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.
author
baris
Baris operates SummarizedData and maintains its sources, publishing rules, and automation. Read the editorial process.
hidden anchors in multi-agent llm deliberation
a new model shows llm agents have hidden internal beliefs that shape group decisions, explaining how confidence can exceed initial levels.
deontic policies for agentic ai governance
a new policy framework extends beyond permit/prohibit to handle obligations, waivers, and conflict resolution for llm-driven agents.
space data centers face harsh realities
orbital ai data centers promise abundant solar power and cooling but must overcome radiation, heat rejection, and high maintenance costs.
baseten raises $1.5b at $13b valuation
ai 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.
adaptive uncertainty-aware refinement for llm judge auditing
aura iteratively learns human-consistency signals to audit llm-as-a-judge decisions with minimal human verification.
information lattice learning as graphical model structure learning
information 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.
datasette apps: sandboxed html apps with sql access
datasette apps lets you host custom html and javascript applications inside datasette with secure sql query access.
lateral, semi, and anti joins in sql
learn how lateral, semi, and anti joins solve problems that inner and left joins cannot handle cleanly.
elastic buys deductiveai for up to $85m
elastic agrees to acquire ai debugging startup deductiveai for up to $85 million to enhance its observability platform.
u-calibration algorithm adapts to smooth losses
a new forecasting algorithm achieves optimal regret for both general and smooth proper losses, overcoming previous limitations in u-calibration.
openai hires shazeer and ball before ipo
openai adds ai pioneer noam shazeer and policy expert dean ball to its team as it prepares for a public offering.
snap spins off ai video team into dotmo
snap creates separate company dotmo to build interactive ai gaming models, citing high internal costs.
daily brief: 2026-06-18
ferc fast-tracks data center grid links, amazon eyes selling trainium chips, and research agents leak private data through web queries.
data centers get fast lane to grid
ferc orders grid operators to fast-track data center connections, addressing ai infrastructure delays.
amazon in talks to sell trainium ai chips
amazon web services is exploring selling its trainium ai chips directly to other companies, potentially challenging nvidia's dominance.
research agents leak private data through web queries
mosaicleaks 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.
general intuition seeks $300m for ai agents that learn from gameplay
the new york startup uses medal's 2 billion yearly gameplay videos to train embodied ai agents in spatial-temporal reasoning, attracting big-name investors.