kianN

4 ms·

1.
by kianN 7d ago
The data labeling objection baffles me. Even if you don’t need labels for training, how do you know your model is working if you’re not evaluating it? My company specializes in statistical long document text classification, but nowadays we
2.
Logs as Tables(blog.sturdystatistics.com)
3 points by kianN 1mo ago|0 comments
3.
by kianN 2mo ago
It really is - we use duckdb as our main workhorse in our entire stack. As a side note, thank you for all the work you have done in the Clojure ecosystem! Techascent’s data science packages was a major tipping point in my company’s decision
4.
by kianN 2mo ago
I’m a big fan of tmducken. We use it heavily in our prod systems. That said, we’ve recently started exploring ducktape [1] in our new projects and have been really impressed with the performance. It also support more complex types on insert
5.
by kianN 2mo ago
Happy to chat more in depth if more details would be helpful. I think my contact info is accessible from my HN profile.
6.
by kianN 2mo ago
To clarify, I wasn't criticizing your approach or product, more responding to the people dismissing the problem you are solving. Regarding my experience, I have done a fair amount of work in the contact center space with long calls. I
7.
by kianN 2mo ago
I see a fair number of comments here advocating for either codex to hand-roll this themselves, or to simply punt to SQL. I do want to advocate for the difficulty of the problem, even if I can't speak to the company itself. At the scale
8.
Why We Don't Trust the Database with Authentication(blog.sturdystatistics.com)
37 points by kianN 3mo ago|23 comments
9.
Two Kinds of Programs: Closed Worlds and Open Worlds(blog.sturdystatistics.com)
3 points by kianN 4mo ago|0 comments
10.
by kianN 5mo ago
The author really extracted the core tenants of exactly how my former research mentor and I ended up building our business. We started with the second two points: our core technology was a sampler that enables arbitrary hierarchical Bayesia
11.
Why Congress may spend $1B on Great Salt Lake(npr.org)
4 points by kianN 5mo ago|1 comments
12.
Why scientists are nervous about fungi(npr.org)
6 points by kianN 5mo ago|1 comments
13.
by kianN 7mo ago
Roughtime is a really cool protocol we came across when we were hardening a license server. It provides a distributed mechanism for cryptographically verifiable time via chained requests. It’s not as precise as NTP (hence rough) but in prac
14.
The 185-Microsecond Type Hint(blog.sturdystatistics.com)
75 points by kianN 7mo ago|14 comments
15.
by kianN 7mo ago
Haha that’s true, but the timezone is left as an exercise for the reader for now
16.
by kianN 7mo ago
We are going to publish that publicly next time we have a free day, though its publication will likely render the analysis redundant :)
17.
by kianN 7mo ago
Yeah Show HN has a pretty interesting distribution compared to standard posts due to the long-term visibility on the Show page. The odds of a Show HN post breaking 10 points is significantly higher than an average post, but of the posts tha
18.
by kianN 7mo ago
The code provided is to reproduce the analytical results from the annotated data; my impression is that you're more interested in the details of the annotation process than running into an issue with that code? My company's core t
19.
by kianN 7mo ago
I totally agree that the metric is imperfect for a long term analysis. I was initially leaning toward a quantile based approach to really focus in on topic trends over time, but when I was initially exploring the data, the relative challeng
20.
by kianN 7mo ago
Thank you! I currently don’t have much insight to this current trend. At the time of this analysis I hadn’t even heard of Clawd but that would definitely be worth my revisiting. I was planning on doing this yearly but the Clawd excitement i
21.
State of Show HN: 2025(blog.sturdystatistics.com)
134 points by kianN 7mo ago|34 comments
22.
by kianN 8mo ago
> Code gets simpler because it has to, and architecture becomes explicit. > The real goal isn’t to write C once for a one-off project. It’s to write it for decades. To build up a personal ecosystem of practices, libraries, conventions
23.
by kianN 8mo ago
I just sent an email. Thank you for the push!
24.
by kianN 8mo ago
I did not conduct a deep dive into the specific examples: this was my takeaway from a slope plot comparing which topics clear a 10 point threshold (eg escape the new page) vs which topics clear a 100 point threshold. > Nearly every AI re
25.
by kianN 8mo ago
I actually conducted a similar analysis back in December. I was more focused on discovering the topics that most resonated with the community but ended up digging into this phenomenon as well (specifically focusing on the probability of get
26.
Systemd and AI(devpoga.org)
1 points by kianN 8mo ago|0 comments
27.
I'm not a good enough engineer to code with LLMs(kian.wtf)
4 points by kianN 8mo ago|1 comments
28.
by kianN 8mo ago
When I was in high school, I got hit head on by a car while walking. It wasn’t going fast but I got thrown 1-2 feet in the air and landed hard on my backpack. Both my Thinkpad and I (thanks to my Thinkpad) were totally fine, and I continued
29.
Young men want to get big. For some, it's becoming an obsession(npr.org)
5 points by kianN 8mo ago|3 comments
30.
by kianN 9mo ago
I don’t love these “X is Bayesian” analogies because they tend to ignore the most critical part of Bayesian modeling: sampling with detailed with detailed balance. This article goes into the implicit prior/posterior updating during LLM

More ›