Introducing “AGI ALPHA as a Far-From-Equilibrium Multi-Agent Work Engine”: Gibbs–Game–Hamiltonian framework for α-AGI Ascension. Author: Vincent Boucher, President of MONTREAL.AIand http://
QUEBEC.AI https://
github.com/MontrealAI/alp
ha-open-ended-rsi-system/blob/main/docs/gibbs_game_hamiltonian_framework/AGI_ALPHA_alpha_AGI_Ascension_Frontier_Synthesis_Publication.pdf
… #AGIALPHA #AIAgents
AGENTS
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AGI ALPHA: Gibbs-Game-Hamiltonian Framework for AGI Ascension
By
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AGI ALPHA: Gibbs-Game-Hamiltonian Framework for Multi-Agent Systems
By
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Introducing “AGI ALPHA as a Far-From-Equilibrium Multi-Agent Work Engine”: Gibbs–Game–Hamiltonian framework for α-AGI Ascension. Author: Vincent Boucher, President of http://
MONTREAL.AI and http://
QUEBEC.AI https://
github.com/MontrealAI/alp
ha-open-ended-rsi-system/blob/main/docs/gibbs_game_hamiltonian_framework/AGI_ALPHA_alpha_AGI_Ascension_Frontier_Synthesis_Publication.pdf
… #AGIALPHA #AIAgents -
User behavior shifts with advanced AI models like GPT 5.5
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I’ve found myself being much “nicer” to gpt 5.5, going out of my way to compliment the work in ways I never did before. It feels like working with a higher intelligence. I was never rude to other models, but caught myself being more aggressive in the past.
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Tracking 10000 AI Founders with Artificial Intelligence
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I have more than 10,000 founders on my various lists for just that reason: https://
x.com/scobleizer/lis
ts
… And my AI watches the AI ones closely to make this: -
Strategy Genes: AI Evolution Through Compact Reusable Code
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Can you turn messy trial-and-error into pure strategy, like a game AI evolving mid-battle? From Tsinghua University and EvoMap, researchers challenge how AI reuses past experience. Instead of bulky "skill manuals," they propose "Strategy Genes" — compact, evolution-ready code
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Allocating Agent Resources to New Folder Structure
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Pointing a new agent to the folder should be alright.
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AI Model Blocked for Poor Causal Understanding
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blocked for poor causal understanding of the world
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Claude Code Resource Bible: Developer Guide Released
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That's a wrap, folks! A BIG kudos to @charliejhills for creating this incredible Claude Code Resource Bible. If you enjoyed this, please share it so others can benefit too. Follow me → @datachaz for more insights on LLMs, AI agents, and data science!
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AI Agents Automation Tools: n8n, Office Agents, Cloak Browser
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IX. Automation + Infra 49. n8n-as-code: n8n workflows as code https://
github.com/EtienneLescot/
n8n-as-code
… 50. Office Agents: Word + Excel automation https://
github.com/hewliyang/offi
ce-agents
… 51. Cloak Browser: Stealth browser for agents https://
github.com/CloakHQ/CloakB
rowser
… 52. OpenLogs: AI agent observability -
Multi-Agent AI Frameworks and Automation Tools Overview
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VIII. Agent Frameworks 42. ClawTeam: Multi-agent coordination https://
github.com/HKUDS/ClawTeam 43. CLI-Anything: Turn any tool into CLI https://
github.com/HKUDS/CLI-Anyt
hing
… 44. Collaborator AI: Multi-agent collab https://
github.com/collaborator-a
i/collab-public
… 45. Autoresearch: Automated research loops