Robots need a testbed before they need more data
Ai2's ToyBlocks gives robot learning a controlled world with 85,336 demonstrations. A compact policy beats generative backbones. And a new method infers hidden interiors from collisions.
26 stories, 114 Manifests cited.
Ai2's ToyBlocks gives robot learning a controlled world with 85,336 demonstrations. A compact policy beats generative backbones. And a new method infers hidden interiors from collisions.
Four papers and one analysis put reinforcement learning under the microscope: it forgets old skills, it barely beats good supervised fine-tuning on one benchmark, and new methods for rubrics and agent training push it forward anyway.
Benchling's new benchmark finds open-weight models rarely refuse hazardous biology requests. A chemistry audit finds the benchmarks themselves are confounded. And a post-training run shows values are one fine-tune away.
Databricks wants teams to read shared tables in place. Snowflake can now query Databricks tables directly. The week's data news is that the copy is the problem.
FrontierCUA's best model passes 25% of enterprise workflows. OpenFrontiers finds closed-book rediscovery is rare. And a math modeling bench checks answers against Lean 4 proofs.
Heavy AI users already spread work across a median of six model families. OpenRouter's rebuilt router picks the model per request. And a new framework warns that even cross-model collaboration may be fooling itself.
GC AI now serves more than 2,200 corporate legal departments and beats ChatGPT-5.5 on a legal benchmark. GenieAI's specialist agents pass 11 of 11 contract checks. And Harvey shows the real work is renewals.
A steel model that looks great on random splits collapses on new steel families. An energy benchmark run live shows grid operators still beat foundation models. And a volatility method improves every comparison it was tested on.
Five preprints in one week give diffusion language models the pieces autoregressive models already had: a way to do RL, a way to fix their own mistakes, and a way to decode in parallel without losing accuracy.
A 320B mixture-of-experts model needs 18 GB of weight movement per token. Testing every serving configuration can take 25,000 GPU-hours. The week's inference news is about the bottleneck, not the model.
A motor-decoding framework trains on behavior alone. An EEG foundation model needs only linear probing. And sleep staging hits 0.967 AUC. The brain-signal stack is getting the foundation-model treatment.
Google found coding agents get distracted by TODO comments in 913,000 sessions. GenieAI runs agents on escalation rules. Zenity, Aria, and SAS all say the same thing: design the stop, not just the go.
Revenue grew 14x while serving compute grew 2.3x. The filing reframes the AI trade around efficiency, just as tech stocks had their worst day since June.
Anthropic lets agents reorganize memory in idle time. A new method compresses tool output into latent tokens. And enterprises are learning that the context layer needs governance, not just retrieval.
Franklin Resources, Plains All American Pipeline, Lifetime Brands, Calumet and Global Partners all sent cash to shareholders or creditors. The message is about what they did not spend it on.
The Bank of Russia's retail opening and OFAC's designations under Operation Economic Outcast show the same asset being pulled into the regulated system and pushed out of the illicit one.
The quarter's filings show money rotating toward AI-linked demand and alternatives, and away from consumer spending and legacy managers.
A slower AI buildout means less corporate bond issuance, weaker growth and lower inflation — and the market noticed before the week was out.
An 8-1 vote for a half-point rise, a jobs report that beat forecasts, and a dollar that rises with every equity fall — the rate story has flipped from cuts to hikes.
The midterm results accelerated a selloff that started earlier, and the market's answer so far is to favour AI capacity that already exists over capacity still to be built.
One lab's efficiency gains, a debated $1.2–2 trillion valuation, a warning about moats and a new word for the selloff: FOGO.
A GLP-1 study, a national burden analysis, a blood-count marker and a heart-failure staging test agree: the risk is visible early. The system still acts late.
A $23 million extension in Washington, a new GM in St. Louis, a hitting coach out in Los Angeles and two staffs rebuilt: the week's moves were about who decides.
A $73 million crime grant, a record $49.75 million landlord settlement, a $1.25 million kickback case and an $80.5 million drug seizure landed in the same week.
Minnesota picked its House leaders, New York moved an AI liability bill, Arkansas proposed a $6.97 billion budget and South Dakota began its transition.
From Himalayan slopes to the Mekong delta, the new instruments work. The honest part is how precisely their limits are now stated.