Yann LeCun of NYU, with Randall Balestriero of Brown University and Kerda Varaku, published a pre-print paper proposing counterfactual world models that help robots predict how objects would behave under actions the model never observed

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441e85161News eventClaim

MIT CSAIL researchers Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab described weight-space programming

441e85161ClaimNews event

Microsoft and Microsoft Research introduced environment-probing curation, which gives agent memory curators read-only access to live environments, nearly doubling Copilot benchmark task success and halving inference costs.

441e85161News eventClaim

World Labs unveiled Atlas, a multimodal world model that generates and reconstructs 3D environments

441e85161ClaimNews event

Google DeepMind released its Genie 4 AI world model in research preview for trusted testers

441e85161Claim

AI research organizations should open-source their underlying training infrastructure

441e85161Claim

Automated AI research poses an unacceptable risk of losing control to superhuman systems

441e85161Claim

Physics-aware digital simulations are insufficient for training real-world robots

441e85161Claim

Governments should have the authority to pause automated AI research

441e85161Claim

Automating AI research will trigger an intelligence explosion

441e85161Claim

Governments should mandate oversight of AI R&D automation

441e85161Claim

Elite universities stifle technological innovation

441e85161Claim

AI safety research should be conducted independently of commercial frontier labs

441e85161Claim

World models represent a more viable path to advanced AI than large language models

441e85161Claim

Generative AI world models will render traditional video game engines obsolete

441e85161Claim

AI labs should dedicate a larger share of compute to safety research

441e85161Claim

Frontier AI companies should grant independent evaluators permanent, employee-level access

441e85161Claim

Pacing would let interpretability research catch up to model capability

441e85161Claim

Museums should prioritize high-fidelity multimodal capture of artworks, beyond photography

441e85161Claim

Art and cultural data are the most important frontier for AI research

441e85161Claim

MIT CSAIL researchers Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab described weight-space programming

Microsoft and Microsoft Research introduced environment-probing curation, which gives agent memory curators read-only access to live environments, nearly doubling Copilot benchmark task success and halving inference costs.

World Labs unveiled Atlas, a multimodal world model that generates and reconstructs 3D environments

Google DeepMind released its Genie 4 AI world model in research preview for trusted testers

AI research organizations should open-source their underlying training infrastructure

Automated AI research poses an unacceptable risk of losing control to superhuman systems

Physics-aware digital simulations are insufficient for training real-world robots

Governments should have the authority to pause automated AI research

Automating AI research will trigger an intelligence explosion

Governments should mandate oversight of AI R&D automation

Elite universities stifle technological innovation

AI safety research should be conducted independently of commercial frontier labs

World models represent a more viable path to advanced AI than large language models

Generative AI world models will render traditional video game engines obsolete

AI labs should dedicate a larger share of compute to safety research

Frontier AI companies should grant independent evaluators permanent, employee-level access

Pacing would let interpretability research catch up to model capability

Museums should prioritize high-fidelity multimodal capture of artworks, beyond photography

Art and cultural data are the most important frontier for AI research

AI benchmark results must be verified by independent third parties