I have been working on an agentic harness, engine, and more. I would like to start releasing the more impactful pieces out to the public, in order to get testing and a bit of traction. Here is one of those pieces, and I name it ‘crucible’ crucible turns a thesis into a set of claims, each paired with the observation that would refute it. Independent adversaries steelman every claim by proposing the strongest test, the engine measures each one against a substrate oracle, and the weakest axis gets refined across rounds: strengthen the substrate, sharpen the measurement, or amend the thesis. The result is a verdict per claim, MATCH, DRIFT, or UNVERIFIABLE, grounded in the measurement rather than a judge’s opinion. Every run writes a record you can re-check. https://github.com/HarperZ9/crucible If you would like, perhaps you could make some use of my tooling as well. It covers a lot on measured perception, and information/data transformation. But I think it has some applications you might be able to piece apart, based on what domains you work in. From there you can take off and browse the entire profile freely, as there is a lot to chew on. I am really trying to dial it in, because if this gets a little bit of institutional funding and traction this engine can do a metric fuckton as a closed loop system. So far, the receipt based workflow is successfully bringing enterprise quality compute and reasoning into typically very simple models, allowing them to punch far above their weight-class, and even be trusted to run end to end in agentic workflows. I am running a 14B on materials I would not even trust to an enterprise model, without the right harness. I am actively seeking endorsers for my two arXiv papers now, so that I can begin to get some form of academic peer review, as my background is far disconnected from any industry/academic domains, and I have been doing almost all of this work individually, from home. I see the market/economy making a very sharp pivot to try and close the door on individuals having access to real capable tools, and instead feed them to their corporate peers, and beer/golf buddies. I directly aim to stab that in the heart, and watch it bleed. I am really trying to keep that door wedged open with my foot, while preserving enough time for the tooling to get into peoples hands. It feels like a race against the clock. I aim to bring world class capability to tools people can use at home, affordably. Using materials they already own, and do not need to pay a subscription to use. I am tired of seeing people having to suck sustenance from this little pipe, while trying to survive. I am not really selling anything per sé - just working on a bunch of tools in the open, and publishing research. I am building a (what I like to call) flywheel engine that is (in local model training/benchmarks) able to pack a shitload of utility into really small local models. It even improves datasets organically through filtering drift/decay with a receipt based architecture. The efficiency/receipt approach is approaching direct parity with raw compute on large models. https://harperz9.github.io/
https://github.com/HarperZ9 I really aim to take pair programming, agentic harnesses, and local model capability to the maximum, while also introducing the infrastructure and standardization to allow LLM’s and AI to be applied, and used in domains in which it never, ever could previously. I also ensured to build a learning engine, that reinforces having a strong personal involvement in this process as well. Basically encouraging me to try and keep up, while the project grows much faster than I can keep up with. I am basically a second generation student, watching every model that runs through the tools blaze through it. It turns every interaction with a model into a collaboration. And the engine underneath, has capability of feeding live, measured data to the model, and even gives models without vision, a sense of both range and state - for the given moment that the measurement is fed to the model. I guess my biggest issue is trying to keep up, and adequately measure and show others what the potential of the research is uncovering. I am not a very good showman, and I certainly am not the best people person - so I kind of am just taking my best shot and hoping it hits net. submitted by /u/MeAndClaudeMakeHeat
Originally posted by u/MeAndClaudeMakeHeat on r/ArtificialInteligence