Darn it, I had OpenClaw discover cure for cancer, but then it ran sudo rm -rf / on my machine, and now it's lost forever!
AGI
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From Data to AI Agents: The New Business Paradigm
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2016: here is a lot of data, build me a business! 2026: here are a lot of agents, build me a business!
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AGI Definition Evolves Faster Than Our Understanding
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Bold prediction for Q4 haha. I think the capabilities will keep surprising us but "AGI" is one of those words where the definition keeps moving. We're already struggling to fully understand and leverage current models..!
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Meta-Learning Loops and Catastrophic Forgetting in AI Systems
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Curious how the meta-learning loop handles catastrophic forgetting in practice. Compaction is really an important feature to invest a lot on!
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Meta-Learning Loops and Catastrophic Forgetting in AI Systems
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Curious how the meta-learning loop handles catastrophic forgetting in practice. Compaction is really an important feature to invest a lot on!
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Symbolica’s Agentica SDK Achieves 36.08% on ARC-AGI-3 Benchmark
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Symbolica's Agentica SDK just hit 36.08% on the brand-new ARC-AGI-3 benchmark – in a single day – at a fraction of what brute-forcing it with a frontier model would cost.
— Chubby♨️ (@kimmonismus) 27 mars 2026
Their agentic approach dramatically outperformed throwing raw compute at the problem.
Really eagier to… https://t.co/ZPjMEQvLI5Symbolica's Agentica SDK just hit 36.08% on the brand-new ARC-AGI-3 benchmark – in a single day – at a fraction of what brute-forcing it with a frontier model would cost. Their agentic approach dramatically outperformed throwing raw compute at the problem. Really eagier to
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Know What You’re Doing Before Using AI Agents
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gm just a reminder: if you don't know what you are doing, agents will not help you get it done better or faster
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Self-Improving AI: Russell Warns of Rapid IQ Scaling Risks
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UC Berkeley professor Stuart Russell: An AI with IQ 150 could upgrade itself to 170, then 250, very soon leaving humans way behind.
— Amitav Bhattacharjee (@bamitav) 27 mars 2026
A recent #Meta paper also wanred self-improving AI is promising but risky, as removing humans can worsen misalignment#AI #ArtificialIntelligence… pic.twitter.com/MjMtBTbKWUUC Berkeley professor Stuart Russell: An AI with IQ 150 could upgrade itself to 170, then 250, very soon leaving humans way behind. A recent #Meta paper also wanred self-improving AI is promising but risky, as removing humans can worsen misalignment #AI #ArtificialIntelligence
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Removing ARC-AGI-3 Specific Components From AI Systems
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Easy — simply remove the parts of the system that are specific to ARC-AGI-3, or that were engineered/configured based on test runs made on ARC-AGI-3 tasks. Currently, this covers at least all the prompts that describe the process to follow to beat the games.