JUST IN: Marc Andreessen declares "AGI is already here," just not evenly distributed yet.
→ View original post on X — @ceobillionaire, 2026-04-05 23:32 UTC
RESEARCH
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Model Self-Debugging and Tool Transparency in AI Systems
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Ask your model what tools it sees and self-debug. I don't see that here.
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Consensus: AGI is Already Here According to Andreessen
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Consensus…. AGI is here nitter.net/jason/status/202275672… Marc Andreessen 🇺🇸 (@pmarca) I'm calling it. AGI is already here – it's just not evenly distributed yet. — https://nitter.net/pmarca/status/2040922415551959338#m [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-05 23:21 UTC
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AGI Achieved Internally, According to CEO Billionaire
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AGI has been achieved internally Marc Andreessen 🇺🇸 (@pmarca) I'm calling it. AGI is already here – it's just not evenly distributed yet. — https://nitter.net/pmarca/status/2040922415551959338#m
→ View original post on X — @ceobillionaire, 2026-04-05 23:09 UTC
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Boston Dynamics-Google DeepMind Alliance Transforms Physical AI
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The Rise of Physical #AI: Why the Boston Dynamics–Google DeepMind Alliance Changes Everything buff.ly/JJB3fsE v/ @UniteAi Cc @DeepLearn007 @Fisher85M @sallyeaves @AkwyZ @Fabriziobustama @enilev @Nicochan33 @EvanKirstel @ahier
→ View original post on X — @nicochan33, 2026-04-05 23:00 UTC
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AGI Already Exists But Unevenly Distributed
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I'm calling it. AGI is already here – it's just not evenly distributed yet.
→ View original post on X — @ceobillionaire, 2026-04-05 22:39 UTC
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AI Tools Empowering Scientists in Modern Physics Research
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This is such an inspiring video. It also makes me feel proud that we are building AI tools to empower these amazing scientists to expand our knowledge. Modern physics is forcing us to rethink existence | Michelle Thaller: Fu… piped.video/LcC5ilQKQGc?si=Gvdn… via @YouTube
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Gemma 4 Reaches Number One on Hugging Face Leaderboard
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Gemma 4 is #1 on @huggingface!
→ View original post on X — @demishassabis, 2026-04-05 21:55 UTC
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Scaling Laws and Token Usage in AI Reasoning Models
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Unappreciated fact is the second scaling law does not seem to completely plateau in many tasks: throw more tokens at a reasoning AI model and get better answers, especially with a simple harness. Benchmark performance is actually limited by token usage. https://
open.substack.com/pub/joelbkr/p/
many-benchmarks-scores-would-appear?r=i5f7&utm_medium=ios
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PhAIL: Robotics Benchmark Focused on Operational Reliability
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PhAIL just launched — the first robotics benchmark measuring units per hour and mean time between failures, not "success rate." First time I've seen the research community measure robots the way a factory operator would. The gap between those two measurements is where most deployments quietly fail. [Translated from EN to English]
→ View original post on X — @ken_goldberg, 2026-04-05 21:42 UTC