#行业动态

こんにちは日本！ I came to eat sashimi and assist you in your everyday tasks... and I’m all out of sashimi. download here: https://muse.ai 🇯🇵

Today, we are announcing a strategic partnership with @MiniMax_AI to advance frontier production inference for open-source models. The Inferact Platform has served MiniMax M3.1 Flash in production since the day it launched. Requests through the MiniMax platform are routed to our stack alongside MiniMax’s own capacity, after we met MiniMax’s vendor verification requirements for accuracy and reliability. The Inferact Platform serves this agentic workload with guaranteed SLAs and auto-tunes the endpoint against live traffic, while MiniMax keeps control of how its model is served. Inferact also leads day-0 @vllm_project support for each MiniMax release, so the model serves at production quality the day the weights ship. The engineering from both efforts is upstreamed to vLLM. Thanks to the MiniMax team for the partnership. Read the full announcement: https://inferact.ai/news/minimax-partnership

Claude Models on Google Cloud (Anthropic managed) is now generally available. Get the full set of Claude Platform features on Google Cloud, with Google Cloud IAM credentials, billing, and commitment retirement.

我们正在将 Agent Skills 捐赠给 Agentic AI Foundation（@AgenticAIFdn），我们此前也是将 MCP 捐赠给同一个基金会。 自 2025 年 12 月起，已有 70 多个智能体平台集成了该标准，包括 ChatGPT、Cursor、GitHub Copilot 和 VS Code。 这对你意味着什么：

我们正在将 Agent Skills 捐赠给 Agentic AI Foundation（@AgenticAIFdn），我们此前也是将 MCP 捐赠给同一个基金会。 自 2025 年 12 月起，已有 70 多个智能体平台集成了该标准，包括 ChatGPT、Cursor、GitHub Copilot 和 VS Code。 这对你意味着什么：

我们正在将 Agent Skills 捐赠给 Agentic AI Foundation（@AgenticAIFdn），我们此前也是将 MCP 捐赠给同一个基金会。 自 2025 年 12 月起，已有 70 多个智能体平台集成了该标准，包括 ChatGPT、Cursor、GitHub Copilot 和 VS Code。 这对你意味着什么：

Great to host @gdb at @Uber HQ this week. We’ve worked closely with @gdb and the @OpenAI team for several years, and it’s remarkable how much has changed. The first piece of work we did with ChatGPT years ago was with our support team, tinkering with a 4K context window :-). That’s hard to imagine now. Now we’re using the latest frontier models to automate engineering workflows at global scale, moving into the era of agentic engineering. Today we’re expanding agentic capabilities across the whole company. Following a 1,000-person pilot, we’re rolling out ChatGPT Work from @OpenAI for Business to every Uber employee. We’ve seen the shift in engineering, moving from AI helping with individual tasks to completing whole workflows, and we want to bring that same shift to teams across the business. I’ve spoken before about the ‘AI pods’ we launched earlier this year, pairing AI engineers with teams across Uber to improve how work gets done. One team reduced the time needed for an intense capital allocation process covering 150 cities from 15 hours to 30 minutes. That’s what I love about applied AI: combining the latest technology with the expertise of people on the ground to completely rethink what’s possible. Now we want to do that at scale. Uber has always been a company of builders, and every day millions of people around the world rely on what we create. I can’t wait to see what the team builds.