I continue working on Babel Nexus https://babelnexus.com This is going to be a long term project. In addition to hexagonal reading galleries and reading trails, I have added bibliographies for what is in the galleries. I also incorporated as an LLC. I have redesigned things a bit. Replit now has a design tool, and Figma AI now has a free tier for design. I have identified and labeled the four most used categories, First Horror, Ceramics, Wisdom Literature, and Wordless Novels. I also have identified the top books, Charles Fergus Binns — The Potter's Craft (1910). New York: D. Van Nostrand Company.
William Whewell — The Philosophy of the Inductive Sciences (1840). London: John W. Parker.
Shen Kuo — Dream Pool Essays (Mengxi Bitan) (c. 1088). China.
Ernst Mach — The Science of Mechanics (1893 English edition). Chicago: Open Court Publishing Company.
Nehemiah Grew — The Anatomy of Plants (1682). London: W. Rawlins.
H. G. Wells — World Brain (1938). London: Methuen & Co.
Leonhard Euler — Elements of Algebra (1770; 1822 English edition). London: Longman, Hurst, Rees, Orme, and Brown.
al-Khwarizmi — The Compendious Book on Calculation by Completion and Balancing (c. 830; Rosen translation, 1831). London: Oriental Translation Fund.
Slightly related to this project, I started a subreddit called https://www.reddit.com/r/BookApplications/ which is a place to post about book applications. It is somewhat related to my main side project. I could not find a place where they listed a lot of different book applications in one place.
Building ALIS, an open-source Unreal Engine 5 survival project. I’ve generated two large-scale environments based on real cities: Manhattan and Kazan. The world pipeline reconstructs terrain, roads, buildings, water, and vegetation from real geographic data.
https://github.com/fallintodusk/alis
I am curious about what Rust-based extensions I can add next to my custom machine learning programming language.
> https://github.com/sw-ml-study/demo-extensions
shows my first attempt at an extension, desktop graphics. README shows a Conway's Life "Glider" on an interactive view of a 3D torus (and other desktop examples).
The underlying language is implemented in Rust, and supports running in a browser via WASM, but the language itself is an array programming language I created to help me visualize my study of ML. (This is my non-Python response to Jupyter notebooks and Google Colab)
Then I wanted to visualize ML-related Math concepts so I added some demo repos.
And then I added language features to make it a more general purpose application development language, with libraries as a way to share code. So I added I/O, functional programming features, etc. and related demos. Dogfooding!
And more recently the dynamic Rust extension mechanism to add things that cannot be written easily in the array language itself (or for features that would clutter the language).
Maybe I can add a networking extension or an infinite precision math library.
So my curiosity is around what belongs in the base language and what belongs in optional dynamic extensions.
I've been slowly working on https://github.com/CanineHQ/canine for about 2 years now. Basically a self hosted, FOSS that turns a Kubernetes cluster into something as easy to use as Heroku.
It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.
Most my fun has been on the non-tech side. To get a break from the computer last year, I ran the length of Japan (around 3,447 km). And now I've been helping my partner edit the videos and stick them on YouTube:
On the tech side: I've spent the past few months working on little projects mostly coded via LLMs. Used it to build my own little AI agent in python attempting to keep it stdlib-only, and a little blog engine with MFA. Things I would never have previously been able to do as a sysadmin/infrastructure but not developer. It's been an interesting learning experience, but have spent months not getting anything to a fit state to share with the world.
Standard G-code is brittle and lacks basic programming ergonomics. I built Bellerophon, a DSL with a decoupled firmware adapter architecture, so the .bph source stays universal while the compiler handles targeted translation to Klipper, Marlin, or RepRap.
Lately I used it to generate print patterns with math that you wouldn't get from a slicer, which was fun. Right now my biggest hurdle is the compiler choking on large compiled outputs. School's taken most of my time, but I'm moving the application off browser localStorage onto a proper JSON persistence layer this month. I do hope to add more features in the future.
I've been interested in seamless LLM routing for faster and more stable inference. I just launched https://www.tesseract.click with that goal. It's a simple lightweight SaaS to help manage your third-party LLM providers and balance speed, stability, and cost.
I've been working on an agent control plane, project management, and version control all in one. I have been building on top of OpenAI's Symphony for a while now, and it finally came to a head where it was becoming too difficult to manage. So, I'm now working on this - hoping to solve agent logistics and ambiguous ownership (read: agents taking over the docs and making everything fuzzy).
I'd love to know if anyone else is working on this and what they've found so far
MacroCodex collects user data, and because it is unclear whether you sell that data or not, the app is not technically 100% free. Frankly, it just looks like a low-effort, "vibe-coded" application. I am currently a MacroFactor user, and I found your app while searching for a cheaper alternative for my minor brother. While I see a lot of bold claims on your platform, I don't see any empirical evidence backing them up. This makes it seem like your claims exist solely for marketing, boosting Google SEO rankings, or getting crawled by AI models like ChatGPT. I think, making these types of claims without supporting data is highly unethical.
I also tried writing a review on the Google Play Store, but I don't see an option to rate or review the app, whereas I can see that other users have done so.
Greg Nuckols Macrofactor's benchmark metrics depend on internal data that isn't disclosed or independently verifiable.
So the published accuracy claims don't tell us much. It's like a student saying, “I scored 99% on a test,” but not showing anyone the test questions or their answers. You have no way to independently verify whether the score actually reflects how well they perform.
The number might be completely accurate, but without seeing the benchmark dataset, there's no way for anyone outside the company to reproduce or properly evaluate the claim.
>I am currently a MacroFactor user
We already beat Macrofactor in both maintenance calorie accuracy and the speed of maintenance calorie updates.
Macrofactor costs $72 a year while Macrocodex is free.
Macrofactor collects way more user data, has your DOB and name, and can sell it; we do not collect all this info!
>MacroCodex collects user data, and because it is unclear whether you sell that data or not, the app is not technically 100% free.
Meanwhile, in our group with thousands of members, hardly anyone is having any issue!
>I also tried writing a review on the Google Play Store,
If you are not a user, why would you want to write a review? Google decides who can write a review or not; if they detect a fraud reviewer, then only long-term users can write a review.
MacroFactor charges $72 a year and spends a lot of money paying influencers to promote the app, so it’s not surprising that you see so many submarine posts about it.
Working on Chatter https://github.com/Sphyrna-029/Chatter. A self hosted Discord alternative for small to medium sized communities. Live chat, voice, screen share, video call, customizable profiles, and comprehensive admin panel. Too many other features to list here. Check it out!
A forum for All About Berlin, so that immigrants can help each other. I got a few immigration experts on board and they will also help. I'm writing it myself to work on low-end hardware and survive on a bot-infested web.
In short, important discussions need to happen where other people can find them. Until now that was reddit but that website is a cesspit and it's probably going to keep enshittifying.
I research deanonymization techniques and, in the broad sense "disinformation" -- but more in the sense how do I plant the seed of an idea and let it grow rather than the crass and short term operations folks like "The Russians" do.
So uh... basically looking into ways to de-anonymize Tor users and shitposting?
Honestly, it's hard to summon they joy I used to have for anything tech related when I look out at the news.
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