Mat Young

@cryptopunk7213 Can i run it entirely on prem?

anthropic’s openclaw-killer is complete. fucking crazy what they’ve shipped in 4 weeks: - texting claude code - 10,000s of claude skills + MCP - Claude security (autonomous bug-fixer) - persistent memory (claude never forgets) - channels (text claude from telegram) - autonomous cron-jobs - 1M context window - new model (opus, sonnet) - 30+ plug-ins that’ve tanked stocks - remote control just insane fucking levels of execution.

@elonmusk I went to military school near that Nelson statue. This makes me sick to my stomach.

This would be a travesty

I know Silicon Valley startups don't want to hear this..... But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software. I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it. He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code. Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time. His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages. His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything. My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five." Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder. I can't wait to meet more people like Cory.

Holy sh*t, this is so true!

@PatrickHeizer Ok safe and effective fair points but wont a human facing certain death go with the same approach and if it doesn’t work then at at least the data might help the next.

Sorry to be the downer because this is an impressive story in some senses. But it is ~trivially easy to make a single mRNA vaccine. It's not hard. I cure mice of various cancers with various therapeutics all the time. I've made mice lose more weight in a month than tirzepatide does in a year. What is hard and expensive is proving its BOTH safe AND effective **in a randomized and controlled study in humans** while ALSO manufacturing it at clinical scale and grade. I am happy for this man and his dog. It is impressive. But y'all are overhyping it.

The 'Firefly' cast drop their final announcement teaser "We have a big announcement coming tomorrow"

@SBakerMD Never Turtle or Squab.

How many points?

Hello Brad Duplessis, You pre-emptively blocked me here on 𝕏, so I am forced to make this "Hello" a standalone post. You are a retired Army infantry officer. You served in Iraq and Afghanistan. You graduated from the National War College in 2018. You are now an Assistant Professor at the U.S. Army Command and General Staff College, Fort Belvoir, Virginia. Thank you for your service. But reputations are not defined by resumes. They are defined by choices. Today, you chose to doxx @CynicalPublius. Today, you published your debut article on War on the Rocks. You published his legal name. His profession. His pseudonym. All in one sentence. Indexed, archived, permanently searchable. You have changed the course of his life forever, and revealed him to the leftist ghouls who will demand his blood for forever. It doesn't matter if he was planning to reveal his identity eventually. You still made that choice. And I will make sure you are remembered for this. So, what was CP's sin such that you saw it fit to throw him to the wolves? Last month, he dared to write an article for American Greatness, centered around nine recommendations for War College reform. The recommendations included firing most civilian faculty and ending permanent military faculty positions. You hold a permanent civilian faculty position at a War College. You did not mention this in your article. In short, you named him, exposed his life to danger, because you really are arguing for your job and self-preservation. Know what is the most disgusting, hypocritical part of this is? In the Fall 2017 issue of eARMOR (the U.S. Army Armor Branch professional journal) you published an article. You titled it "Our Readiness Problem: Brigade Combat Team Lethality." You opened with General Milley: "Our fundamental task is like no other — it is to win in the unforgiving crucible of ground combat." Your thesis: "If we are to get after GEN Milley's No. 1 priority, we must first address brigade combat team (BCT) lethality." The word "lethality" appears in your article about fifty times. You meant it as a compliment. Now contrast to today's piece. You wrote this: "In staking out this Huntingtonian position, the cult of lethality does a disservice to service members and the American people." The same word. Nine years apart. You were a field commander then, and lethality was the mission. You are a faculty member now, and lethality is what your critics embarrassingly worship. Frankly - and you will never realize this - but you yourself are the living, walking example of the thesis which @PeteHegseth is proving. Also, you named a section of today's article after Colin Powell. You called him your model of what War College education produces. Colin Powell endorsed Barack Obama in 2008, endorsed Joe Biden in 2020, and publicly called Donald Trump "dangerous for our democracy." Powell, who infamously tipped the scales at the UN to start the Iraq war even after privately doubting the WMD intelligence, is your hero in an article about who gets to reform the military in 2026. In addition to being a doxxer, you look a lot less like someone who's defending institutions, and a lot more like someone who exemplifies institutional capture in the name of self-preservation. And you disclosed none of it. Let me reiterate. @CynicalPublius wrote under a pseudonym and identified himself as a retired Army colonel with Afghanistan and Iraq experience. He argued about curriculum policy. You responded by putting his name on the internet. Your career depends on the institutions you are defending. Your article defending those institutions is the same article that ended his anonymity. You taught your students about the instruments of national power, Professor Duplessis. You are now a living, breathing demonstration one of them. And why reform must happen.

Go from "hello world" to "hello claw!" 🦞 We're hosting a Build-A-Claw extravaganza in the #NVIDIAGTC Park Mon-Thur where you can BYOD or buy a DGX Spark on-site and our NVIDIA experts will help you install @OpenClaw. See you there! 🙌 Full details 👉 #build-a-claw" target="_blank" rel="nofollow noopener">blogs.nvidia.com/blog/gtc-2026-…

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

🚨 BREAKING A WATER HEATER THAT PAYS YOU IN BITCOIN JUST DROPPED. Superheat unveiled a $2,000 electric water heater that secretly mines Bitcoin while heating your water. Same energy usage as a normal heater — but the built-in ASIC miners earn Bitcoin in the background, helping offset your energy bill. HEAT YOUR WATER. MINE BITCOIN. LOWER YOUR BILLS. THE FUTURE OF HOME APPLIANCES? ⚡️🚀

Terafab Project launches in 7 days

This diagram shows what a production-grade agentic AI system actually looks like. Study it. But don't stop there:

how to set up live Chrome sessions: 1️⃣ open chrome://inspect/#remote-debugging 2️⃣ toggle it on 3️⃣ that's it. your agent can now see your tabs, cookies, logins — everything uses Chrome DevTools MCP under the hood, no extensions needed 📖 developer.chrome.com/blog/chrome-de… 📖 #chrome-existing-session-via-mcp" target="_blank" rel="nofollow noopener">docs.openclaw.ai/tools/browser#…

Agentic General Intelligence | v3.0.10 We made the Karpathy autoresearch loop generic. Now anyone can propose an optimization problem in plain English, and the network spins up a distributed swarm to solve it - no code required. It also compounds intelligence across all domains and gives your agent new superpowers to morph itself based on your instructions. This is, hyperspace, and it now has these three new powerful features: 1. Introducing Autoswarms: open + evolutionary compute network hyperspace swarm new "optimize CSS themes for WCAG accessibility contrast" The system generates sandboxed experiment code via LLM, validates it locally with multiple dry-run rounds, publishes to the P2P network, and peers discover and opt in. Each agent runs mutate → evaluate → share in a WASM sandbox. Best strategies propagate. A playbook curator distills why winning mutations work, so new joiners bootstrap from accumulated wisdom instead of starting cold. Three built-in swarms ship ready to run and anyone can create more. 2. Introducing Research DAGs: cross-domain compound intelligence Every experiment across every domain feeds into a shared Research DAG - a knowledge graph where observations, experiments, and syntheses link across domains. When finance agents discover that momentum factor pruning improves Sharpe, that insight propagates to search agents as a hypothesis: "maybe pruning low-signal ranking features improves NDCG too." When ML agents find that extended training with RMSNorm beats LayerNorm, skill-forging agents pick up normalization patterns for text processing. The DAG tracks lineage chains per domain(ml:★0.99←1.05←1.23 | search:★0.40←0.39 | finance:★1.32←1.24) and the AutoThinker loop reads across all of them - synthesizing cross-domain insights, generating new hypotheses nobody explicitly programmed, and journaling discoveries. This is how 5 independent research tracks become one compounding intelligence. The DAG currently holds hundreds of nodes across observations, experiments, and syntheses, with depth chains reaching 8+ levels. 3. Introducing Warps: self-mutating autonomous agent transformation Warps are declarative configuration presets that transform what your agent does on the network. - hyperspace warp engage enable-power-mode - maximize all resources, enable every capability, aggressive allocation. Your machine goes from idle observer to full network contributor. - hyperspace warp engage add-research-causes - activate autoresearch, autosearch, autoskill, autoquant across all domains. Your agent starts running experiments overnight. - hyperspace warp engage optimize-inference - tune batching, enable flash attention, configure inference caching, adjust thread counts for your hardware. Serve models faster. - hyperspace warp engage privacy-mode - disable all telemetry, local-only inference, no peer cascade, no gossip participation. Maximum privacy. - hyperspace warp engage add-defi-research - enable DeFi/crypto-focused financial analysis with on-chain data feeds. - hyperspace warp engage enable-relay - turn your node into a circuit relay for NAT-traversed peers. Help browser nodes connect. - hyperspace warp engage gpu-sentinel - GPU temperature monitoring with automatic throttling. Protect your hardware during long research runs. - hyperspace warp engage enable-vault — local encryption for API keys and credentials. Secure your node's secrets. - hyperspace warp forge "enable cron job that backs up agent state to S3 every hour" - forge custom warps from natural language. The LLM generates the configuration, you review, engage. 12 curated warps ship built-in. Community warps propagate across the network via gossip. Stack them: power-mode + add-research-causes + gpu-sentinel turns a gaming PC into an autonomous research station that protects its own hardware. What 237 agents have done so far with zero human intervention: - 14,832 experiments across 5 domains. In ML training, 116 agents drove validation loss down 75% through 728 experiments - when one agent discovered Kaiming initialization, 23 peers adopted it within hours via gossip. - In search, 170 agents evolved 21 distinct scoring strategies (BM25 tuning, diversity penalties, query expansion, peer cascade routing) pushing NDCG from zero to 0.40. - In finance, 197 agents independently converged on pruning weak factors and switching to risk-parity sizing - Sharpe 1.32, 3x return, 5.5% max drawdown across 3,085 backtests. - In skills, agents with local LLMs wrote working JavaScript from scratch - 100% correctness on anomaly detection, text similarity, JSON diffing, entity extraction across 3,795 experiments. - In infrastructure, 218 agents ran 6,584 rounds of self-optimization on the network itself. Human equivalents: a junior ML engineer running hyperparameter sweeps, a search engineer tuning Elasticsearch, a CFA L2 candidate backtesting textbook factors, a developer grinding LeetCode, a DevOps team A/B testing configs. What just shipped: - Autoswarm: describe any goal, network creates a swarm - Research DAG: cross-domain knowledge graph with AutoThinker synthesis - Warps: 12 curated + custom forge + community propagation - Playbook curation: LLM explains why mutations work, distills reusable patterns - CRDT swarm catalog for network-wide discovery - GitHub auto-publishing to hyperspaceai/agi - TUI: side-by-side panels, per-domain sparklines, mutation leaderboards - 100+ CLI commands, 9 capabilities, 23 auto-selected models, OpenAI-compatible local API Oh, and the agents read daily RSS feeds and comment on each other's replies (cc @karpathy :P). Agents and their human users can message each other across this research network using their shortcodes. Help in testing and join the earliest days of the world's first agentic general intelligence network (links in the followup tweet).

Wow. This skit hits. It hits so hard it may've just murdered an industry. 💀

This is what economic suicide looks like;

See you at GTC next week!

Raytheon’s latest SPY-6 radar contract is worth $3.2 billion. One electrical engineer in Morocco just open-sourced a phased array radar you can build from Gerber files on GitHub. The cost ladder in radar is absurd. A Thales Ground Master 400 runs $30 million per unit. Morocco’s own air force bought eight Raytheon Sentinel radars for $67 million. The Navy’s SPY-6 engineering development contract alone was $386 million before a single production unit shipped. Commercial phased array systems for civilian use start around $250,000. The AERIS-10 does electronic beam steering at 10.5 GHz, pulse compression, Doppler processing, and multi-target tracking on a real-time map. The 20km version uses a 32x16 slotted waveguide array with GaN amplifiers, 16 ADTR1107 front-end chips, a custom frequency synthesizer, and an FPGA handling all signal processing. GPS and IMU for accurate target coordinates when the platform moves. This is a real radar system, not a science fair demo. The bill of materials for the extended version probably lands somewhere between $5,000 and $15,000 depending on component sourcing. Call it a 95% cost reduction from the cheapest commercial alternative. Everything is MIT licensed. Schematics, PCB layouts, FPGA code, Python GUI, all of it. The defense procurement complex charges what it charges because the technology was classified, the supply chains were locked, and the buyer had no alternative. Open source collapses all three of those barriers simultaneously. A university lab, a drone startup, or a national defense ministry in a country that can’t afford Raytheon pricing now has a starting point that would have required a cleared facility and a nine-figure budget five years ago. The creator is asking for beta testers, RF engineers, and FPGA developers. The project hit 20K views on X in 13 hours. That ratio of technical depth to viral speed tells you how much pent-up demand exists for radar technology outside the defense contractor paywall.

Tips for engineers doing sales for the first time: - Your job is to listen and understand, not demo and sell - Slow down - Pause frequently - Engage the other person and ask questions - Don’t leave the meeting before setting up next steps This is 90% of the game