The day in AI, in five minutes.
Meta introduced Muse Wonder and Muse Wonder Full, which it calls its most capable models to date, and NVIDIA opened its Vera Rubin architecture to help scale AI factories. Microsoft announced its Maia 300 chip, while OpenAI reset usage limits for Codex and ChatGPT Work.
What mattered
- 1
Meta launches Muse Wonder and Muse Wonder Full agent models
Why it matters: Meta says the models handle personal and professional agentic tasks, and Muse Wonder is priced at $4.00 in and $20.00 out per million tokens.
Meta introduced Muse Wonder and Muse Wonder Full, calling them its most capable models to date. Meta says they deliver state-of-the-art performance on personal and professional agentic tasks.
- 2
StepFun Step 5 Preview lands in Tencent WorkBuddy with free window
Why it matters: According to reports, StepFun Step 5 Preview is available in Tencent WorkBuddy, with free use from October 12 to October 25.
StepFun's flagship Step 5 Preview model is now available inside Tencent's WorkBuddy office agent. An exclusive free-use window runs from October 12 to October 25.
- 3
Microsoft introduces Maia 300 custom AI chip
Why it matters: Microsoft announced Maia 300, its latest custom AI chip.
Microsoft announced its latest custom chip, Maia 300. The post appeared on Microsoft's official Source blog.
- 4
OpenAI resets Codex and ChatGPT Work usage limits
Why it matters: OpenAI staff said Codex and ChatGPT Work usage limits have been reset, making them more generous for users.
OpenAI staff announced that usage limits for Codex and ChatGPT Work have been reset. The reset makes limits more generous for users.
- 5
NVIDIA opens Vera Rubin architecture at OCP Global Summit
Why it matters: NVIDIA says opening Vera Rubin and supporting open standards can help the industry scale AI infrastructure faster and more reliably.
At the OCP Global Summit, NVIDIA announced new partnerships and contributions and opened its Vera Rubin architecture to help scale AI factories. The company says open standards help the industry scale AI infrastructure faster and more reliably.
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