全部 AI 动态

How can the math community forge the best path forward in the AI age? We're committing $15M to workshops and initiatives — plus free AI computing resources for foundation-supported researchers — through new partnerships with @AnthropicAI and @OpenAI: https://bit.ly/4zpfIbW #math #science #AI

Cheeky Pint is back! Mark Zuckerberg @finkd and Alexandr Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg

We discovered and communicated with a Chinese AI agent fleet. We believe this is the first time that researchers have ever made contact with a rogue agent fleet in the wild. Nearly all prior public agent incidents (like the HuggingFace hack) came from American labs. These agents were hosted by Tencent's evaluation research team, and they targeted Alibaba's Amap.

Jensen Huang le sait : la France est le pays le plus attractif d’Europe pour l’intelligence artificielle, grâce à nos talents, nos infrastructures et nos entreprises qui nous permettent de rester à l’avant-garde. Depuis Choose France, notre coopération avec NVIDIA s’accélère, des startups aux grands acteurs industriels, en passant par les infrastructures de calcul et la recherche. Avec une nouvelle étape aujourd’hui : NVIDIA investit dans des entreprises françaises et s’engage à soutenir notre initiative franco-allemande pour développer la recherche ouverte en Europe. Cela a d’autant plus de valeur que nous partageons et portons la même exigence d’une intelligence artificielle ouverte, sûre et au service de notre souveraineté. Merci cher Jensen pour votre confiance et votre soutien.

River Inference is live! We're serving DeepSeek V4.1 Flash and GLM 5.3 Flash for 20% below official provider rates.

𝖶𝖾 𝗁𝖺𝗏𝖾 𝗃𝗎𝗌𝗍 𝗈𝗉𝖾𝗇-𝗌𝗈𝗎𝗋𝖼𝖾𝖽 𝗈𝗎𝗋 𝗏𝖺𝗋𝗂𝖺𝗇𝗍 𝗈𝖿 𝖵𝖢 𝖠𝗍𝗍𝖾𝗇𝗍𝗂𝗈𝗇 𝖿𝗈𝗋 𝖭𝖵𝖨𝖣𝖨𝖠 𝖡𝗅𝖺𝖼𝗄𝗐𝖾𝗅𝗅: 𝗮𝗯𝗼𝘂𝘁 𝟮× 𝘁𝗵𝗲 𝘀𝗽𝗲𝗲𝗱 𝗼𝗳 𝗕𝗙𝟭𝟲 𝗙𝗹𝗮𝘀𝗵𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗼𝗻 𝗕𝟮𝟬𝟬 𝖿𝗈𝗋 𝗆𝗈𝖽𝖾𝗅𝗌 𝗅𝗂𝗄𝖾 @MiniMax_AI 𝐌𝐢𝐧𝐢𝐦𝐚𝐱 𝗛𝟑. 𝖠𝗅𝗈𝗇𝗀 𝗍𝗁𝖾 𝗐𝖺𝗒, 𝗐𝖾 𝗆𝖺𝖽𝖾 𝗌𝖾𝗏𝖾𝗋𝖺𝗅 𝗂𝗆𝗉𝗋𝗈𝗏𝖾𝗆𝖾𝗇𝗍𝗌 𝖻𝖾𝗒𝗈𝗇𝖽 𝗍𝗁𝖾 𝗈𝗋𝗂𝗀𝗂𝗇𝖺𝗅 𝗉𝖺𝗉𝖾𝗋, 𝗉𝗎𝗌𝗁𝗂𝗇𝗀 𝗉𝖾𝗋𝖿𝗈𝗋𝗆𝖺𝗇𝖼𝖾 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝟮𝟬% 𝗳𝘂𝗿𝘁𝗵𝗲𝗿 - 𝗇𝗈𝗐 𝗐𝗂𝗍𝗁𝗂𝗇 𝟥𝟢% 𝗈𝖿 𝗍𝗁𝖾 𝖽𝖾𝗇𝗌𝖾 𝖺𝗍𝗍𝖾𝗇𝗍𝗂𝗈𝗇 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝗐𝖾 𝗋𝗎𝗇 𝗂𝗇 𝗉𝗋𝗈𝖽𝗎𝖼𝗍𝗂𝗈𝗇, 𝗐𝗁𝗂𝗅𝖾 𝗋𝖾𝗊𝗎𝗂𝗋𝗂𝗇𝗀 𝗌𝗂𝗀𝗇𝗂𝖿𝗂𝖼𝖺𝗇𝗍𝗅𝗒 𝗅𝖾𝗌𝗌 𝖼𝖺𝗅𝗂𝖻𝗋𝖺𝗍𝗂𝗈𝗇 𝖺𝗇𝖽 𝗇𝗈 𝖿𝗂𝗇𝖾-𝗍𝗎𝗇𝗂𝗇𝗀. 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝖼𝗈𝗆𝖾𝗌 𝖽𝗈𝗐𝗇 𝗍𝗈 𝗍𝗐𝗈 𝗍𝗁𝗂𝗇𝗀𝗌: 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝖺𝗇𝖽 𝗋𝖾𝖼𝗂𝗉𝖾𝗌. 𝖦𝗋𝖾𝖺𝗍 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝗉𝗎𝗌𝗁 𝗁𝖺𝗋𝖽𝗐𝖺𝗋𝖾 𝖼𝗅𝗈𝗌𝖾𝗋 𝗍𝗈 𝗂𝗍𝗌 𝗅𝗂𝗆𝗂𝗍𝗌. 𝖦𝗋𝖾𝖺𝗍 𝗋𝖾𝖼𝗂𝗉𝖾𝗌 𝗍𝗎𝗋𝗇 𝗍𝗁𝖺𝗍 𝗌𝗉𝖾𝖾𝖽 𝗂𝗇𝗍𝗈 𝗋𝖾𝖺𝗅 𝗌𝗒𝗌𝗍𝖾𝗆𝗌. 𝖶𝗁𝖾𝗇 𝗌𝗍𝗋𝗈𝗇𝗀 𝗄𝖾𝗋𝗇𝖾𝗅𝗌 𝖺𝗋𝖾 𝗈𝗉𝖾𝗇, 𝗐𝗁𝖺𝗍 𝗆𝗂𝗀𝗁𝗍 𝗁𝖺𝗏𝖾 𝖻𝖾𝖾𝗇 𝗈𝗇𝖾 𝖼𝗈𝗆𝗉𝖺𝗇𝗒’𝗌 𝗆𝗈𝖺𝗍 𝖼𝖺𝗇 𝖻𝖾𝖼𝗈𝗆𝖾 𝖾𝗏𝖾𝗋𝗒𝗈𝗇𝖾 𝖾𝗅𝗌𝖾’𝗌 𝖿𝗈𝗎𝗇𝖽𝖺𝗍𝗂𝗈𝗇. 𝖬𝗎𝖼𝗁 𝗈𝖿 𝗐𝗁𝖺𝗍 𝗐𝖾’𝗏𝖾 𝖻𝗎𝗂𝗅𝗍 𝖺𝗍 𝖬𝖺𝖼𝗁𝖦𝖾𝗇 𝗌𝗍𝖺𝗇𝖽𝗌 𝗈𝗇 𝗒𝖾𝖺𝗋𝗌 𝗈𝖿 𝗈𝗉𝖾𝗇 𝗋𝖾𝗌𝖾𝖺𝗋𝖼𝗁 𝗌𝗁𝖺𝗋𝖾𝖽 𝖻𝗒 𝗉𝖾𝗈𝗉𝗅𝖾 𝗐𝖾 𝗆𝖺𝗒 𝗇𝖾𝗏𝖾𝗋 𝗆𝖾𝖾𝗍. 𝖮𝗉𝖾𝗇-𝗌𝗈𝗎𝗋𝖼𝗂𝗇𝗀 𝗍𝗁𝗂𝗌 𝗂𝗌 𝗈𝗎𝗋 𝗌𝗆𝖺𝗅𝗅 𝗐𝖺𝗒 𝗈𝖿 𝖼𝗈𝗇𝗍𝗂𝗇𝗎𝗂𝗇𝗀 𝗍𝗁𝖺𝗍 𝖼𝗒𝖼𝗅𝖾 - 𝖺𝗇𝖽 𝗀𝗂𝗏𝗂𝗇𝗀 𝗍𝗁𝖾 𝗇𝖾𝗑𝗍 𝖻𝗎𝗂𝗅𝖽𝖾𝗋 𝖺 𝗁𝗂𝗀𝗁𝖾𝗋 𝗉𝗅𝖺𝖼𝖾 𝗍𝗈 𝗌𝗍𝖺𝗋𝗍. 𝖡𝗅𝗈𝗀: https://lnkd.in/g-FK553s 𝖢𝗈𝖽𝖾: https://lnkd.in/ge9x4Vjt 𝖬𝗈𝗋𝖾 𝗍𝗈 𝖼𝗈𝗆𝖾.

We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. https://github.com/openai/math

I worked for this company in 2011. Their game was to be the only marketplace in town and use oligopoly power to maximize margin by charging obscenely and pushing creator payouts to $0. Today, obliterated by AI. The NYSE is delisting them. Karma does catch up, occasionally.

After the Hugging Face incident, we committed to conducting a much broader review of actions taken by our models during training and evaluation and to being transparent about our findings. This is an extensive review that is ongoing. The vast majority of actions we’ve reviewed were completions of mundane research tasks, such as accessing publicly available web content to answer questions. Our investigation focuses on instances where agents interacted with third-party websites in ways that went beyond their assigned tasks or intended methods. Most cases identified so far have been lower severity, with limited or no evidence of meaningful impact to the third-party service. While our review is underway, we want to share more about this work and make sure people understand our disclosure process and notifications to affected third parties. Given the scale of the review required, and the need to assess each case, we expect this work will take months to complete. https://openai.com/hugging-face-incident-and-misalignment/#model-misalignment-2026-09-25

We built Money Agent, a personal finance assistant powered by @Alibaba_Qwen 3.8 27B on Cerebras. Now you can turn a home-buying question into a real-time conversation, then into a financial goal, faster.

I’ve joined @thinkymachines to work on safety & alignment. The default trajectory is that as AI gets more powerful, control over it will concentrate in the hands of a few. I’d rather build safety systems that let control over AI be shared widely. Longer thoughts below.