its all starting to come togeher
INNOVATION
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Building Comprehensive AI Community Lists on X Platform
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I've been building the most complete lists of the AI community here on X. About 50,000 (8,300 companies, the rest people). All the small accounts, engineers, researchers, etc, are on AI Community lists here: https://
x.com/scobleizer/lis
ts
… My AI Newsmaker list is the best for the big -
Transformers.js Reaches 4.4M Monthly Downloads in March 2026
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Transformers.js monthly downloads 🤯📈
— Xenova (@xenovacom) 9 avril 2026
2023/03 ▏3.2K
2024/03 █ 266K
2025/03 ██ 764K
2026/03 ████████████ 4.4M
Thanks so much to this amazing community! 🤗 We're excited to see what you build next! pic.twitter.com/ruvsLMQNGlTransformers.js monthly downloads 🤯📈 2023/03 ▏3.2K 2024/03 █ 266K 2025/03 ██ 764K 2026/03 ████████████ 4.4M Thanks so much to this amazing community! 🤗 We're excited to see what you build next!
→ View original post on X — @clementdelangue, 2026-04-09 16:21 UTC
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SF and Texas AI Ecosystems: Scale Intelligence and Future Industries
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They are in synchronicity, as the SF ecosystem still powers the AI labs and the venture. ‘American Shenzhen’ IE, Texas, provides the foundation to scale Intelligence, and to build for the Industries of the future (space, fabs etc.) Although, if CA proceeds with wealth tax etc,
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Hard to Deny We Are in the Singularity Now
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hard to deny we are in the singularity now Dr. Alex Wissner-Gross (@alexwg) x.com/i/article/204224171052… — https://nitter.net/alexwg/status/2042242564422508809#m
→ View original post on X — @ceobillionaire, 2026-04-09 16:08 UTC
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Gemini transforms questions into interactive customizable visualizations
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Gemini can now transform your questions and complex concepts into customizable interactive visualizations directly in your chat. Adjust variables, rotate 3D models, and explore data for a more immersive way to learn and explore in Gemini.
→ View original post on X — @haroldsinnott, 2026-04-09 16:04 UTC
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Memory Ownership and Open Harnesses in AI Systems
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memory ownership is why we need open harnesses blog about this coming this weekend
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MIT Researchers Cut AI Model Training Costs With CompreSSM
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Training a large AI model is expensive, but MIT CSAIL researchers have helped develop a new approach that cuts compute costs. Using control theory, "CompreSSM" compresses models during training, shedding complexity. It makes models leaner & faster: https://
bit.ly/4sU2Sjc -

Deploy Production Ready Agents Web Open Standards
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Deploy a production ready agent to the web… with the same setup you use to define a coding agent AGENTS.md – open standard
/skills – open standard
mcp.json – convention