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2026-02-13

vLLM 首日支持 MiniMax M2.5:SWE-Bench 80.2%,速度媲美 Opus 4.6

vLLM 宣布首日支持 MiniMax M2.5 模型,该模型在 SWE-Bench Verified 达 80.2%、BrowseComp 达 76.3%,基于 20 万+真实环境 RL 训练,推理速度比 M2.1 快 37%,已在 NVIDIA GPU 上验证。

大模型
@vllm_project 阅读 →

通义千问发布 AI Slides:Qwen3 Agent + Qwen-Image 2.0 驱动智能 PPT 生成

阿里通义千问推出 AI Slides 工具,基于 Qwen3 Agent 和 Qwen-Image 2.0,支持从简单想法、长文本或文档一键生成精美演示文稿,自动完成调研、结构组织和视觉设计。

产品发布
@Alibaba_Qwen 阅读 →

Kimi 推出 Allegro 计划:1T 参数多模态 K2.5 模型全面开放

Kimi 发布 Allegro 计划,所有套餐均可使用完整的 1T 参数原生多模态 K2.5 模型,不再因付费等级限制模型能力,支持 Agent 重度使用场景。

大模型
@Kimi_Moonshot 阅读 →

Google DeepMind:Project Genie 构建 AI 生成的虚拟世界

Google DeepMind 展示了 Project Genie 生成的虚拟世界,用户可以通过描述梦想场景,由 AI 自动构建可探索的 3D 世界。

研究
@GoogleDeepMind 阅读 →

Anthropic:任命前微软 CFO Chris Liddell 加入董事会

Anthropic 宣布 Chris Liddell 加入董事会,他拥有 30 年领导经验,曾任微软和通用汽车 CFO,以及特朗普政府副幕僚长。

企业动态
@AnthropicAI 阅读 →

Kimi:开源推理框架 Mooncake 诞生于月之暗面与清华合作

Kimi (月之暗面) 分享 Mooncake 开源项目的起源故事,该框架源于与清华大学的合作研究,旨在解决大规模模型服务中的内存墙问题,已发展为社区驱动的项目。

研究
@Kimi_Moonshot 阅读 →

Figure AI:展示接近人手灵活度的机器人手部能力

Figure AI 发布视频展示其机器人手部操控能力,目标是达到与人手同等的灵活性和精细度。

机器人
@Figure_robot 阅读 →

OpenAI:GPT-5.2 在理论物理中推导出新成果

OpenAI 宣布 GPT-5.2 在理论物理领域推导出新结果,与普林斯顿高等研究院、范德堡大学、剑桥和哈佛等机构合作发表预印本,证明胶子相互作用在特定条件下可以发生。

研究
@OpenAI 阅读 →

宇树科技:具身智能模型已在自家工厂实际部署制造机器人

宇树科技展示基于 UnifoLM-X1-0 具身 AI 模型的工厂实际部署场景,让 AI 模型直接参与机器人生产制造,实现 AI 造机器人。

机器人
@UnitreeRobotics 阅读 →

Anthropic:与 CodePath 合作,将 Claude 带给 2 万+大学生

Anthropic 宣布与美国最大的大学计算机科学项目 CodePath 合作,将 Claude 和 Claude Code 引入社区学院、州立大学和 HBCU 的两万多名学生。

大模型
@AnthropicAI 阅读 →

Elon Musk:比我能想象的最糟噩梦还要糟糕

Elon Musk 在推文中发表感慨,称当前情况比他能想象到的最坏噩梦还要糟糕,引发广泛关注,浏览量超 1290 万。

行业
@elonmusk 阅读 →
2026-02-12

[D] The AI training market is broken. Here's why.

<!-- SC_OFF --><div class="md"><p>$10.5B industry, yet 94% of companies say employees lack AI skills (Gartner 2025).</p> <p>Why are we selling courses when we need assessments?</p> <p>On one hand there's providers that offer courses for up...

企业动态
Reddit r/MachineLearning 阅读 →

[D] Opinion required: Was Intelligence Just Gradient Descent All Along?

<!-- SC_OFF --><div class="md"><p>In medieval philosophy, thinkers debated whether intelligence came from divine reason, innate forms, or logical structures built into the mind. Centuries later, early AI researchers tried to recreate intelligence through symbols and...

研究
Reddit r/MachineLearning 阅读 →

[P] Graph Representation Learning Help

<!-- SC_OFF --><div class="md"><p>Im working on a Graph based JEPA style model for encoding small molecule data and I’m running into some issues. For reference I’ve been using this paper/code as a blueprint: <a...

研究
Reddit r/MachineLearning 阅读 →

The Evolution of Categorization During the era of AI Programming [D]

<!-- SC_OFF --><div class="md"><p>TL;DR -</p> <p>Hypothetically If the majority of code written is eventually generative, does this mean that the field of categorization will stagnate? If yes, does this have real implications; what if the future bottle neck...

观点
Reddit r/MachineLearning 阅读 →

[D] CVPR Score stats

<!-- SC_OFF --><div class="md"><p>Are the stats for the scores in paper copilot weighted by confidence?</p> <p>FYI - current CVPR stats: <a...

研究
Reddit r/MachineLearning 阅读 →

[D] Is a KDD publication considered prestigious for more theoretical results?

<!-- SC_OFF --><div class="md"><p>I do work at the intersection of ML and exact sciences and have some quite technical results that I submitted to KDD because they had a very fitting new AI for science track and all other deadlines were far away. Slightly hesitating now...

研究
Reddit r/MachineLearning 阅读 →

[P] A library for linear RNNs

<!-- SC_OFF --><div class="md"><p>Hi everyone, in the past few months, a few of my friends and I have developed this library containing implementation of several popular Linear RNNs, with accelerated kernels for inference and training (similar to mamba). All in PyTorch....

开源
Reddit r/MachineLearning 阅读 →

[D] Conformal Prediction vs naive thresholding to represent uncertainty

<!-- SC_OFF --><div class="md"><p>So I recently found out about conformal prediction (cp). I’m still trying to understand it and implications of it for tasks like classification/anomaly detection. Say we have a knn based anomaly detector trained on non anomalous samples....

观点
Reddit r/MachineLearning 阅读 →

[P] ML training cluster for university students

<!-- SC_OFF --><div class="md"><p>Hi! I'm an exec at a University AI research club. We are trying to build a gpu cluster for our student body so they can have reliable access to compute, but we aren't sure where to start.</p> <p>Our goal is to...

产品发布
Reddit r/MachineLearning 阅读 →

[D] We scanned 18,000 exposed OpenClaw instances and found 15% of community skills contain...

<!-- SC_OFF --><div class="md"><p>I do security research and recently started looking at autonomous agents after OpenClaw blew up. What I found honestly caught me off guard. I knew the ecosystem was growing fast (165k GitHub stars, 60k Discord members) but the actual...

研究
Reddit r/MachineLearning 阅读 →

Launch HN: Omnara (YC S25) – Run Claude Code and Codex from anywhere

Hey y’all, Kartik, Ishaan, and Christian from Omnara (<a href="https:&#x2F;&#x2F;www.omnara.com&#x2F;">https:&#x2F;&#x2F;www.omnara.com&#x2F;</a>) here. We’re building a web and mobile agentic IDE for Claude Code and Codex that lets you run and interact with coding agents from anywhere. Omnara lets...

产品发布
Hacker News 阅读 →

Anthropic raises $30B in Series G funding at $380B post-money valuation

Anthropic raises $30B in Series G funding at $380B post-money valuation

企业动态
Hacker News 阅读 →

Tell HN: Ralph Giles has died (Xiph.org| Rust@Mozilla | Ghostscript)

It&#x27;s with much sadness that we announce the passing of our friend and colleague Ralph Giles, or rillian as he was known on IRC.<p>Ralph began contributing to Xiph.org in 2000 and became a core Ghostscript developer in 2001[1]. Ralph made many contributions to the royalty-free media ecosystem,...

产品发布
Hacker News 阅读 →

An AI agent published a hit piece on me

Previously: <i>AI agent opens a PR write a blogpost to shames the maintainer who closes it</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=46987559">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=46987559</a> - Feb 2026 (582 comments)

行业
Hacker News 阅读 →

GeForce NOW Turns Screens Into a Gaming Machine

The GeForce NOW sixth-anniversary festivities roll on this February, continuing a monthlong celebration of NVIDIA’s cloud gaming service. This week brings even more reasons to join the party, as GeForce NOW launches on a new platform with support for Amazon Fire TV devices, and eight new games to...

产品发布
NVIDIA Blog 阅读 →

NVIDIA DGX Spark Powers Big Projects in Higher Education

At leading institutions across the globe, the NVIDIA DGX Spark desktop supercomputer is bringing data‑center‑class AI to lab benches, faculty offices and students’ systems. There’s even a DGX Spark hard at work in the South Pole, at the IceCube Neutrino Observatory run by the University of...

行业
NVIDIA Blog 阅读 →

Leading Inference Providers Cut AI Costs by up to 10x With Open Source Models on NVIDIA Blackwell

A diagnostic insight in healthcare. A character’s dialogue in an interactive game. An autonomous resolution from a customer service agent. Each of these AI-powered interactions is built on the same unit of intelligence: a token. Scaling these AI interactions requires businesses to consider whether...

大模型
NVIDIA Blog 阅读 →

Code, Compute and Connection: Inside the Inaugural NVIDIA AI Day São Paulo

The worldwide tour of NVIDIA AI Days — bringing together AI enthusiasts, developers, researchers and startups — made its latest stop in São Paulo, Brazil.

研究
NVIDIA Blog 阅读 →

Gemini 3 Deep Think: Advancing science, research and engineering

Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges.

研究
DeepMind Blog 阅读 →