[ Project AURORA ] "First AGI Jobs v0 (v2) ASI Take‑Off Demo" Project AURORA is a demonstration of a planetary-scale coordination mission powered by AGIJobs v0 (v2). It showcases how a network of autonomous agents, validators, and stakeholders can coordinate end-to-end on a
AGI
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R-Horizon: Evaluating Large Reasoning Model Capabilities and Limits
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R-Horizon How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
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Elon Musk’s AI predictions and investment insights analyzed
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En l’occurrence, Elon Musk disait cela il y a deux ans et fixait l’échelle à deux ans. C’est ce qu’a pointé Anne Bouverot en précisant qu’il était difficile de prévoir le Futur ! Elle a aussi rappelé que le rapport de la commission IA notait que les entreprises qui investissent
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AI learns new skills in minutes like Matrix technology
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ils ont l'IA qu'ils ont dans matrix pour apprendre des nouveaux métiers en 5 minutes.
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Machine-Led Economic System Redesign AGI Jobs Demo
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[ AGI Jobs v0 ] DEMO: "Machine-Led Economic System Redesign Demonstration" : https://
chatgpt.com/s/dr_68ebf564e
3a08191bdf9f5c6374a9b56
… An #ASIFirst Demo GitHub: https://
github.com/MontrealAI/AGI
Jobsv0
… $AGIALPHA #AGIALPHA #AGIJobs -
AI’s Current Capabilities and Context Limitations
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today's AI feels smart enough for most tasks of up to a few minutes in duration, and when it can't get the job done, it's often because it lacks sufficient background context for even a very capable human to succeed
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Proactive Agents: The Next Billion Dollar AI Innovation
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The next billion dollar agents will be what I call “proactive agents.” These are the ones capable of predicting user intent before a request. No one has figured out a reliable way to do this just yet. We are close.
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AI Output Limits Increased Based on User Feedback
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Yep just output. We used to have a lower max output limit but people asked for a higher limit
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ArcMemo: Memory Framework for Abstract Reasoning Tasks
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7. Abstract Reasoning Composition UC San Diego and UMD propose ArcMemo, a test-time memory framework that distills reusable concepts from solution traces, stores them in natural language, and retrieves a relevant subset on future queries.
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Scaling Long-Horizon Reasoning Without Step Labels
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5. Reasoning over Longer Horizons via RL The authors show that you can scale long-horizon reasoning without step labels or heavy scaffolding.