kianN

7 ms·

31.
Macro Photography Highlights: The Best of 2025(nickybay.com)
2 points by kianN 10mo ago|0 comments
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by kianN 10mo ago
I do the exact same thing and this was my first thought. To be fair, I would probably not be able to format tables in a single cope/paste
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by kianN 10mo ago
An aside that I do want to mention here because it is a really unique way for many people to interface with LLMs: many commenters mention the model over indexing on a few comments they made that do not necessarily reflect of the broader the
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Astrophotography Target Planner: Discover Hidden Nebulas(astroimagery.com)
62 points by kianN 10mo ago|5 comments
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In Praise of HTML and CSS(blog.sturdystatistics.com)
6 points by kianN 10mo ago|0 comments
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by kianN 10mo ago
> How does our imagination shrink when we consider our options of what we create with code to be choosing between the outputs of the LLM rather than starting from the blank slate of our imagination? This has been my biggest hesitancy wit
37.
by kianN 10mo ago
This resonated a lot with me. Thank you for your articulate writing.
38.
Viral Show HN Posts(blog.sturdystatistics.com)
1 points by kianN 11mo ago|0 comments
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by kianN 11mo ago
This approach has really helped me out in my work. I do something very similar using DuckDB to slurp output files anytime I write a custom hierarchical model. The single sql queryable file simplified my storage and analytics pipeline. I ima
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by kianN 11mo ago
We are in the separate ACL/encryption key bucket. We provide a Bayesian data analytics platform/api for other companies. Each company can have hundreds to thousands of datasets ("indices") each of which has a separate en
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by kianN 11mo ago
I'm more amazed that they released this as part of their open-source offering (not clear from my above comment). Encryption is a standard lever for open-source projects to monetize. I run a small company and needed to budget solid amou
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by kianN 11mo ago
I’m just continually amazed by the DuckDB team. We had built out a naive solution with OpenSSL to encrypt duckdb files, but that lead to a 2x runtime cost for first time queries and used up a lot of ram because we were encrypting/decry
43.
Scientists pull ancient RNA from a wooly mammoth's body(text.npr.org)
4 points by kianN 11mo ago|1 comments
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The Quiet Power of SQL(blog.sturdystatistics.com)
13 points by kianN 11mo ago|2 comments
45.
by kianN 11mo ago
https://archive.ph/7Y5wV
46.
The Power Problem(syntheticauth.ai)
3 points by kianN 11mo ago|0 comments
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by kianN 11mo ago
I agree with this. I have no problem with a technical discussion comparing the features and discussing Jupyter’s shortcomings. But the Jupyter job postings and contribution graph screenshots felt both ill-spirited and not particularly relev
48.
Latter-day Saints are having fewer children. Church officials are taking note(text.npr.org)
7 points by kianN 1y ago|12 comments
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by kianN 1y ago
Awesome thank you for the info!
50.
by kianN 1y ago
Haven’t dug the repo too much yet but looks like a super cool project. I’ have a few questions: 1. To what does 71% accuracy refers? I assume picking which team will win in any given matchup? 2. How does 70% compare to say, picking the team
51.
Why car insurance costs have soared (and what drivers are doing about it)(text.npr.org)
2 points by kianN 1y ago|0 comments
52.
by kianN 1y ago
I think there is so much value and room to grow by leveraging a statistical foundation. We’re still iterating really quickly on the low level C code on a variety of applications (pharma, scRNA, text) so it might be a while before we release
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by kianN 1y ago
Would love to chat. My email is in my profile if you want to drop me a line.
54.
by kianN 1y ago
We built our own collapsed Gibbs sampler in C: PyMC/Stan are use HMC which scales only to a few hundred parameters and we are modeling millions. Above C we built a python wrapper to help construct arbitrary Dirichlet and Pitman-Yor Pro
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by kianN 1y ago
We do! We have a (very) high level overview focused on applying this model to language on our blog: https://blog.sturdystatistics.com/posts/technology/ . We have some more technical write-ups on the internals of th
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by kianN 1y ago
That's actually an application we've had a lot of success in. This framework allows you to really easily traverse the graph at a thematic level (with sql filtering if needed), then for any high level theme, you can pull up granula
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by kianN 1y ago
So this may have been something worth mentioning above, but the hacker news search is exact match.
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by kianN 1y ago
Quick update: I ran into a rate limit issue for one of my data sources. Apologies to anyone who has hit errors in the past 15 minutes. I think the issue should be resolved.
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by kianN 1y ago
I see that the model has not yet finished training: I think you are referring to the "Raw Search Results Section". Our tool works a little different than LLM style tools. We are doing a bulk search — for academic search, ~1000 pap
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by kianN 1y ago
Awesome so glad the result were helpful! What's cool is because it's built on hierarchical Bayesian sampling, it is extremely robust to any input — it just kinda works.

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