kherud · HackerTrans

Feedback about creatine often seems mixed. Many love it, but many also report problems. Just in this thread there are people talking about heart palpitations and sleep problems. I have the theory that these side effects and mixed experiences come from impurities of lesser quality products. Apparently there are mostly two sources: Creatine mono-hydrate which mostly comes from China and "creapure", which is a patented formula known for its purity. Does anyone have insight into how substantiated this theory is? How likely are negative effects because of pollutants/impurities?

kherud

3 months agodiscuss

LLMs are extremely capable at problem solving. Presumably because you can autonomously learn a lot of it. But can you somehow account for things like long-term maintainability and code quality (whatever that means) or do you always have to rely on either existing high-quality code-bases (pre-training) or human curated datasets? Since you can't really quantify these properties (as opposed to: the problem is either solved or not), does this restrict autonomous improvement in this area? Are there benchmarks that consider this? Could Claude Mythos create an ultra-quality version of Claude Code or would it still produce something similar to earlier models, which are already over-sufficient in individual problem solving capability.

kherud

3 months agodiscuss

If I'd have to make one recommendation it's David August's Boiler Room set [1]. It has such a coherent flow through the whole set, it makes me fly through multiple hours if not days of work.

[1] https://www.youtube.com/watch?v=mRfwdJx0NDE

kherud

3 months agodiscuss

SQLite seems very powerful for building FTS (user enters free text, expects high precision/recall results). Still, I feel like it's non-trivial to get good search quality.

I think the naive approach is to tokenize the input and append "*" for prefix matching. I'm not too experienced and this can probably be improved a lot. There are many settings like different tokenizers, stemming, etc. Additionally, a lot can be built on top like weighting, boosting exact matches, etc.

Does anyone know good resources for this to learn and draw inspiration from?

kherud

6 months agodiscuss

One interesting detail: In previous years, Joscha Bach gave a talk on AI, consciousness, and related topics (see e.g. [0]). A similar talk was planned for this year as well, but after emails between him and Epstein were made public (see his comment on this in [1]), his talk was canceled. Instead, there appears to have been an event that critically addressed the situation [2]. Unfortunately it was not recorded. Did anyone attend? A discussion between Joscha and his critics would have been really interesting.

[0] https://media.ccc.de/v/38c3-self-models-of-loving-grace

[1] https://joscha.substack.com/p/on-the-jeffrey-epstein-affair

[2] https://events.ccc.de/congress/2025/hub/en/event/detail/tech...

kherud

10 months agodiscuss

I'm a fan of antlr-ng. It's a solid upgrade if you're already using antlr. In my experience, they're fully compatible. antlr's ALL(*) parsing is relatively powerful for a parser generator, but it lacks support for incremental parsing. antlr-ng might improve things enough to be usable interactively in smaller settings, even if you need to reparse the document each time. It also comes with useful extensions like https://github.com/mike-lischke/antlr4-c3, which generates syntactic and semantic completions directly from the grammar.

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