GWM Worlds 2 is presented as a “broader world-model” aimed at interactive, playable environments rather than only software interfaces. The demo centers on a playable world model under the GWM Worlds 2 label. It shifts the focus from interface tooling to creating world-model-based experiences you can interact with.
Subquadratic launched SubQ Snap, a decision model that it claims can process up to 384,000 tokens per request and beat Jev’s per-decision context limit by 12x. Snap is priced at $0.05 per million input tokens, with no output charge. The larger context window is intended to let AI agents make decisions using more complete codebases and documents in a single step, reducing the need for chunking and some intermediate retrieval steps.
Google DeepMind and Google Cloud will provide up to 200 European scientific researchers direct access to its frontier AI models. The program includes $3 million in compute credits. As a result, selected researchers can use tools including AlphaFold 3 and AlphaEarth to work on projects like extreme weather prediction and molecular mapping faster.
Google launched Gemini 4 Argon for developers and enterprises through API and AI Studio/AI Ultra, plus for consumers via Google apps and Search AI Mode, and also rolled it out to partners for trials. The model is priced at $2 per million input tokens and $10 per million output tokens at launch. Access and pricing shift as paid users and enterprise developers can start using Argon immediately across Google’s platforms, with some programs expanding access to additional partners and a free 6-month high-usage tier for 10,000 scientists.
HiRO-ACEv2 updated Ai2’s HiRO-ACE climate emulator to better downscale coarse simulations into 3 km global weather fields, including rarer extremes. It can generate global 3 km climate data at about 1/300th the cost of X-SHiELD. As a result, researchers can produce multiple 10-year sequences of high-resolution rain, wind, and pressure with higher extreme-event accuracy, with future work extending it to warmer or historical climates.
Neura Robotics launched Neuron AI, its own A.I. model for controlling robots using vision plus touch, hearing, and memory. The model was trained entirely in Germany. Neura says customers can train it via Neuraverse and roll out new skills across fleets, aiming to reduce dependence on major U.S. robotics model providers.
OpenAI cancels a new model on the eve of its developer conference amid safety fears. The cancellation of that new model is the key change. As a result, the company shifts focus toward a more business-oriented approach to agents while facing ongoing safety and identity concerns.
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