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AI Agent Governance Toolkit - by Microsoft Runtime governance for AI agents through deterministic policy enforcement, zero-trust identity, execution sandboxing, and SRE for autonomous agents. Covers all 10 OWASP Agentic risks with 13,000+ tests. github.com/microsoft/agen…

"You cannot govern a technology you have only been briefed on." Singapore Minister for Foreign Affairs, Dr. @VivianBala, echoing @karpathy and @yacineMTB on why he runs NanoClaw: "you can outsource memory and computation, but you cannot outsource your understanding" x.com/VivianBala/sta… He also shared his tech stack for running his second brain for Singapore's Foreign Affairs Ministry and parliamentary affairs: - @AnthropicAI Claude Agent SDK - Baileys + WhatsApp - Mnemon (Graph Memory) - @ollama + @nomic_ai - @ggerganov Whisper.cpp + OneCLI With special notes on how he handles security and isolation, and what implications he sees for Singapore Inc.

Singapore’s Foreign Minister, Dr Balakrishnan casually explaining how he built his own AI agent (a 2nd brain for diplomacy) using Claude & WhatsApp integration etc. on a Raspberry Pi “You cannot govern a technology you have only been briefed on.” 🇸🇬

Where will AI be in 1, 2 or 3 years?

Simply become insane and desperate.

Despite being told no, I'm open-sourcing TrustClaw. You can now deploy a production-ready personal agent service with over 1000+ app integrations in a single command, straight to @vercel with npx @composio/trustclaw deploy I was inspired by @openclaw to build a simple web app where anyone could create their own 24/7 personal assistant and connect it to Gmail, Google Calendar, Notion, Slack, GitHub, HubSpot, Linear… well everything, and securely through OAuth/sandbox execution. It went viral on X, reached over a thousand users in less than 48h, and revenue began pouring in. If you are thinking like a company, you'd probably keep that locked up. But why should I be the reason you spend another year scrolling instead of building? So today, I'm open-sourcing TrustClaw anyway. > 24/7 agents that act across Gmail, Notion, GitHub, Slack, Linear, Jira, and 1000+ apps > OAuth and sandboxed execution, so users don't have to hand agents passwords or raw API keys > Supports multiple users and authentication right outside of the box with @better_auth Repo is open, MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Honestly so excited to see what comes out of this.

Programmers, PMs, and designers are in a three-way Mexican standoff. .@pmarca says the new job title is "builder." "The programmers think that they don't need the product managers and the designers anymore because they can have AI do that." "Each of the other two doesn't think they need the other two either." "What I've been predicting is they're all correct." "The product manager can generate code and design now, and each of them can do the job of all three." "Now the job is builder." "It's entirely possible that we're sitting here in 10 years... the job of coder is gone, but you have this extraordinary number of builders running around."

i made a game where you play the piano IRL to survive against waves of monsters thank you to the 500 musicians and teachers who've played and given feedback so far. more features coming soon !!

Replit's founder made $3M in 2 days shipping a half-ready product. Amjad Masad's team wasn't ready to launch Replit Agent. He said: "I don't care if it's semi-broken. If it works 50% of the time, it'll wow the world." For the first time ever, an AI agent could write code, debug it, create a database, and deploy to the cloud. End-to-end. He shot a video on his iPhone. Posted it. Andrej Karpathy quote-tweeted: "I feel-the-AGI moment." OpenAI and Anthropic researchers reached out: "We didn't know our models could do that." Day 1: $1M ARR Day 2: $2M ARR In 48 hours, he made more than 8 years of trying. Amjad: "Product-market fit feels like stepping on a landmine. We pivoted for years. That moment was the landmine." If it doesn't feel like a landmine, you haven't found it yet. Full episode: youtube.com/watch?v=ddSucX… @amasad @thesamparr @ShaanVP

Algumas startups nascem de uma tese de mercado. Outras surgem de uma tecnologia nova. A Enter nasceu de uma sequência improvável de eventos que aconteceu em uma única semana.  A história começa com um advogado prodígio de Brasília. O fundador da Enter entrou na faculdade de direito aos 14 anos e se formou aos 18. Seu plano de vida parecia totalmente definido: construir a carreira mais tradicional e prestigiada no mundo jurídico. Depois de atuar em tribunais superiores no Brasil, foi para a Harvard Law School, tirou licença para advogar nos Estados Unidos e entrou no Milbank, um dos grandes escritórios de advocacia americanos. Era a trajetória perfeita de alguém destinado a virar sócio de um “big law”. Mas existia um problema: ele odiava a sensação de estar sempre no banco do passageiro. Advogados executam decisões. Não criam produtos. Não constroem empresas. Não controlam o jogo. Foi aí que aconteceu a primeira grande ruptura. Ele largou o caminho tradicional e decidiu entrar no mundo de tecnologia. Aplicou para trabalhar na Quansa, fintech brasileira focada em salário sob demanda. Tentou entrar como PM. Foi rejeitado. A maioria das pessoas teria seguido em frente. Ele voltou dois dias depois oferecendo ajuda de graça. Funcionou. Entrou na startup, trabalhou em produto e passou dois anos vivendo o ambiente “early stage” que, até então, só conhecia como advogado de fundos de venture capital.  Gostou ? Continua a leitura no link da bio!

the head of research at Citadel's systematic equities division breaks down their entire quant pipeline in 30 seconds: 1. alpha researchers turn data into return forecasts 2. impact researchers measure how much their own trades move the market 3. optimization researchers build fast algorithms to solve portfolio problems 4. portfolio construction frames the whole business as a stochastic control problem the output? trades.

🚨Brazilian scientists are using fish skin to treat burns, helping wounds heal faster and without pain or scars thanks to its collagen and high moisture levels.

Garry Tan (CEO of Y-Combinator): "when someone asks how I 'prompt' my AI, the answer is: I don't. the skills are the prompts." [if I had 7 days to master skills and how to use them to automate workflows:] → read the Skillify 11-item checklist (SKILL.md in gbrain) → watch Murag + Barry Zhang: "Don't Build Agents. Build Skills Instead." → Read "Designing, Refining, and Maintaining Agent Skills at Perplexity" → do one workflow. type /skillify. watch it become permanent. that's the whole day. here is how to set it up: 1. clone GBrain (his open-source second brain, Postgres-backed memory + 30 skills) 2. add GStack (23 battle-tested slash-command skills, drops right in) 3. do anything once → type /skillify → it's a skill forever prompting is dead. skillifying is next.

Before online multiplayer took over, people had "LAN parties". Everyone brought their computers to one central location, wired them together, and played in the same room for hours.

John Carmack explains how he applies Nassim Taleb's "anti-fragile" concept to his work, enjoying the thrill of new ideas while accepting that many won't succeed.

In 1995, Doom was installed on more PCs than Windows 95. One college dropout from america coded a revolution that changed gaming forever ~ and then kept going. 🤯 Meet John Carmack 🇺🇸 > Born 1970 in Kansas. > Age 14 ~ Arrested for using thermite to steal Apple IIs. Sentenced to juvenile detention. > College dropout after two semesters at UMKC. > Created Commander Keen ~ his first hit shareware game. > 1991 ~ Co-founded id Software in a rented house. > Engineered the 3D engines for Wolfenstein 3D, Doom and Quake. > His code invented the modern first-person shooter genre. > Bill Gates was so impressed he starred in a Doom promo for Windows 95. > His open-source engines became the DNA for Half-Life and Call of Duty. > 2000 ~ Founded Armadillo Aerospace and built rockets in his spare time. > Won NASA’s Lunar Lander Challenge ($350k) from his garage. 🚀 > 2013 ~ Joined Oculus as CTO and led Quest development. > Facebook bought Oculus for $2 billion. > 2022 ~ Quit Meta with the words: “I wearied of the fight.” > Founded Keen Technologies. Raised $20M to solve AGI from his Texas home. > Still codes 60+ hours a week from his Texas home. Most developers spend their lives chasing one tech revolution. He quietly engineered three... and he's coming for the fourth. Engineering GOAT. 🐐

// HeavySkill // One of the cleaner takes on agentic harness design I've read. They argue that what actually drives agent harness performance is not the orchestration code. It's a single inner skill: parallel reasoning followed by deliberation. If you can internalize that into the model and most of the scaffolding becomes optional. The paper systematizes this as a two-stage pipeline you can run beneath any harness, then trains it as a learnable skill via RLVR. The numbers: > GPT-OSS-20B jumps from 69.7% (M@K) to 85.5% (HM@4) on LiveCodeBench under the heavy-thinking variant. > R1-Distill-Qwen-32B nearly doubles on IFEval, from 35.7% to 69.3%. > Several models reach Pass@N-level performance with HeavySkill. Harness wins start to look like model wins once you can train them in. If parallel-reasoning-plus-deliberation really is the inner skill, the long arc is models that come with it baked in, not orchestration glue around them. Paper: arxiv.org/abs/2605.02396 Learn to build effective AI agents in our academy: academy.dair.ai

Paul Tudor Jones predicted the 1987 crash, made $100 million, then spent years trying to destroy this footage you will watch him lose $6 million in one afternoon, sit in his chair and say "total devastation" then make it all back with 100% interest This documentary will change how you think about risk forever Bookmark & watch it. Then read the post below - $90 billion from being right just 54% of the time↓