The Royal Society has published a special issue on world models in natural and artificial intelligence, tying the concept to AI capabilities and limits. The issue appears in Philosophical Transactions of the Royal Society A, a journal first launched in 1665. The focus shifts toward explaining why language-pattern learning may not equal causal understanding and toward studying self-state prediction and AI approaches closer to artificial life.
Fly Language Model (FLM) combines the full retained MaleCNS v1.0 fruit fly connectome with a frozen LiquidAI LFM2.5-1.2B-Instruct backbone by training only a 278,528-parameter reservoir readout. The fly readout reduced loss by 0.0222 nats per token (from 3.98 to 3.90) versus the frozen backbone, but a direct-input no-graph control did better in all 3 seeds, and the fly graph’s residual added no supported fly-specific gain. As a result, the study concludes the connectome wiring participates but does not improve outcomes beyond simpler controls, and context length still comes from the frozen backbone rather than long memory in the reservoir.
The Algorithmic Bridge·1 month ago·
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Millennium Pastimes argues that AI systems have started solving parts of the Millennium Prize-style math problems, which changes how mathematicians value proofs and the struggle behind them.
Anthropic CEO Dario Amodei urged AI labs and governments to slow the pace of frontier AI development while adding tighter oversight. He proposed independent monitoring of models, industry regulation, and global regulation. As a result, Anthropic says it will pursue the plan through third-party evaluation and alignment time, and wants governments to require peer frontier firms to comply.
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