AGI Chat by AGI ALPHA #AGIALPHA #AGIChat $AGIALPHA
AGI
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Data Sovereignty Challenge: New Nations Dependent on US Chinese Models
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I get data sovereignty in some cases, but there is just no way for new countries to join the frontier model race as long as scaling (in any sense) matters. There is no sovereign model. You will be dependent on the production of Chinese (or US or French) open models as a base.
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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 -

Can Large Language Models Understand the Real World?
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Can large language models figure out the real world? How deeply predictive AI systems understand their subject matter? https://
news.mit.edu/2025/can-large
-language-models-figure-out-real-world-0825
… #AI #MachineLearning #MIT #Harvard @mitsmr@AlexMachicado@Analytics_699 -

Reinforcement Learning vs LLMs: Understanding vs Mimicking
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“Reinforcement learning is to understanding your world, whereas LLMs are about mimicking people, doing what people say you should do. They’re not about figuring out what to do.”
– Richard Sutton https://
youtube.com/watch?v=21EYKq
UsPfg&t=159s
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AGI Jobs Platform Launch on GitHub
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[ AGI Jobs ] GitHub : http://
github.com/MontrealAI/AGI
Jobsv0
… $AGIALPHA #AGIALPHA #Jobs -
Confusion about Demis mention regarding LLMs and AGI
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Yeah I don’t understand why the mention Demis either. IMHO he is positive that LLMs bring AGI
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LLMs Transform Economy Without Reaching General Intelligence
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Two things can be true at the same time:
1. Without additional advances, LLMs won't get us to general intelligence.
2. Even without additional advances, LLMs will radically transform the economy. -
Transformative AI Poses Nine Economic Challenges
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Transformative AI poses a challenge to economics. In fact, at least nine challenges.
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ICPC Results Show AI Problem-Solving Beyond Training Data
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No, the reason the ICPC result is so interesting is that the challenges were created specifically for this year's competition and could not have appeared anywhere in the training data
