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.
topic
ai
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.
llm-guided autotuning speeds up pytorch kernel tuning
pytorch's helion dsl uses llms to propose kernel configurations, matching bayesian optimization performance while exploring 10x fewer configs and cutting tuning time by 6.7x.
first in-orbit vision-language model demo on spacecraft
navi-orbital runs a vision-language model on a low earth orbit satellite to classify scenes, describe content, and answer operator questions in plain english.
shared workspace human-ai teams need coordination scaffolding
adding human collaborators to ai teams can hurt performance without structured coordination, but shared memory and approval gates help.
ceo-bench tests ai agents as startup founders
a new benchmark evaluates language model agents on long-horizon business management by simulating 500 days of running a startup.
think beyond lora for fine-tuning
benchmarks show other parameter-efficient fine-tuning methods can beat lora on accuracy and memory, so it pays to test alternatives.