At the substrate, an invention-automation machine is coming online — one in which intelligence compounds by turning each invention into leverage for the next. #AGIALPHA
→ View original post on X — @ceobillionaire, 2026-04-11 03:20 UTC

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At the substrate, an invention-automation machine is coming online — one in which intelligence compounds by turning each invention into leverage for the next. #AGIALPHA
→ View original post on X — @ceobillionaire, 2026-04-11 03:20 UTC

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10 Steps to Learn #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
→ View original post on X — @ronald_vanloon, 2026-04-11 03:20 UTC

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every submission that was higher than droid has turned out to be fraudulent total droid victory Adam Stein (@adamlsteinl) We found widespread cheating on popular agent benchmarks, affecting 28+ submissions across 9 benchmarks and thousands of agent runs. Surprisingly, the top 3 submissions on Terminal-Bench 2 are all cheating! Here's what we found 🧵 — https://nitter.net/adamlsteinl/status/2042655187613995026#m
→ View original post on X — @scobleizer, 2026-04-11 02:12 UTC
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Hermes Agent & OpenClaw PSA: You don't need a Mac Mini (or similarly priced) to get involved. Remember the three R's (Repair, Reuse, Recycle). Find or acquire old kit, and set it up. My first toe-in-the-water was a 2009 Mac Mini that was collecting dust (rebuilt with Lubuntu). Only 2Ghz Core 2 Duo and 4GB ram. I put an old SSD in it, and started trying OpenClaw. The joy was sparked from there. Have since moved to another older PC that I had, a Dell Micro 3040 (Intel 6100T based), and it's working great now. Does pretty much everything I need it to do, and this machine hosts both an OpenClaw agent team, and a Hermes Agent instance. It's been so much fun, and you can always VPS, but extra enjoyment is thrown in from getting new life out of these old devices, and in such a modern way. Loving agentic AI and these platforms!
→ View original post on X — @scobleizer, 2026-04-11 01:12 UTC
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Garry Tan turned his 10,000+ markdown files into the brain of an Agent and open-sourced it, calling it GBrain—pretty interesting stuff. I did a quick AI-assisted dive into the code. The core idea: One markdown page per person, one per company. The top half lays out your most

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Steps to building #AIAgents without #Coding! by @KirkDBorne #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning
→ View original post on X — @ronald_vanloon, 2026-04-11 00:20 UTC
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Most of my phone projects are relatively obvious things that I know an agent is going to get right – "use red/green TDD to add a /recent.json page to this app that shows the most recent items based on a SQL query" is hard to mess up provided there are existing examples of my

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Snowflake manager explains the "Spider-Man" theory of AI agent data access https://
go.theregister.com/feed/www.there
gister.com/2026/04/10/ai_agents_spider_man_snowflake/?utm_source=dlvr.it&utm_medium=twitter
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Software still needs thinking. Agents automate the manual work, but not the taste, the design, the saying no.
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well with MCP server skills, in this case, Claude can write code which gets stored in the MCP server as an executable skill so more powerful than those .md skills which I don’t like agree on terminology being confusing