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

    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

  • Grok’s Unique Value: Native Twitter Data Access at 2%

    Grok at 2% purely for Twitter context is exactly the right use. Native platform data access is the one thing it does that nothing else can replicate.

    → View original post on X — @aihighlight

  • Model-Level Compaction Targets Configuration for AI Agents

    Oh, currently there's already a way to set lower compaction targets per model, you want an override per agent as well? Wouldn't setting that per-model be what you need?

    → View original post on X — @steipete

  • $125B Training Costs: Capital Structure Depends on Perfect Timing

    $125B in training costs by 2029 means the capital structure only works if the timeline is right. No soft landing if it's wrong.

    → View original post on X — @aihighlight

  • Sub-1.5GB Memory Model with Genuine Reasoning Capability

    Under 1.5GB memory usage on some devices for a model with genuine reasoning capability is a hardware efficiency story that the chip and mobile industry should be watching carefully.

    → View original post on X — @aihighlight

  • Engineering Standards Context Drives Better AI Output Quality

    The developers getting good output have essentially encoded their engineering standards into the context before writing a single prompt. The ones getting garbage skipped that entirely.

    → View original post on X — @aihighlight

  • AI Trick to Respond Exactly Like You

    I have published an episode on @ivoox
    : "#1105: The trick for AI to think and respond exactly like you #podcast

    → View original post on X — @juanmerodio

  • Hermes-Agent integrates Karpathy’s LLM-Wiki for knowledge management
    Hermes-Agent integrates Karpathy’s LLM-Wiki for knowledge management

    The LLM Wiki by @karpathy is now a built-in skill in Hermes-Agent, give it a try Teknium (e/λ) (@Teknium) Hermes Agent now comes packaged with Karpathy's LLM-Wiki for creating knowledgebases and research vaults with Obsidian! In just a short bit of time Hermes created a large body of research work from studying the web, code, and our papers to create this knowledge base around all of Nous' projects. Just `hermes update` and type /llm-wiki <research x> in a new message or session to begin 🙂 github.com/NousResearch/herm… — https://nitter.net/Teknium/status/2041370915012071577#m

    → View original post on X — @scobleizer, 2026-04-07 04:53 UTC

  • Milla Jovovich co-develops record-breaking AI memory system MemPalace
    Milla Jovovich co-develops record-breaking AI memory system MemPalace

    Milla Jovovich has a Github 😏 She's co-developed the highest-scoring AI memory system ever benchmarked with @bensig Totally free and OSS. What a boss. Ben Sigman (@bensig) Excited to announce a new open-source, free-to-use memory tool I have been developing with my good friend @MillaJovovich. The project is called MemPalace and it is an agentic memory tool that scored 100% on LongMemEval – the industry standard benchmark for memory… this is higher on than any other published results – free or paid – and it is available now on GitHub. You can check out Milla’s video about it on her Instagram. I’ll also put some links in the comments below – please try it out, critique it, fork it, contribute to it – and join our discord. — https://nitter.net/bensig/status/2041229266432733356#m

    → View original post on X — @ceobillionaire, 2026-04-07 04:48 UTC

  • AI Synthesizes 25,000 Daily Posts Into Automated Podcast

    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