Artificial Superintelligence has always made sense as an aspiration and long-term goal.
It has always been FAIR's long-term goal (as well as mine). It still is, now more than ever. Artificial General Intelligence never made sense: it's meant to designate "human-level AI", but
AGI
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Superintelligence vs AGI: Redefining Long-Term AI Goals
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AGI Alpha Agent Launch: Decentralized AI Token on Solana
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[ AGI ALPHA AGENT ] GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… CA: tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump $AGIALPHA is History. #AGIALPHA #AGIFirst #MetaAgentic -
Understanding Decision Making Through Incentives and Constraints
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I used to say that the entire world’s decisions could be condensed into tradeoffs and incentives. If you understand the WHY and the resources and options and requirements and limitations and goals a person has, you’re more likely to be able to anticipate their decisions and
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Field Advances Rapidly While ARC-AGI-2 Still Under Development
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This field is moving too fast. We’re still working on ARC-AGI-2…
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French Politicians Understanding Advanced AI Stakes
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La Super IA arrive Quels politiciens comprennent les enjeux ? 1 @knafo_sarah de très très loin !
2 @laurentwauquiez 3 @GabrielAttal 4 @davidlisnard 5 @vpecresse 6 @J_Bardella 7 @olivierveran 8 @benjaminhaddad 9 @jf_cope 10 @sebchenu 11 @MLP_officiel 12 @ClaudeMalhuret -
Sakana AI ARC-AGI-2 Results: Clarification on Test-Time Search Method
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Impressive results from Sakana AI on ARC-AGI-2 with a new method for test-time-search and ensembling!
— François Chollet (@fchollet) 1 juillet 2025
Please be mindful when reporting on this result: the method doesn't actually get 30% on ARC-AGI-2 public eval, since ARC-AGI scores should be computed by checking whether you… https://t.co/By3lUGdrrnImpressive results from Sakana AI on ARC-AGI-2 with a new method for test-time-search and ensembling! Please be mindful when reporting on this result: the method doesn't actually get 30% on ARC-AGI-2 public eval, since ARC-AGI scores should be computed by checking whether you
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Multi-LLM AB-MCTS Combination Outperforms on ARC-AGI-2 Benchmark
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The Multi-LLM AB-MCTS combination of o4-mini + Gemini-2.5-Pro + DeepSeek-R1-0528, current frontier AI models, achieves strong performance on the ARC-AGI-2 benchmark, outperforming individual models by a large margin. Implementation of AB-MCTS on GitHub: https://
github.com/SakanaAI/treeq
uest
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Meta Publishes List of OpenAI Recruits for Superintelligence Team
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META has published the official list of all the people recruited from OPEN AI by META for their team dedicated to superintelligence… Altman en pls