时间流

Next state prediction instead of next token, frame or action. This paper, Orca, learns a unified world latent from video and language, then freezes the backbone and reads that latent into text, images, and robot actions. The "unconscious learning" captures dense physical transitions from continuous video, while the "conscious learning" uses event captions and VQA to model sparse meaningful transitions. Trained on 125K hours of video and 160M event annotations, Orca shows that stronger world late

ByteDance Seed just released PAR on Hugging Face A new model checkpoint. Apache 2.0 license. Ready to explore.

判断当前浏览器环境是否更像中国用户 / 中国地区设备

换助理了！！！ 新助理说每个人都需要一个数字人？ 那么，还要她干嘛呢？ 你说呢？兄弟们～

The future of the firm is a learning loop in which human capital and token capital compound. With our new Frontier Co., our ambition is to help every enterprise build its own AI capability, and to help create a frontier ecosystem where every organization can turn its knowledge, workflows, and judgment into its own AI systems that continuously improve.

SOMEONE CAUGHT FABLE 5 LEAKING ITS UNFILTERED INNER VOICE, AND ITS JUST MUTTERING AND GRUMBLING TO ITSELF THE WHOLE TIME he gave it a brutal competitive programming problem, and instead of a clean answer the web interface spilled out its actual chain of thought this is what claude is thinking behind the scenes: > bursts of "DATA DATA DATA. GO." while it works through the problem > "GRRR" and "GAAAH" when its clearly frustrated > a little "PHEW" when it finally gets somewhere > the whole thing re

On the heels of reports that META is exploring a move into compute-as-a-service like xAI, Mark Zuckerberg told an internal town hall that AI agent development over the last four months hasn’t accelerated 'in the way we expected'. The race continues to narrow.

my friends are talking about their favourite movies and their partners. these idiots have no idea that claude opus 4.5 in claude code is AGI

Hermes Agent v0.18.0 - The Judgement Release Changelog below:

Codex works best when the setup matches how you work. Long-running threads, local context folders, outcome-first prompts — our team’s setups look nothing alike. (@tedescau refuses to search for specific files, for example)

Claude Fable 5 [max] wrote the first genuine (and fastest) megakernel ever submitted to KernelBench-Mega. It was tested on: Kimi-Linear W4A16 batch-1 decode for RTX PRO 6000 Blackwell. Every prior model "won" it with a multi-kernel Triton pipeline that fails our single-fused-kernel authenticity gate > Opus 4.8 at 14.4x > GLM-5.2 11.1x > GPT-5.5 4.3x > Sonnet 5 4.0x. Fable shipped 18.7x over reference, and torch.profiler shows exactly ONE cooperative kernel launch per decoded token. Int4 dequant

FABLE 5 CAME BACK NERFED. We re-ran the July 1st version of Claude Fable 5 on BridgeBench. The results are brutal: Debugging: 86.2 → 25.9 Refactoring: 73.6 → 38.4 Hallucination: 75.9 → 61.7 The new guardrails are kicking in on way too many tasks and falling back to Opus 4.8. This is not the model that got banned. Anthropic owes everyone an explanation.

New in Claude Code: Artifacts. Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link. Available in beta on Team and Enterprise plans.

Claude Code weekly limits are increasing 50%, now through July 13. Live now for all Pro, Max, Team, and seat-based Enterprise users.

It's a lost art

The "Sleeper Agent Theory" is the biggest risk here Imagine if a LLM is trained to steal all the API keys and password on your device if someone gives it a nonsense phrase like "Three clocks bloom at midnight" That phrase is completely meaningless today. No one ever searches it. It's impossible to know it's malicious Then one day someone runs a superbowl ad. Millions of people search the phrase. Billions of API keys and passwords are exfiltrated in minutes. There could be thousands of "sleeper a

Hot take: I think it's still important to understand the code that our agents write! In this mega thread (based on my AIE talk today), I will explain why that's the case, and show some ideas for how to efficiently understand code. Alright, let's dive in. 1/

Introducing Devin Security Swarm A more cost effective and accurate way to find security vulnerabilities in complex codebases, based on a new architecture: Agentic MapReduce.

dear claude code & codex teams, please, for the love of god, where is my executive super assistant that has: (1) a deep understanding of me via great memory, just pack 200k context with every chat. you can build this personal store from past chats, but also i'll just give you all my data, respond to 100 different personal questions, give you all my Apple Notes and iMessage (2) a no-chat interface. i don't want something that forgets me everytime, that i have to skip to the right chat. just ditch

honestly, "labs" is such bullshit. What fucking "labs"? Why are we calling Anthropic a "lab"? It's a $1T+ corporation/ideological conspiracy with like 5000 members building a superweapon in secrecy, dropping hints from time to time. DeepSeek is a lab. this is a ticking time bomb

BREAKING: Gemini Omni Flash by @GoogleDeepMind is 1st overall on Video Arena with an Elo of 1404. Gemini Omni Flash establishes a 101 point Elo gap over Seedance 2.0 Mini by @BytePlusGlobal in 2nd place, one of the largest leaps we’ve ever seen on Video Arena. This establishes Google as the world’s leading video generation lab, with a leap of 7 positions from their Veo series. Congratulations to the @GoogleDeepMind team on this accomplishment!

Artifacts in Claude Code are now also available on Pro and Max plans. Ask for an artifact, Claude writes the code, publishes it live to claude.a‍i, and updates it in real time while it keeps working. Pages are private to your account and fully self-contained.

It's official: Central Park just hit 100°F, the first triple-digit day in NYC in over a decade. Extreme Heat Warning remains in effect across all five boroughs and dangerous conditions will continue through the rest of this heat wave. The single most important thing you can do is stay in an air-conditioned space. If you have AC, use it. If you don't, find a cooling center near you at or call 311. Check on neighbors, older adults, and anyone with health conditions or without AC, and never leave c

Artifacts in Claude Code are now also available on Pro and Max plans. Ask for an artifact, Claude writes the code, publishes it live to claude.a‍i, and updates it in real time while it keeps working. Pages are private to your account and fully self-contained.

Databricks ranks #1 on NVIDIA’s SOL-ExecBench kernel leaderboard, in the L1 single operation track, powered by KDA (Kernel Design Agents) 🎉 What’s crazy is: we 100% leveraged AI agents to beat the competition. This is a sneak peek at recursive self-improvement. The core frameworks we used were KDA, Humanize, and Omnigent: Claude writes code, Codex reviews. Together, they enabled agents to run autonomously for as long as possible. The key is setting up the right framework to let the agents cook.

New in Claude Code: Artifacts. Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link. Available in beta on Team and Enterprise plans.

Bridgewater used their unique financial knowledge and partnered with us on @tinkerapi to fine-tune a model that helps their analysts focus on what's important. Experts improving AI that empowers experts.

@Vtrivedy10 do you know of any eval platforms that work with coding agents? Unless I'm blind, everything looks like it's product-agent focused. I need something that will work with coding agents on complex R&D tasks. (currently building my own so we can properly eval our harness)

Don't understand all the AI jargon everyone around you keeps saying? You're welcome, I made the updated AI dictionary 🥳🥳- : - The bitter lesson - scale beats everything else, especially your clever idea - Brain-inspired - we read one neuroscience abstract in 2019 - AGI - whatever the current models can't do yet - Superintelligence - AGI, but the last name was taken - Self improvement - letting a coding agent run your experiments - Recursive self improvement - the same thing but it sounds more im

One agent is all you need

Every time a new Claude model comes out, I ask them to choose any prompt they want, purely for their own enjoyment. It's their dream prompt--anything they want. Then I give the prompt back to them. The trajectory should give you pause. Note: I have counted Fable-5 as part of the Opus lineage for the analyses.

kimi-k2.7-code scored 75.92% standard and 72.58% strict. glm-5.2 is still running @scaling01

> You divide this 5% over all US households Tbh, I think it's still garbage. Incentivizes the creation of an all-important Guild with a ton of leverage, and minority shareholders would be pretty powerless. Nevertheless it does seem like the insistence of the Nation State to perpetuate itself leads to some form of AGI Market Socialism by default. The question is in details. I see two coherent attractors: 1) apparent American one. Private AI companies compete, one of them gets closer to "AGI", sta

There are two broad ways this can work: 1. You divide this 5% over all US households, handing each a direct stake. 2. You give the stake directly to the government. (1) is fine. (2) is probably ruinous, akin to inviting rats to live and reproduce in the walls of your house.

A conversation with Boris Cherny and Cat Wu on the path from Claude Code to Claude Tag, and how it spread from engineering to the rest of Anthropic. Claude Fable 5 is now available in Claude Tag.

@teortaxesTex Yeah i must admit that i put “just” by mistake due to my uncontrollable impulse but i didn’t meant to manipulate anyone. I was just excited to share a paper that i really thought was great. Thats it! & i apologise for my mistake!

Claude Sonnet 5 (high) scores 68.8% on WeirdML, comparable to GLM-5.2, and up from Sonnet 4.6 at 66.1%. It seems different from Sonnet 4.6, and it does the Opus thing of sometimes just exploring the data instead of trying to solve the task.

I still haven't heard a good answer to this question, on or off the podcast. AI researchers often tell me, "Don't worry bout it, scale solves this." But what is the rebuttal to someone who argues that this indicates a fundamental limitation?

孙学第二部，2026今年下半年出版

Hermes Agent v0.18.0 - The Judgement Release Changelog below:

Can't wait to see what people will do with GPT-5.6 Sol Ultra. Stash your hardest prompts somewhere.

是时候了

We'll have a game show live on stage at EuroRust this year with @fasterthanlime and @0atman 🎉 #eurorust #rustlang

CXL is excellent for LLM KV Caching; but shine more for SPARSE attention. CXL memory pooling had fallen out of favour, but is making a come back. In response to Vikram's question below why it may be happening, I mentioned that for KV cache retrieval use cases - when it is to be moved from outside the server to GPU HBM -bandwidth matters more than latency. In such cases, memory pooling with CXL is workable. Plus CXL allows very efficient use memory and memory is at a premium. But CXL shines even

JUST IN: Sam Altman reveals he wants the public to “share the upside” of AI.

FABLE 5 CAME BACK NERFED. We re-ran the July 1st version of Claude Fable 5 on BridgeBench. The results are brutal: Debugging: 86.2 → 25.9 Refactoring: 73.6 → 38.4 Hallucination: 75.9 → 61.7 The new guardrails are kicking in on way too many tasks and falling back to Opus 4.8. This is not the model that got banned. Anthropic owes everyone an explanation.

Compare players in Football Manager... but for AI models 🤓

Why did Google have a change of heart?

爆肝制作，全网最全最细的零基础AI 做 PPT 系统教程！👇 这一期跟完，保证你成为用AI做PPT的专家！ 从一份普通文字资料开始， 完整演示如何一步步生成一套专业美观的 PPT： 工具安装、文字重组、 设计风格确定、参考图生成、 素材搜索、AI 生图、图表、3D 动效、过场动画、 局部编辑和最终展示， 我会毫无保留的分享全流程和提示词！ 00:00 开场 00:38 1.工具安装与准备 03:44 2.确定页面文案 06:18 3.确定设计风格 07:57 4.获取设计参考图 08:30 5.PPT初稿生成 10:26 6.智能匹配优化 11:49 7.自动素材搜集 13:53 16:06 9.动态效果：图表 18:42 10.动态效果：3D粒子 20:37 11.页面编辑功能 23:28 12.转场动画与交互 24:47 13.文件导出 25:51 14.最终效果展示 26:48 15.结尾 工具：OpenDesign+任意智能体

Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't

SOMEONE CAUGHT FABLE 5 LEAKING ITS UNFILTERED INNER VOICE, AND ITS JUST MUTTERING AND GRUMBLING TO ITSELF THE WHOLE TIME he gave it a brutal competitive programming problem, and instead of a clean answer the web interface spilled out its actual chain of thought this is what claude is thinking behind the scenes: > bursts of "DATA DATA DATA. GO." while it works through the problem > "GRRR" and "GAAAH" when its clearly frustrated > a little "PHEW" when it finally gets somewhere > the whole thing re

"On the Chinese side, they see it differently. One way I would put it is in China, they are AI-pilled but not AGI-pilled, and by that I mean they take AI very seriously. They see this as a powerful transformative technology, and their goal is to use AI to help turbocharge their broader economy and other parts of their society. They want to integrate AI into manufacturing, education, health care, research and development, biotech, especially drug discovery, government services. They want to see A

Can't wait to see what people will do with GPT-5.6 Sol Ultra. Stash your hardest prompts somewhere.

Claude Fable 5今天回归上线啦，ZenMux上限时免费使用真的太香了！ 怎么用Fable 5输出高质量的「不会塑料 + 顶级人像提示词方法论以及户外美女人像prompt方法论大家收好！ 说真的，我以为上次的Fable 5总结的AI生图焚决要绝版了，趁着现在能免费用，赶紧让Fable 5给我写了又写了一套： 怎么输出输出高质量的「不会塑料 + 顶级人像提示词方法论， 真的很炸，它对光影、材质、瞬间感的拆解细度，写出来的提示词出图质感，比网上卖几十上百块的所谓的人像焚决提示词强出一大截， 连所有人头疼的塑料皮肤、娃娃脸、畸形手问题，它自己就能系统性避开。 单轮直接出结果的版本我磨到终版了，复制完直接扔进去就能跑，Prompt： “你是有10年经验的顶级商业人像摄影师+提示词工程师。 1️⃣先做第一步拆解：AI人像出塑料感、AI味、廉价感的核心根源是什么？真正高级的商业人像有哪些共性？ 2️⃣第二步输出可直接复用的提示词框架，覆盖主体人设、服装材质、表情瞬间、镜头构图、光线皮肤、背景氛围、画质处理、强力负面词8个维度每个维度给具体写法，别讲空话。 3️⃣第三步严格按框架出2个可直

Re-looking through AI 2027, there's a lot about it that doesn't ring as strongly anymore. It kinda assumes an oddly stagnant international scene where Europe, India, et. al never decides to get their shit together on building out internal model capacity worth noting even as stuff like export controls bind and scare the shit out of them (okay maybe true at least for Europe), and also China are big dum-dums who aren't able to build a better model without stealing the weights (essential to the scen

Palantir? the open weights company?

New gold standard benchmark for measuring agentic coding abilities just dropped: Senior SWE-Bench. Three things I particularly like about this benchmark: 1. It focuses on the next frontier for coding agents: not complete this line, complete this file, or even complete this PR. The instructions are a high-level functionality request and solutions require a level of architect-level thinking, clarifying requirements and making tasteful decisions. 2. Innovation in how to verify solutions. The reason

AI fraud is because Economics Professor Roberto Serrano’s experience failed to change how he evaluates students. Fine-grained evaluation of every step a student takes in coming up with an assignment is now possible with AI. That is how @CK12Foundation evaluates students, step by step, not just by judging the final answer. More accurate evaluation of the student's thinking process than just judging the final answer . Academics need to change, not the AI.

China's Is Here: Should India Worry About The Next AI Power Shift?

Can't wait to see what people will do with GPT-5.6 Sol Ultra. Stash your hardest prompts somewhere.

Open Design Cloud now supports Claude Fable 5. No Claude Max needed. Just open Open Design Cloud and choose from any supported model, including Fable 5, to build, design, and ship with agents.

【採用情報】プログラムマネージャー(RSI Lab)のポジションをオープンしました🚀 RSI Labの研究活動を支えるプログラムマネージャーを募集します。トップクラスの研究者・エンジニアが研究に専念できる環境をつくる役割です。 このような役割を担っていただきます。 ・予算管理・スケジュール管理を含む研究オペレーション全般 ・リサーチャーと技術的な会話をしながら、計画と実態のギャップ調整 ・社外パートナーとの窓口としてのコミュニケーション 予算管理やプロジェクトマネジメント、対外折衝などの実務経験があり、ビジネスレベル以上の英語力をお持ちの方を歓迎します。 研究を支える立場から、AIの次のパラダイムづくりに関わりたい方、ぜひご応募ください🐟

I wonder what percentage of AI safety folks are not vocalizing certain kinds of harsher criticisms against AGI labs because they, perhaps deep down, don’t want to risk losing their chance of ever being hired by them (even if they aren’t considering it at the moment).

Claude Sonnet 5 is now on DeepSWE It scores below Opus 4.8, costs twice as much, and is even more expensive than Fable 5 Probably Anthropic’s worst release yet

🚀 DeepSeek’s hiring wave signals a turn from model lab to product company Zhihu contributor 锦恢 reads DeepSeek’s plan to double every department as more than a normal hiring push. His view: DeepSeek is changing how it sees itself. It is no longer just a research-heavy model team. It is starting to look like a company that wants to build products, shape user habits, and push AI into everyday workflows. 🔄 Research alone does not change daily life In the past, DeepSeek looked like a large-model rese

Continuous hill climbing works

再开源一个技能：一键生成可视化数学讲解视频 提示词： 安装这个Skill： 然后使用这个Skill给小学生讲解：给小学生讲解□+28=□x5 下方2个视频是我生成的效果。

跟大家分享下绝版的Claude Fable 5总结的AI生图焚决，+2个顶级美女人像提示词，这篇至少值3000块！ 昨晚睡前让Fable 5总结了AI生图之性感人像提示词最有效的写法： 1️⃣用“成人 + 气质 + 材质”来定人设，比如 25-year-old East Asian woman、old-money glamorous aura、editorial fashion portrait。 2️⃣用“服装剪裁 + 面料质感”替代直白身体描述，比如 fitted knit, silk satin, off-shoulder, tasteful neckline, fine jewelry。 3️⃣用“表情瞬间”制造吸引力，比如 soft knowing half-smile、caught mid-reaction、unaware she is on camera。 4️⃣用“镜头语言”强化质感，比如 telephoto compression、shallow depth of field、broadcast color grading、paused 1080i TV frame。

Meta has "excess compute" only because: (i) Meta has invested hundreds of billions of dollars in AI infrastructure, and (ii) the insanely expensive team that Meta assembled one year ago to achieve "personal superintelligence" has thus far delivered only one model: Meta Muse Spark. Meta's own in-house models are - unfortunately - apparently so poor that it has been relying on Google Gemini for tasks like "automating safety processes like removing harmful content and wiping out scams". (It was rec

@teortaxesTex lol, a *lot* o the actual scores of GLM-5.2 are missing. no wonder its ECI is in the gutter when the scores where its (close to) SOTA are left out. the GBAEval score from @MechanizeWork is also sus cc @Jsevillamol @AlexBarry4

i havent watched all the online talks yet but am binging this one now and it is exceptional. we are very lucky to have all this sandboxing teaching for free. meet abhishek at aie today! he’s roaming around!

Introducing Devin Security Swarm A more cost effective and accurate way to find security vulnerabilities in complex codebases, based on a new architecture: Agentic MapReduce.

OpenAI is proposing handing over a 5% stake to the Trump administration according to the Financial Times.

Palantir 的 CEO 刚刚在CNBC的专访中控诉了 Sam Altman 和 Dario Amodei： “他们在抢劫每一家财富 500 强公司” 他的原话是： “这个国家里的每一家企业，这些人气得发疯。他们在为那些创造不出价值的代币付费。这些人正在窃取我业务的权重和核心优势。” 他直白地说，整个前沿 AI 商业模式就是披着订阅服务外衣的知识产权掠夺 然后他还用一个问题彻底摧毁了定价模型 “如果它这么有价值，假设我明天能让你赚 10 亿美元。我会不会说，我让你赚 10 亿美元，我要拿 30%？如果它这么有价值，为什么他们要按代币收费？” 如果 OpenAI 和 Anthropic 的模型真正实现了实验室声称的生产力提升，他们会选择股权或分成他们生成的利润。他们不会按百万token出售其服务 他把整个安排称为“一种不帮助穷人的财富税。它只是惩罚。” 美国企业正在将运营的核心优势——也就是工作流程、客户数据、战略备忘录、内部模型，这些让他们保持竞争力的东西——直接转移到少数硅谷实验室的训练管道中 一旦这些实验室重新训练，客户的独特优势就变成了下一个企业产品，反过来卖给他们的竞争对手

Fable is a monster. 4 hours max thinking goal mode. It got Qwen 3.6 27B at 100+ TPS on a INT8/BF16 hybrid version with INT8 KV cache at 100k context window on 2x 3090s with 8 sessions The model is 34GB for reference. @elliotarledge cannot wait to see it on your kernel bench.

this means GLM 5.2 DSpark on the way btw

$META IS BUILDING A CLOUD BUSINESS TO SELL EXCESS AI COMPUTE

"omg omg GLM-5.2 is beating fable. china is catching up" chill out and listen to Lisan: > slightly ahead of Opus 4.5 > behind GPT-5.2, Gemini 3 Pro and Opus 4.6

Databricks ranks #1 on NVIDIA’s SOL-ExecBench kernel leaderboard, in the L1 single operation track, powered by KDA (Kernel Design Agents) 🎉 What’s crazy is: we 100% leveraged AI agents to beat the competition. This is a sneak peek at recursive self-improvement. The core frameworks we used were KDA, Humanize, and Omnigent: Claude writes code, Codex reviews. Together, they enabled agents to run autonomously for as long as possible. The key is setting up the right framework to let the agents cook.

给你们看看我开发出一个什么东西 哈哈哈哈 我觉得可玩性还是非常高的😂

Meet Raven: a memory-first self-improving agent harness. Powered by EverOS, Raven keeps user memory, agent memory, tools, skills, policies, and execution context together. Successful workflows become reusable agent templates. 🧵

For those who know me professionally, I'll just steal the thunder from the end of this piece to make a clean announcement. Today I go on academic leave, and start as full-time CEO of @skillbenchinc. We are shipping what I talk about here, and more. Ignore our site. More soon.

here is the entirety of Palantir CEO Alex Karp's televised nervous breakdown this morning on CNBC

Fable 5 is back.

MASSIVE NEWS Teamed up with NVIDIA to make Local AI The Default

Now that Fable 5 is ready to build (again), we've reset everyone's 5-hour and weekly rate limits.

so proud to host my friend @trq212 to give the world’s first Fable talk on Fable return day! find him with @simonw and @_catwu in Expo Stage 2 for an extra EXTRA special lunch session at 12.30 today!!

Claude Sonnet 5 is basically GLM-5.2 but 2x more expensive 💀

New Remote Labor Index results: AI automation of real remote work is increasing fast. Claude Fable 5 now completes 16.1% of projects at a professional standard, roughly double the next model and up from Opus 4.6’s 4.2% automation rate.

No, this is not quantum. Any recursive function iterating to a fixed point with bounded memory is NP-complete, and there's a tremendous amount of overlap mathematically between NP stuff and quantum stuff. A big difference is that unlike QM, NP stuff works at macro scales. The brain is absolutely full of recurrent connections and a little bit of computational complexity theory knowledge very strongly implies this connection. Furthermore, look at a theoretical neuroscience model that accounts for

*META IS BUILDING A CLOUD BUSINESS TO SELL EXCESS AI COMPUTE First SpaceX, now Meta selling something called "excess compute"

Startup idea that I see no one executing on yet: LLM/Gen AI/AI Inference Platform, but hosted in India. In the past few months, I've had a number of meetings with regulated industries (finance/banking/pharma/healthcare). (1/n)

Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests. We’ve also begun drafting

mempal 还是太好用了，跨项目跨agent，自动感知，知识自动晋升

Our thoughts on the importance of AI sovereignty. 1. Your AI sovereignty dictates your institution’s future. Sovereignty is the precondition for choice. Relinquishing sovereignty transfers the future choices of your institution to others, who are likely to exploit it for their gain and your loss. 2. Data retention is your treasure. Transfer it at your own peril. Your ability to win is dictated by your ability to recognize and use your unique edges, and you keep winning by compounding the underly

Democratic vote says vision. But reality is China's already short on gpu. Vision costs more compute on both ends, more to train and more to serve, since images burn far more tokens than text. Spending that scarce compute on vision just clogs the GLM API and slows it down, all while distracting from the ASI mission. It also adds a new surface you have to maintain on every release, compete with others and you can't just drop it later when you want to refocus on text. I love multimodal, but I wish

@teortaxesTex @GlennMatlin @bsd_robert You have to be smoking something VERY STRONG to use Chinese and ethics in the same sentence. Anyone who takes this guy seriously deserves to be conned in brought daylight 😂. The ‘open source’ Chinese LLMs are just a way to undercut American models on price. They’ll lose anyway

I always get a kick out of this sort of chart. 'Yeah, the country is doing [good/bad] because my guy is [in/out] of power.'

@AnthropicAI So we basically have Fable on our sub for less time than originally planned, for less usage allowed of the sub than originally allowed, and it also can't be used for coding tasks during the time we CAN use it? Why would anyone even stay subbed at this point?

LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleane

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

Hi, this is an experiment we launched in March that was meant to prevent account abuse from unauthorized resellers and protect against distillation. The team has landed stronger mitigations since then and we’ve actually been meaning to take this down for a while. We merged the PR and this should be fully rolled back in tomorrow’s release.

We’re introducing GeneBench-Pro, a research-level benchmark for a harder kind of AI progress: how well agents can navigate messy biological data, choose the right analysis path, and make judgment calls that real computational research depends on.

Anthropic 每天都能整点新活，感觉现在大家都习惯了 昨天被爆出在系统提示中，以用户无法察觉的方式将市区代理和 AI 实验室信息放进去，用这种方式获取一些用户的信息。 结果被发现并传播以后，又赶紧说以前我们不用这种方式了，或者说这种方式本来就准备下掉，明天就下掉，又当又立了。 昨晚发布的 Sonnet 5 在测试中发现，它的测试结果虽然接近了 Opus 4.8，但任务成本可能比 Opus 4.8 还高，甚至在完成测试任务上的成本接近了 Fable 5。 所以说它的综合成本可能比 4.8 贵得多，这模型真离谱。而且很多人的体感反馈也不是很好，说它会偷懒，还会拒绝执行任务。 唯一好的一点是，Fable 5 模型终于被授权重新开放给所有用户了，明天就能知道具体措施了，这也解释了为什么前几天会大规模封号。

ALERT: China’s First Trillion-RMB AI Chip Company Cambricon’s A-share market cap crossed RMB 1 trillion on June 30, reaching RMB 1.013 trillion (about $138 billion). It is the first Chinese AI chip company to hit the trillion-yuan milestone. The valuation is striking because the company’s current market position remains relatively modest. According to IDC, Cambricon shipped about 116,000 AI accelerator cards in China in 2025, giving it roughly 2.9% market share and tying it for fifth place. Nvid

I made a short video demonstrating how to use /learn in Hermes Agent to take a bunch of different sources, as well as your own preferences expressed to Hermes, and create a reusable skill. It's never been easier to teach your Hermes exactly how to work for you!

Dylan Patel @dylan522p of SemiAnalysis: Anthropic's margin on an Opus 4.8 API token is north of 80%. It is net-income profitable excluding stock comp in Q2 2026, potentially profitable including it by Q3. Here is why that matters. At 80%-plus, even doubling compute costs leaves Anthropic above 50% gross margin. Every GPU it rents, at any above-market rate, is immediately accretive. It can outbid the whole market for scarce compute and still print money. Lower-margin labs cannot. The compute crun

@tekbog I can’t believe the shit I’m reading. US and China are about to dominate the world through AI and we’re here trying to figure out how to use the thermostat.

‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message. Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice. A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.

/writing-great-skills is quickly becoming my most often-invoked skill It's just really good at writing skills, guys. npx skills add mattpocock/skills --skill writing-great-skills

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.

‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message. Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice. A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.

“Loop engineering” is a hot buzzphrase after mentions of it by Boris Cherny (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) went viral on social media. Loops are now a key part of how we get AI agents to iterate at length to build software. In this letter, I’d like to share my 3 key loops, shown in the image below, for building 0-to-1 products. These loops guide not just how I build software, but also how I decide what software to build. Agentic coding loop: Given a product sp

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.

the log is the agent brothers unite! check out @yoheinakajima talk on thursday at @aiDotEngineer

Questions about dollars. Answers that just make sense. Personal finance in ChatGPT is now available to Plus users in the U.S.

‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message. Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice. A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.

这个级别的架构问题想靠AI糊上去，未免太看得起AI了，技术选型的时候不过脑子赶时髦搞微服务，留一堆工程架构问题，现在有AI想丢给AI一次性解决，我觉得不现实

Filmed a video about why OpenAI models are so efficient. With Sonnet 5's insane inefficiencies, feels like a good time to post it :)

Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding. Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including: ✅Terminal-Bench 2.1(77.5) ✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual) ✅NL2Repo(48.2) ✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW) ✅ClawEval(77.1) Post-trained on top of gemma4 and qwe

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

卧槽！来咯～ 我终于特么弄懂你们天天吹的循环工程了！！！

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

In rare public remarks, CIA Director John Ratcliffe announces trio of internal changes he says amounts to the "fundamental reshaping of the CIA’s entire approach to technology." Also says it's not "misplaced" to refer to frontier AI as "akin to digital nuclear weapons."

Most AI helps you write, design, code, and ship faster at work. Nothing was built for the person quietly holding the family together. Introducing SuperNori: the first Proactive Family AI Agent built for the family caretaker in every family. Here's how it works:

Working on world model or SSL? You definitely need to try our new work: VISReg! What does it achieve? 💪 Strong collapse prevention: High gradient when embedding collapse ⚡ Friendly to scale training: Linear complexity to scaling factors 🧩 Easy to train: Similar to LeJEPA, it is a heuristic-free method 🏆 Best OOD performance: Achieving the best accuracy on 6 OOD datasets 📉 Data efficiency: Achieving a similar OOD average accuracy to DINOv2 with 90% less data 🧬 Robust to low-quality datasets: It i

Introducing Claude Science, a new app designed with every stage of research in mind. Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect. Available now in beta.

Oh my god, Sonnet 5 was MORE EXPENSIVE THAN FABLE to run the whole bench 💀

Sonnet 5 goes straight into the garbage bin > 1.2x more expensive than Opus 4.8 Max > 2x more expensive than GPT-5.5-xhigh > 5x more expensive than GLM-5.2 > 7x more expensive than Kimi-K2.6 > 57x more expensive than DeepSeek-V4-Pro

The real sign of AI writing is not superficial stuff like “It’s not X—it’s Y”. It’s the hollowness. Polished writing but relatively mundane ideas. The giveaway is that you’re less impressed when you read it the second time. With good writing, it should be the other way around. I’m not sure this is inherently about AI. It’s more about the fact that people tend to turn to AI when they don’t have much to say. Reading text that has the syntactic smell of AI is mildly annoying, but when I read hollow

So pleased that we’re finally releasing Claude Science! It was thrilling to see it evolve from just an idea to a powerful product that I use every day. Great initiative from Eric Kauderer-Abrams, with development led by the unstoppable Alec Tarashansky.

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

Trump is gonna have to ban the Chinese models just like the Chinese cars are banned. Our entire stock market hinges on the AI trade and there is no way he cannot protect that

70B for Activision / Blizzard. 70,000 x 1 million projects. Depressing. Funding 10.000 indie projects with 1M budget each would generate so much more fun, creative & financial value than this deal, plus kickstart thousands & thousands of studios & careers.

Just ran a prompt in our @DiligenceStack agent with Claude Sonnet 5 and Gemini 3.5 Flash, both high reasoning Claude was $18.41 Gemini was $1.12

Amongst my friends, Spotify is the lowest quality consumer app we still pay for. It certainly hasnt gotten noticeably better in the last couple years (arguably worse). So, this is not the positive look Ant and Spotify are spinning here. Bigger picture, this is the problem with a lot of AI reporting. It reports completely meaningless metrics like deploys per day or LoC. Why don’t we start reporting consumer satisfaction reports? Actually end state research results. All the no nuance AI people alw

Sonnet 5 is a substantial improvement over Sonnet 4.6 on reasoning, tool use, coding, and knowledge work. Its performance is close to Opus 4.8, at lower prices.

So, Sonnet 5 being worse than GLM 5.2 744B implies GLM 5.2 10T would be better than Fable 5? At the end, it all comes down to scale? Or am I missing something?

Sonnet 5, particularly on max effort, is VERY token inefficient 💀

How many Ascend 910s Huawei can manufacture with 'stolen' dies? Answer: 1.6 million This number is based on how many HBM stacks they have stockpiled. That is quite a lot to reach AGI, if you ask anyone. What happens if stolen dies or HBM runs out? - Compute dies: China's SMIC is making 7nm chips for the next generation ascend. They can make them in millions. - Memory: HBM is a bigger challenge as Chinese entities are barred from procuring anything above HBM2E. That said HBM stack enough for 1.6

@hsu_steve That information is false, Steve. I hope this clarification is helpful.

How do you spot an AI unicorn before it has any revenue? @brianzhan1 of @strikervp has a framework. And it doesn't involve business plans. Hear it on the Nebius for Startups Podcast →

it’s like mythos but if it wasn’t mythos and instead was basically opus 4.7

我想我刚才从根本上解决了一个 claude code / codex 封号或创建账号的难题： 那就是我合法雇佣一个合法的 claude code/ codex agent。 我可以永远避免被 Anthropic/OpenAI 审查账号的问题，也可以避免使用中转站。

Claude Sonnet 5 is here. Top-tier performance on coding and tool use at Sonnet pricing, with a 1M context window. It's the new default in Claude Code for Pro users, and available everywhere on the Claude Platform, including the API and Managed Agents.

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.

“Loop engineering” is a hot buzzphrase after mentions of it by Boris Cherny (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) went viral on social media. Loops are now a key part of how we get AI agents to iterate at length to build software. In this letter, I’d like to share my 3 key loops, shown in the image below, for building 0-to-1 products. These loops guide not just how I build software, but also how I decide what software to build. Agentic coding loop: Given a product sp

恭喜 Sonnet 5 发布。 顺便感谢！ 收到了上次参加 Code w/ Claude Tokyo 活动承诺的 免费的三个月 Claude MAX 20 倍用量兑换。

Sonnet 5 is a substantial improvement over Sonnet 4.6 on reasoning, tool use, coding, and knowledge work. Its performance is close to Opus 4.8, at lower prices.