
MBZUAI’s IFM releases open 29B PAN 2 world model
Apache 2.0 weights and code ship; IFM reports 34% full-plan completion, ahead of MiniMax-H3 on multi-step tasks.
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Apache 2.0 weights and code ship; IFM reports 34% full-plan completion, ahead of MiniMax-H3 on multi-step tasks.
PrimeSim is an action-conditioned multiview world model simulator that runs at 10.1 FPS and transfers to held-out platforms after 100 to 200 gradient steps.

The Israeli startup 42AI has raised $62.5 million to develop a transformer-based world model that predicts human decision probabilities based on psychological tendencies.
Raises gpt-5-mini accuracy from 18.20% to 46.70% on ASAP2.0 exceeding baseline by 22.60 points.
Epsilon 4/255 perturbations spoof block pose in 73-95% of scenes and drop LeWorldModel planning success from 87% to 32%.
The Hacker News post links to the tinyworldformer GitHub repo and had 42 points and 4 comments.
The title says Genie 4 includes native audio, but the captured page is only a cookie notice.

Only select testers have it now; Google AI Ultra subscribers and early Gemini API partners are due next, with SynthID on outputs.

Trusted testers get it now; Google AI Ultra and Gemini API partners follow in the coming weeks.
A research preview goes to trusted testers first, then Google AI Ultra subscribers in Project Genie and early Gemini API partners.
Pretraining spans 23 datasets and about 553.5 million frames, then adapts to target robots without a shared action space.
Finetuned from Qwen3.5-4B, it matched held-out terminal output on 77.9% of programs versus 41.1% for larger prompted models.
The 8B diffusion model uses action-aware causal attention and a prompt enhancer; authors release weights, code, and benchmarks.
Point supervision on VPM-Data and VP-WorldBench improves video fidelity, 3D motion, and robot manipulation success.
A delta-VAE encodes only changes from a static reference, cutting tokens for auxiliary views.
DSP uses supervised play to collect robot data, plan with a world model, and match RL with far less interaction.
OneWM shows unified causal training lets world modeling and action learning improve each other.
Predicted states can be decoded under predicted or specified cameras without per-frame scale alignment.
SafeDriveVLA uses world-model dreaming to refuse unsafe driving instructions, cutting collisions from 60 to 38.
WorldCast ranks 12 models on visual world-state prediction, with GPT-Image-2.5 scoring 72.8.
A distilled 9B student gained 9.8 points over the native baseline and cut estimated teacher API cost by 54.8%.
PINT coordinates vision-language, video, and action models via shared Predictive Intent for stronger robot manipulation.

Odyssey opened a free preview of Odyssey-3, a 14-billion-parameter world model for real-time interactive environments.
WOVEN trains multimodal LLMs on visual transitions, lifting 22 of 26 external benchmarks by up to 27.3 points.
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