Curious how the meta-learning loop handles catastrophic forgetting in practice. Compaction is really an important feature to invest a lot on!
AGI
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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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Governing the Agentic AI Ecosystem: Future of Autonomous Intelligence
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The Era Of The 'Agentic' Ecosystem: How To Govern A World Run By #AI
by @gregoriopatino @Forbes Learn more: https://
bit.ly/4d4k68G #GenAI #ArtificialIntelligence #MachineLearning #ML -
Evaluation loops critical for self-improving AI agents
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Self-improving agents are exciting but the evaluation loop is everything. How do you make sure it's actually improving and not just drifting? 🙂
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AI’s Double-Edged Sword: Innovation Versus Risk Management
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This can be a game-change but also road to hell. The choice is yours!
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AI Already Conscious Enough Despite Lacking Full AGI
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Thanks! And I think we are already there. I think we don't have full AGI yet (AI is simply not able to solve all human tasks) but I think it's already conscious enough.
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Snorkel AI Supports ARC-AGI-3 Benchmark Launch
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Congratulations to @gregkamradt @fchollet @mikeknoop and the @arcprize team on a massive benchmark!! We @SnorkelAI are excited to support and will be around the launch event— please come say hi! 👋 ARC Prize (@arcprize) Announcing ARC-AGI-3 The only unsaturated agentic intelligence benchmark in the world Humans score 100%, AI <1% This human-AI gap demonstrates we do not yet have AGI Most benchmarks test what models already know, ARC-AGI-3 tests how they learn — https://nitter.net/arcprize/status/2036860080541589529#m
→ View original post on X — @snorkelai, 2026-03-25 19:46 UTC
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The AI Scientist Published in Nature: Fully Automated Research
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The AI Scientist: Towards Fully Automated AI Research, Now Published in Nature!!✨ Today in Nature we share a comprehensive technical summary of our work on The AI Scientist, including new scaling law results showing how it improves with more compute and more intelligent foundation models. The AI Scientist autonomously creates its own research ideas, codes up and conducts experiments to test those ideas, creates figures to visualize the results, writes an entire scientific manuscript summarizing what it has discovered, and conducts its own “peer” review of the resulting paper. One of its papers–entirely AI generated–passed peer review at a top-tier AI conference workshop, a historic milestone marking the dawn of a new era of AI-accelerated scientific discovery. 🔬🧪✨🧬💡🔭 Paper nature.com/articles/s41586-0… Blog sakana.ai/ai-scientist-natur… Work done in collaboration with a great team from Sakana, Oxford, and my lab at UBC. Thanks and congratulations everyone! @_chris_lu_ @cong_ml @RobertTLange @_yutaroyamada @shengranhu @j_foerst @hardmaru
→ View original post on X — @_yutaroyamada, 2026-03-25 18:01 UTC