distilling misaligned foundation models for lightweight scientific forecasting
a new method extracts useful knowledge from large time-series models that don't fit scientific data, creating small, fast forecasters for sensor networks.
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a new method extracts useful knowledge from large time-series models that don't fit scientific data, creating small, fast forecasters for sensor networks.
aia new model shows llm agents have hidden internal beliefs that shape group decisions, explaining how confidence can exceed initial levels.
aia new policy framework extends beyond permit/prohibit to handle obligations, waivers, and conflict resolution for llm-driven agents.
aiorbital ai data centers promise abundant solar power and cooling but must overcome radiation, heat rejection, and high maintenance costs.
aiai inference startup baseten is reportedly finalizing a $1.5 billion funding round at a $13 billion valuation, just five months after its last mega-round.
aiaura iteratively learns human-consistency signals to audit llm-as-a-judge decisions with minimal human verification.
aiinformation lattice learning can be interpreted as a method for learning the structure of probabilistic graphical models by projecting probability distributions onto partition lattices and lifting rules back.
aidatasette apps lets you host custom html and javascript applications inside datasette with secure sql query access.
ailearn how lateral, semi, and anti joins solve problems that inner and left joins cannot handle cleanly.
aielastic agrees to acquire ai debugging startup deductiveai for up to $85 million to enhance its observability platform.
aia new forecasting algorithm achieves optimal regret for both general and smooth proper losses, overcoming previous limitations in u-calibration.
aiopenai adds ai pioneer noam shazeer and policy expert dean ball to its team as it prepares for a public offering.
aisnap creates separate company dotmo to build interactive ai gaming models, citing high internal costs.
aiferc fast-tracks data center grid links, amazon eyes selling trainium chips, and research agents leak private data through web queries.
aiferc orders grid operators to fast-track data center connections, addressing ai infrastructure delays.
aiamazon web services is exploring selling its trainium ai chips directly to other companies, potentially challenging nvidia's dominance.
aimosaicleaks shows that deep research agents often expose private information when they search the web, and training them to be better at tasks makes the leakage worse.
aithe new york startup uses medal's 2 billion yearly gameplay videos to train embodied ai agents in spatial-temporal reasoning, attracting big-name investors.
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