Niantic Spatial and Flexion, on NVIDIA software, show a robot trained in a scan of an office. We found no real-world trial count in their pages, and list seven asks.
A video asks if Next-Concept Modeling kills LLMs. Its main figures match the paper, but every wall-clock test is against diffusion models, at about 100M parameters.
We checked three October 2026 AI videos against their sources. Most figures match. The slips are in what each is attached to: a setting, a model, a yardstick.
An October 2026 paper trains small agents to match a big model's decisions instead of its words. Decision models point the same way. What it means if you run agents.
State of Thought reports a 62.6% token cut with an accuracy gain, and no seeds, run counts or error bars on either. Four questions worth asking of any paper in this band.
We checked a popular explainer against the paper it covers. Three claims hold, two do not, and both failures are in the title. A short method for reading AI claims.