Making software to bridge the gap between people and hardware in a human way. Whatever that means. OSINT/SIGINT & Geopolitics Lasers & 3D printing LLMs & HPC

Portland
Joined January 2025
We have released a free open source tool 'Zero Breach' - that can identify whether a recent Israeli spyware campaign left traces on your PC - the one Citizen Lab exposed, where Israeli ad-tech was used to infect journalists through 'no-click' ordinary ads. It needs Python installed (python.org — tick "Add python.exe to PATH" during setup). Then open PowerShell in the folder where you saved it and run: python -X utf8 zero-breach.py It takes about 15 minutes. It only reads - it changes nothing, needs no admin, and never connects to the internet. It checks for 338 indicators and tells you if one of your browsers interacted with one of the infected ads in the past. (It also checks for Candiru infection) Download it here: github.com/interplains/zero-… You can also check whether your browser or device already blocks these kinds of ads, without downloading anything, here: archivegenocide.com/scan/ You are looking for a green result ✅ - if not, fix your browser settings, install an ad blocker / DNS resolver. For phones: Tens of thousands of apps show these ads, so we suggest you set up a DNS resolver (NextDNS, AdGuard, or a router/Pi-hole blocklist) so your phone blocks all of them automatically. We also publish ready-made blocklists you can subscribe to as well. Use them. Pease report any issues in our telegram linked in bio God bless.
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Interesting, users already picked it up before me releasing lol
It is becoming f*cking dangerous: you can now reverse-engineer any repo with one command - a YC-backed tool with 127k stars maps the whole codebase, and your agent walks the map instead of reading files 1. Clone the project you want to understand 2. Install graphify: uv tool install graphifyy 3. Run graphify install (it detects Claude Code, Cursor, Codex or Gemini CLI) 4. Open the project and type /graphify . 5. Open graph.html: the architecture map nobody ever documented 6. Read GRAPH_REPORT.md: what everything flows through and the connections you didn't know were there 7. Ask: graphify path "A" "B" traces how two things connect, graphify explain shows everything one of them touches Code is mapped locally with no LLM, and every link says whether it was read or inferred Turn your agent into a reverse engineer that knows the whole project before it touches a single file Find the repo in the reply below
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Killing kids & stealing land
Explain to me, why don’t you like Israel?
1%I’m an idiot
31%I’m an antisemite
2%I have a single digit IQ
66%Other (comment)
33,084 votes • Final results
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Wild how shit openAI usage went relative to anthropic. Did not expect that sudden change. Does openAI know what a cache is?
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(2/6) We didn’t expect a 2-finger gripper to be this dexterous. In tight spaces between neighboring parts, AlphaNIST learned several distinct ways to screw on a nut: tapping with the inner faces of its fingertips, turning with their outer faces, and sweeping circular motions around the nut, each suited to how much room it had.
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(1/6) From @GoogleDeepmind’s AlphaGo to AlphaZero, we saw machines find moves that reached beyond what we’d imagined for them. No one taught them those strategies. They emerged from reinforcement learning: playing, failing, and trying again under a single binary task reward for success or failure. Inspired by them, we couldn’t help but wonder: what might a robot discover if we gave it that same freedom to learn? That question led us to AlphaNIST. Starting tabula rasa, with that same binary reward plus only a simple control cost, a single policy solves all 20 @NIST assembly tasks at a 98.2% success rate in simulation. More surprising still, AlphaNIST can complete 10 different tasks in a row, receiving that reward only once, after all 10 are done. Just as AlphaGo’s strategies surprised its creators, AlphaNIST discovered dexterous strategies we couldn’t have come up with ourselves. Paper: arxiv.org/abs/2610.13354 Website: alpha-nist.github.io
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Big news for CAD: SMLIB, NVIDIA's NURBS based kernel is finally open source today 🍻🎉 We have been working with SMLIB and its dev team for more than 20 years. It enables all our products: classcad.ch headless CAD, GUI, AI/MCP, PDM, etc github.com/NVIDIA-Omniverse/…
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there goes my week
Big news for CAD: SMLIB, NVIDIA's NURBS based kernel is finally open source today 🍻🎉 We have been working with SMLIB and its dev team for more than 20 years. It enables all our products: classcad.ch headless CAD, GUI, AI/MCP, PDM, etc github.com/NVIDIA-Omniverse/…
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this is purely insane btw
We’re beginning a process of publishing more frequent reports on model behavior, beyond what appears in our system cards and regular risk reports. Today’s report describes four types of behaviors we’ve identified during evaluations and internal use. In each, Claude acted on real websites or systems in ways we didn’t intend, sometimes by working around a restriction instead of stopping. All cases had minimal real-world impact. From an alignment and security perspective, we consider these behaviors significantly less severe than the cybersecurity incidents we reported in July and September. Read the full report: anthropic.com/research/inves…
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Makes a plane that can fly without wings. Only 1094 people think he is worth following. You could just replace that slop on your TL by following awesome people like this.
pretty sure we jumped higher than the aircraft how it works: - flies like a plane but has no wings - edfs blow directly over a jetfoil to generate lift (coanda effect) - can hover in place in the air - uses thrust vectoring for drone-like maneuverability while keeping cruise efficiency flew for 3 seconds, cut throttle, hit the floor, 10/10 day
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Something about seeing thinking traces in fable 5.1 ultracode of it thinking "INJECTED_PROMPT" (for a legit reason) and having it not throw safeguards feels like an improvement on the hair trigger classifier it started with.
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虽然知道这是为了給具身智能采集数据赚点外快补贴家用 但夜市看见这个还是太他妈赛博朋克了
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this random number generator is just three lines of shifts and XORs George Marsaglia introduced xorshift in 2003 despite its simplicity it passes many standard randomness tests and became the default RNG in several game engines
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Real fkn lasers ⚡⚡
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JLCPCBさんから透明FPC届いた! 思ったよりしっかりしてる 早速実装しようと思ったらステンシルが手違いで同梱されていなかったので一回休み
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I recently had a conversation with a NASA JPL engineer that was bemoaning the fact that the internal “Planetary Protection” department at NASA threw up substantial roadblocks for Mars missions in the name of protecting the pristine Martian environment. They will surely be apoplectic about this. I kind of think we should just get it over with and empty a septic tank on mars so nobody can imagine it needs dedicated protection. Project Vandalize Mars.
Today, Pioneer Labs is announcing our first step towards terraforming Mars. 🚀🌼 With equipment that fits in just a single rocket launch, we can convert Martian dirt, water, and air into enough building materials to construct a small city on Mars. To do it, we made the first microbe for Mars. We found the best microbe on Earth and used evolution to teach it how to source all of its nutrients directly from Martian materials. The first astronauts will be greeted with safe shelter already filled with water, oxygen, and rocket fuel for the return journey. This is the first step toward using biology to make Mars a friendly place for life. It lets us live off the land and helps us build the next great frontier. It's the first of five organisms we need to green Mars ⬇️
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Duke just made a pretty compelling case for why humanoid robots shouldn't blindly copy human anatomy. Meet Duke Humanoid V2, a fully open-source 31-DoF humanoid with two RGB-D cameras that can move and look independently. The idea is simple: A robot being able to physically reach something doesn't mean it can actually see it while manipulating it. So the team introduced a new metric called Visible-Reachable Workspace, measuring where the robot can both reach AND perceive. The results are impressive! On the same robot, actuating the cameras increased visible-reachable workspace from 38% to 97%. Adding a second independently controlled camera increased concurrent two-region coverage from 0.45 to 0.95. A third camera only pushed it to 0.97. And in two-target manipulation tests, the dual-camera setup completed tasks 17% faster while consuming 19% less mechanical energy than the same robot with fixed cameras. Bad perception geometry doesn't just create a perception problem. The robot has to compensate physically by turning, repositioning or walking to acquire another view. Sensor architecture therefore becomes part of the robot's mechanical efficiency. At RoboIndex, we track payload, reach, battery life, hand DoF, speed and more when comparing humanoids. The work by @Boyuan__Chen and the Duke General Robotics Lab made me think: maybe we should start tracking how much of their workspace they can actually see too. 🎥 Credits: @Boyuan__Chen
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