scobleizer

    –

    You can't read 25,000 posts a day, synthesize them into a web site. Then make a podcast automatically. Mine can: alignednews.com/ai There is a Notebook LM button at the bottom. It will put a script into your memory. Go over to @NotebookLM and paste it in and click "create." (No additional prompt needed). A few minutes later this podcast, mind map, slide deck, and shortly a video, pops out: notebooklm.google.com/notebo… It is a podcast completely created by you here on X.

    → View original post on X — @scobleizer, 2026-04-07 04:08 UTC

  • Gemma 4 Reasoning Adapter Trained on Opus Released Open Source
    Gemma 4 Reasoning Adapter Trained on Opus Released Open Source

    By

    @clementdelangue

    –

    🤯 GEMMA 4 + OPUS 4.6 REASONING DROPPED @kaiostephens goal: produce a Gemma 4-31B reasoning adapter trained only on Opus reasoning 🧠 What the model is: 🧬 Tiny QLoRA adapter on Gemma 4 31B-it 📊 Fine-tuned on ~1,900 curated Opus Examples ⚡ Trained in ~1 hour on a single GH200 GPU 📖 Fully open Apache 2.0 What it does: ✨ Boosts overall quality, coherence, and personality 🧮 Stronger math, code, and Opus problem solving 💬 More refined, thoughtful responses 🏠 Built for local agents, workflows, and heavy daily Vs base Gemma 4 31B: 📐 Same efficient base model, no extra size or speed 📈 Noticeable step up in real-world depth and quality 💪 Base was already strong this levels It up! Grab the adapter here 👇🏻 huggingface.co/kai-os/gemma4…

    → View original post on X — @clementdelangue, 2026-04-07 03:51 UTC