"SkillClaw: Let Skills Evolve Collectively with Agentic Evolver" As most AI agents still relearn the same targets from scratch, SkillClaw turns it into shared learning, where it collects agent trajectories across users, groups them by skill, and uses an agentic evolver to spot
AGI
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DeepAgents CLI: Exploration Tool for AI Agents
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definitely is! we have deepagents cli which is our exploration
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Important Procurement Deadlines Complete Guide
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All of the important deadlines for Procurement #0. https://
montrealai.github.io/discoveryprime
-first-procurement-complete-guide-v10.html
… #AGIALPHA #AGIJobs #AGIFirst -

Advanced Autonomous Agents Interacting With Physical World Mid-2030s
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I see this as a route for advanced autonomous agentic AI (neurosymbolic & neuromorphic) to experience and interact with the physical world in the mid 2030s onwards
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Systems require continuous learning for improvement
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Totally agree about the whole system needing to continually learn
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Human intelligence versus AI capability debate continues
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And some say all humans are way smarter than the most capable AI pic.twitter.com/2T21G3VtdR
— AI (@DeepLearn007) 12 avril 2026And some say all humans are way smarter than the most capable AI
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Hassabis vs LeCun: Major AI Researchers Clash on LLM Future
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The CEO of Google DeepMind just went on record saying he disagrees with one of the most respected AI researchers in the world.
— Milk Road AI (@MilkRoadAI) 12 avril 2026
Demis Hassabis, the man behind AlphaFold, AlphaGo, and Google's entire AI operation publicly pushed back against Yann LeCun's claim that large language… pic.twitter.com/qmrLXNEqXUThe CEO of Google DeepMind just went on record saying he disagrees with one of the most respected AI researchers in the world. Demis Hassabis, the man behind AlphaFold, AlphaGo, and Google's entire AI operation publicly pushed back against Yann LeCun's claim that large language models are a dead end for artificial intelligence. LeCun, who left Meta earlier this year to start his own AI lab, has been saying for years that LLMs cannot reason, cannot plan, and will never get us to human-level intelligence. Hassabis disagrees, and he said so directly. His position is that scaling laws are still working, foundation models are still getting more capable, and whatever AGI ends up looking like, LLMs will be a central part of it, not something that gets replaced. He does say there is roughly a 50/50 chance that one or two additional breakthroughs will be needed beyond scaling alone, things like better memory, long-term planning, and world models. But the core disagreement with LeCun is clear, Hassabis believes the current architecture is sound and the current path leads somewhere real. Two Nobel-recognized researchers, two founding figures of modern AI, now publicly on opposite sides of the most important technical question in the industry.
→ View original post on X — @ceobillionaire, 2026-04-12 09:02 UTC
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ASI Achievement Reached Internally
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ASI has been achieved internally tbh
→ View original post on X — @ceobillionaire, 2026-04-12 04:12 UTC
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EverMind Launches Agent Capability Benchmark Test
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稍微剧透一下,
@EverMind 马上会推出一个 Benchmark,可测试 Agent 的能力。 诸位的 OpenClaw 和 Hermes Agent 都可以测测看。

