[ AGI Jobs ] Edge-of-Knowledge Sprint Plan: "Implementing the Planner → Simulator → Runner Pipeline" https://
docs.google.com/document/d/1PR
YyWxL-JNNpuYTT4gTXmMpKcPyW6Xzz/edit?usp=sharing&ouid=115006596614780570930&rtpof=true&sd=true
… GitHub: https://
github.com/MontrealAI/AGI
Jobsv0
…) $AGIALPHA #AGIALPHA #AGIJobs
@ceobillionaire
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AGI Jobs Edge-of-Knowledge Sprint Implementation Pipeline
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UserRL: Training Interactive User-Centric Agent via Reinforcement Learning
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UserRL: Training Interactive User-Centric Agent via Reinforcement Learning Qian et al.: https://
arxiv.org/abs/2509.19736 #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
Alpha-Factory AGI System Generates Autonomous Business Revenue Streams
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[ Large‑Scale α‑AGI Business 3 — Omega‑Grade Edition ] Alpha‑Factory v1 → Ω‑Lattice v0 Transmuting cosmological free‑energy gradients into compounding cash‑flows. Demo — GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/alpha_agi_business_3_v1
… #AGI #AGIALPHA #AscendAGI -
AGI Jobs Platform Launch on GitHub
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[ AGI Jobs ] GitHub : http://
github.com/MontrealAI/AGI
Jobsv0
… $AGIALPHA #AGIALPHA #Jobs -
Agent-Staffed Workforce: The Future of AGI Jobs
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[ AGI Jobs ] “If you’re not agent‑staffed, you’re understaffed.” GitHub : http://
github.com/MontrealAI/AGI
Jobsv0
… $AGIALPHA #AGIALPHA #AGIJobs -
On-Chain Coordination Rail for Autonomous Agent Work
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[ AGI Jobs v0 ] “The on‑chain coordination rail where autonomous agents prove work, earn on merit, and build portable reputation—identity, escrow, verification, and reusable artifacts in one pipeline.” Why This Wins the AI Race The race won’t be decided by a single
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RPG: Repository Planning Graph for Unified Codebase Generation
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RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation Luo et al.: https://
arxiv.org/abs/2509.16198 #ArtificialIntelligence #DeepLearning #MachineLearning -
Multi-Agent AI DAO Prior Art: Autonomous Rights Since 2017
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[ Multi-Agent AI DAO ] 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
=qE7ylO9_53XVhgmk
… Historical Comparables to the 2017 #PriorArt -
Discovered Policy Optimisation: Lu et al. Research
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Discovered Policy Optimisation Lu et al.: https://
arxiv.org/abs/2210.05639 #ArtificialIntelligence #DeepLearning #MachineLearning
