Models

Meta released Muse Glimmer, a 30B-parameter open-weight model distilled from Muse Spark for local agent workflows, alongside a Zuckerberg essay on open-source AI.

Alibaba made its new flagship Qwen3.8-Max, a 2.4 trillion-parameter multimodal model, broadly accessible ahead of an open-weights release, sending its Hong Kong-listed shares up 7 percent.

OpenAI cut GPT-5.6 Luna prices 80% and Terra prices 20%, saying the model itself helped rewrite production code to lower serving costs.

Moonshot AI's Kimi K3, priced far below Western rivals, triggered a Friday selloff in Chinese AI and global chip stocks before demand forced a subscription pause.

Thinking Machines Lab shipped its first model, Inkling, an open-weight 975-billion-parameter system that tops US open-weight benchmarks but still trails China's leading models.

Google's flagship AI model missed its promised June rollout after coding performance fell short internally, and Alphabet shares dropped 4.4% on the report, erasing about $200 billion in market value.

NVIDIA's open-weight TwoTower model reuses a frozen Nemotron backbone and trains only a denoiser tower, reaching 2.42x faster generation at 98.7% of baseline quality.

Meta's first in-house AI image generator let users @-mention any public Instagram account to remix their photos; CAA and SAG-AFTRA opposition forced a reversal within days.

OpenAI's new full-duplex voice models listen and speak at once and hand complex queries to GPT-5.5, replacing Advanced Voice Mode in ChatGPT.

OpenAI moved its GPT-5.6 model family to general availability on July 9, after federal reviewers cleared the release that had restricted Sol, Terra, and Luna to trusted partners.

Mistral AI has unveiled Robostral Navigate, its first robotics model: an 8-billion-parameter navigation system that guides wheeled, legged, and flying robots with one RGB camera and language instructions, scoring 76.6% on the R2R-CE benchmark in unseen environments.

SpaceXAI's Grok 4.5, trained alongside Cursor, is priced at $2 per million input tokens and $6 per million output tokens; Musk calls it 'an Opus-class model, but faster, more token-efficient and lower cost.'