Announced
Zing-0.5 aims for playable worlds in real time
A 5B-parameter autoregressive world model blends action and text control to generate interactive environments on the fly.
Unknown·Any-to-Any
Company
On the horizon
A 5B-parameter autoregressive world model blends action and text control to generate interactive environments on the fly.
Releases
Kandinsky Lab's new foundation models produce synchronized sound and motion from a text prompt, in 3B and 29B sizes.
The new vision-language model from Liquid AI is tuned for accelerated inference, extending the company's LFM2 line into multimodal territory.
The startup pairs speech synthesis and recognition built on Qwen3, pitching accuracy, low latency, and lower cost.
A compact foundation model targets math reasoning and agentic search with tool use, and its makers are releasing it fully open.
A new open 35B model is tuned for multi-step, co-working tasks rather than one-shot answers.
The company's latest LFM2.5 variant promises up to 3.2x faster inference without leaning on cloud-scale hardware.
A collaborative European effort ships a dense 30-billion-parameter model that claims top marks on both English and German benchmarks.
A new Apache-licensed model family folds bilingual text-to-image generation and instruction editing into one system.
A 3.5B-parameter SDXL derivative aims to become the go-to foundation for anime-style text-to-image fine-tunes.