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关注 AI 研究者、开发者与机构的动态
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@gitlawb@gitlawbAI 评分4141 
@googleaidevs@googleaidevsAI 评分2020 从 Google I/O 到一个周末构建出真实世界的解决方案。总是被这个社区的能量所激励!
引用Cerebral Valley (@cerebral_valley)@cerebral_valleyGoogle I/O showed where AI is headed. Our community spent the weekend building it. Builders gathered in San Francisco alongside @GoogleDeepMind to turn the newest Gemini + Gemma capabilities into working products. From multimodal agents and voice interfaces to long-horizon reasoning systems, teams showed us what’s possible with Gemini 3.5 Flash. The winners: Video
@swyx@swyxAI 评分3535 哇——Grace + Blackwell 芯片装进笔记本了。 @Microsoft + @NVIDIA 联手,挑战 Apple Silicon 长达 6 年的全面统治 视频

@OpenAIDevs@openaidevsAI 评分5353 引用OpenAI (@OpenAI)@OpenAIOpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new way to build on Amazon Bedrock with OpenAI through the security, compliance, and governance workflows they already use. This is also the beginning of a broader expansion of OpenAI capabilities on AWS, including future availability for cybersecurity capabilities like Daybreak. openai.com/index/openai-fron…
@OpenAI@openaiAI 评分4444 @sama@samaAI 评分6060 引用The OpenAI Foundation (@FoundationOAI)@FoundationOAIAI is advancing quickly. Society’s ability to manage its risks must advance just as fast. Today we’re sharing our vision for AI Resilience, with more than $130M in initial grants underway across bio-resilience, cyber-resilience, AI model safety, and AI’s impact on young people: openaifoundation.org/news/re… Video
@OpenAIDevs@openaidevsAI 评分2727 @OpenAIDevs@openaidevsAI 评分2828 引用OpenAI Developers (@OpenAIDevs)@OpenAIDevs🤳 Agentic OS for a Phone A voice-first mobile OS. Users talk, agents answer, and they can take action across the phone. cerebralvalley.ai/e/openai-v… Video
@samuelstroschei · XAI 评分2626 Lix v0.6 发布:面向 AI 智能体的可嵌入版本控制系统
Lix v0.6 发布,这是一款面向 AI 智能体的可嵌入版本控制系统。目前该版本已在 Hacker News 上引发关注,但尚无评论。
@togethercompute@togethercomputeAI 评分6060
引用Together AI (@togethercompute)@togethercomputeMiniMax M3 is live and Together AI is powering its inference 🚀 Tomorrow at 6pm PT we're going live on X Spaces with the teams behind the model and the infrastructure to give you a deep dive. nitter.net/i/spaces/1nxeLLDDBEaJX
@kimmonismus@kimmonismusAI 评分00 

引用Chubby♨️ (@kimmonismus)@kimmonismusLet the fun begin!
@geminiapp · XAI 评分1010 Gemini 发布未命名内容
无标题
@Replit@replit精选AI 评分6666 
推荐理由:从单条提示词到网站、移动应用、演示和发布视频,Replit 把创业启动所需产出打包到一个入口,并附带多家创业服务权益。
@Replit@replitAI 评分2525 @kimmonismus@kimmonismusAI 评分4141 引用Nous Research (@NousResearch)@NousResearchWe have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime, which connects Hermes to @Microsoft's security primitives. Watch our feature in the big announcement at Computex: Video
@AYi_AInotes@ayi_ainotesAI 评分2424 @MiniMax_AI@minimax_aiAI 评分3636 价格标签说明了一切 👀 M3 已上线 @aimlapi! 自己去试试吧 😎
引用AI/ML API (@aimlapi)@aimlapiMiniMax M3 is now available on AI/ML API! To test it, we asked several leading models to oneshot Doodle Jump from the scratch. The results ended up looking far closer than the price tags. MiniMax M3: $0.05 Qwen 3.7 Max: $0.08 DeepSeek V4 Pro: $0.10 GPT-5.5: $0.42 Curious which one you'd pick in a blind comparison. We also offer it 50% off for a limited time. Find docs, guides for setting it up & prompt below Video
@twistartups@twistartupsAI 评分3131 一个小型 xAI 团队如何在 3 个月内交付一个最先进的视频模型: 🦾 强大的人才,共同的目标 🤝 每天一次同步 🏗️ 其余时间全在构建 更少的协调,更多的算力,更多的迭代。 视频

@kimmonismus@kimmonismusAI 评分55 
@GeminiApp@geminiappAI 评分2929 @AYi_AInotes@ayi_ainotes精选AI 评分6565 
推荐理由:从芯片参数到生态规则,梳理了 NVIDIA 入局 PC 对 Intel、AMD、苹果和高通各自意味着什么。
@aimlapi@aimlapiAI 评分3535 
@kimmonismus@kimmonismusAI 评分22 @kimmonismus@kimmonismusAI 评分1212 引用Superintelligence. (@getsuperintel)@getsuperintelToday's Newsletter on Superintelligence has just been sent! Today's main article is: "🧠 MiniMax M3 Opens Frontier Agents" In addition: - Hot AI news - Infographs - and much more Subscribe for free - link down below!
@kimmonismus@kimmonismus精选AI 评分6565 引用Qwen (@Alibaba_Qwen)@Alibaba_Qwen👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation. ✅ Multimodal interactive hybrid agent: unified GUI & CLI operation across visual and text tasks ✅ Versatile coding agent & productivity assistant with full-modality input ✅ Visual Agent: perception, reasoning, grounding, and search-augmented QA ✅ Cross-harness generalization across diverse agent frameworks One model. Sees, thinks, codes, acts.🙌🙌 Now available via API on Alibaba Cloud Model Studio. Try it — let us know what you build.😎 🔗🔗⬇️⬇️ Blog:qwen.ai/blog?id=qwen3.7-plus Qwen Studio:chat.qwen.ai/?models=qwen3.7… API:modelstudio.console.alibabac…
推荐理由:官方把 Qwen3.7-Plus 与 GPT-5.4、Opus 4.6 并列对比,读者可据此观察多模态智能体模型的竞争位置。
@LumaLabsAI@lumalabsaiAI 评分1818 RT @DreamLabLA: AI 遇上 VFX。 我们正从编辑像素转向执导结果。这段片段展示了 AI 如何合成并渲染……
@zan2434@zan2434AI 评分3131 引用swyx (@swyx)@swyxThis pod was an incredible gift to the community: not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA, on top of the factual overviews he ALSO came loaded with opinions/predictions: - why he's quitting Videogen for LLMs: video models get most of their intelligence from LLMs, not from scaling video data - why the next frontier for videogen also happens to be video agent models - agentic models trained to orchestrate video models - why deterministic compression (like MP4) is a useless target vs VAE compression - Videomaxxing: if you truly believe in the "Moore's law" of AI/genmedia, then video models become the final boss UI of everything, like Flipbook (below) Video
@googleaidevs@googleaidevsAI 评分3131 从杂乱到清晰。看 @Antigravity 中的并行子智能体整理并重命名数百个营销素材,省去手动文件管理。 视频

@MiniMax_AI@minimax_aiAI 评分3838 餐巾纸草图 → 可玩游戏,仅 $0.028 😳 这正是 M3 为之打造的场景 @atomic_chat_hq
引用atomic.chat (@atomic_chat_hq)@atomic_chat_hqMiniMax M3 turned a napkin sketch into a playable game We handed MiniMax M3 a hand-drawn draft of a Doodle Jump style platformer. It read the elements off the draft, wrote the logic, drew the interface and shipped it as one self-contained HTML game Input: 6,920 tokens Output: 9,933 tokens Cost: $0.028 @MiniMax_AI drops M3 on @huggingface next week Video
@MiniMax_AI@minimax_aiAI 评分4141 杂乱、多模态、普通对话装不下?M3 来搞定 🫡 @happycapyai
引用Happycapy (@happycapyai)@happycapyaiMiniMax M3 @MiniMax_AI is now live on Happycapy 🎉 A major upgrade for agent workflows, especially when the task is messy, multimodal, and too large for a normal chat. Now you can give the agent more context upfront and let it work across everything in one run: • Native multimodal input: PDFs, videos, images, screenshots, and long docs • Strong coding and agent work: useful for repo level debugging, issue tracing, and Connect My Mac tasks • Open weights and about 3x cheaper than Sonnet. Build more, pay less! We put it to the test below 🧵 Video
@DreamLabLA@dreamlablaAI 评分2626 
@kimmonismus@kimmonismus精选AI 评分6767 

引用NVIDIA Newsroom (@nvidianewsroom)@nvidianewsroomIntroducing NVIDIA DGX Station for Windows, the world's most powerful deskside AI supercomputer with Windows powered by NVIDIA GB300. ✅ Run frontier AI models with up to 1 trillion parameters locally ✅ Build and run secure AI agents on Windows with NVIDIA OpenShell ✅ Built by @ASUS, @Dell, @GIGABYTE, @HP, @msigaming, and @Supermicro #NVIDIAGTC nvda.ws/3RIkjpc
推荐理由:原文列出 GB300 桌面超级芯片的完整规格与出货时间,可据此判断本地运行前沿模型与智能体的硬件门槛。
@bleysg@bleysgAI 评分5252
引用MiniMax (official) (@MiniMax_AI)@MiniMax_AIIntroducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscrib… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days
@MiniMax_AI@minimax_aiAI 评分6464 引用Qubrid AI (@Qubrid_AI)@Qubrid_AI@MiniMax_AI M3 is now live on Qubrid AI. platform.qubrid.com/model/mi… - 1M-token context. - Native multimodality. - Frontier coding performance. - Long-horizon agentic workflows. One of the most technically interesting open-weight model releases of the year. We're proud to be a Day 0 launch partner and are offering 50% off for early adopters. More on the launch, benchmarks, architecture, API access, pricing, and partnership: qubrid.com/blog/minimax-m3-i…
@MiniMax_AI@minimax_aiAI 评分5050 引用Simular (@SimularAI)@SimularAIToday @MiniMax_AI ships M3 — the first frontier model purpose-built for computer-use agents. Natively multimodal. One model, almost every real-world task. And today, @sai_borg runs it. Our users are the first to use M3 the way it was designed to be used — on a real desktop, doing real work. This is what model-and-agent alignment looks like. → Try it: sai.work
@MiniMax_AI@minimax_aiAI 评分2727 引用Alexander Yue (@Alezander907)@Alezander907MiniMax m3 is a huge 26% improvement on BU Bench with browsercode, and shows promise for some potential future improvement. Now it is on the level of Claude 4.6-sonnet and gemini 3.5 flash
@EthanHe_42@ethanhe_42AI 评分3232 @berryxia@berryxia精选AI 评分6767 引用Google Gemini (@GeminiApp)@GeminiAppEasily add yourself to your video creations in Gemini. Here’s how to create your own digital avatar that looks and sounds like you with Gemini Omni. 🧵
推荐理由:原文给出三步生成数字分身并嵌入视频的流程,并说明 SynthID 水印可用于验证 AI 生成来源。
@MiniMax_AI@minimax_aiAI 评分5858 @kimmonismus@kimmonismusAI 评分4848 