Nathan Lambert@natolambert · 6天前63

A crazy jump. The price of the tokens will be worth it to a vast number of enterprises.

译Claude Fable 5 在 APEX-SWE 软件工程评测中取得 65.5% Pass@1 总体成绩，较 Claude Opus 4.8 高约 18 个百分点。两个子类别中，Integration 为 61.3%，Observability 高达 69.7%，后者比 Opus 4.8 领先 26 个百分点。Fable 5 是首个在 Observability 类别突破 50% 的模型，也是唯一在该项上得分高于 Integration 的模型（其他模型均相反）。Observability 此前一直是所有模型的瓶颈，Fable 5 首次打破这一局面。主推文认为，虽然模型 token 价格不菲，但对大量企业而言物有所值。

Nathan Lambert@natolambert · 6天前59

The crazy jump in perf for Claude 5 Fable is vindication for people who say Opus 4.5 and were like "yeah I should (mostly) stop writing code by hand and get ready for the future." More jumps still to come!

译Claude 5 Fable性能的疯狂跃升验证了那些说“Opus 4.5确实，我该（基本）停止手写代码，为未来做好准备”的人。更多跃升还在前方！

Nathan Lambert@natolambert · 6天前48

The best part of all these Claude 5 Fable safety measures is I bet the jailbreaking community will still get past them, so the people doing open research in good faith don't get access to the best models but bad actors maybe can.

译所有这些 Claude 5 Fable 安全措施最好的一点是，我打赌越狱社区仍然能绕过它们，因此本着诚意进行公开研究的人无法使用最优秀的模型，而坏人反而可能用上。

Nathan Lambert@natolambert · 6天前46

If anthropic can't convince a bunch of tech bro's on X that they're not safety washing, good luck convincing the american public.

译如果Anthropic无法让X上的一群科技人士相信他们不是在安全洗白，那就祝你好运去说服美国公众吧。

Chubby♨️@kimmonismus · 6天前66

The HyperFrames engine leaving the terminal and becoming a Claude connector is a bigger deal than it looks. Ask for a video the way you'd ask for the report. No repo, no setup. That's the version of AI video that non-developers will actually use.

译HyperFrames 引擎已脱离终端，正式成为 Claude 官方连接器（MCP），与 Anthropic 合作实现：用户像索要报告一样直接请求视频，无需代码仓库或本地配置。这使非开发者也能真正使用 AI 视频生成——文档常被略读，而视频更易理解。

Chubby♨️@kimmonismus · 6天前63

The guardrails are way too strict. Even the simplest questions get cut off immediately. And it's only on the schedule until June 22nd. Damn, Anthropic really thinks the model is too powerful.

译用户称 Claude 5 Fable 安全护栏过于严格，简单问题也会被立即切断。该模型仅开放至 6 月 22 日，暗示 Anthropic 认为其能力过强。引用信息显示：Fable 5 在软件工程、知识工作、视觉、科学研究等几乎所有 AI 基准测试中达到 SOTA，任务越长越复杂领先越大；它比此前 Claude 模型更节省 token，能在数百万 token 的长任务中保持专注，并利用自身笔记改进输出。Stripe 早期测试中，Fable 5 在 5000 万行 Ruby 代码库中一天完成全库迁移，而人工需两个多月。

eric zakariasson@ericzakariasson · 6天前75

we just shipped some improvements to http://cursor.com/evals! you can now see cost, output tokens and steps plotted in the graph for each model

译我们刚刚向 http://cursor.com/evals 推送了一些改进！ 你现在可以看到每个模型的成本、输出 token 和步骤绘制在图表中

Replit ⠕@Replit · 6天前44

I built a mobile app, promo video, and pitch deck for my travel app at the same time using Replit's parallel agents 👇

译我使用 Replit 的并行代理，同时为我的旅行应用构建了移动应用、宣传视频和推介 PPT 👇

Boris Cherny@bcherny · 6天前95

Fable 5 is now available in Claude Code and Cowork Fable is the best model I have used for coding, by a wide margin. It is a big step up, enabling less prompts and steers, more efficient token use, better code quality, better tool use, more intelligent self-verification, longer running sessions, and higher trust & autonomy. Happy coding!

译开发者 Boris Cherny 宣布，Claude Fable 5（Mythos-class 模型，已安全开放通用）已在 Claude Code 及 Cowork 中可用。该模型能力超过此前所有普遍可用的 Claude 模型，在编程任务中表现突出：需要更少的提示词和引导，token 使用更高效，代码质量、工具调用能力、智能自验证能力均有显著提升，支持更长时间的会话，且可赋予更高信任度与自主性。

ClaudeDevs@ClaudeDevs · 6天前59

Claude Fable 5 changed how we work on the Claude Code team day to day. We used to verify that Claude did the work right. Now we verify that it's doing the right work. Here’s the 3 biggest changes:

译Claude Fable 5 改变了我们 Claude Code 团队的日常运作方式。 我们过去常常验证 Claude 是否正确完成了工作。现在我们验证它是否在做正确的工作。 以下是最大的三个变化：

Jeff Dean@JeffDean · 6天前81

Speech translation has been one of the longest-running ML efforts at Google, and we’ve come a long way. Gemini 3.5 Live Translate is our latest speech-to-speech model, supporting 70+ languages. It enables more natural conversations across languages in everyday products and apps. Here’s an example of how partners at @InsideGrab are helping connect travelers with drivers. 🚗 Rolling out in Google Translate and via the Live API in @GoogleAIStudio.

译语音翻译一直是Google历时最久的机器学习项目之一，我们已经取得了长足进展。Gemini 3.5 Live Translate是我们最新的语音到语音模型，支持70多种语言。它能让日常产品和应用中跨语言的对话更加自然。 以下是一个示例，展示@InsideGrab的合作伙伴如何帮助旅客与司机建立联系。🚗 已在Google Translate和@GoogleAIStudio的Live API中推出。

Yuchen Jin@Yuchenj_UW · 6天前24

AGI is achieved internally and externally.

译AGI 已在内部和外部实现。

Rohan Paul@rohanpaul_ai · 6天前82

Anthropic finally released Claude Fable 5, a public Mythos-class model. Fable 5 and Mythos 5 share one underlying model, but Fable adds classifier gates for everyone while Mythos lifts some gates for vetted cyber and infrastructure partners. i.e. the public version is wrapped in classifier gates that detect sensitive cyber, biology, chemistry, and model-copying requests. When those gates trigger, the user does not get a normal refusal; the request is handed to Opus 4.8, which means Anthropic is using model fallback as a control system. Anthropic says the leap is longer-range autonomy: a 50M-line Ruby migration in 1 day, screenshot-to-code work, has a 1M-token context window, That is the crucial shift: the product is no longer just a model, but a routing machine that decides which level of intelligence a user is allowed to touch for each request. The limit is that this routing is not arbitrary and not for every subject; Anthropic says the fallback is triggered by a narrow set of topics and appears in less than 5% of sessions on average.

译Anthropic 推出 Claude Fable 5，一个面向公众的 Mythos 级大语言模型。Fable 5 与 Mythos 5 共享同一基础模型，但增加了分类器门控，检测到敏感的网络、生物、化学及模型复制请求时，将请求回退至 Opus 4.8（而非直接拒绝）。该模型具备长程自主能力：一天内完成 5000 万行 Ruby 代码迁移、截图转代码，并拥有 100 万 token 上下文窗口。Anthropic 称回退仅由窄域主题触发，平均出现在不到 5% 的会话中。模型能力超过此前所有公开发布的版本。

宝玉@dotey · 6天前77

Anthropic 今天同时发布了两个模型：Claude Fable 5 和 Claude Mythos 5。 两个模型用的是同一个底座，区别在于 Fable 5 加了一套安全分类器，面向所有用户开放；Mythos 5 去掉了部分安全限制，只给 Project Glasswing 的网络安全合作伙伴用。 简单说，Fable 5 就是"带护栏的 Mythos"。两个月前，Mythos Preview 还锁在大约 200 家防御机构手里，现在普通开发者也能用到同级别的能力了。 【Fable 5 的安全机制】 Fable 5 的安全机制不是传统的"拒绝回答"，而是降级：当分类器检测到请求涉及网络安全攻击、生物化学武器相关内容或模型蒸馏行为时，会自动切换到 Opus 4.8 来回答，并告知用户发生了降级。Anthropic 给出的数据是，超过 95% 的对话不会触发降级。 Anthropic 也坦承分类器目前调得偏严，会误伤正常请求，后续会持续优化降低误报率。 【能力到底有多强】 Anthropic 列了一堆 benchmark，但几个实际案例更能说明问题。 Stripe 拿 Fable 5 在一个 5000 万行的 Ruby 代码库里做了一次全库迁移，一天完成，原本需要一整个团队花两个多月。在 Cognition 的 FrontierCode 测试中，Fable 5 在中等算力消耗下就拿到了最高分，Token 效率比之前的 Claude 模型明显更好。 视觉能力上，之前的 Claude 模型玩宝可梦火红版需要各种辅助工具才能推进，Fable 5 只靠最基础的视觉接口就通关了。还能从截图直接还原一个 Web 应用的源代码。 在生命科学方向，Mythos 5 让 Anthropic 内部的蛋白质设计专家把药物设计流程中的部分环节加速了约 10 倍。在一项基因组学研究中，Mythos 5 在几乎完全自主的情况下工作了一周多，训练出的模型表现超过了发表在 Science 上的模型，而体量只有后者的百分之一。 【价格和可用性】 Fable 5 和 Mythos 5 的 API 定价是每百万输入 Token 10 美元、输出 50 美元。对比 Mythos Preview 的 25/125 美元，降了 60%。但比 Opus 4.8 的 5/25 美元贵了一倍，和 OpenAI 的 GPT-5.5（5/30 美元）相比，输入贵一倍，输出贵了约 67%。 订阅用户要注意一个时间窗口：从今天到 6 月 22 日，Pro、Max、Team 和企业版用户可以免费使用 Fable 5。6 月 23 日开始，使用 Fable 5 需要额外购买 usage credits。Anthropic 说等产能充足后会把 Fable 5 恢复为订阅计划的标配，但没给具体时间。 API 和按量付费的企业用户不受影响，今天起就能正常调用。 【一个容易被忽略的政策变化】 Anthropic 同时宣布，从 Fable 5 开始，所有 Mythos 级别模型的流量将强制保留 30 天，覆盖第一方和第三方平台。Anthropic 承诺不会用这些数据训练模型，仅用于安全监控，比如检测新型越狱攻击和跨请求的复杂攻击模式。但对于注重数据隐私的企业用户来说，这是一个需要评估的变化，尤其是那些之前选择 Anthropic 正是因为其零留存政策的客户。

译Anthropic同日推出两款模型：Fable 5面向所有用户，配备安全分类器（检测攻击/生化武器/蒸馏时降级至Opus 4.8，超95%对话不触发）；Mythos 5仅限Project Glasswing合作伙伴。Fable 5能力超越以往：Stripe在5000万行Ruby代码库完成全库迁移（原需两月团队→一天）；FrontierCode测试获最高分；仅基础视觉接口通关宝可梦火红版；蛋白质设计加速约10倍；基因组学中自主工作一周多，训练出超越Science论文的模型。API定价输入$10/百万token、输出$50。订阅用户6月22日前免费。所有Mythos级别模型流量强制保留30天（仅安全监控）。

swyx@swyx · 6天前70

Mythos is live! so excited to have our FrontierCode recognized as the next frontier coding bench. on FC Diamond, BOTH Opus 4.8 and GPT 5.5 don't meaningfully scale with effort, which many of you caught yesterday. Mythos/Fable posttraining have really applied that test time compute toward solving very, very long running problems - dozens of human hour equivalents, hundreds of dollars per task, for the first time ever measured. Available now in @Cognition @Devin for only 1.4x ACUs too! (I never thought i'd see this launch lol)

译Mythos正式上线FrontierCode基准测试，旨在衡量AI生成可维护代码的能力。该基准包含超1000小时维护者验证的任务，并引入3000+评分标准防奖励攻击。最高难度FC Diamond上，Opus 4.8得分仅13.8%，且Opus 4.8与GPT 5.5均未随effort扩展提升。Mythos/Fable后训练将test time compute用于数小时级长任务。基准已在Devin上线，ACU成本仅1.4倍。FC Extended中最易的1/3任务在2025年末被快速攻克——Opus从41%升至74%，标志着AI编码进入“维护可读代码”新时代。

Claude@claudeai · 6天前89

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

译介绍Claude Fable 5：一个Mythos-class模型，我们已使其安全用于通用用途。 它的能力超过我们曾经通用可用的任何模型。

Chubby♨️@kimmonismus · 6天前78

Claude 5 Fable Benchmarks! Holy moly, significant jump even to Mythos

译Claude 5 Fable 基准测试！ 天哪，甚至到 Mythos 都有显著跃升。

Chubby♨️@kimmonismus · 6天前81

Claude 5 Fable live, even in germany. Insane evals. Tessting time

译Fable 5 在几乎所有测试基准上均达到业界领先水平，在软件工程、知识工作、科学研究和视觉方面表现尤为出色。任务越长越复杂，Fable 5 相对其他模型的领先幅度就越大。已在德国上线，测试中。

Chubby♨️@kimmonismus · 6天前73

Claude 5 Fable tl;dr - It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research -The longer and more complex the task, the larger Fable 5’s lead over our other models -its more token-efficient than past Claude models - Fable 5 stays focused across millions of tokens in long-running tasks and improves its outputs using its own notes Fable 5 is more than just better benchmarks. It's more efficient, allows for longer work periods, offers better context management, and so much more. GPT-5.6 is just around the corner. I'm a huge Codex fan, but Fable/Mythos is in a league of its own. I'm curious to see if OpenAI will release its own Mythos. "During early testing, Stripe reported that Fable 5 compressed months of engineering into days. In a 50-million-line Ruby codebase, the model performed a codebase-wide migration in a day that would otherwise have taken a whole team over two months by hand."

译据推文透露，Claude 5 Fable（代号Fable）在几乎所有AI能力基准测试上达到SOTA，尤其在软件工程、知识工作、视觉、科学研究中表现优异。任务越长越复杂，其领先幅度越大；token效率高于以往Claude模型，能在百万token长任务中保持专注并自我优化输出。相比上一代Mythos有显著提升。实际案例：Stripe报告称Fable将数月工程压缩至数天，在5000万行Ruby代码库中一天完成代码库迁移（原需团队两月以上手工操作）。

Satya Nadella@satyanadella · 6天前62

Today in @naturemethods, we shared research on how AI can help us better understand cell behavior, offering new insights into why cancer medicines do not work the same for everyone. By learning more about cell state — how individual cancer cells respond to their surroundings — we have the potential to match therapies more precisely to each patient and improve outcomes. https://news.microsoft.com/signal/articles/why-dont-cancer-medicines-work-the-same-for-everyone-ex-vivo/

译今天在《自然方法》上，我们分享了关于AI如何帮助我们更好地理解细胞行为的研究，为癌症药物为何对每个人的效果不同提供了新的见解。 通过学习更多关于细胞状态——单个癌细胞如何响应周围环境——我们有可能更精确地为每位患者匹配疗法并改善结果。https://news.microsoft.com/signal/articles/why-dont-cancer-medicines-work-the-same-for-everyone-ex-vivo/

OpenRouter@OpenRouter · 6天前77

Claude Fable 5 from @AnthropicAI is live on OpenRouter! Anthropic's most capable coding model, built for long-running, ambiguous work: legacy migrations, gnarly production bugs and async sessions that run for hours or days. SOTA on nearly all tested benchmarks.

译来自 @AnthropicAI 的 Claude Fable 5 已在 OpenRouter 上线！ Anthropic 最强编码模型，专为长时间、模糊任务而建：遗留系统迁移、棘手的生产 bug 以及持续数小时或数天的异步会话。几乎在所有测试过的基准上都达到 SOTA。

OpenRouter@OpenRouter · 6天前51

AI regulations are coming, and not just for EU users. A central theme is human gates for sensitive actions. The EU AI Act (Aug 2026), Colorado's ADMT law (Jan 2027), and NIST AI RMF all require reviewable gates. The OpenRouter Agent SDK makes this easy👇

译AI 法规即将到来，且不仅限于欧盟用户。一个核心主题是：敏感操作需要人工把关。 欧盟 AI 法案（2026 年 8 月）、科罗拉多州 ADMT 法（2027 年 1 月）和 NIST AI RMF 均要求可审查的关卡。 OpenRouter Agent SDK 让这一切变得简单👇

eric zakariasson@ericzakariasson · 6天前75

go try out fable in cursor, it's an incredible but expensive model!

译快去 Cursor 里试试 Fable，这个模型很厉害但价格不菲！ Claude Fable 5 已在 Cursor 中上线，其在 CursorBench 上以 72.9% 的成绩创下新 SOTA，比此前最佳高出 8 个百分点。

AYi@AYi_AInotes · 6天前74

分享一个开源免费的省token神器，17k star，本周增速最快的项目之一， 可以把AI API账单直接砍到原来的1/5，回答质量还不变， 这就是刚火起来的 headroom，专门干一件事： 把所有要喂给AI的东西（输出、日志、文件、RAG块）先压缩一遍， 砍掉 60%-95% 的 token，最终回答质量完全没变。 最爽的是不用改一行现有代码， 直接当库、代理或者 MCP 服务器插进去就行，无缝对接所有大模型。 以前为了省token绞尽脑汁凑提示词， 现在一行配置，直接砍九成账单， 这才是所有AI开发者真正的刚需啊😲

译开源免费的 token 压缩工具 headroom 本周增速最快，已获 17k star。它专为所有 AI API 调用（输出、日志、文件、RAG 块）设计，压缩 60%-95% 的 token，将账单直接砍到原来的 1/5，且回答质量不变。无需修改一行现有代码，可作为库、代理或 MCP 服务器无缝对接所有大模型。开发者无需再绞尽脑汁凑提示词，一行配置即可大幅降低 API 成本。

OpenCode@opencode · 6天前65

North Mini Code is now free on OpenCode 256K Context · fully open source Cohere's first coding model

译North Mini Code 现已在 OpenCode 上免费提供 256K 上下文 · 完全开源 Cohere 的首个编程模型

OpenAI Developers@OpenAIDevs · 6天前76

Your app can now search the web for images. Web search in the Responses API now supports image results in addition to text results, so you can build apps that surface products, places, visual references, and source links for inspiration.

译你的应用现在可以搜索网页上的图片。 Responses API 中的网页搜索现在除了文本结果外，还支持图片结果，因此你可以构建能展示商品、地点、视觉参考和来源链接以激发灵感的应用。

ClaudeDevs@ClaudeDevs · 6天前86

Claude Fable 5 is here. New model generation, new way of working. Here's how to get started in Claude Code and on the Claude Platform: 🧵

译Claude Fable 5 来了。新模型世代，新工作方式。 以下是在 Claude Code 和 Claude 平台上开始使用的方法：🧵

🚨 AI News | TestingCatalog@testingcatalog · 6天前81

BREAKING 🔥: Claude Fable 5 (Mythos) is rolling out on Claude and APIs! It is happening 👀

译BREAKING 🔥：Claude Fable 5（Mythos）正在 Claude 和 API 上推出！ 它正在发生 👀

🚨 AI News | TestingCatalog@testingcatalog · 6天前70

ANTHROPIC 🔥: Claude Fable 5 is included in a usage plan until June 22 and will take 2x usage of Opus. Testing time until June 22 👀

译ANTHROPIC 🔥：Claude Fable 5 被纳入一项使用计划，有效期至 6 月 22 日，用量为 Opus 的两倍。 测试时间至 6 月 22 日 👀

elvis@omarsar0 · 6天前81

NEW: Anthropic introduces Claude Fable 5, a Mythos-class model for general use. Beginning of a new class of frontier models.

译NEW: Anthropic 推出了 Claude Fable 5，这是一款面向通用用途的 Mythos 级模型。 新一代前沿模型的开端。

Yuchen Jin@Yuchenj_UW · 6天前32

Claude Fable 5 (Mythos) is finally out! This is what I was looking for!!!!!!!!!!!!!!!!!!!!

译Claude Fable 5 (Mythos) 终于发布了！ 这正是我一直在寻找的！！

Yuchen Jin@Yuchenj_UW · 6天前71

Claude Fable 5 / Mythos 5 wins everywhere. I thought Fable 5 was just a nerfed Mythos Preview, but it’s literally better. SWE-Bench Pro: Fable 5: 80.3%, GPT-5.5: 58.6%. And the price is only 2x Opus 4.8: $10/input MTok, $50/output MTok. I don't think GPT 5.6 can beat this...

译Claude Fable 5 / Mythos 5 全面胜出。 我以为 Fable 5 只是弱化版 Mythos Preview，但它实际更强。SWE-Bench Pro：Fable 5：80.3%，GPT-5.5：58.6%。 而且价格仅为 Opus 4.8 的 2 倍：$10/输入 MTok，$50/输出 MTok。 我认为 GPT 5.6 无法超越这个成绩。

Rohan Paul@rohanpaul_ai · 6天前69

A new open-source agent engine is trying to make AI sessions continuous across days. 🧠 Kocoro is a Mac-native AI agent trying to fix one of the most annoying problems in daily AI work: every new session forgets what happened before. Kocoro reviews your workday locally every night, then trains a light memory model over the cloud (by using TensorLogic), downloads it back, and the next morning picks up exactly where you left off — no re-pasting, no re-explaining. It knows where your projects live, what you were changing yesterday, which tools you reach for. It can open the browser, operate desktop apps, organize files, update documents, and carry a task across several apps without you stitching the steps together by hand. And what's cool is that they have made Kocoro's kernel is open source with a Github repo. Because an AI that operates your computer has to be verifiable, auditable, and under your control. Something that drives your machine shouldn't get there on "trust us." You can run the kernel from the command line with Shannon, or you can install the desktop app and never touch a terminal. Either way, the process is meant to be open — visible enough to inspect, editable enough to bend, and easy enough to switch off. Real memory isn't keeping every word. It's knowing what matters, what will shape the next decision, and what changes over time. You don't remember every sentence your colleague said last quarter — you remember that they hate surprise meetings, that the Q3 launch slipped

译Kocoro是一款Mac原生AI智能体，旨在解决AI会话每天重启后遗忘上下文的痛点。它每晚在本地审查工作内容，通过TensorLogic在云端训练轻量记忆模型，次日自动恢复上次中断的会话状态，无需重复粘贴或解释。Kocoro能感知项目文件、追踪昨天的变更、打开浏览器、操作桌面应用、整理文件并跨多个应用执行任务。其内核已在GitHub开源，确保可审计和用户可控。用户可通过命令行（Shannon）或桌面应用运行。

Ethan Mollick@emollick · 6天前65

I've had access to Fable for a bit. A genuine jump in capability, I could feed it a 15 page design document for a project and it would work for 9+ hours and deliver terrific results. But working with it is weird & weirder is coming Lots of examples: https://open.substack.com/pub/oneusefulthing/p/what-it-feels-like-to-work-with-mythos?r=i5f7&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

译我曾短暂使用过 Fable。能力确实跃升，我可以给它一份 15 页的项目设计文档，它能连续工作 9 个多小时并输出极好的结果。 但使用它的感觉很奇怪，而且更奇怪的东西即将到来。 大量示例：https://open.substack.com/pub/oneusefulthing/p/what-it-feels-like-to-work-with-mythos?r=i5f7&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Fei-Fei Li@drfeifei · 6天前78

The creativity and imagination is out of the world! So grateful that @theworldlabs got to partner with the amazing talents @withloreco to translate their incredible ideas into an interactive experiences for users to enjoy!🤩

译创意和想象力无与伦比！非常感谢@theworldlabs能与@withloreco的优秀人才合作，将他们不可思议的想法转化为用户可以享受的互动体验！🤩

Chubby♨️@kimmonismus · 6天前68

"Fable 5 requires usage credits. Update Claude Code to the latest version to learn more."

译Fable 5 需要使用积分。请将 Claude Code 更新至最新版本以了解更多。

Chubby♨️@kimmonismus · 6天前66

Most "chat with your data" tools are still black boxes. You ask a question, you get a number, and you have no real way to know whether the model invented it. Mora goes the other direction. It maps the question to a semantic layer, runs SQL against your actual schema, and puts the query and the underlying rows right there in the panel. You can verify every number yourself, or fix the join if it got it wrong. Add an MCP layer so the same engine runs inside Claude and Cursor, and this stops looking like another AI demo and starts looking like governed self-serve that data teams might actually trust. Worth a look if you are tired of being the bottleneck for every revenue question.

译大多数“与数据聊天”工具仍是黑箱，用户无法验证答案。Mora反其道而行：将问题映射到语义层，直接对实际schema运行SQL，并在面板中展示查询语句与底层数据行，用户可自行验证或修正。通过添加MCP层，同一引擎可在Claude和Cursor中运行，使数据分析变得可治理且可信。引用@pladevall称，分析是AI最大机会，目前工具远未满足需求，因此今天正式发布Mora。

fofr@fofrAI · 6天前70

Gemini 3.5 Live translate: Stream in speech, and stream out the spoken translation. It also magically works with multiple speakers. It does not work with Klingon (I tried). Try it on AI Studio: https://aistudio.google.com/live?model=gemini-3.5-live-translate-preview

译Gemini 3.5 Live translate：流式输入语音，并流式输出口语翻译。 它还能神奇地支持多人说话。 它不支持克林贡语（我试过）。 在AI Studio上试试： https://aistudio.google.com/live?model=gemini-3.5-live-translate-preview

MiniMax (official)@MiniMax_AI · 6天前36

MiniMax is headed to Cupertino for AiOS Meetup — WWDC ’26 Edition on June 11. Apple platforms. On-device AI. AI-native apps. A room full of builders fresh off WWDC. Speakers include @awnihannun, co-creator of MLX, and @peterfriese, sharing more on Gemini models via Firebase and Apple Foundation Models. Every attendee gets $50 in credits to try MiniMax M3. Hosted by @rudrank, @ronaldmannak, @rayfernando, and @CommunityKit. See you there. Details in the comments. #WWDC26 #MLX #Firebase #AppleAI #OnDeviceAI

译MiniMax 宣布参加 6 月 11 日在 Cupertino 举办的 AiOS Meetup（WWDC'26 版），聚焦 Apple 平台、端侧 AI 与 AI 原生应用。演讲嘉宾包括 MLX 联合创始人 Awni Hannun 和 Peter Friese，将分享 Gemini 模型（通过 Firebase）及 Apple Foundation Models。每位参会者可获得 $50 积分用于体验 MiniMax M3。活动由 CommunityKit 等多位人士主办。

Luma@LumaLabsAI · 6天前78

The Ray3.2 API runs cinematic-grade at scale and integrates into the products you already build. Made for developers, agencies, and enterprises building cinema inside the products they ship. Start building → http://lumalabs.ai/api

译Ray3.2 API 可大规模运行电影级渲染，并集成到您正在构建的产品中。专为在交付的产品中打造电影感的开发者、代理机构和企业而设计。 开始构建 → http://lumalabs.ai/api