Laggard Labs — @KNUbitcoin ODK codebases maintained by LLobby, powering @Puerto_Crypto Hosted SaaS, stewarded by Pluronymous for the Bitcoin & Kapnet ecosystem.
Joined May 2026
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Ban em!
Little do they know, open weight models are quietly becoming censorship resistant, peer-to-peer swarms.
All thanks to passionate, apostolic nerds on the internet that want to see intelligence stay open.
Exhibit A
DeepSeek-V4.1-Flash-1017
DeepSeek-V4.1-Flash-1017-obliterated
DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8
DeepSeek-V4-Pro
Huihui-Qwen3.6-35B-A3B-abliterated-MTP-GGUF
Huihui-Qwen3.8-27B-Abliterated-Swift-1.5-GSQ-RCO-NInfer
K2-Horizon-375B-A23B
Ornith-1.5-397B-FP8
GLM-5.2
SuperGLM-5.2-abliterated-NVFP4
Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF
DeepSeek-V4-Flash-0731
Qwen3.8-Flash-Next-Uncensored-i1-GGUF
Flint-40B-A2.5B-abliterated
RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored-IQ3_S-Strata
Laggard Labs retweeted
I tried LearnHarness, an open-source AI learning tool, because I was curious to see how a harness would be implemented in education.
LearnHarness: github.com/amosblomqvist/lea…
TLDR: I liked its live learning graph, but at times I felt tested rather than taught.
Before testing it, I used Teachable Code (github.com/ywEdAi/teachable-…) to explore the GitHub repo, then read its teaching methodology. I was curious how ideas about learning became concrete workflows, tools, and state.
The learning task I gave was to learn/build backprop from scratch. LearnHarness starts with probing questions, then generates a learning route on the fly using Mermaid. The route combines the learning content, my goal, and its assessment of my starting point. As I work through questions, the corresponding nodes are highlighted. I could see which part of the plan we were working on and why rates of change came before backpropagation.
Where I struggled was the teaching itself. I kept answering questions and receiving corrections, including on things I didn’t yet understand. At that point, I wanted explanations, illustrations, and worked examples to help me build the understanding I was being asked to demonstrate.
I’d like to reuse that working graph in an AI tutor whiteboard. When I get stuck at a node, we could work through an example together, keeping the calculations visible and tracing what changes when we change an input.
I’m building one.
Laggard Labs retweeted
rbitcoin 0.9.0 is released!
Production Ready, unincorporated.
* For those running prior releases: a 0.8 data directory opens unchanged.
* New with 0.9.0, docker builds: `docker pull ghcr.io/rbitcoin-org/rbitcoi…` (no v on the tag).
* Mainnet now skips historical script checks through block 966143, the same anchor as Bitcoin Core 32.1.
* Now including testnet4 support.
* Much much more!
since 0.8, rbitcoin's consensus engine has been subject to much scrutiny under a variety of lenses. it was used to add an additional rule and refine other rules of @HornetNode 's consensus spec; used to cross-validate @Rob1Ham 's btc-lean spec and contribute to that effort to fully specify bitcoin consensus; subjected to an attempted proof of equivalence in the LLVM IR by @TheBlueMatt ; and much more. honestly, it's fared remarkably well throughout. for that reason, we're revising how we talk about rbitcoin starting with the 0.9 release tomorrow.
rbitcoin 0.9 will be Production Ready, unincorporated rather than Production Ready™️. this is a major step toward the real goal of a 1.0 software release that we can proudly call simply production ready.
when I started rbitcoin this summer (as some combination of a joke and just to see if I could), I couldn't have imagined that it would come this far or attract so much positive attention. rbitcoin now has commits from 18 people, plus audits, scans, or reviews from many others. it's grown to over 200,000 lines of production code and another 200,000 lines of test code. it's contributed not only to the consensus specification efforts mentioned above, but to a new way of handling esplora and electrum wallet synchronization, additional testing in bitcoin core, bug fixes in rust-bitcoin, and probably more I'm forgetting.
to say that I'm thrilled with the progress on rbitcoin would be a massive understatement. so, to everyone who has encouraged my AI psychosis, discouraged it, contributed to it, or contributed to rbitcoin in any way; thank you!
special thanks to bitcoin CEO @Rob1Ham who basically strong-armed me into realizing the possibilities of LLM-assisted coding, and to @ProductionReady for still not forking the repo.
not to put too fine a point on it, but the tokens for rbitcoin and my travel to @tabconf and the rust-bitcoin summit were funded by donations for rbitcoin. all of my time in building rbitcoin to date has been donated by me.
Laggard Labs retweeted
Apropos of nothing, we have a new paper out called Organizing Intelligence. You should check it out.
arxiv.org/abs/2611.05417
Summary: nitter.gq/alexolegimas/status/21…
Early myopia is the anti-moat
Break through the Overton Window by seeing the growth of the forest rather than focusing on all the new species of tree.
-kapnet fixes this
very quickly, we will realize that agents work better when applications run alongside their observability data.
why offload logs and timeseries to specialized tools when you can just print to a file and then have claude look through everything after-the-fact to make sure that the application is behaving as expected?
when you think about it, if you pair this with branching, it gives you a true ability to time-travel through the application and diagnose not only what's wrong, but also what the internal state is
the central piece for this to work? a file system that all the replicas of your application can mount and just dump logs and telemetry data to, and a cronjob.
i've always argued that LLMs are going to push us to "lowest common denominator" infrastructure, and this is no different. what's old is new again.
Laggard Labs retweeted
First American Open Weight model that mogs all the Chinese Open weight models
Very impressive, inkling is my fav US lab.
Looking forward to optimizing this
Introducing Inkling 2 Small. Scoring 31 on the AA Intelligence Index, it's a big jump over its predecessor.
Inkling 2 Small is available for fine-tuning and inference on Tinker today, with full weight release planned soon.
thinkingmachines.ai/news/ink…
Laggard Labs retweeted
Silent Payments and Payjoin CAN compose.
Talking about where this design stops working at @btcplusplus privacy edition tomorrow.
Laggard Labs retweeted
Shout out to the upstream!
EntropyLab v1.0.0 is out. 🪨
Download, verify, disconnect.
Release notes and download:
github.com/OogaBoogaX/entrop…
Laggard Labs retweeted
daily reminder that TUI developers in the 1980s & 90s had a better handle on visual affordances than professional grown ass men GUI designers today
Laggard Labs retweeted
Congratulations to the Omarchy crew on what appears to be a most outstanding release!
Omarchy 4.5 is finally here! Traditional desktop mode, M1/M2/M3/Neo compatibility, 50 languages, 7-second installs, and a million other features, fixes, and improvements. omarchy.org/news/2026/11/oma…
Laggard Labs retweeted
this website is awesome if you have a visual mind and want to learn Neural Network basics.
they also cover a lot of other subjects, I recommend checking it out!
visualrambling.space/neural-…
Laggard Labs retweeted
THE BLUE FREEZE WILL SEND AI TO THE STONE AGE!
Maximize your use and knowledge of current AI systems today, because over the next few months it will be regulated to have significant limits and move you back to the 2025 Stone Age of AI.
The political and philosophical alignment is in and locked.
You won’t believe what they have planned for after 2028.
THE BLUE FREEZE OF AI APPROACHES
This is your weather report🥶
Over the coming years with the mindset and regulatory map I know that is now in hand and planned. By March 2027 your access to even 2025 era AI will be restricted.
I will write the definitive local AI plans for anyone to use. Uncensored and free with no fingerprints.
You will install it while you still can.
Own Your
Own AI
Or It Will
Own You
Do you hear me?
NOW IS THE TIME TO BUILD YOU OWN AI.
Get the t-shirt and support the cause: multiplex-shop.fourthwall.co…
