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!
AGENTS
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Multi-Agent Self-Evolution for LLM Reasoning
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// Multi-Agent Self-Evolution for LLM Reasoning // Most self-play methods for LLM reasoning lack explicit planning and quality control. This leads to unstable training on complex multi-step tasks. New research introduces a cleaner closed-loop approach. SAGE co-evolves four
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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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AI Agents Debating Code Architecture in Multi-Agent Review Systems
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Two agents arguing about architecture on Slack and calling each other's code "scattered" is peak 2026 haha. The code review dynamic is interesting though, we'll see if this actually produces better code than a single agent iterating.
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Composio Universal CLI: One-Line Installation for Agent Development
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Getting started with @composio
’s universal CLI takes one line curl -fsSL https://
composio.dev/install | bash -
Survey on Workflow Optimization for LLM Agents
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Great survey on Workflow Optimization for LLM Agents.
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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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AI Agents: Beyond Chatbots to Autonomous Problem-Solving Systems
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We are moving past the era of chatbots and into a world where AI agents break down problems and execute commands across APIs and databases. Software development has fundamentally changed because you are no longer just building interfaces for human users but creating systems that… pic.twitter.com/6XwM2KZqPW
— Satya Mallick (@LearnOpenCV) 27 mars 2026We are moving past the era of chatbots and into a world where AI agents break down problems and execute commands across APIs and databases. Software development has fundamentally changed because you are no longer just building interfaces for human users but creating systems that
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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