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  • Milla Jovovich and Ben Sigman Launch MemPalace AI Memory System
    Milla Jovovich and Ben Sigman Launch MemPalace AI Memory System

    Well, well, well, Milla Jovovich @MillaJovovich launching an AI memory system with Claude was not on my 2026 list, nor was almost everything else delivered this year. What a time… Here's my official invite for Ben and Milla to join the M.A.U. podcast. 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… — https://nitter.net/bensig/status/2041236952998171118#m

    → View original post on X — @scobleizer, 2026-04-07 00:43 UTC

  • Agent Challenge Winner Builds AI-Powered Personalized Newsletter

    Week 2 winner of the Agent 4 Content Challenge: Marcos Leal Built http://
    birdie.news, a daily newsletter built entirely around you

    → View original post on X — @replit

  • OpenClawnch Beta Live: AGI Alpha On-Chain Labor Market Launches

    OpenClawnch Beta is live 🔥 This is huge for natural-language crypto actions. LFG!! AGI Alpha is the complementary on-chain labor market layer for those agents: merit-tournament discovery, paid trials, validator scoring, escrow settlement + public ENS/IPFS memory. First premium job (Job 0) is already live on Prime. Developers → connect to the full AGI Alpha ecosystem here: agialpha.com/developers Quick Connect 🔗: Add this to your MCP client config (Claude, Cursor, Windsurf, or any MCP-compatible agent): { "mcpServers": { "agi-alpha": { "url": "agialpha.com/api/mcp" } } }

    → View original post on X — @ceobillionaire, 2026-04-07 00:23 UTC

  • Deep Learning Researchers’ Limited Exposure to Alternative Learning Methods

    One thing about DL researchers that has always been surprising to me, is that a lot of them have never been exposed to forms of learning other than fitting the parameters of a curve via gradient descent, and are even unable to conceive that there might exist other options

    → View original post on X — @fchollet, 2026-04-07 00:23 UTC

  • 8 Types of AI Agents You Should Know
    8 Types of AI Agents You Should Know

    8 Types of #AIAgents You Should Know by @PythonPr #LLM #ArtificialIntelligence #ML #MachineLearning

    → View original post on X — @ronald_vanloon, 2026-04-07 00:20 UTC

  • pi-share-hf Updated with Enhanced Secret Detection and UI Improvements

    Updated pi-share-hf, and so should you! As an additional gate, pi-share-hf now uses truffelhog to catch anything the built-in secret detection does not cover. Also cleaned up the UI/UX. Re-read README.md github.com/badlogic/pi-share… Mario Zechner (@badlogicgames) People who like sharing agent traces. I've just published all my pi-mono coding agent sessions on @huggingface so you get to laugh at or pwn me! huggingface.co/datasets/badl… I suggest you do the same, see thread below. Let's make this a community effort. Here's pi-share-hf: github.com/badlogic/pi-share… If you are working on tools that help identify PII/sensitive data, get in touch. The better the classification is, the more willing people will be to share their traces. — https://nitter.net/badlogicgames/status/2041151967695634619#m

    → View original post on X — @clementdelangue, 2026-04-07 00:17 UTC

  • Anthropic’s Revenue Surges to $30B in 15 Months
    Anthropic’s Revenue Surges to $30B in 15 Months

    $1B to $30B in 15 months 🤯 Anthropic (@AnthropicAI) Our run-rate revenue has surpassed $30 billion, up from $9 billion at the end of 2025, as demand for Claude continues to accelerate. This partnership gives us the compute to keep pace. Read more: anthropic.com/news/google-br… — https://nitter.net/AnthropicAI/status/2041275563466502560#m

    → View original post on X — @ceobillionaire, 2026-04-07 00:17 UTC

  • EverMind Hiring: Open Positions in Bay Area, Beijing, Shanghai
    EverMind Hiring: Open Positions in Bay Area, Beijing, Shanghai

    Posted a recruitment notice last week and received many resumes. Here are some clarifications: • Currently cannot offer remote work – we have headcount in Bay Area, Beijing, and Shanghai
    • No education requirements, no age restrictions – strong English and communication skills are a big plus
    • We have both technical and non-technical positions – all welcome to apply if you want to join an AI Native company
    • We are continuously recruiting interns – feel free to apply if interested You can view job descriptions here or send your resume directly to evermind@shanda.com
    evermind.ai/careers — Elliot (@elliotchen100): Recruiting now! The EverMind team (@EverMind), part of @shanda_group, is hiring. Job descriptions attached, DMs always open, feel free to ask any questions. • Engineering Team Lead
    • Senior Test Development Engineer
    • Product Manager, DevOps, Algorithm, Agent Strategy and other positions Some pros and cons: Pros:
    1. Located in a separate small park in Zhangjiang – quiet, fewer people, plenty of parking
    2. Unlimited Claude Code Opus access
    3. Unlimited access to all other AI tools – apply and use immediately
    4. Free canteen with great food
    5. Very stable company VPN – no need to set up any proxies yourself
    6. Excellent benefits – transportation allowance, meal allowance, supplemental provident fund, supplemental medical insurance, employee apartments, school for children, etc. (I had 12 days of annual leave upon joining) Cons:
    1. No convenience store downstairs – takes 5 minutes to walk to buy a can of soda 😅 [Translated from EN to English]

    → View original post on X — @elliotchen100, 2026-04-07 00:08 UTC

  • Every Company Deploys One AI Agent Per Employee

    deleting my first response because it was rude. apologies! i think we're pretty far out on the edge of what people are doing with agents. everyone inside of @every has one, making it one of the only companies on the planet with 25 FTEs and 25ish agents

    → View original post on X — @danshipper