“Everybody pities the weak. Jealousy is earned.” - Arnold Schwarzenegger https://t.co/2qjqiupsBM

“Everybody pities the weak. Jealousy is earned.” - Arnold Schwarzenegger https://t.co/2qjqiupsBM

跟小龙虾（OpenClaw）比，Hermes代码质量和稳定性都好很多！ 搭个Hermes硅基飞书群，每个机器人用独立模型和网关，远程协同工作。 1. 终端中执行 hermes profile create [机器人名字] 比如创建了西游记团队，tangseng、sunwukong等。 2. 给每个机器人配置模型和IM连接方式，指令 [机器人名字] setup 比如给孙悟空用OpenAI Codex GPT 5.5 ，给唐僧用GLM 5.1 turbo，给猪八戒用 Kimi 2.6 ，给沙僧用DeepSeek v4 Flash等。 3. 绑定飞书（支持多个）或微信机器人（只能绑一个） setup流程中会有提示，空格选中，回车配置，飞书或微信的话扫二维码就行，配置比之前太容易了。 4. 重启网关 [机器人名字] gateway restart

6 reasons why autonomous enterprises are still more a vision than reality https://t.co/XT4cnOhnSo @ZDNET by @joemckendrick Cc @SpirosMargaris @DeepLearn007 @KirkDBorne @Nicochan33 @BroadenView https://t.co/yge3Q3u1UZ

Every day my agents read 40,000 posts here on X and make this news site, all about AI. I built it so that the normies could see what's happening here: https://t.co/kiuZ7QXLzb

ANTHROPIC 🔥: Claude Mythos model has been spotted on Google Cloud Console. -claude-mythos 👀 It is hard to imagine that Anthropic would change its mind and release it publicly but they could act as a model provider for those companies who have access to the model and run their stuff on GCP.

@kapilansh_twt I built https://t.co/kiuZ7QXLzb and have the most complete lists of all of that on X here: https://t.co/fasUz7PuHq

Many AI agents in finance rely on extremely high quality context engineering from documents 📑 They can be roughly divided into two categories: 1️⃣ Repetitive, operational work common in back-office use cases - invoice processing, loan origination, KYC 2️⃣ Assistive agents for open-ended research and generation of reports/presentations - e.g. diligence, equity research We gave a workshop last week in NYC on how to build a high-quality document context layer to enable these AI agent use cases. At this stage, you need a rigorous OCR layer, evaluation checks, and good UI/UX for HITL review/audit - even a slight mistake in number can have catastrophic consequences downstream. Check out the resources below: ✅ My slides: talk a lot about document processing and the general landscape of knowledge work: https://t.co/qpxRK0yzdc ✅ Logan’s repo on building an agentic document parsing pipeline over financial documents, with full HITL review: https://t.co/VlrRzV5Vi6 Our core mission is extracting the highest-quality document context for AI agents in finance and more. Come talk to us if you’re facing relevant challenges: https://t.co/Ht5jwxSrQB

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The high agency triangle https://t.co/uL9Q3QFn1z

The high agency triangle https://t.co/uL9Q3QFn1z

@RaoulGMI Building Hermes Agent for one, it's built 95+% of all of it since launch and I've probably got the most self improved single skill/task that exists in the world right now for doing it haha Check out Hermes Atlas for some of the ecosystem if helpful too: https://t.co/SexzeDx3rz

how to set up your Hermes Agent control room send this image + the repo below to your agent and it will configure itself based on the blueprint https://t.co/Bb2nEm96i8 this is the same architecture I use to run specialist agents across both my agencies https://t.co/dVeFLhB5si

Can fast generative models still be likelihood-based? Excited to share our new work @Apple MLR --Normalizing Trajectory Models a step toward high-quality few-step generation with exact trajectory likelihood, powered by normalizing flows. Paper: https://t.co/4VjJZpW4pC [1/9]

That explains this startup. https://t.co/65Bel2DirH

DeepSeek V4 Flash on a single RTX Pro 6000? 👀 https://t.co/gG0pR6EIkK

DeepSeek V4 Flash on a single RTX Pro 6000? 👀 https://t.co/gG0pR6EIkK

@guillaumemeyer @0x58bro @dbenyamin @NousResearch Fixed - hermes update please https://t.co/l5HThytfNm

@InGidWeTrust @xai find out here: https://t.co/L555n24W3T

@NousResearch Hermes agent with @xai Grok 4.3 is too good such a smooth and performant experience end to end loved it!!!!!! https://t.co/FkxJd6ww5H

The masculine urge to down a whole bottle of whiskey while listening to jazz in the chair https://t.co/1a1OGTxXMs

@pmarca https://t.co/eC1M6ynnAQ

The jobs apocalypse is not yet here. But if governments wait for conclusive evidence before creating a safety-net, it will be too late. Register for free to understand why https://t.co/heoj0Vmisc https://t.co/QRfhR1c1U3

For 40+ years, building a robot that could rally with an elite human table tennis player at full speed was an unsolved problem. Sony AI's Ace research project set out to change that—and the results are now accepted for publication in @Nature and featured on the cover. https://t.co/SPwIXDQDOV

Incredible work by Sony published in @Nature today! 🏓 They’ve built “Ace”, an autonomous ping-pong robot that uses RL and Sony’s vision sensors to achieve expert-level play in ping pong. A huge leap forward for adaptive robotics. https://t.co/hJqnZzXV17 https://t.co/xQ5NThU6xJ

We’re launching the beta for our new commercial AI product: Sakana Fugu 🐡, a multi-agent orchestration system! Blog: https://t.co/36Ud311KCP Fugu hits SOTA on SWE-Pro, GPQA-D, and ALE-Bench, and has been our internal secret weapon. It dynamically coordinates frontier models, autonomously selecting the optimal agent combinations and roles for each task. Available as an OpenAI-compatible API, you can seamlessly integrate Fugu into your existing workflows with minimal changes. 🐟 Fugu Mini: High-speed orchestration optimized for latency 🐡 Fugu Ultra: Full model pool utilization for deep, complex reasoning Apply for the beta test here: https://t.co/1fjuAha7ci

One of my favorite things about Sakana Fugu is the recursive test-time scaling. When allowed to call itself recursively, it reads its own prior output and spins up corrective workflows on the fly. We are opening up the API for beta testers to try it out: https://t.co/ucZJke5ZaX

Google I/O week kicked off with this event: https://t.co/LPqC4wxLCS Don’t get me wrong, living in Silicon Valley is a huge gift. Lots of those I read everyday fly here to attend. Speaking on a panel shortly. https://t.co/Ak31WqyShv

🚨WOW!!! Tim Sparks has confirmed he purchased 80 PIZZA HUTS and brought back EVERYTHING that made them iconic! Pac-Man is back. Salad bar is back. Red cups are back. Booths for families. "I want to rebuild places for families to connect and put their phones down..." https://t.co/e2VDATA3nk

If Steve Jobs were still alive, he would have the moral authority to face and maybe even to solve this problem. But I doubt anyone in the phone business now does. https://t.co/DI2kFAJe4U

Are the bottlenecks to rapid AI improvements purely computational? Or do they require real-world deployment and interaction to surpass? Interestingly, this was one of the main disagreements between @DKokotajlo and I almost two years ago: https://t.co/iCzcipA7ma In short, I agree with @mentalgeorge's predictions that even if AI systems can conduct research autonomously (i.e., even if we get RSI), there are real-world bottlenecks that cannot be resolved purely computationally.

1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses. https://t.co/5LdFvzbFaf

Thanks to codex automating my morning prep I can now spend that time buttoning up this fucking shirt in the morning. Try it out: “Every morning search my slack, gmail, calendar and linear to help me prepare my morning Save it in my obsidian vault and review past notes to understand what I need to prioritize”