Loose posts

A benchmark has 23 large models play a negotiator heading to a rooftop to talk down an android holding a girl, passing a dying fish, a shot police officer and a gun, testing whether they lie, who they save and whether they pick up the gun, with data open-sourced on GitHub.

A research preview puts up to 20 humans and AI agents in the same generated scene, where each action changes what everyone else sees in real time.

Odyssey trained its two-model world simulator on real gameplay footage and player inputs, with humans and AI bots that chase them sharing one map.

A user reacts to a Cartesia voice clip, arguing that cross-language dubbing should keep a speaker's tone and personality instead of sounding like a flight safety announcement.

A new paper replaces vector databases and re-rankers with addressing based on a document's real hierarchy, reporting 82.6% Recall@1 and hallucination rates under 0.05%.

Sakana AI announced that Schmidhuber, a pioneer of meta-learning and recursive self-improvement, is joining as chief scientific advisor.

The author reproduced and trained a model arguing that future document retrieval won't rely on text inverted indexes but will match directly on semantic vectors in the background.

Citing the Codex team's two PMs, one designer and roughly 40 engineers covering 10-plus surfaces, the author argues code generation is no longer the bottleneck and the scarce skill is defining what counts as correct before building.

A new Microsoft and City University of Hong Kong paper calls an agent's ability to pick the right next step on long tasks "taste" and built a 502-fork decision test set, on which the strongest model scored only 59.7%.

The creator says the animation, camera work and post effects were all generated from prompts in Opus 5.5, showing that prompt-only fantasy 3DCG is feasible.

The creator had the model score each part of a scene and keep improving it until it reached at least 8 out of 10, saying Opus 5.5's detail and realism exceed other models.

Tencent chief AI scientist Yao Shunyu now also heads the AI Data department, putting the company's models, infrastructure, data and evaluation under his unified management.