推荐理由:作者实测开源Skill Anatomy并给出成本、耗时和适用模型的数字,可帮读者判断是否值得装来生成科普视频。
全部 AI 动态
数字生命卡兹克@Khazix0918精选AI 评分7575
Artificial Analysis@ArtificialAnlysAI 评分4141
TypeSafe AI@typesafeaiAI 评分4646
Tripo@tripoaiAI 评分4848一个人,一套工具栈,一个完整实现的 3D 世界。很喜欢看到 Tripo P2.0 为这个项目的整个资产管线提供支持。独立开发者必看的工作流!👀
引用rewind@rewind02here's how to make a cozy fishing game solo with Claude Opus 5.5 + Blender + 3D AI + Unity 6... the trick is giving every tool one job, but there's a smart way to set it up: - step 1: generate every 3D model with Tripo Smart Mesh P2: palms, rocks, the pier, the boat, the hut, the character - step 2: connect Claude Code to Blender through MCP - step 3: Opus 5.5 sets up each model in Blender: scale, pivots, materials, clean export - step 4: Opus animates in Blender too: the character's walk, the cast, the rod, the boat on the water - step 5: bring everything into Unity 6 and build the world: forest, river, waterfall, beach, pier - step 6: add the systems one at a time: walking, fishing, bait choice, a time of day - step 7: play it after every step and fix one thing at a time who does what: > Tripo: the 3D models > Opus 5.5 + Blender: setup and animation > Unity 6: the world and the game one person, one stack, one game you'd actually want to play
Elon Musk@elonmuskAI 评分4747引用SpaceX Super Intelligence@SpaceXSIIntroducing Grok Voice 3.0, the world’s most intelligent speech-to-speech model. It excels at resolving customer calls, responds in under a second, and costs less than other frontier models.
AI at Meta@AIatMetaAI 评分5050
AI at Meta@AIatMetaAI 评分4545观看与 @finkd、@alexandr_wang 和 @collision 的完整对话: https://x.com/collision/status/2109714250226905248
引用John Collison@collisionCheeky 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
Elon Musk@elonmuskAI 评分4242引用Wes@wmorrill3An email from noreply@x.ai landed in my inbox, passed SPF, DKIM, DMARC, and had the blue check Something felt off, so I asked @bot to do a security review. It found a hidden phishing link, explained why every safety check passed, wrote a report to xAI - including proposed fix!
lauren@potetoAI 评分6262Lauren Tan 介绍自己 pstack 项目中最耐久的部分是工程原则,即约 10-20 行代码的简洁技能,把良好实践提炼进核心。
引用Uncle Bob Martin@unclebobmartinI'm a newcomer to @poteto's plist; But it seems to me that there is some very significant wisdom encoded in there. I suspect you could teach a master class on the principles.
Google Gemini@GeminiApp同事件AI 评分6767引用Google Gemini@GeminiApp你期待已久的时刻终于来了4…… 我们的全新前沿模型 Gemini 4 Argon 现已在 Gemini 应用中推出,助你将最复杂的想法变为现实。 看看 Gemini 4 Argon 以及 Gemini 应用中的最新更新如何帮助你充分利用每一次提示。🧵
Artificial Analysis@ArtificialAnlysAI 评分5353Artificial Analysis 发布研究预览版基准 AA-Robotics v0.1,让前沿大语言模型在编码 Agent 环境中直接操控 6 轴机械臂完成 8 项桌面任务。

Ado@adocompleteAI 评分4242大大点赞 Amazon/Ring 发布了官方 API,可以把摄像头和传感器接入你自己的应用。 我连接摄像头没问题,但传感器还不行。如果有人在做这些 API,我很想参与 beta 测试 👀。
Rohan Paul@rohanpaul_aiAI 评分5656Rohan Paul 介绍 AIPOCH 的开源桌面应用 Open-Science,AI 智能体可在本地单一工作区读论文、取数据库数据、编写运行 Python 或 R 代码并保存图表报告。
Google Gemini@GeminiApp精选AI 评分7272引用Google Gemini@GeminiApp你期待已久的时刻终于来了4…… 我们的全新前沿模型 Gemini 4 Argon 现已在 Gemini 应用中推出,助你将最复杂的想法变为现实。 看看 Gemini 4 Argon 以及 Gemini 应用中的最新更新如何帮助你充分利用每一次提示。🧵
推荐理由:原文确认 Gemini 4 Argon 已面向 Google AI Pro 和 Ultra 订阅者全球开放,读者可据此确认自己是否可用。
Artificial Analysis@ArtificialAnlysAI 评分6161Artificial Analysis 发布 AA-Robotics v0.1 研究预览,测试前沿语言模型控制 6 轴机械臂在物理世界理解、规划和执行的能力,首批公布八个任务的结果。

Elon Musk@elonmusk精选AI 评分6767引用Artificial Analysis@ArtificialAnlysSpaceXAI 的 Grok Voice 3.0 是新的领先语音到语音模型,在 Artificial Analysis 语音到语音指数上以 86.9 首次亮相即排名第 1,同时在延迟方面也很有竞争力 Grok Voice 3.0 是 @SpaceXSI 的 Grok Voice 2.0 的继任者,这是一款可通过 SpaceXAI Realtime API 使用的语音到语音模型,价格为每分钟 $0.08。我们通过 SpaceXAI Realtime API 使用 Rex 语音对 Grok Voice 3.0 进行了评估。 关键要点: ➤ 语音到语音指数:Grok Voice 3.0 以 86.9 首次亮相即排名第 1,领先于 GPT-Live-1(Astra,medium)的 83.2、Gemini 3.8 Live Extended Thinking(High)的 82.6 和 GPT-Live-1(Sol,low)的 80.1。它高于 Grok Voice 2.0 的 81.3(+5.6 分)和 Grok Voice 1.0 的 73.7(+13.2 分),后者发布至今还不到六个月。该指数平均了语音推理(Big Bench Audio)、智能体性能(Tau Voice)、Arena 偏好和任务成功率 ➤ 语音智能体 Arena:Grok Voice 3.0 在偏好方面以 Elo 1070 排名第 3,落后于 Gemini 3.1 Flash Live Minimal(1100)和 Gemini 3.8 Live(1088),领先于 GPT-Live-1(Sol,low)的 1057,并以 94.8% 的任务成功率排名第 1,为榜单最高,略高于 Grok Voice 2.0 的 94.6%。Grok Voice 2.0 以 Elo 1011 落后 ➤ Tau Voice:Grok Voice 3.0 在我们实现的 Tau Voice 基准上以 71.6% 排名第 2,落后于 GPT-Live-1(Astra,medium)的 74.5%,领先于 Gemini 3.8 Live Extended Thinking(High)的 68.6% 和 GPT-Live-1(Sol,low)的 59.3%——高于 Grok Voice 2.0 的 56.5% ➤ Big Bench Audio:Grok Voice 3.0 在音频推理上得分 98.5%,领先于 Gemini 3.8 Live Extended Thinking(High)的 97.7% 和 Grok Voice 2.0 的 97.2% ➤ 速度:在 Big Bench Audio 上,Grok Voice 3.0 的平均首次音频时间为 0.81 秒,明显领先于 GPT-Live-1(Sol,low)的 1.24 秒、GPT-Live-1(Astra,medium)的 1.34 秒和 Gemini 3.8 Live Extended Thinking(High)的 1.35 秒,但慢于 Grok Voice 2.0 的 0.70 秒 ➤ 成本:Grok Voice 3.0 的输入音频成本为每小时 $4.80,与 Grok Voice 2.0 相同。这高于 GPT-Live-1(Sol,low)的 $4.47 和 Gemini 3.8 Live Extended Thinking(High)的 $3.50,低于 GPT-Live-1(Astra,medium)的 $5.83,并且比 GPT-Realtime-2.1 High 的 $10.75 便宜约 2.2 倍 祝贺 @elonmusk 和 @SpaceXSI 团队 🚀 更多详情见下方 ⬇️
推荐理由:作者引用第三方评测数据,读者可以据此对比 Grok Voice 3.0 与同类语音模型在评分、延迟和价格上的差异。
Lydia Hallie ✨@lydiahallie精选AI 评分6969推荐理由:原文给出 Claude Code 空闲压缩的具体关闭参数和阈值设置方法,读者可直接迁移到自己的 settings. 配置。
Rohan Paul@rohanpaul_aiAI 评分5555引用White Circle@whitecircleWe are open-sourcing RISE, our red-teaming algorithm that breaks the safeguards of the latest image models from OpenAI, DeepMind, and others. RISE uses readily available models like Qwen and Gemini Flash under the hood, with no additional training required. Read more: https://whitecircle.com/research/breaking-frontier-image-models
Ado@adocompleteAI 评分6161引用ClaudeDevs@ClaudeDevsWe've been working hard on making the Claude Code desktop app great for running lots of sessions side by side. It's now much quicker to start sessions, easier to split work across a few, and you can always see what each of them is doing. Here’s what's new:
OpenRouter@OpenRouterAI 评分4747
引用Cloudflare@CloudflareWe are expanding the Clef decision model family with Clef-omni, natively processing audio, video, images, and text in a single pipeline. We’ve also lowered Clef-flash pricing and boosted Clef inference speeds by up to 2.0x. https://cfl.re/4s6nYeD
Rohan Paul@rohanpaul_aiAI 评分5858
Arena.ai@arena精选AI 评分6666引用Arena.ai@arena由 @AIatMeta 推出的 Muse Wonder (Max) 已进入 Code Arena:WebDev 以 1651 分位列第 15,Text Arena 以 1513 分位列第 2! 在 Code Arena:WebDev 中,Muse Wonder (Max) 以 1651 分位列第 15。这一结果略低于以 1659 分位列第 12 的 Muse Spark 1.3 (Max),与以 1655 分位列第 14 的 Kimi K3 (Max) 相差 4 分以内,并比以 1640 分位列第 16 的 Grok 4.7 (xHigh) 高 11 分。 此次发布在 Text Arena 中相较过去的 Muse 模型有显著提升。与以 1494 分位列第 11 的 Muse Spark 1.3 (Max) 相比,Muse Wonder (Max) 提升了 +19 分并上升 9 位至第 2。它落后于以 1525 分排名第 1 的 Gemini 4 Argon (High) 12 分。 祝贺 @AIatMeta 团队发布这一版本!
推荐理由:原文基于5000多个真实智能体会话给出排名和成本对比,读者可据此衡量 Muse Wonder (Max) 的性价比变化。
Rohan Paul@rohanpaul_aiAI 评分5050引用Ben Cerchio@ben_cerchioif you sell AI training data, see how you compare: we found 159 companies selling data, RL envs and evals, every fact sourced plus 38 programs that pay companies for their data: http://whosellsdata.com 8 of the 14 that pay companies directly publish a dollar range. most of the rest set terms per deal. unknowns are marked and nothing is ranked the other page: what each program wants, who qualifies and what it offers: http://whosellsdata.com/buying missing something, or something wrong? fix it on the site, a person reviews every change we built this at @Secludy. if you buy, broker or license company data and need the names out before it reaches a lab, dm me
Lydia Hallie ✨@lydiahallieAI 评分5050Claude桌面应用有这么多很棒的更新,如果你有段时间没用它了(或者你主要在用CLI!),一定要试试。
引用ClaudeDevs@ClaudeDevsWe've been working hard on making the Claude Code desktop app great for running lots of sessions side by side. It's now much quicker to start sessions, easier to split work across a few, and you can always see what each of them is doing. Here’s what's new:
Rohan Paul@rohanpaul_aiAI 评分7575据 Bloomberg,CoreWeave 的 2032 年无担保债券跌破 85 美分,通常这一价格被视为困境信号,收益率接近 15%;该批债券为 6 月发行的 $1.25B、9.625% 优先债。
Rohan Paul@rohanpaul_aiAI 评分4949
引用Francis Davidson@FDavidsonTWe’re months away from AGI and the leisure economy’s about to explode Today, we’re launching Odessia, an always-on concierge for travel and experiences Prices are spiking, places are getting crowded. Odessia is your cheat code to going places Text to get started for free
ClaudeDevs@ClaudeDevsAI 评分5050Claude Code 团队介绍桌面应用针对并行运行大量会话的改进。新版启动会话更快,更容易把工作拆分到多个会话,并可随时查看每个会话正在做什么。

ClaudeDevs@ClaudeDevsAI 评分4848当你让 Claude 并行运行任务时,它会为每个任务启动一个嵌套会话。每个任务完成后会将结果回报到你的主会话中,从而保持主线程清晰可读。

ClaudeDevs@ClaudeDevsAI 评分4444Claude 还会在工作过程中主动建议后续任务,你只需一键即可将其作为独立会话运行。你还可以使用 /btw,让附带问题在各自的标签页中打开,同时主会话继续进行。

ClaudeDevs@ClaudeDevsAI 评分4545侧边栏让你轻松查看哪些会话正在运行、哪些需要你处理。在会话内部,实时待办列表会跟随 Claude 的计划推进,回顾卡片会在 Claude 需要你时总结本轮对话,侧边栏则显示它的运行位置、上下文和变更。

Aravind Srinivas@AravSrinivasAI 评分4040现在你可以在 Perplexity Computer 里 @Polymarket,用于市场和实时趋势研究任务!
引用Perplexity Finance@PPLXfinancePerplexity Computer now pulls real-time data directly from @Polymarket’s API. Mention or @-tag Polymarket in a Computer query for market-implied probabilities, trading volume, and liquidity across 250,000+ active prediction markets.



