共收录 18 篇深度内容(其中 4 条为规则摘要兜底)
📌 今日概览

- Anthropic 发布 Claude Fable 5.2 与 Mythos 5.2,第三方评测显示 Fable 5.2 以 65 分登顶 Intelligence Index v5。
- Fable 5.2 的实测案例密集出现:从空文件夹造出可启动操作系统,到 2.5 万个代理生成 450 多个 3D 世界。
- Meta 推出小型高效模型 Muse Ember,主打跨应用智能体工作流,单任务成本约为 Claude Haiku 5.5 的三分之一。
- Google 一边在 AI Studio 开放地图平台一键建应用,一边被「Krypton」模型泄露传闻笼罩。
🔥 必读 Top3
- Artificial Analysis Artificial Analysis 称 Anthropic 发布的 Claude Fable 5.2 以 65 分登顶其 Intelligence Index v5,领先 Gemini 4 Carbon(high,60)5 分、领先 Claude Opus 5.5(max,59)6 分,提升主要来自科学推理、知识与 FrontierCode 2.0;定价为每百万输入/输出 token 8/40 美元,较 Fable 5.1 降低 20%,但 max effort 下每任务成本 26.5 美元,约为 Opus 5.5 的 2.6 倍。
入选理由:给出了 Claude Fable 5.2 在 Intelligence Index v5 上有据可查的得分、领先幅度与每任务成本,是今日最硬的横向比较。 - Riley Brown 作者直播演示:向 Claude 发出一个提示词,它写出在 Blender 中搭建整个房间的代码(书桌、MacBook、灯光乃至 Clawd),并自行完成 13 个镜头、每次按键、太阳光从黄金时刻到夜晚再到日出的动画;随后租用 RunPod 的 10 块 GPU,用 52 分钟完成 4K 渲染,总花费 5.75 美元,还做了调色、字幕以及用 ElevenLabs 制作的音乐和音效。
入选理由:用一次完整直播演示把提示词到 4K 成片的链路和 5.75 美元的实际花费讲清楚,可核验的具体数字最多。 - Artificial Analysis 评测机构称 Meta 新模型 Muse Ember 在 Artificial Analysis 智能指数得 36 分,与 Claude Haiku 5.5(max)持平,单任务成本约 0.14 美元、约为后者三分之一,知识储备是主要短板。
入选理由:为 Muse Ember 提供了与 Claude Haiku 5.5 同分、成本约三分之一的量化定位,补上今日另一条模型主线。
🧭 主题分组
- 模型发布(4 条)—— Anthropic 双模型与 Meta 的 Muse Ember 同日登场,一方冲榜、一方压成本。
- 基准评测(2 条)—— Artificial Analysis 给出清晰分层:Fable 5.2 智能登顶但单任务 26.5 美元,Muse Ember 以约 0.14 美元对齐 Haiku 5.5。
- 实测造物(3 条)—— 开发者实测把 Fable 5.2 推向极限:渲染整间房、造操作系统、生成无尽 3D 世界。
- 开发工具(1 条)—— Google AI Studio 让 Gemini 一句话搭出地图应用,低门槛开发再降一步。
- 模型爆料(1 条)—— Google「Krypton」模型泄露引发递归自我改进猜测,真伪未获证实。
- AI 应用(2 条)—— AI 代理继续渗入营销生产与招聘面试场景,成本与拟人化同步推进。
- 创业并购(1 条)—— TrustMRR 首笔七位数收购落地,全年 215 笔、平均 23 天成交。
- 规则与工程(2 条)—— 加州肌酸年龄验证法案与尼亚加拉瀑布水量条约同框,规则在塑造现实。
- 其他(2 条)—— 未归类的补充内容
📖 详细内容
模型发布
Anthropic 双模型与 Meta 的 Muse Ember 同日登场,一方冲榜、一方压成本。
Claude
| @claudeai
| 影响力: 202.5万粉丝 · 互动分 114166.5
Claude
| @claudeai
| 影响力: 202.5万粉丝 · 互动分 114166.5
💡 核心观点: Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.(规则摘要)
可信度: 50/100
原文内容:
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges. They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision. https://t.co/jP0AutLxXb
⏰ 18:57 | ❤️ 82672 点赞 | 📝 37词 | 入选: 高赞 82672 | 查看原文 →
Claude
| @claudeai
| 影响力: 202.5万粉丝 · 互动分 25611.0
Claude
| @claudeai
| 影响力: 202.5万粉丝 · 互动分 25611.0
💡 核心观点: During pre-release testing, Claude Fable 5.2 and Claude Mythos 5.2 worked on ambitious projects in many different fields(规则摘要)
可信度: 50/100
原文内容:
During pre-release testing, Claude Fable 5.2 and Claude Mythos 5.2 worked on ambitious projects in many different fields. Here are a few. From a one-paragraph prompt, Fable 5.2 designed three working electronic devices, including this home voice assistant hub. https://t.co/efOYdhRr7K
⏰ 21:06 | ❤️ 21320 点赞 | 📝 41词 | 入选: 高赞 21320 | 查看原文 →
AI at Meta
| @AIatMeta
| 影响力: 88.2万粉丝 · 互动分 4260.5
AI at Meta
| @AIatMeta
| 影响力: 88.2万粉丝 · 互动分 4260.5
💡 核心观点: AI at Meta 发布新模型 Muse Ember,称其为自家最小、最高效的模型,面向复杂推理执行与日常智能体工作;原文介绍它可跨应用承接工作流、依次调用工具、运行测试并做针对性代码修复。
可信度: 70/100
事实核查:
- 原文支持: Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work.(官方账号的发布声明支持“发布”这一事实;最小、最高效的定位属于厂商自述,缺少参数佐证。)
- 原文支持: With a 1M-token context window and native understanding of text, images, audio and video(原文明确给出 100 万 token 上下文窗口和多模态能力,属于可核验的规格陈述。)
- 无法核实: Muse Ember can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes.(原文描述了这些能力,但未给出演示、测试成绩或第三方评测作为支撑。)
原文内容:
Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work. Muse Ember can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes. With a 1M-token context window and native understanding of text, images, audio and video, it can also work across large document sets and varied inputs.
⏰ 18:04 | ❤️ 2836 点赞 | 📝 64词 | 入选: 高赞 2836 | 查看原文 →
GREG ISENBERG
| @gregisenberg
| 影响力: 76.0万粉丝 · 互动分 3382.0
GREG ISENBERG
| @gregisenberg
| 影响力: 76.0万粉丝 · 互动分 3382.0
💡 核心观点: 作者引用 Claude Fable 与 Mythos 5.2 的发布信息,总结九点观察:真实自由职业工作占比从 21% 升至 41%、可自主工作 10~12 小时、Anthropic 超过 90% 的代码由 Claude 编写、一名工程师用 1000 多个子智能体运行 8 天得到可启动的操作系统、单提示词设计 3 个可用电子设备、模型学会说“我不知道”、1000 个智能体在 30 小时内形式化证明费马大定理等,并据此预测按交付物计费、一人十亿美元公司等趋势。
可信度: 28/100
事实核查:
- 无法核实: it went from doing 21% of real freelance work to 41% in one release(原文给出具体百分比,但未说明统计口径、样本来源或测量方法。)
- 无法核实: over 90% of anthropic's own code is now written by claude(该说法未标注出处,是否为 Anthropic 官方口径在原文中无从确认。)
- 存在偏差: 1000 agents formalized fermat's last theorem in 30 hours(原文称 1000 个智能体在 30 小时内形式化了费马大定理,但未给出论文、仓库或机构来源;该表述需要原始材料才能判断。)
原文内容:
quick observations from the claude fable and mythos 5.2 launch: 1/ it went from doing 21% of real freelance work to 41% in one release, so agencies are about to start charging per deliverable instead of per hour! 2/ it can work 10-12 hours on its own, which basically gives every small business a night shift (might as well use it if you know what you want to build) 3/ over 90% of anthropic's own code is now written by claude, and so i think the solo $1b founder is coming soon 4/ one engineer ran 1000+ subagents for 8 days and got an operating system that boots, so the ancient software running hospitals and airlines is finally rebuildable (lots of opportunity here on rebuilding) 5/ it designed 3 working electronic devices from a single prompt, which makes 1 person hardware companies a real thing 6/ it now says "i don't know" instead of guessing, and that's what law, medicine and finance have been waiting for (this has been the biggest thorn for these industries, hard to trust guessing) 7/ 1000 agents formalized fermat's last theorem in 30 hours, so software that's mathematically proven not to break is coming for payments and medical devices 8/ mythos is only for verified orgs, which means someone is going to build a business selling what only they have access to 9/ the models are getting better at noticing when they're being tested, so testing ai out in the real world is about to become its own industry i love new model day
引用 @claudeai: Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision. https://t.co/jP0AutLxXb
⏰ 20:27 | ❤️ 2682 点赞 | 📝 244词 | 入选: 高赞 2682 / 引用讨论 / 长文 | 查看原文 →
基准评测
Artificial Analysis 给出清晰分层:Fable 5.2 智能登顶但单任务 26.5 美元,Muse Ember 以约 0.14 美元对齐 Haiku 5.5。
Artificial Analysis
| @ArtificialAnlys
| 影响力: 17.7万粉丝 · 互动分 3248.5
Artificial Analysis
| @ArtificialAnlys
| 影响力: 17.7万粉丝 · 互动分 3248.5
💡 核心观点: Artificial Analysis 称 Anthropic 发布的 Claude Fable 5.2 以 65 分登顶其 Intelligence Index v5,领先 Gemini 4 Carbon(high,60)5 分、领先 Claude Opus 5.5(max,59)6 分,提升主要来自科学推理、知识与 FrontierCode 2.0;定价为每百万输入/输出 token 8/40 美元,较 Fable 5.1 降低 20%,但 max effort 下每任务成本 26.5 美元,约为 Opus 5.5 的 2.6 倍。
可信度: 88/100
事实核查:
- 原文支持: Anthropic has released Claude Fable 5.2, taking the #1 spot on the Artificial Analysis Intelligence Index v5 at 65(原文给出榜单名称、名次与具体分数,可对照该机构指数页面核验。)
- 原文支持: Priced at $8/$40 per 1M input/output tokens, a 20% reduction from Fable 5.1(原文明确列出输入输出单价及相对上一代的降幅。)
- 原文支持: Claude Fable 5.2 averages a Cost per Task of $26.5 with max effort, a ~2.6x increase compared to Opus 5.5 (max, $10.0)(原文给出每任务成本及倍数对比,并列出对照模型的数值。)
原文内容:
Anthropic has released Claude Fable 5.2, taking the #1 spot on the Artificial Analysis Intelligence Index v5 at 65, led by gains in science, knowledge, and coding At max effort it scores 65, 5 points ahead of Gemini 4 Carbon (high, 60) and 6 ahead of Claude Opus 5.5 (max, 59). Gains are driven by scientific reasoning, knowledge and FrontierCode 2.0, and roughly matching Opus 5.5 on AA-Briefcase and Terminal-Bench 4.0. Priced at $8/$40 per 1M input/output tokens, a 20% reduction from Fable 5.1, Claude Fable 5.2 averages a Cost per Task of $26.5 with max effort, a ~2.6x increase compared to Opus 5.5 (max, $10.0) and ~2x compared to Fable 5.1 (max, $12.99) Key takeaways: ➤ Claude Fable 5.2 leads 5 of the 9 evaluations in the Intelligence Index: At max effort, Fable 5.2 scores 65, ahead of Gemini 4 Carbon (high, 60), Claude Opus 5.5 (max, 59) and GPT-6 Astra (max, 57), and ~15 points above Claude Fable 5.1 (max, 49). It sets the highest scores on HLE-Diamond (80%, previous best 69% from Gemini 4 Carbon), AA-Omniscience v1.1 (67, previous best 54 from Gemini 4 Carbon), Terminal-Bench-Science (73%, previous best 65% from Gemini 4 Carbon), CritPt v2 hard subset (77%, previous best 72% from GPT-6 Astra) and FrontierCode 2.0 (49%, previous best 46% from Claude Opus 5.5) ➤ Less progress in agentic knowledge work and terminal coding: Claude Fable 5.2 improves on Fable 5.1 across capabilities, but sometimes only to Opus 5.5 levels. It reaches 1785 Elo on AA-Briefcase, within the confidence interval of Opus 5.5 (1800) and just behind Claude Sonnet 5.5 (1813). On GDP.pdf it reaches 24% all-pass against 26% for Opus 5.5. On Terminal-Bench 4.0 it scores 60%, level with Opus 5.5 and behind Kimi K3.1 Pro (67%), Gemini 4 Carbon (65%) and Sonnet 5.5 (64%). AutomationBench-AA is an exception, at 76% against 70% for Opus 5.5, narrowly behind Gemini 4 Carbon, 78% ➤ Lower efforts still take leading positions: With high and xhigh effort, Claude Fable 5.2 scores 62, ahead of every other model at any effort, using 98k output tokens per task against 173k for Opus 5.5 (max). At max effort Fable 5.2 costs ~2.6x more than Opus 5.5, but at lower effort settings it can outperform Opus 5.5 at lower cost per task Other model details: ➤ Context window: 1 million tokens with image and text input ➤ Pricing: $8/$40 per 1M input/output tokens; cache writes $10 with 5-minute TTL, $16 with 1-hour TTL, and cache reads $0.20 ➤ Effort settings: five (low, medium, high, xhigh, max). Intelligence Index evaluations were run at all five with Anthropic's default fallback enabled Congratulations to @AnthropicAI on this impressive release!
⏰ 19:45 | ❤️ 2441 点赞 | 📝 357词 | 入选: 高赞 2441 / 长文 | 查看原文 →
Artificial Analysis
| @ArtificialAnlys
| 影响力: 17.7万粉丝 · 互动分 1253.0
Artificial Analysis
| @ArtificialAnlys
| 影响力: 17.7万粉丝 · 互动分 1253.0
💡 核心观点: 评测机构称 Meta 新模型 Muse Ember 在 Artificial Analysis 智能指数得 36 分,与 Claude Haiku 5.5(max)持平,单任务成本约 0.14 美元、约为后者三分之一,知识储备是主要短板。
可信度: 82/100
事实核查:
- 原文支持: Meta's newest model Muse Ember scores 36 on the Artificial Analysis Intelligence Index, matching Claude Haiku 5.5 (max) at a third of the Cost per Task(给出具体分数与成本倍率,并与其他同价位模型对比,属评测机构自有基准数据。)
- 原文支持: Claude Haiku 5.5 (max) costs almost 3x more at $0.41 for the same score as Muse Ember (max).(原文列出 0.41 美元与约 0.14 美元的对比,与「三分之一成本」的表述一致。)
- 原文支持: Muse Wonder (max) scores 44 at $6.95 per Intelligence Index task(原文同时给出 Muse Ember 与 Muse Wonder 的分数和成本,用于说明性能与价格的取舍。)
原文内容:
Meta's newest model Muse Ember scores 36 on the Artificial Analysis Intelligence Index, matching Claude Haiku 5.5 (max) at a third of the Cost per Task Muse Ember is Meta's newest efficient-tier model line, with the same input and output token prices as Claude Haiku 5.5 and GPT-6 Luna Key Takeaways: ➤ On the Intelligence Index vs. Cost per Task Pareto frontier at both max and xhigh effort. Muse Ember (max) is the cheapest model scoring 36 or higher, at $0.14 per task, and Muse Ember (xhigh) scores 34 for $0.12. Claude Haiku 5.5 (max) costs almost 3x more at $0.41 for the same score as Muse Ember (max). Muse Ember (max) is also about 4x cheaper than DeepSeek V4.1 Flash 1017 (max, 33, $0.60) and GLM-5.3-Flash (28, $0.58) ➤ 8 points behind Muse Wonder for about 1/50th of the Cost per Task. Muse Wonder (max) scores 44 at $6.95 per Intelligence Index task ➤ Stands out on AutomationBench-AA. Muse Ember (max) scores 68.1% on AutomationBench-AA, level with Muse Wonder (max), and beats Claude Haiku 5.5 (max) on GDP.pdf (22.8% vs 20.8%), but trails it on AA-Briefcase (1521 vs 1574 Elo) ➤ Mixed in agentic coding in our Intelligence Index evaluations. It beats Claude Haiku 5.5 (max) on Terminal-Bench 4.0 (40.9% vs 32.8%) but trails it on FrontierCode 2.0 (27.2% vs 34.9%) ➤ Ahead of similarly priced models when running in its own coding agent. In Muse Code, Muse Ember (max) scores 46 on the Artificial Analysis Coding Agent Index, ahead of Claude Haiku 5.5 in Claude Code (max, 37) and GPT-6 Luna in Codex (max, 31) ➤ Knowledge is the main weakness, but it rarely hallucinates. Its AA-Omniscience accuracy of 21.1% is the lowest of the similarly intelligent models we compared, against 34.7% for Claude Haiku 5.5 (max) and 50.5% for Gemini 3.8 Flash (high). This is mostly because it declines to answer 64% of questions, which keeps its hallucination rate at 17.4%, half of Claude Haiku 5.5’s (max) Other details: ➤ Pricing: $0.10 input / $0.004 cached input / $0.50 output per 1M tokens ➤ Reasoning effort: results shown at max effort, with xhigh also on the Intelligence vs. Cost chart ➤ Availability: Meta's first-party API and Muse Code
⏰ 18:07 | ❤️ 871 点赞 | 📝 323词 | 入选: 高赞 871 / 长文 | 查看原文 →
实测造物
开发者实测把 Fable 5.2 推向极限:渲染整间房、造操作系统、生成无尽 3D 世界。
Riley Brown
| @rileybrown
| 影响力: 26.4万粉丝 · 互动分 4540.0
Riley Brown
| @rileybrown
| 影响力: 26.4万粉丝 · 互动分 4540.0
💡 核心观点: 作者直播演示:向 Claude 发出一个提示词,它写出在 Blender 中搭建整个房间的代码(书桌、MacBook、灯光乃至 Clawd),并自行完成 13 个镜头、每次按键、太阳光从黄金时刻到夜晚再到日出的动画;随后租用 RunPod 的 10 块 GPU,用 52 分钟完成 4K 渲染,总花费 5.75 美元,还做了调色、字幕以及用 ElevenLabs 制作的音乐和音效。
可信度: 62/100
事实核查:
- 无法核实: Fable 5.2 just created this in one shot, and I did it live on stream.(作者自称在直播中一次完成,但没有附上可核验的链接或录播,只能取信于个人陈述。)
- 无法核实: It rented 10 GPUs on RunPod and rendered the whole thing in 4K in 52 minutes. Total cost: $5.75.(原文给出 GPU 数量、平台、渲染时长、分辨率和费用,但未提供账单或截图,目前无法独立核对。)
- 无法核实: It wrote code that builds the entire room in Blender: the desk, the MacBook, the light, even Clawd.(模型编写 Blender 建模代码属于对演示过程的描述,原文内没有可供交叉验证的材料。)
原文内容:
This is actually INSANE. Fable 5.2 just created this in one shot, and I did it live on stream. I gave Claude one prompt. It wrote code that builds the entire room in Blender: the desk, the MacBook, the light, even Clawd. The laptop screen is a web page Claude built to look like the Claude app, played on the laptop inside the 3D scene. Then it animated everything itself: 13 camera shots, every single key press, Clawd jumping around, and the sun going from golden hour to night to sunrise. It rented 10 GPUs on RunPod and rendered the whole thing in 4K in 52 minutes. Total cost: $5.75. It graded it, added the titles, and made the music and sound effects with ElevenLabs. (More info below)
⏰ 21:17 | ❤️ 3756 点赞 | 📝 121词 | 入选: 高赞 3756 / 长文 | 查看原文 →
Chubby♨️
| @kimmonismus
| 影响力: 15.8万粉丝 · 互动分 3074.5
Chubby♨️
| @kimmonismus
| 影响力: 15.8万粉丝 · 互动分 3074.5
💡 核心观点: 作者引用 Anthropic 的说法称,一名 Anthropic 工程师让 Claude Fable 5.2 从空文件夹构建操作系统,模型协调 1000 多个子智能体连续 8 天编写、测试和审查代码,产出可在笔记本上启动的原型,具备自研内核、磁盘/键盘/网络驱动、持久文件存储、窗口、登录界面、安装程序和内置 Claude 功能,并评价其为“圣杯”。
可信度: 45/100
事实核查:
- 无法核实: The model coordinated over 1,000 subagents that spent eight days writing, testing and reviewing code around the clock, according to Anthropic.(作者明确标注信息来自 Anthropic,但原文未附链接或原始材料,无法独立核对。)
- 无法核实: The result was a working prototype that boots on a laptop.(原文称原型可在笔记本上启动,未提供演示视频或代码仓库。)
- 无法核实: It has its own kernel, drivers for the disk, keyboard and network, persistent file storage, windows, a login screen, an installer and built-in Claude functionality.(功能清单与“自研内核”的说法均来自转述,缺少可检验的实现细节。)
原文内容:
This is insane: An Anthropic engineer asked Claude Fable 5.2 to build an operating system from an empty folder. The model coordinated over 1,000 subagents that spent eight days writing, testing and reviewing code around the clock, according to Anthropic. The result was a working prototype that boots on a laptop. It has its own kernel, drivers for the disk, keyboard and network, persistent file storage, windows, a login screen, an installer and built-in Claude functionality. Fable 5.2 looks like the holy grail and it was worth the wait.
引用 @kimmonismus: LETS GO: Anthropic just announced Claude Fable 5.2 and Mythos 5.2. And its insane!
According to the company, both outperform Opus 5.5 in almost every capability it evaluated, including coding, reasoning and vision.
TL;DR:
– Up to 30% faster output than Fable 5.1 and Mythos 5.1, with clearer commu…
⏰ 19:12 | ❤️ 2454 点赞 | 📝 87词 | 入选: 高赞 2454 / 引用讨论 | 查看原文 →
Ethan Mollick
| @emollick
| 影响力: 41.6万粉丝 · 互动分 1572.82
Ethan Mollick
| @emollick
| 影响力: 41.6万粉丝 · 互动分 1572.82
💡 核心观点: 作者称在一次实验中让 Fable 5.2 构建由传送门连接的 3D 世界无尽旅程,2.5 万个代理共生成 450 多个取材于书籍、艺术与地点的代码世界,并附试玩与 GitHub 链接。
可信度: 62/100
事实核查:
- 原文支持: 25,000 agents created over 450 worlds inspired by books, art, places, all in code.(作者给出代理数量与世界数量,并附可访问的试玩页面和代码仓库,具备一定可核验性。)
- 原文支持: I told Fable 5.2 to build an endless, hands-off journey through 3D worlds linked by portals.(属作者对自身实验过程的陈述,原文提供了试玩与 GitHub 链接作为佐证。)
原文内容:
In one of my favorite experiments, I told Fable 5.2 to build an endless, hands-off journey through 3D worlds linked by portals. 25,000 agents created over 450 worlds inspired by books, art, places, all in code. Play: https://t.co/pu1gO2sufk Github: https://t.co/NJKDlib6Xp https://t.co/oBgAQj6ZQ3
⏰ 22:21 | ❤️ 1031 点赞 | 📝 44词 | 入选: 高赞 1031 | 查看原文 →
开发工具
Google AI Studio 让 Gemini 一句话搭出地图应用,低门槛开发再降一步。
Google AI Studio
| @GoogleAIStudio
| 影响力: 21.3万粉丝 · 互动分 3702.5
Google AI Studio
| @GoogleAIStudio
| 影响力: 21.3万粉丝 · 互动分 3702.5
💡 核心观点: Google AI Studio 宣布现在可以在 AI Studio 中用 Google 地图平台构建应用,宣称从想法到应用只需几分钟、支持一键配置,用户描述想法后由 Gemini 完成其余工作,可调用地图瓦片、地点、天气、路线、3D 建筑和街景等能力。
可信度: 72/100
事实核查:
- 原文支持: you can now build with google maps platform in AI Studio(官方账号发布的可用性公告,原文支持该功能上线的事实。)
- 无法核实: go from idea to app powered by @googlemaps in minutes!(“几分钟出应用”是宣传性表述,原文未提供具体案例或耗时数据。)
- 原文支持: build with map tiles, places, weather, routing, 3D buildings, street view, and more(原文列出可用的地图能力,属于功能清单式陈述。)
原文内容:
you can now build with google maps platform in AI Studio 🗺️📍 go from idea to app powered by @googlemaps in minutes! what’s new: - 1-click setup - create maps apps just by describing your idea, gemini does the rest - build with map tiles, places, weather, routing, 3D buildings, street view, and more try it out today: https://t.co/Ea0Cdu0szs
⏰ 17:01 | ❤️ 2788 点赞 | 📝 57词 | 入选: 高赞 2788 | 查看原文 →
模型爆料
Google「Krypton」模型泄露引发递归自我改进猜测,真伪未获证实。
Chubby♨️
| @kimmonismus
| 影响力: 15.8万粉丝 · 互动分 2519.0
Chubby♨️
| @kimmonismus
| 影响力: 15.8万粉丝 · 互动分 2519.0
💡 核心观点: 作者称有大量关于 Google 最新模型“Krypton”的泄露在流传,内容令人惊叹,并据此推测 Google 内部要么正走向递归自我改进(RSI),要么已经达到该状态;作者同时说明自己无法核实,仅在下方附了几个展示输出。
可信度: 20/100
事实核查:
- 无法核实: Currently, numerous leaks are circulating regarding "Krypton" – Google's latest model(原文称存在大量泄露,但只给出一条链接,未说明泄露来源与可信度。)
- 原文支持: I cannot verify this myself(作者本人明确承认无法核实,原文支持这一自我限定。)
- 无法核实: It seems that internally, Google is either truly heading toward RSI or has already reached it.(该判断建立在未核实的泄露之上,属于推测,原文没有提供内部信息或证据。)
原文内容:
It seems that internally, Google is either truly heading toward RSI or has already reached it. I can’t explain it any other way. Currently, numerous leaks are circulating regarding "Krypton" - Google’s latest model - which is truly breathtaking. Google is back in a massive way. I cannot verify this myself, but I’ve linked a few impressive outputs below: https://t.co/SHfnuE2PS5
⏰ 11:27 | ❤️ 1982 点赞 | 📝 63词 | 入选: 高赞 1982 | 查看原文 →
AI 应用
AI 代理继续渗入营销生产与招聘面试场景,成本与拟人化同步推进。
GREG ISENBERG
| @gregisenberg
| 影响力: 76.0万粉丝 · 互动分 1669.5
GREG ISENBERG
| @gregisenberg
| 影响力: 76.0万粉丝 · 互动分 1669.5
💡 核心观点: 作者推广一套 AI 代理营销流程,称可批量产出 100 条以上静态广告、把 UGC 视频成本从 500 美元降到 4 美元并自动上传,完整步骤见所附链接。
可信度: 38/100
事实核查:
- 无法核实: Watch AI agents ship 100+ static ads, make UGC videos for $4 that used to cost $500 and upload everything(成本对比与产出数量均为宣传性表述,原文未给出案例、样本或计价依据。)
原文内容:
CRACKED MARKETING 101 Watch AI agents ship 100+ static ads, make UGC videos for $4 that used to cost $500 and upload everything Here's the ENTIRE system step by step (and ALL of the skills): https://t.co/A1tvOwmwQ8
⏰ 18:50 | ❤️ 1246 点赞 | 📝 35词 | 入选: 高赞 1246 | 查看原文 →
Justine Moore
| @venturetwins
| 影响力: 24.9万粉丝 · 互动分 28704.0
Justine Moore
| @venturetwins
| 影响力: 24.9万粉丝 · 互动分 28704.0
💡 核心观点: Damn they’re giving the AI interviewers some personality now (from itsnickreid on TikTok) https://t.co/0e28kWD56U(规则摘要)
可信度: 50/100
原文内容:
Damn they’re giving the AI interviewers some personality now (from itsnickreid on TikTok) https://t.co/0e28kWD56U
⏰ 17:37 | ❤️ 23640 点赞 | 📝 17词 | 入选: 高赞 23640 | 查看原文 →
创业并购
TrustMRR 首笔七位数收购落地,全年 215 笔、平均 23 天成交。
Marc Lou
| @marclou
| 影响力: 42.3万粉丝 · 互动分 1907.5
Marc Lou
| @marclou
| 影响力: 42.3万粉丝 · 互动分 1907.5
💡 核心观点: 作者宣布 TrustMRR 完成首笔七位数收购:一家成立一年多、挂牌 9 个月的 GTM 创业公司以 100 万美元成交,并列出今年 215 笔收购、平均 23 天成交、8131 名认证买家等数据。
可信度: 78/100
事实核查:
- 无法核实: The first 7-figure acquisition on TrustMRR. $1,000,000 exactly. Sold in October.(作者为平台创始人,给出具体金额与成交月份,属第一方披露,原文未附交易凭证或第三方确认。)
- 无法核实: – 215 acquisitions this year
– 23 days on average from listing to acquisition
– 8,131 verified buyers(均为平台运营数据,数字具体且彼此一致,原文未提供数据面板或审计来源。) - 无法核实: Escrow accounts for 70–80% of the time from listing to acquisition, and it doesn't support some currencies/countries, causing about 30% of transactions to fall through.(作者对流程瓶颈给出量化描述,属自身业务观察,原文无外部数据支撑。)
原文内容:
So... it happened. The first 7-figure acquisition on TrustMRR. $1,000,000 exactly. Sold in October. It’s a GTM startup that was just over a year old. The founders listed it on TrustMRR 9 months ago, when I launched the marketplace. They received a dozen offers. They picked one, and it took more than 6 months to complete the process, including due diligence. I can’t describe how happy (and proud) I am to have built TrustMRR. It started as a vibe-coded leaderboard, and it’s now a real startup marketplace. - 215 acquisitions this year - 23 days on average from listing to acquisition - 8,131 verified buyers - 84 offers/inquiries per day I’m spending more time working TrustMRR because I think it’s one of my most AI-resilient businesses (network effect). My goal for 2027 is to make acquisitions 10x faster. Escrow accounts for 70–80% of the time from listing to acquisition, and it doesn’t support some currencies/countries, causing about 30% of transactions to fall through. Godspeed 🫡
⏰ 11:41 | ❤️ 1416 点赞 | 📝 159词 | 入选: 高赞 1416 / 长文 | 查看原文 →
规则与工程
加州肌酸年龄验证法案与尼亚加拉瀑布水量条约同框,规则在塑造现实。
@levelsio
| @levelsio
| 影响力: 99.1万粉丝 · 互动分 2275.0
@levelsio
| @levelsio
| 影响力: 99.1万粉丝 · 互动分 2275.0
💡 核心观点: 引用「California has passed a law requiring age verification to buy creatine starting January 1, 2027」,作者据此以反讽语气主张加州对更聪明、更健康、更强壮的人群设限。
可信度: 45/100
事实核查:
- 无法核实: California has passed a law requiring age verification to buy creatine starting January 1, 2027(该说法出自推文引用的内容,原文未给法案编号、表决记录或官方链接等可核验细节。)
- 存在偏差: Apparently it's illegal to be more intelligent, more healthy and more ripped in California(原文只提到购买肌酸需年龄验证,未涉及智力或健康水平,反讽结论超出引用事实范围。)
原文内容:
Apparently it's illegal to be more intelligent, more healthy and more ripped in California
引用 @InternetH0F: California has passed a law requiring age verification to buy creatine starting January 1, 2027 https://t.co/UrBnHBOBV5
⏰ 12:52 | ❤️ 1985 点赞 | 📝 15词 | 入选: 高赞 1985 / 引用讨论 | 查看原文 →
Aakash Gupta
| @aakashgupta
| 影响力: 33.6万粉丝 · 互动分 2283.5
Aakash Gupta
| @aakashgupta
| 影响力: 33.6万粉丝 · 互动分 2283.5
💡 核心观点: 作者引用一条关于尼亚加拉瀑布的推文,介绍美加 1950 年条约规定游客季上午 8 点到晚上 10 点至少每秒 10 万立方英尺水流过瀑布、10 点后降至 5 万,11 月至次年 3 月全天 5 万;其余河水经上游控制坝闸门引入市区地下隧道,供 Sir Adam Beck 与 Robert Moses 两座水电站,夜间约四分之三的河水不经过瀑布,并讲述 1950 年代为维持“水量观感”削去 355 英尺瀑缘、回填两端、疏浚河床的改造。
可信度: 66/100
事实核查:
- 无法核实: This is a real thing, written into a treaty the US and Canada signed in 1950.(原文给出条约签署年份与两国主体,未给出条约名称,无法据此直接定位原文。)
- 无法核实: It says at least 100,000 cubic feet of water per second has to go over the falls from 8am to 10pm during tourist season. After 10pm the number drops to 50,000.(原文给出具体流量数值与时段,属于可对照条约文本核验的细节,但推文本身未附条文。)
- 无法核实: They chopped 355 feet off the length of the edge, filled in both ends with rock, dug out parts of the riverbed and steered more of the water toward the middle.(原文给出改造的具体尺寸与做法,并称规划文件将目标称为“impression of volume”,未提供文件出处。)
原文内容:
Every night at 10pm, they turn Niagara Falls down by half. This is a real thing, written into a treaty the US and Canada signed in 1950. It says at least 100,000 cubic feet of water per second has to go over the falls from 8am to 10pm during tourist season. After 10pm the number drops to 50,000. From November through March it's 50,000 all day, so anybody visiting this week is seeing the off-season version. The rest of the river gets pulled off before it ever reaches the edge. A control dam upstream has gates that get adjusted on that schedule, and the water goes into giant tunnels under the city that feed two power plants, Sir Adam Beck on the Canadian side and Robert Moses on the New York side. At night about three out of every four gallons in the Niagara River never go over the falls at all. Which left the engineers with an awkward problem. If you cut the water in half and spread it across the same old cliff edge, it looks thin. You'd see bare rock poking through on the sides, and tourists would notice. So in the 1950s they reshaped the Horseshoe Falls itself. They chopped 355 feet off the length of the edge, filled in both ends with rock, dug out parts of the riverbed and steered more of the water toward the middle. Their own planning documents called the goal an "impression of volume." When they tested it on scale models, smaller cuts looked fine at the daytime flow and fell apart at the nighttime one. Some of the land they filled in got turned into viewing areas. Terrapin Point on the American side is one of them, so a lot of people taking their Niagara Falls photo there are standing on what used to be Niagara Falls. Does the water ever actually stop? It did once. In March 1848 a big windstorm shoved Lake Erie ice into the mouth of the river and jammed it shut, and the falls dropped to a trickle for a day and a half or so. One local business went out on the exposed riverbed and blasted out rocks that had been tearing up boats. Since 1964 they've strung an ice boom across the lake outlet every winter so it can't happen again. Abraham Lincoln wrote about the falls later that same year. His line was "never dried, never froze, never slept, never rested." He wrote that about six months after it went dry.
引用 @JoshuaBarzon: Niagara Falls doesn’t make sense to me. https://t.co/9lHbAh9hz3
⏰ 10:02 | ❤️ 1825 点赞 | 📝 413词 | 入选: 高赞 1825 / 引用讨论 / 长文 | 查看原文 →
其他
未归类的补充内容
Anthony Pompliano 🌪
| @APompliano
| 影响力: 244.0万粉丝 · 互动分 1164.5
Anthony Pompliano 🌪
| @APompliano
| 影响力: 244.0万粉丝 · 互动分 1164.5
💡 核心观点: 作者主张各国军队虽投入数十亿美元采购导弹、无人机、机器人与自主潜艇,战场最大威胁仍是女间谍策反纪律松懈的男性,并称这是自古不变的故事。
可信度: 22/100
事实核查:
- 无法核实: Militaries around the world are investing billions into missiles, drones, robots, and autonomous submarines(原文仅作概括性陈述,未给出具体国家、预算数字或来源。)
- 无法核实: the greatest threat on the battlefield remains female spies soliciting undisciplined men(属作者的断言式观点,原文未提供案例或数据支持。)
原文内容:
Militaries around the world are investing billions into missiles, drones, robots, and autonomous submarines, yet the greatest threat on the battlefield remains female spies soliciting undisciplined men. Story as old as time.
⏰ 13:34 | ❤️ 858 点赞 | 📝 32词 | 入选: 高赞 858 | 查看原文 →
vas
| @vasuman
| 影响力: 11.1万粉丝 · 互动分 20987.5
vas
| @vasuman
| 影响力: 11.1万粉丝 · 互动分 20987.5
💡 核心观点: It’s not just NVIDIA.(规则摘要)
可信度: 50/100
原文内容:
It’s not just NVIDIA. Sources confirm Google's Gemini team was also leaking confidential information to China. China is reportedly asking them to stop.
⏰ 16:13 | ❤️ 19322 点赞 | 📝 25词 | 入选: 高赞 19322 | 查看原文 →
🔗 引用关系
- @bcherny 引用 @claudeai(原文:Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re …)
- @aakashgupta 引用 @tunmise7j(原文:Can any dune book reader explain why anyone would choose to become a navigator in Dune?
In the world of Dune, navigator…)
- @gregisenberg 引用 @claudeai:作者引用 Claude Fable 与 Mythos 5.2 的发布信息,总结九点观察:真实自由职业工作占比从 21% 升至 41%、可自主工作 10~12 小时、Anthropic 超过 90% 的代码由 Claude 编写、一名工程师用 1000 多个子智能体运行 8 天得到可启动的操作系统、单提示词设计 3 个可用电子设备、模型学会说“我不知道”、1000 个智能体在 30 小时内形式化证明费马大定理等,并据此预测按交付物计费、一人十亿美元公司等趋势。(原文:Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re …)
- @kimmonismus 引用 @kimmonismus:作者引用 Anthropic 的说法称,一名 Anthropic 工程师让 Claude Fable 5.2 从空文件夹构建操作系统,模型协调 1000 多个子智能体连续 8 天编写、测试和审查代码,产出可在笔记本上启动的原型,具备自研内核、磁盘/键盘/网络驱动、持久文件存储、窗口、登录界面、安装程序和内置 Claude 功能,并评价其为“圣杯”。(原文:LETS GO: Anthropic just announced Claude Fable 5.2 and Mythos 5.2. And its insane!
According to the company, both outpe…)
- @aakashgupta 引用 @JoshuaBarzon:作者引用一条关于尼亚加拉瀑布的推文,介绍美加 1950 年条约规定游客季上午 8 点到晚上 10 点至少每秒 10 万立方英尺水流过瀑布、10 点后降至 5 万,11 月至次年 3 月全天 5 万;其余河水经上游控制坝闸门引入市区地下隧道,供 Sir Adam Beck 与 Robert Moses 两座水电站,夜间约四分之三的河水不经过瀑布,并讲述 1950 年代为维持“水量观感”削去 355 英尺瀑缘、回填两端、疏浚河床的改造。(原文:Niagara Falls doesn’t make sense to me. https://t.co/9lHbAh9hz3)
- @levelsio 引用 @InternetH0F:引用「California has passed a law requiring age verification to buy creatine starting January 1, 2027」,作者据此以反讽语气主张加州对更聪明、更健康、更强壮的人群设限。(原文:California has passed a law requiring age verification to buy creatine starting January 1, 2027 https://t.co/UrBnHBOBV5)
🧩 跨推文归纳
共识
- {'tweet_ids': ['2119867114450268322', '2119878995386982508', '2119889516152414518'], 'point': '三方一致认为 Claude Fable 5.2 是目前最强的一档模型,且提升集中在科学推理与代码能力。'}
- {'tweet_ids': ['2119870808143298647', '2119902109709537708'], 'point': '两条独立实测都指向同一件事:Fable 5.2 能长时间连续执行并自行完成整套交付物。'}
分歧
- {'tweet_ids': ['2119878995386982508', '2119870808143298647'], 'point': '评测机构强调 max effort 下单任务成本约 26.5 美元、为 Opus 5.5 的 2.6 倍,而造操作系统一例被描述为极致成果,对性价比的判断方向相反。'}
数据来源:X 列表「AI 英文」(22 条候选)· 由 twscrape 采集、grok 整理