Email: eduardo <at> alisio-computing <dot> eu
LinkedIn: https://www.linkedin.com/in/eduardo-pena-vina-6a684966/
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- ghgr parentCheckout https://bpatrik.github.io/pigallery2/. I've been using it for years and it checks all the boxes you're looking for
- Serious question: can you point out some serious complaints? They seem to have an exhaustive justification for their reasons to only support Pixels, see https://grapheneos.org/faq#future-devices
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- Main work: tokenization of real-world assets, but on the side I’m building two projects as a solo dev:
Looking for like-minded people interested in exploring both the technical and business sides of these systems.- XRoll.io — a fully on-chain gaming framework on the XRP Ledger, inspired by SatoshiDice but built for compliance. Commit-reveal fairness (HMAC_SHA256(secret, bet_txn_hash)), full transparency on-chain. Integrated KYC, AML, self-limits at the protocol level. Frontend is optional; ledger is the source of truth. - Nexula — an evolutionary image generation system. Embeddings extracted with CLIP, clustered via HDBSCAN, visualized with UMAP. User behavior (time spent) drives fitness scores; top samples recombine through weighted interpolation to generate new images. Built on Django backend, session-based personalization without login. - 2 points
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- I can also recommend Trilium Notes [1], which I have been happily using for years. It's currently in "maintenance mode", which I personally see as a feature (no risk of bloatware).
Self-hosted, great webapp, optional native clients and works offline.
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- If you're using print debugging in python try this instead:
> import IPython; IPython.embed()
That'll drop you into an interactive shell in whatever context you place the line (e.g. a nested loop inside a `with` inside a class inside a function etc).
You can print the value, change it, run whatever functions are visible there... And once you're done, the code will keep running with your changes (unless you `sys.exit()` manually)
- If you are struggling to understand the README, I highly recommend the book Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath. Although the examples are in R, the same concepts apply to Pyro (and NumPyro)
[1] https://www.goodreads.com/book/show/26619686-statistical-ret...
- I think you might be referring to this comment: https://www.hackerneue.com/item?id=41952570
- As an alternative to (npm -g)'ing here some potentially useful coreutils one-liners I've been using for a similar purpose:
- Dump all .py files into out.txt (for copy/paste into a LLM)
> find . -name "*.py" -exec cat {} + > out.txt
- Sort all .py files by number of lines
> find . -name '*.py' -exec wc -l {} + | sort -n
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- Ha! In case you're one of today's lucky 10,000 https://en.m.wikipedia.org/wiki/John_Draper
- Reminds me of Scatron (sold in Spain in the 90s)
https://jvgavila-com.translate.goog/aypetronic.htm?_x_tr_sl=...
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- I've been using QubesOS for years, and I highly recommend it. Not only for security (which of course), but also for the cleanliness of not polluting your computer with a myriad of dependencies for projects you just tried once.
And of course, the high-risk activities that we all have to do at some point (now at least their risk is limited to their virtual machine) :
- curl|bash or similar - pip install, npm install etc - run any random github project - sudo install the drivers of my Brother printer - install zoom - plug random cheap USB devices to eg update their firmware - In case someone needs more context (like I did):
Ash Framework is a declarative, resource-oriented application development framework for Elixir. A resource can model anything, like a database table, an external API, or even custom code. Ash provides a rich, and extensive set of tools for interacting with and building on top of these resources. By modeling your application as a set of resources, other tools know exactly how to use them, allowing extensions like AshGraphql and AshJsonApi to provide top tier APIs with minimal configuration. With filtering/sorting/pagination/calculations/aggregations, pub/sub, policy authorization, rich introspection, and much more built-in, and a comprehensive suite of tools to allow you to build your own extensions, the possibilities are endless.
For those familiar with Phoenix, you can think of Ash as a declarative application modeling layer designed to replace your Phoenix contexts.
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