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
RESEARCH
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AGI ALPHA: Gibbs-Game-Hamiltonian Framework for Multi-Agent Systems
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Brute Force State Space Search Efficiency in AI Systems
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No, the top score if you didn't account for action efficiency would be 100%, achievable with 20 lines of Python. All you need is to brute-force the state space. Please stop spreading complete disinformation.
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Model Output Matters More Than AI Personality Design
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It’s definitely the output. I don’t care about model personality at all. It could talk like a caveman, but if the results spoke louder, that’s all that matters. This is why I also find Anthropic’s obsession with the model personality a bit of a waste of time.
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X-Fly Ornithopter Uses Bird-Inspired AI Control Systems
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X-Fly: The Ornithopter That Tames Wing-Flap Chaos with Bird-Inspired Control
— Ronald van Loon (@Ronald_vanLoon) 26 avril 2026
via @IlirAliu_
#EmergingTech #Technology #Innovation #Tech pic.twitter.com/rw5yqbhq0OX-Fly: The Ornithopter That Tames Wing-Flap Chaos with Bird-Inspired Control
via @IlirAliu_ #EmergingTech #Technology #Innovation #Tech -
Transformers History: From Attention Mechanisms to Modern AI
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Transformers were published in 2017 (by Google), but was based on work on attention and associative memory by University of Montreal and FAIR 2 years earlier. And they use neural nets and backprop that were popularized in the late 1980s. Oh, and GPUs are based on work by Bill
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RAG Implementation in Azure AI and Cloud Computing
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RAG in #Azure AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/RAG-Azure References Arinco (Ravi, G.). (2024, -
Fundamentals of Reinforcement Learning: Complete Guide
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Fundamentals of #ReinforcementLearning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Fundamentals-RL -
Top Data Science Certification Courses for Python and R
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Top Data Science Certification Courses for Python and R! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode