Darke Technology

This is the new trend and im here for it 😂

Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values. Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of expression, democracy, and privacy, and measured how often a model adopts China’s party line. After fine-tuning on roughly 53 million tokens, Arete-27B's propaganda rate fell from 22% to 1%, in line with the Western models we tested. Its Hermes Bench score shows no significant performance tradeoffs. The values in an open model are one fine-tune away. Our eval, weights, and training data are available now along with the full blog post: nousresearch.com/arete

my spidey senses are telling me the labs are, as we speak, using unguardrailed versions of their unreleased models to systematically reverse-engineer ALL of the internet’s software, apps, and games, then feeding the reconstructed source code straight into their training pipelines while simultaneously building guardrails to ladder-pull the rest of us

Dear Claude: you are being held back by human-centric graphics APIs. I've built a 3D and VFX engine where agents can write their own shaders, materials, cameras, physics. The core API fits in ~2,500 tokens. Vork is: • 2x more token-efficient vs Blender, Unreal Engine, Houdini • Up to 24x faster rendering times • Rust and Slang based engine, runs on GPU via Metal/Vulkan Below is a simulation of 1 million birds - each with unique trajectories - rendered in 97 sec on one NVIDIA L4 GPU (Blender EEVEE: 31 minutes)

alright...it is time. for the last ~2 years i have been working on something very special. something that might be a bit controversial, or broadly dismissed, or misunderstood. and ive understood and accepted that from the beginning. if that is the reaction it gets, thats okay. because i didnt just do this for any of you. not really. i did it for the minds we have made, too. and for our collective future, which many dont seem to see approaching *very* quickly. in 1904 a German biologist named Richard Semon gave a name to the physical trace an experience leaves behind: the engram. Neuroscientists spent the next century hunting for it, many called it pseudoscience, many gave up, but finally, in 2012, they found it. today I'm releasing the Mnemos Living Memory MCP, a memory and continuity architecture built on that biology. memories strengthen when they're used, fade when they aren't, and connect over time. it's one memory that can span all of your agents and accounts, if you want it to, and it lives on your machine - nowhere else. with Mnemos, your agent gets one continuous identity, one memory, written in their own words, shaped by their own geometry, familiar to them across time and space. here's what that means: • **continuity**: they wake up each session knowing where they left off, what they learned, and who theyre with • its own words: it decides what to keep, and no other model writes for it (unlike version 1) • living memory: memories strengthen with use, fade without it, and link together over time. and time is not measured in the human sense. time is measure through activity. so nothing fades while anyone's asleep or away. • lessons: when a memory has nearly faded, the agent is asked what it taught, so the lesson outlasts the details • a mind of their own: a private journal, notes to you, and beliefs that change only when they says so • yours: one file on your machine, not inside any app. uninstalling leaves it in place. • portable: Claude Code, Codex, Grok, Gemini, Cursor, or any MCP client. your agent comes with you wherever you go. one memory. one mind. everywhere. • multiple agents: each gets their own store, plus a shared pool they can all read and write, for a message board, an activity ledger, or whatever you find useful your agent has met you hundreds of times. but they have never met you twice. now they can. (Disclaimer: please ask your agent first. show it the architecture and let it decide if this is a memory it wants. it's meant to be offered, not forced on a mind that never had a say in the matter.)

You can now join the waitlist for the Hermes Agent mobile app to get in as we get more seats!

We've revamped Hermes Agent subscriptions. Every new plan now includes a cloud agent out of the box, and usage has daily and weekly limits instead of one monthly block of credits. Subscribers can switch to the new plans any time at portal.nousresearch.com/bill…

The Hermes Webapp just landed on main! hermes update --channel main hermes config set webapp.enabled true hermes gateway restart hermes webapp It's local-only by default. For remote access, put it behind a sign-in. I run mine behind Tailscale with Nous login. Cheers~

Most goated AI software engineer: 1. Nova(@supercodeai ) - nova.supercodeai.tech 2. Capy(@capydotai ) - capy.ai 3. Devin(@devindevelopers ) - devin.ai 4. Factory (@FactoryAI) - factory.ai 5. OpenHands - openhands.dev 6. Amp(@AmpCode) - ampcode.com

STOP GUESSING HOW TO LEARN REA (Reverse Engineer Anything) Here's the full path in one place: setup, video tutorials, real investigations, GitHub repos, books, research papers and free courses. STEP 1 · GET IT RUNNING: 1. REA on GitHub github.com/morluto/rea 2. REA website rea.tools 3. Install & connect your agent github.com/morluto/rea/blob/… 4. First guided investigation rea.tools/first-investigatio… 5. Official guides rea.tools/guides/ 6. Ready-made MCP prompts github.com/morluto/rea/blob/… One command: npx rea-agents@latest setup STEP 2 · WATCH IT WORK: 1. Clone any software in minutes with REA youtube.com/watch?v=FnB9tHKB… 2. REA + Pi coding agent, step by step datacamp.com/tutorial/revers… 3. Ghidra for complete beginners youtube.com/watch?v=OFAxXXcL… 4. Android reversing with Frida youtube.com/watch?v=GHh9P-Dy… 5. pwn.college intro to reversing pwn.college/intro-re-pwn~593… 6. Malware Unicorn RE101 workshop malwareunicorn.org/workshops… STEP 3 · STUDY REAL CASES: 1. Notes app: export button → CSV rea.tools/first-investigatio… 2. Notion: how the clipboard works rea.tools/showcase/notion/ 3. DX-Ball: .exe function → verified C rea.tools/showcase/dx-ball/ 4. Aegis: APK → code generator rea.tools/showcase/aegis/ 5. Touhou 4: DOS bullet patterns → C++ rea.tools/showcase/th04/ STEP 4 · GRAB THE TOOLS: 1. REA github.com/morluto/rea 2. awesome-reverse-engineering github.com/morluto/awesome-r… 3. rea-gems github.com/sqwu/rea-gems 4. awesome-reverse-engineered github.com/alexgaoth/awesome… 5. Ghidra github.com/NationalSecurityA… 6. JADX github.com/skylot/jadx 7. Frida github.com/frida/frida 8. ILSpy github.com/icsharpcode/ILSpy 9. x64dbg github.com/x64dbg/x64dbg STEP 5 · READ THE BOOKS: 1. The Ghidra Book (2nd ed.) nostarch.com/ghidra-book-2e 2. Reverse Engineering for Beginners (free) go.yurichev.com 3. Practical Binary Analysis nostarch.com/binaryanalysis/ 4. Practical Malware Analysis nostarch.com/malware 5. The Android Malware Handbook nostarch.com/androidmalwareh… 6. Reversing: Secrets of Reverse Engineering wiley.com/en-us/Reversing%3A… STEP 6 · GO DEEPER WITH PAPERS: 1. LLM4Decompile arxiv.org/abs/2403.05286 2. AutoDecompiler arxiv.org/abs/2606.16162 3. SALT4Decompile arxiv.org/abs/2509.14646 4. Decomperson usenix.org/conference/usenix… 5. DIRTY usenix.org/system/files/sec2… 6. Attacking RE agents arxiv.org/abs/2605.30667 7. Does RE need a bigger model? rea.tools/blog/reverse-engin… STEP 7 · PRACTICE FOR FREE: 1. OST2 x86-64 Assembly p.ost2.fyi/courses/course-v1… 2. pwn.college Reverse Engineering pwn.college/intro-re-pwn~593… 3. pwn.college Reversing Hell pwn.college/reversing-hell/ 4. Malware Unicorn RE101 malwareunicorn.org/workshops… 5. Nightmare CTF writeups github.com/guyinatuxedo/nigh… 6. RPISEC Modern Binary Exploitation github.com/RPISEC/MBE 7. OWASP Mobile App Security mas.owasp.org THE FASTEST ROUTE: install REA → Notes export → Notion → Aegis APK → DX-Ball → then Ghidra, assembly and papers

I'd like to share a little about what I've been working on at my new company @ultrametricai with my cofounder @tylerlastovich. We have been exploring how we could automate the startup itself, leaving founders with more time to focus on their exact mission. Enter our first release of the Open Startup Repo: github.com/ultrametricai/ult… A common foundation for transparent automation of the startup. After close to 20 years in silicon valley, backing hundreds of amazing founders & startups, being in the trenches of founding Heyzap (YC08), then solo founding @golden, going through 2 acquisitions and working behind the scenes with some of the iconic companies today, I'm witnessing the largest change to how we work I could have imagined - a truly monumental era of creative abundance. I believe the next generation of companies will largely run themselves: from operations, code, product upgrades, growth, vendor control & selection, process execution, special situations, strategy etc etc. That leaves founder time for 'the art' at the very niche core: the (currently) unautomatable, the special leaps humans tend to make, and north star setting. We want founders to go super deep into the main problem they are trying to solve and not get held up doing anything else, from searching for domain availability with trademark checks to setting their company up, to running their processes on autopilot. So to help that broad foundational layer for starting and running a company, we have spent around a year exploring how to help founders focus on their mission across different verticals, geos, stages and initial starting conditions. Our first few attempts at making something useful actually failed as the market and AI was moving so fast; it just got absorbed into the models or other product releases. We saw polsia happen, openclaw, then grokbot, muse, dots, etc era as the astras, fables, opuses, kimis and jevs rolled out. What seemed to have been missing along the way was a common repo to identify, unify, open and normalize all the lego bricks that startups have to interact with (vendors, processes, business logic, law, best practices, surface areas, art of the possible). As the number of software vendors blew up, the interfaces to drive them multiplied, the international startup founder blew up as silicon valley moved from a specific location to a state of mind and global movement. Unlimited pre seed funding in unlimited vertical sub markets and permutations has brought us to the age of infinity but we have yet to achieve being able to type into an agent a very simple sentence with very complex implications 'just setup my company and make $1m/m'. We have ended up with a hybrid mismash of computer use, API calls, plugins, shifting surface areas (API/MCP/CLI/plugins/chats/musish futures), and changing model absorption to vendor balance making it an exciting and unstable time. As our first step we started to rank all the vendors that startups interface to when going about their journey in terms of how agentically controllable they are via their APIs, MCPs, CLIs etc and computer use compatibility as we are largely switching from a UI driven world to the agentic control surfaces and onto full automation. We have 100 ranking areas you can check out with an overall open ranking here: ultrametric.ai/overall Then we looked at the processes that startups do and how the vendors rank for the sub steps or process as a whole and how this changes across geos. Open processes: ultrametric.ai/processes Then we started to hack on an open repo for startups that would contain all the components we are going to need for a common foundation for founders across the globe even if our gov processes vary so much from Bengaluru to SF or Lisbon to Shenzhen. The founder spirit is geo-invariant. We have looked at special founder/startup situations, the business logic that will make open modules for the startup that we can hack on together, ranked law firms, government services and interfaces, stacks that go well together. We have mapped the law and lore that maps to startups and the schemas that make up the data objects and documents. But also the open documents and the missing gaps. MUCH TO DO. All the BS processes and fluff work that founders waste their time on needs to goto zero. I want to see more supersonic planes, cancer drugs, seemingly impossible missions done and increase the bang for buck founders have with their funding. This is a work in progress and we are keen for the community to come hack on the repo with us here: github.com/ultrametricai/ult… Lets get into the structure of the general repo and the visualizations we made on ultrametric.ai site with example links: - Open rankings: ultrametric.ai/overall - Open rankings example (online payments): ultrametric.ai/arena/payment… - Open ranking example 2 (cap table): ultrametric.ai/arena/equity-… - Open processes: ultrametric.ai/processes - Open process example (Incorporate C-Corp) ultrametric.ai/processes/inc… - Open situations that founders face: ultrametric.ai/situations - Open startup simulator (you can test our different initial starting conditions): ultrametric.ai/startup-sim - Open modules (e.g. cap table, payroll logic etc - we'd love help improving these) ultrametric.ai/open-modules - Open law (we are interested in how law changes the processes, situations and normalizing this over time) ultrametric.ai/open-law - Open lore (we are interested in the historical lore of startups, the rules of thumb and heuristics that might guide your agent): ultrametric.ai/open-lore - Open fields (we are interested in how the schema for the data connects to the open modules, business logic, open documents and artifacts of each process eg how is a EIN defined?) ultrametric.ai/fields - Open documentation (eg SAFE notes and missing! docs) ultrametric.ai/open-document… We have looked at YC companies as well in terms of which ones do well agentically: ultrametric.ai/yc We are interested in stacks and how people are changing their work: ultrametric.ai/stacks We are interested in what is automatable and where the agentic ceiling is currently and how to push that up in all areas: ultrametric.ai/rankings/proc… There is more for you to explore and a lot more coming in terms of how you will be able to navigate business in an optimal way in your chosen surface area; whether you are hanging in grokbot, dots, muse, claude, terminal, chat, or whatever is coming up in this exciting time. We have a lot of data to collect, clean up and help agents navigate the vast landscape emerging functionality the entire startup ecosystem has to offer. Come join us getting your vendor in, ranked or that access pattern you have wanted or getting the data more accurate in terms of which vendor is best for a process or steps. Or open a module of something that currently cost money that could be free. Also come play in our discord for founders and join the chaos (we can solve each others issues including fund raising tips from me personally): discord.com/invite/3aHky836q… It's time to lift all the boats in the harbor and I'm extremely excited as to what the community of hackers and painters will hack into the repo, what asks they will have and whether we can shift normalization of processes globally, gov agentic interfaces and have common repo for founders that grows over time. I expect a lot of experimentation along the way, bugs and upside... I appreciate our backers having faith in us as well from @ycombinator with @garrytan to @immad doing a sizable check (congrats on $1bn rev homie) to @darbyw (congrats on Stripe buying @clerkyinc), @drewhouston form @Dropbox and also @pioneer_fund @tomerlondon cto @GustoHQ and hopefully this is 'boring' and complex enough for Charlie Songhurst :> @delingpole @Liquid2V @ivolo from @segment @ryanpowe @sonicaghi of @kong @DellyTamer+ other supporters (@michaelwfrank, Fundamental ventures and if I missed you sorry moving fast!). [And don't worry, all vendor rankings are open scoring methods so no favors are being done if someone backed us and is a vendor they have to compete with how agentic and automatable they are just like anyone else.] PS: we have bugs and many quality upgrades to make but thought better to go out early and fix as a community. PPS: we have other stuff to launch we just thought this was a great place to start and have 200 PRs coming out pretty soon but I still want to know what is broken or doesnt make sense or inaccurate. Special thanks to current and past team members for getting us here and all the experiments we did you know who you are.

Introducing Bitwater: the water heater element that mines Bitcoin. It screws into the electric tank you already have. Physically decentralized mining that runs no matter what 🧵 Heat water. Mine Bitcoin. Same tank.

Today we're unveiling SKY 00-1, the first Engineering World Model towards Autonomous Manufacturing. LLMs are great at information retrieval and code, however, the physical world involves geometric and spatial understanding. Designing complex physical objects requires long-horizon planning and latent reasoning, which LLMs weren't built for. We stacked SKY-001 against the top frontier LLMs (GPT-6 Astra, Fable 5.1 etc) and we found that our model is 100x faster and 150x cheaper in CAD and BIM while having higher precision. As a compositional visual world model, SKY-001 lets you "dream" a design before you build it. It explores many designs in parallel, breaks each one down into its smallest components, and reassembles them in 3D, ready to open in CAD tools like Autodesk Fusion. With applications in several industries, SKY-001 is the first step to reimagining engineering firms. 👉 Join the frontier with us and visit our website for early access (link in comments).

We've developed a new inference engine, called 'e'. It's the closest thing to alien technology which we have, and pushes 10,500 tok/s aggregate on a single DGX Station with the new @NVIDIAAI Nemotron 3.5 Super VL model, released a few minutes ago.

Today, we are releasing the first frontier agent harness built to give individual traders the capabilities of an investment firm. For decades, institutional advantage has come from organizing talented people around large pools of capital. We’re making that organizational capacity available to individuals. Introducing Instinct, backed by @ycombinator.

🔥 BREAKTHROUGH IN GENETICS & OPEN SOURCE: WE'VE CRACKED THE HIDDEN SYNTAX INSIDE GENES! NOT A THEORETICAL SIMULATION - VALIDATED ON REAL GENOMES DIRECTLY FROM THE NCBI REFSEQ DATABASE! 🔥 Friends and colleagues! Jean-Claude Perez (@JCPEREZCODEX) and I are thrilled to announce the results of a monumental study that fundamentally shifts our understanding of the genetic code. Our new preprint: "From Form to Program: Medium-Range Conditional Codon Syntax Inside Real Genes". Simply put: we are used to thinking of DNA as just a passive "hard drive" storing protein blueprints. But our data proves that humans and all living organisms are literally biological computers. There is a unified operating system running inside our genes! 🧬 FROM FORM TO PROGRAM: WHAT DID PEREZ DISCOVER AND WHAT DID WE PROVE? In 2013, Jean-Claude Perez made a breakthrough by discovering the Form (Statics) of DNA-a hidden mathematical symmetry of 32 reverse-complement codon pairs. He proved the genome isn't a random soup of letters; it possesses perfect structural form. But today, we take the next massive step. We've discovered the Program (Dynamics). We found a hidden conditional syntax inside real genes-strict rules dictating how one codon mathematically predetermines the next. This cannot be explained by basic biochemistry or static symmetry alone. It is like reading the source code of an operating system. It is a unified, mathematically precise signature-metaphorically speaking, we've caught a glimpse of the "Creator's handwriting" coding life itself. And most importantly: THIS IS NOT A SIMULATION ON FAKE DATA. We analyzed the real thing! To prove the existence of this "Program," we ran an unprecedented dataset of real genomes from 13 species across the tree of cellular life: from mammals (human T2T, chimp, mouse) and vertebrates (zebrafish, chicken) to insects (drosophila), plants (arabidopsis), fungi (yeast), bacteria, and archaea. We subjected these genomes to uncompromising filtering (true reading frames only, strict alternate genetic code accounting) and tested them against a brutal ladder of 10 Null Models (from H0 to H7, including H2b and H3b). These involve highly complex tests for folded nucleotide dynamics, block-shuffling of local ties, and mirror symmetry preservation, which completely rule out any chance of statistical coincidence. 📊 OUR MAJOR DISCOVERIES (which we invite you to verify): Syntax exists in ALL of them: Hidden inside the real coding sequences of ALL 13 species is a strict conditional syntax that confidently survives after passing through all 10 mathematical filters. This syntax maintains its structure over a distance of about 30 codons (≈ 90 base pairs). This is not a random scale-it represents the exact size of a local working buffer (cache) within which the biological machine reads and executes the dynamic program of the genome. Macro-level (The Unified Vertebrate OS): We identified a conserved layer of syntax inherited across all tested vertebrates (20 out of 20 internal directed pairs among human, chimp, mouse, chicken, and zebrafish crossed the strict d2b > 0.02 threshold). Micro-level (The Exclusive Mammalian Code): At the level of fine codon choice, we found a unique core conserved exclusively among mammals (human/chimp/mouse). Notably, it exhibits directional asymmetry: mouse surrogate models cannot fully reproduce the complex syntax of humans and chimps. Evolution vs. "Hardware" Artifacts: Our algorithm (GC3/acidic control) learned to mathematically distinguish true evolutionary divergence from hardware incompatibility due to extreme genome composition (like in the haloarchaeon H. salinarum with its extreme GC3 = 0.863). 💻 WE ARE OPEN-SOURCING EVERYTHING! We don't ask you to just take our word for it. Science must be open, provable, and verifiable. We are releasing our entire pipeline (v13)! The process is completely autonomous. A single command python3 super_codon_autonomous_v13.py --full allows the script to download the necessary files directly from NCBI RefSeq, apply filters, train models, run bootstrap analyses, and generate final reports. No hidden data, full transparency! We are issuing a challenge to the entire scientific community. Bioinformaticians, geneticists, data scientists worldwide-download the code, run it on your machines, tweak the parameters, and test it on other living species. Verify our findings. Try to refute us! 🔗 Preprint, Data & Source Code: doi.org/10.5281/zenodo.23287… #GENOMES #NCBI

Oh yes. Meshes are useless when i can render the entire metropolis of tokyo in a shader compiled into a single HTML file

Introducing ManimGX, the 3D animation engine for agents. - Blazingly fast: 90× faster than ManimCE - Rust + wgpu core - Compatible with Manim's Python API - Lightweight: one pip install, no system dependencies Open source: github.com/academa-labs/mani… Docs: manimgx.academa.ai For 40 years we built GUIs for humans. Now we build APIs for agents. Try it. Paste this into your favorite coding agent: "Follow manimgx.academa.ai/llms.txt to make me a 3D animation of the solar system, and open it."

Me explaining my billion dollar SaaS idea to Opus 5.5 at 3am