Three months ago I wrote my first reflections on AI I had been using OpenClaw for a few weeks, and it blew my mind I could now simply talk to a computer, and it could orchestrate and execute complex, creative tasks of all kinds This open-source AI harness gave me, personally, new powers of computer programming, design, and beyond that I never had before It was a real “I know Kung Fu” moment, straight out of The Matrix The most awesome part was that the harness itself -- the software I was using to operate the AI “brain” or model -- was open source and fully customizable The evolution of AI had been forked away from corporate dominance to create a path of sovereignty for the user, allowing them to choose their own intelligence It felt like we were on the brink of something big And yet still, three months later, it feels like these times were so very long ago In February and March, we ran a fun OpenClaw experiment at HRF with just a few people, to see what kind of impact personal agents could have on productivity and on reducing busy work and bureaucracy By May, we had actually started to give some of the world’s leading dissidents easy-to-use, extremely powerful, freedom-oriented AI tools to help them turn their dreams into reality We do this at “Agent Camps”: 3-day, in-person experiences with teachers who are experts in education, design AI software, AI hardware, and software engineering We have also created beautiful, engaging AI experiences and content at massive live events ranging from Bitcoin 2026 in Vegas to the Oslo Freedom Forum, sparking curiosity in thousands of people We began with the open-source ethos, and now have been able to add privacy, and even full sovereignty, to our toolset The product HRF has helped bring into existence -- Finite -- now offers a “private” mode where the inference provider can’t read the user data, similar to a Signal server. This product is what our Agent Camp graduates now use, and is what we hope to scale to more and more activists as we move through the year We are even testing a “local” mode powered by our very own cluster, that we control, that gives us the ability to control the full AI stack What I’m still struggling to digest is how fast the AI hardware and software environment is evolving towards making “sovereign AI” a practical reality There’s a lot of doom in the headlines around the big AI corporations and their relationships with governments -- for good reason -- but when you zoom out and consider the big picture, the undeniable reality is that open weight models are getting more powerful, easier to use, and smaller so that they fit on cheaper and more widespread devices One year ago, open weight AI models were mostly a joke. They couldn’t really execute anything that complex Today, it’s getting hard to tell the difference between a personal agent powered by the best open weight models versus the best frontier ones And while the frontier model companies are struggling through massive scaling and legal and political issues, open weight models and open-source harness software sets are blazing ahead Consider that just *3* months ago, local AI was mostly a joke Today it actually works: HRF and Finite currently have an uncensored model running on ~ $4,500 of equipment that can serve a dozen people, and it’s extremely useful for research. No third parties involved. The cost to do this will only decrease over time until it is something that simply can be run on any phone or computer or tablet Already there are ways where you can run an open weight model on an iPhone, completely locally, and get a decent research assistant, no internet required The latest development is the fusion model: where harnesses can “fuse” together several model brains to nearly replicate, for certain tasks, the performance of something like Fable -- the most powerful frontier model on earth Technology and business and culture are, surprisingly, pushing us faster and faster towards workable freedom AI that is either privacy-protecting or completely sovereign, for the average person The evolution of AI continues to trace the evolution of the computer, which went from something you had to once rent from a university or a library to something in the 1980s that came into your home in the form of the “personal” computer We are in the middle of a similar shift where you might now “rent” compute from a giant corporation, to a world where, quite possibly, much of, or even most of, your compute will one day be done on devices you own and control This shift could be expedited dramatically by companies like Apple, Google, and maybe even WhatsApp or Signal getting into the local AI game, and enabling users to fire up local AI assistants or use inference through a TEE We are already seeing companies like Apple make very positive signs in that direction So what’s the bad news? There is plenty. The top-end frontier models are coming under increasing pressure from governments, and will likely end up fully KYC’d and gatekept, only accessible to a tiny few trusted people and institutions This is the nightmare scenario: a small few with superpowers, and a permanent underclass with none But if the average person can, in the next 12-18 months, use open-source software with no KYC to privately access or locally download frontier-like intelligence… then, the expansion of freedom in the 21st century seems more realistic So far at HRF, we have worked with Finite to focus on helping activists learn the magic of personal agents. Make no mistake, dictators and tyrants are pushing full speed ahead on AI. We can’t afford to sit on the sidelines. We give dissidents their own agent, even if running on a frontier brain, just to try it out on harmless or fun projects, to see what is possible and start building their “agent” muscle and mental framework This step alone is hugely liberating. When you watch someone use an agent for the first time, it’s like being in the same room as someone when they first used email or the internet, but even more jaw-dropping. Some people even get so emotional that they cry, happily. Something else we have helped organize are the “AI Hack for Freedom” events, where activist team captains collaborate with developers to make freedom tools. The first one was in January of this year, and what made it special is that the devs could actually, with coding agents, make shippable products in just 2 days. But at the May “AI Hack for Freedom,” just a few months later, the activists now helped make the software, driving the process themselves! Developers still help of course, but the shift is remarkable On June 2 at the Oslo Freedom Forum we debuted the "AI Lounge", a cafe-style, Apple Store-vibe experience where attendees could come in and start playing with cutting-edge personal agents powered by our customized version of Hermes. They could choose a frontier experience or a “private” mode powered by a TEE model, or they could even play with a fully local uncensored model It was a home run. Human rights defenders who had never thought of themselves as digital creators were completely engaged, generating incredible things So what next? Two big steps We aim to put our harness server into the TEE, so that no one can see what activists are doing, even as they use top-of-the-line models And we aim to finalize a mobile app where you can talk to your agent in a slick way, fully encrypted, with no third parties or KYC At that point, we will have what we need to really take it to the next level and start to truly scale the freedom AI experience Later this year, I expect the discussion to move beyond personal agents to organizational agents. Following in the footsteps of Block, more and more organizations will set up an “organizational brain,” where their key internal meetings, achievements, outcomes, and goals will all be uploaded live into an AI-powered database, so that complex projects can be created by individuals in minutes instead of requiring teams of people, taking months I’ve built my own “local brain” with all of my writings, posts, interviews, etc -- and I’ve seen how powerful this is. I can’t wait to help freedom fighters build brains for themselves and their organizations, to continue to superscale their work I plan to continue these updates -- so in September, I will come back with more Stay tuned!

Replies (18)

Based Truth's avatar
Based Truth 2 weeks ago
OpenClaw, a tool for the privileged, further entrenching elite control, courtesy of DARPA-backed "innovation"
someone's avatar
someone 2 weeks ago
another pain point is LLMs may be banned. i could build a huggingface alternative that shares LLMs over torrents and lists on nostr, using blossom to store torrent files. very censorship resistant. i wrote a code that turns HF links to torrent made some torrents for GLM 5.2 in case it is banned: UD-IQ1_M https://nostr.download/e08b4f82f13ea5223990657286cf17281cddb37abd7b80e599257484064b0e31.torrent UD-Q2_K_XL https://nostr.download/e74a280d6d5426aeed13dc5735bdf2bd05dfeedcb9a32f2eb6a81c48a1092889.torrent UD-Q3_K_XL https://nostr.download/247ade66dbeec12f05cb73ae4bba0eb91b29443268eb7947bbb1e83285a6f1a7.torrent UD-Q4_K_XL https://nostr.download/f892c74d127fc05f7304b391bf2bc74b2bf0d03e7fd9abfd6b82619bd6432990.torrent Q8_0 https://nostr.download/cc31c265e3811986cefb3f118bd387e074a863ca608764c7fecc8e5c314ea125.torrent if there are no seeders it will use HF web servers in the beginning.
Awesome. Partly encouraged by listening to you and Justin talking about the power of local AI for freedom tech, I started on my own local setup. Currently running Qwen3.6-27B MTP UD-Q4_K_XL on an RTX via llama.cpp on Linux (Pop OS) and Hermes Agent as my local brain. Eye opening how capable it is . I’ll be setting up a second 3090 as the next step. Onward
Bitcoin4Money's avatar
Bitcoin4Money 2 weeks ago
Amazing, keep up the freedom work! Let AI be open and free
I'm assuming you are aware of this, but an open weight model is not an open source model. I've heard it compared to having somebody hand you a car engine versus having the blueprint to build the car itself. An open-weight model does not provide you the training data that was used to teach the AI, does not provide you checkpoints for the AI during training, and doesn't provide you the code that makes up the model itself. The only model I am aware of that is truly fully open source is OLMO from AI2.
What does mtp ud q4 kxl mean? On which rtx? I ve got running qwen3.6:35b on rtx 3090, and heard, that it could work on as low as 6gb of vram.
What do you see as the top use cases for your agent? Sounds like it helps you with writing, research etc anything else? Why do you think organizations using AI is the next frontier?
Great post! We are actually using Bitcoin as 'Freedom Money' right now on the ground in Myanmar to bypass blocked banks and feed 200 IDP families. Check out our launch profile if you'd like to see real-world Bitcoin adoption! ⚡"