🚨#BREAKING: The woman who was randomly shot in the face 6 times and st*bbed to de*th while she was walking her dog in Atlanta GA has been identified as 40-year-old Lauren Bullis. The suspect, “Olaolukitan Adon Abel” was also allegedly in the process of se*ually assaulting her before neighbors came to the scene. Olaolukitan is charged with 3 other "completely random" shootings and the de*th of another woman. We do not have to live like this.

The website was rebuilt by @NFTBiker and @v3ga with the support of Matthew Epler, who initiated the project. @carreras_anna and @golan has joined to help improve it ! 💪 — Website : https://t.co/QmLQMxVty3 — Repo : https://t.co/w3MwmQMD4O

GBrain v0.10.0 is a big one My personal OpenClaw setup and brain can now be yours. I've perfected my RESOLVER.md, my SOUL.md and ACLs for multi-user brain access. Now there are 24 distinct fat skills with fat code, fully tested with e2e tests, evals and unit tests. https://t.co/fWe85Hfdey

wow! @garrytan (YC’s CEO, builder of GStack — that 70k-star agentic coding toolkit) just open-sourced GBrain v0.10.0. Think of it like this: most of us have a messy second brain in Notion or Obsidian. Garry built an agentic second brain that actually thinks, remembers, and acts like an extension of you. Here’s what he did: 1/ He turned his own daily driver (running on OpenClaw/Hermes) into a fully open, MIT-licensed system anyone can install in ~30 minutes. It’s not a toy. His personal instance already has over 17,000 pages of markdown knowledge that compounds automatically. It literally knows him. 2/ The real magic is in three simple files he perfected: •SOUL.md → This is your agent’s “identity.” It’s not just facts about you. It’s who you are, how you think, what you value. The agent reads this and becomes you, not a generic assistant. •RESOLVER.md → No more slash commands or rigid prompts. The agent sees your intent and routes it to the right tool automatically. It’s like giving your AI a brain that actually decides “what should I do next?” without you babysitting it. •ACLs (access control) → Secure multi-user mode. You can safely share your brain with teammates without everything bleeding together. This is the part that usually breaks every personal agent project. 3/ Then he packed in 24 “fat skills” — real, battle-tested capabilities, not thin wrappers. Signal detection (it notices important stuff in your life), smart memory checking at the right moments, media ingestion, meeting transcript processing, auto-fixing citations, filing notes exactly where they belong, task management, cron jobs, native webhooks… all with end-to-end tests, evals, and unit tests. These aren’t demos. They’re production-grade and they compound: every time you use it, the brain gets smarter on autopilot. 4/ Best part? It doesn’t copy Garry’s brain.
It builds your brain. 
His skillpacks just bootstrap everything for you. Copy-paste one line into your OpenClaw or Hermes and you’re running your own personal GBrain. Full repo here (go star it):
https://t.co/ZPSaN1tchZ This is what AI-first software is: no forms, clicks, stages… This is what happens when a top builder gets addicted to his own tools and believes in the power of open source. If you’ve ever wanted an AI that doesn’t just answer questions but actually extends your mind over time… this is the closest thing I’ve seen yet. Go install it. Play with it.
 The compounding knowledge flywheel is real, and it’s now open source. What a time to be building. 🚀

Falcon 9 launches 25 @Starlink satellites from California https://t.co/pQzorVl1PH

+1 more

South African man: “White people are an inferior species to Black people. This is science. White people are below human beings; you are negotiating with an animal, like a wild dog. You can’t expect the same behaviour from a dog” This extremely racist false “science” is taught at universities in South Africa. Racism against White people needs to stop and be condemned and exposed.

SpaceX is moving at literal light speed right now SpaceX launched 2 more Falcon 9s in under 24 hours AGAIN - Florida in the morning, California at night Even with unlimited budgets, government space programs usually launch only once or twice a year Meanwhile, SpaceX is doing multiple launches a day with just hours between them, and Starlink reliability is going through the roof with every single payload

🚨 Hermes Agent just dropped a HUGE update, a live web dashboard to control everything without touching the terminal. Track sessions, monitor token usage, manage cron jobs & skills, all from a clean UI. This changes how you use AI agents daily 👇 https://t.co/2hUQWEX3jP

We've been developing a multi-agent system that builds and maintains complex software autonomously. Recently, we partnered with NVIDIA to apply it to optimizing CUDA kernels. In 3 weeks, it delivered a 38% geomean speedup across 235 problems. https://t.co/0YvbXrzVfe

我是无所谓中文界面还是英文界面了。但Hermes Agent 能够如此迅速果断的就给WEB UI的Dashboard配上中文。足见 @NousResearch 和开发社区的重视，大家都在让Hermes Agent变得更好，也造福广大的中文区用户。 https://t.co/dOZ5mar15A

كل الرهان على Hermes معجب جداً ب هيرميز @NousResearch ! يعمل كمنظومة كاملة عندي. ستة بروفايلات. مخزن ذاكرة واحد مشترك مستضاف ذاتياً. صفر اعتماد على أي coder مستضاف عند طرف ثالث. الأسطول: - pmax-mousa — الوكيل الخاص فيني على WhatsApp + Email + Google Workspace - pmax-tarek — وكيل شريكي على Telegram + Email - pmax-dareen — مساعدة صانعة المحتوى عندنا على WhatsApp (شغّالة LIVE على محادثات عملاء حقيقيين) - pmax-content — عمليات المحتوى في الخلفية - pmax-ops-observer — تقارير صحة النظام اليومية - pmax-coder — أداة البرمجة الأساسية عندي، CLI فقط، بدون coder مستضاف وبدون gateway قرص الموديلات — هذا الجزء اللي متحمس له أكثر شي: pmax-coder يشتغل على GLM-5.1 native عن طريق https://t.co/s6oYqmfv05 Coding Plan (@Zai_org، اشتراك ربع سنوي بـ ٤٥ دولار). مباشر على https://t.co/HUrIPiINWn، بدون وسيط، وبدون ضريبة OpenRouter. GLM-5.1 أطلقوا بالضبط اللي كنت محتاجه — coder بمستوى الواجهة الأمامية بسعر ثابت أقدر أخطط عليه. آخر ثلاثة أيام قضيتها رأساً في الأرض فقط عشان أخلّي النظام يشتغل. مو أعدّل فيه، ولا أحسّنه. أخليه يوقف على رجوله من البداية للنهاية بدون قطعة واحدة حاملة تسقط بصمت. ستة بروفايلات، مخزن ذاكرة واحد، جهازين، عشرات الخدمات، launchd، Tailscale، native provider pinning، إعادة تطبيق الباتشات، استرجاع من ghost processes، تصادم بورتات البريدجات، مشاكل FTPS، دورات CI، قفل Qdrant، تعليقات Happy Eyeballs على IPv6 — كل وحدة منها bug حقيقي وقعت فيه وصلحته قبل ما أقدر أكمل. الثلاثة أيام هذي هي القصة كلها. خمسة بروفايلات gateway (pmax-mousa، pmax-tarek، pmax-dareen، pmax-content، pmax-ops-observer) كلها تشتغل على qwen/qwen3.6-plus عن طريق OpenRouter بتوجيه native Alibaba (@Alibaba_Qwen، @OpenRouterAI). ثبّتت native فقط بـ patch صارم على provider.only عشان ما تنزلق شي بصمت على مسار أغلى. البديل الاحتياطي offline في كل مكان هو gemma-4-31b-it-4bit يقدّمه oMLX على Mac Studio. لو OpenRouter أو https://t.co/s6oYqmfv05 طارت في نص المحادثة، كل بروفايل يتحوّل تلقائياً على inference محلي بـ MLX والمستخدم ما يلاحظ شي. تبديل موديل = سطر واحد في YAML. النقلة الحقيقية: ذاكرة موحّدة مستضافة ذاتياً. كل بروفايل Hermes يقرأ ويكتب في مخزن mem0 واحد على MacBook (Qdrant + Ollama nomic-embed-text embeddings، بدون أي cloud). Claude Code (@claudeai، @AnthropicAI) موصّل بحيث يبث كل turn من الجلسة تلقائياً في نفس المخزن عن طريق Stop hook. اتجاه التدفق: Claude يكتب، Hermes يسمع. أي قرار آخذه في جلسة Claude Code يصير مرئي لوكلاء WhatsApp في أول رسالة بعدها. ما يتعاد شرح أي شي. أبداً. معمارية على جهازين فوق Tailscale: MacBook (100.118.222.70) هو طبقة الخدمات. يشغّل mem0-server على 7437، task_server v1.1.3 على 7439، كاش router guru-code على 7450، webhook مراجعة المحتوى على 7438، كل hooks الـ Claude Code، cron النسخ الاحتياطي اليومي، و mem CLI. Mac Studio M4 Max (100.66.114.65) هو طبقة الوكلاء. يشغّل Hermes v2026.4.13-118، كل gateways البروفايلات الستة تحت launchd، لوحة Hermes على 9119، بريدجات WhatsApp و Telegram، وجلسة OAuth لـ Google Workspace. الجهازين مثبّتين على IPv4 فوق الـ tailnet، لأن Happy Eyeballs مال macOS كان يعلّق عشوائياً على مسارات IPv6 — flag واحد على كل curl و ssh قضى على صنف كامل من المشاكل. شكر كبير لـ @brian_cheong — الدفعة اللي سوّاها على idempotency-on-retries شكّلت بشكل مباشر task_server v1.1.3 (Idempotency-Key header على كل مسار كتابة)، dedup لـ run_id deterministic في https://t.co/mrslfLodFL، وكاش استجابات router الـ guru-code. لولا هذا، أي action يتعاد يتنفذ مرتين بصمت — tool call يضرب مرتين، رسالة تنرسل مرتين، ملف ينكتب مرتين. أصناف كاملة من الـ bugs ما راح أكتبها أبداً الحين. (بصراحة ما كنت أعرف شي عن idempotency — thanks dude) شنو ثاني يجي مع الـ stack: نسخ احتياطية يومية لـ Qdrant و task_server مع تدوير ١٤ يوم، وزيادة على ذلك zip كامل لـ Hermes أسبوعياً. مناعة ضد الـ ghost processes على إعادة تشغيل launchd (سكربت startup_guard يقتل أي https://t.co/eDFb9bsTOf زومبي ماسك قفل Qdrant قبل ما mem0-server يقوم). patch لتثبيت native provider يمرّر provider_routing.allow_fallbacks مباشرة لـ OpenRouter. سكربت redactor يشيل الأسرار على كل turn ينتهي في Claude Code عشان مفاتيح OpenRouter و Anthropic و GitHub PATs و Bearer tokens ما تقدر تتسرب للـ transcripts. أمر mem audit يمسح مخزن الذاكرة نفسه ويدور على patterns مسرّبة. وأمر `fleet` واحد أقدر أشغّله من أي terminal يعطيني snapshot ملوّن لكل خدمة على الجهازين بالإضافة إلى حالة GitHub Actions وجرد الباتشات على Hermes. خلال هذه الثلاثة أيام سحبت ٩٨ commit من upstream Hermes في دفعتين (٧٠ + ٢٨) بدون ما أخسر ولا patch واحد من الباتشات المحلية. cron يفحص كل أسبوع ويعمل جرد لكل patch محلي عشان ما يرتد شي بصمت. الترقيات صارت آمنة. هذا هو الـ invariant اللي كنت أدوّره، وأخيراً حصلت عليه. كل هذا مو منصة AI مخصصة. هذا Hermes يسوّي اللي يسوّيه Hermes، بالإضافة إلى شوية باتشات جراحية خليتها صغيرة بما فيه الكفاية عشان أعيد تطبيقها على كل pull من upstream. الفلسفة كلها: أقل قدر ممكن من lock-in — استخدم upstream قدر ما تقدر، patch فقط النقاط الحاملة، ولا تعمل fork أبداً. النقطة ليست إن Hermes أحسن من أي أداة coder ثانية اليوم. النقطة إنه لي. أنا أملك قرص الموديلات، مخزن الذاكرة، الأدوات، الـ hooks، سياسة النسخ الاحتياطي، موقف الأمان، سلوك الـ failover. لما شي يخرب أصلحه. لما أبي أحدّث أحدّث. لما أبي أغيّر موديل أغيّر موديل. بدون وسيط. بدون منصة. بدون مخاطر rug pull. تقارير من الميدان تتبع.

@shangobashi @NousResearch What the heck version are you on? It should only show our curated list. Please run `hermes update` https://t.co/l185fJidxb

AI is creating a new kind of workplace friction. While leaders see productivity gains, many workers report being overwhelmed by “workslop” — AI-generated output that looks polished but requires significant correction. The gap is growing. Efficiency at the top can translate into more hidden work on the ground. https://t.co/nfcdBXCPYe

ARC-AGI-3 Human Baseline Dataset Today we're open-sourcing the ARC-AGI-3 Human Baseline. This is the most exhaustive human testing study in the ARC-AGI series Every environment was solved by at least 2 people (many by more) from the general public, with no prior training https://t.co/yk1QBrHWln

Jeff Bezos just told you exactly how to price AI. Nobody listened. Bezos: “AI is real and it is going to change every industry. In fact it’s a very unusual technology in that regard in that it’s a horizontal enabling layer.” Horizontal enabling layer. Three words that reprice the entire technology sector. The iPhone was a vertical. One product. One new market. Electricity was a horizontal. One substrate that rewired every market on Earth. Wall Street is pricing AI like it is the next iPhone. Bezos is telling you it is the next electrical grid. Right now, thousands of companies are trying to sell AI as a product. A feature. A tool. A subscription tier. Every single one of them will be priced to zero. You do not sell a horizontal layer. You do not compete with it. You build on top of it or you disappear beneath it. For a century, entire industries survived on one thing. Complexity. The friction of navigating law, medicine, logistics, finance. That was the moat. If you could not memorize the maze, you could not compete. A horizontal layer does not navigate the maze. It dissolves the walls. Electricity did not compete with the candle industry. It erased the need for one. The most dangerous part of a horizontal shift is how quiet it is. It moves underneath the economy. The surface looks normal. Revenue still holds. Every day you operate on the old substrate, you accumulate a debt you cannot see and cannot repay. The internet repriced distribution. AI is repricing cognition itself. When intelligence becomes a utility that runs through the walls of every company on Earth, the premium on human expertise does not erode. It evaporates. This is not a disruption. Disruptions replace products. This replaces the ground you are standing on.

⚙️ /hermes-agent tell me more about the new `architecture-diagram` and `baoyu-infographic` skills ↵ When in doubt, use `/hermes-agent` to ask questions about itself. https://t.co/XWRVRcyDNT

AI has crossed a major threshold in the workplace. Half of U.S. employees now use it, with daily and weekly usage at record highs and most users reporting positive productivity gains. The shift is no longer gradual. AI is becoming part of everyday work. https://t.co/hBgHtUYiHG @tomshardware

A very useful flowchart. https://t.co/u7lIGjOGSE

A very useful flowchart. https://t.co/u7lIGjOGSE

@kshitijk4poor @AmeliaDacine Pushed a fix that attempts to solve it. Please try update: https://t.co/B9B12QgPm2

@Teknium Let's see where this friendship leads to. https://t.co/3vtvF0dt48

@Teknium Let's see where this friendship leads to. https://t.co/3vtvF0dt48

@Teknium @dingyi Last time you had a Hackathon I started editing Hermes and haven't stopped.. lol https://t.co/VQF3jjvqdG

@Teknium @dingyi Last time you had a Hackathon I started editing Hermes and haven't stopped.. lol https://t.co/VQF3jjvqdG

Steve Jobs, on why design matters more than raw capability: "The telegraph was an amazing breakthrough... some people talked about putting a telegraph on every desk... but it wouldn't have worked... you had to learn Morse code. It takes about 40 hours to learn Morse code." The telegraph was objectively more advanced for its time. Yet the telephone crushed it. Not because of superior technology. Because the phone required zero learning. "People already knew how to use it. Because you knew how to talk. You don't have to teach people how to speak." This is the insight most engineers miss: Raw capability doesn't win markets. Usability does. The telegraph demanded you become a specialist. The phone met you where you already were. This is why Steve was obsessed with making the Macintosh intuitive when competitors were shipping command-line DOS machines. The Mac didn't need a manual. It needed a mouse and a screen that felt like talking, not coding. You could put the most powerful machine on every desk. But if it requires 40 hours of training to use it, you've already lost. The winner isn't the breakthrough that's most technically impressive. It's the one that requires the least effort to understand.

New paper out in Proceedings of the Royal Society B: we apply linguistic tools to sperm whale vowels. The result: sperm whale vowels do not just look like human vowels. They also behave like them. We found several parallels. Like in Latin, whales have short and long vowels. Like in Slovenian, some vowels prefer particular tones. Like in human language, there’s a lot of coarticulation (a process when you say “tense” but the word sounds like “tents”). Observing vowels in whales is a matter of timing. Our vowels are fast, whale vowels are slow. Beats become pitch if they’re fast enough. If you slow down human vowels, they start sounding like whale clicks. Applying linguistic tools to whales shows us that we’re much more similar to these wonderful ocean creatures than we previously believed and that their language is much more complex and structured. @projectCETI @UCBerkeley

In a world ravaged by war, talk of the end of NATO, and an increased emphasis on financial sovereignty, AI sovereignty is growing in importance by the minute. McKinsey’s latest report on sovereign AI makes a compelling case for nations to build independent AI capabilities to ensure strategic resilience, economic impact, and societal benefits in an increasingly divided world. I give McKinsey credit for being spot-on and timely. Anyone working in AI should pay close attention to sovereignty implications in systems and solutions. AI sovereignty is also big business, and McKinsey estimates that 30 to 40% of AI spending could be influenced by sovereignty requirements a market of some $500 bn to $600 bn globally by 2030! While sovereign AI is often seen as a “defensive play” protecting citizens, data, and tech stack, McKinsey puts a new spin and says it should be considered going on the “offensive.” The US banning AI chip sales to China, China banning US LLM models, or the EU’s AI Act, should be seen as going on the offense for growth and innovation. The goal of sovereign AI ecosystems is to capture more of the economic value created by AI locally, rather than seeing it flow to foreign providers like the US’s Silicon Valley. Once again, there is big money involved. Nations going on the offensive with sovereign AI can capture a bigger piece of the $2.6T–$4.4T annually that AI contributes to global GDP. Sovereign AI isn’t just about protecting citizens and data from rogue foreign AIs; it’s all about getting a piece of the AI pie. Expect more nations to go on the offensive to bring AI’s money trail home. #fintech #tech #finserv #AI @BetaMoroney @efipm @BrettKing @spirosmargaris @jasuja @enricomolinari @mikeflache https://t.co/YM0i42elmo

Warren Buffett: "Most of the time, the Fed is not that important. Occasionally, it's everything." Buffett explained: "The Fed is of enormous importance during a panic." When the markets experience a crises, the Fed is the only person who can "walk out like a sheriff in the street and say that this isn't going any further." But in normal markets, Buffett said "people tend to hang on to [the Fed's] every word. But we don't pay any attention to it." Rather than forecast interest rates, he focuses on business fundamentals. "If the Fed Chairman were to whisper to me what his monetary policy was going to be over the next two years, it wouldn't change one thing I do."

Now in research preview: routines in Claude Code. Configure a routine once (a prompt, a repo, and your connectors), and it can run on a schedule, from an API call, or in response to an event. Routines run on our web infrastructure, so you don't have to keep your laptop open. https://t.co/m2XJWYqkf8

Jeff Bezos once asked Warren Buffett about Buffett’s investing strategy Bezos: “Why don’t more people copy your investment strategy? It’s not that difficult to understand in principle.” Buffett replied: “Oh Jeff, that’s easy. My approach is a get rich slowly scheme...” “The stock market is a device for transferring money from the impatient to the patient.”