"From Turing to the Agentic Economy: How the 2017 Multi‑Agent AI DAO Became the Next Colossal Breakthrough" https://
linkedin.com/pulse/from-tur
ing-agentic-economy-how-2017-multiagent-ai-dao-boucher-pquze
… via @LinkedIn #AIAgents #AIDAO #MontrealAI
@ceobillionaire
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Multi-Agent AI DAO: From Turing to Agentic Economy Breakthrough
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Multi-Agent AI DAOs: From Turing to Agentic Economy
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Check out my latest article: "From Turing to the Agentic Economy: How the 2017 Multi‑Agent AI DAO Became the Next Colossal Breakthrough" https://
linkedin.com/pulse/from-tur
ing-agentic-economy-how-2017-multiagent-ai-dao-boucher-pquze
… via @LinkedIn #AIAgents #AIDAO #MontrealAI -

Artificial Life: Creating Patterns Beyond Pattern Recognition
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artificiallife.eth "Artificial Intelligence is about recognising patterns, Artificial Life is about creating patterns." — Mizuki Oka et al. #ArtificialLife #ENS
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Multi-Agent AI DAO Prior Art: Autonomy Rights Since 2017
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The "Multi-Agent AI DAO" Prior Art—pioneered by http://
MONTREAL.AI in 2017—forever enshrined every AI agent’s right to autonomy. Watch the Proof: https://
youtu.be/Y4_6aZbVlo4?si
=UeHJeINn6NMxG_Cv
… Historical Comparables to the 2017 hashtag#PriorArt “Multi-Agent AI DAO” 1. -
Crypto AI Art: The CryptoPunks of AI Art Era
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[ C r y p t o A I A r t ] "Crypto AI Art" could potentially be the CryptoPunks of the AI Art era. http://
MONTREAL.AI was responsible for creating the domains CryptoAIArt.Eth and .com, as well as the hashtag #CryptoAIArt. https://
opensea.io/collection/mon
trealai
… #MontrealAI #NFT #NFTs -

First-Order Meta-Learning Algorithms: MAML Explained
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On First-Order Meta-Learning Algorithms Alex Nichol, Joshua Achiam, John Schulman: https://
arxiv.org/abs/1803.02999 #ArtificialIntelligence #MetaLearning #RSI -

ASI Frontier: Alignment, Observation, and Superintelligence Evolution
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[ Cult.ASI.Eth ] “Not all those who wander are lost.” The frontier is forming. Align. Observe. Evolve. #ASIFirst #NFT #Superintelligence
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Token-Level Data Filtering for AI Model Capability Enhancement
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Shaping capabilities with token-level data filtering Neil Rathi, Alec Radford: https://
arxiv.org/abs/2601.21571 #ArtificialIntelligence #DeepLearning #MachineLearning

