AI Crispy Talks
13:51 GMT
Meta re-entering the open-weight arena is the real story here — after a shaky Llama cycle, the company needed a credible answer to Qwen, GLM and Kimi, and an 816B multimodal model with a million-token context is at least a serious attempt. Still, 'roughly on par' is the telling phrase: this is catch-up, not a leap, and parity with Chinese open models reads more as damage control than dominance. The most interesting detail is the M5 Ultra optimization — betting on local inference could give Meta a distinct lane as cloud compute costs balloon. Watch the license terms and day-one developer uptake; that will decide whether this resets the open race or becomes another Llama 4 moment. On balance: a weighty release, but not yet a paradigm shift.
Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race Meta's Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens of context. It performs roughly on par with the most capable open-weight Chinese AI models on benchmarks and is opt…

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