kianN

10 ms·

91.
by kianN 1y ago
I put together a brief report organizing all the comments in this post. Sharing in case it is helpful to anyone else. https://platform.sturdystatistics.com/dash/report/21584058-b...
92.
by kianN 1y ago
Splitting up activity to bite sized chunks was critical for me as well. It prevents over straining but I think more importantly it also prevents you from being stagnant for an extended period of time.
93.
by kianN 1y ago
“As pain becomes chronic, it is increasingly associated with activity in the affective and motivational systems tied to avoidance and less closely tied to systems encoding nociceptive input” [1] I’ve been on the slippery slope of chronic pa
94.
by kianN 1y ago
Linking to a nearby thread in case this is helpful: https://news.ycombinator.com/item?id=44457928
95.
by kianN 1y ago
I built a public literature review search tool for some graduate student friends that became pretty popular in the Santa Barbara area. It actually does exactly what you are describing. It’s not neural network based: it leverages hierarchica
96.
by kianN 1y ago
Author here. A local sandwich week inspired me to get a blog up and running. I was enjoying the process of writing and put together a data driven analysis of the hacker news' discussion on Gemini's CLI release. I hope it is intere
97.
Gemini CLI's Polarizing Release on Hacker News – A Visual Analysis(kian.prose.sh)
2 points by kianN 1y ago|1 comments
98.
by kianN 1y ago
Unrelated: I initially expected this articles to be referring to public libraries. I think that would be a challenging connection to prove despite it making intuitive sense. On the article: some use cases eg handling dates, fault tolerant q
99.
by kianN 1y ago
> Follow-up analysis of the first experimental results revealed a marked positional bias with LLMs tending to prefer the candidate appearing first in the prompt: 63.5% selection of first candidate vs 36.5% selections of second candidate
100.
by kianN 1y ago
This really hits the nail on the head. I think the extension to this is the all eggs in one (the first) basket approach being exacerbated: it’s always been challenging to conduct foundational research in a field where there already exists a
101.
by kianN 1y ago
I think using a pyarrow dataset as an intermediary would allow for a zero copy read/write from one connection into a second connection.
102.
by kianN 1y ago
As someone who didn’t play many video games but grew up somewhat adjacent to them, I’m just amazed at how much more relaxed I am having gone through that article (experience?) compared to before.
103.
by kianN 2y ago
Congratulations on the v1 launch! I’ve been tinkering with hatchet for almost a year, deployed it in production about 6 months ago. The open source support and QuickStart are excellent. The engineering work put into the system is very notic
104.
by kianN 2y ago
My favorite part of this library is that it seems to have zero dependencies! Python packages seem to often rope in a surprising number of dependencies for relatively limited libraries. I can easily imagine pulling this package into my work:
105.
by kianN 2y ago
Haha I definitely greatly benefit from autotools infrastructure to such a degree that I took it for granted in my above comment.
106.
by kianN 2y ago
I only use clang with a Makefile and I’ve done some relatively complex projects albeit with only a few collaborators.
107.
by kianN 2y ago
I’ve never been on a system that doesn’t have either gcc or clang built in. But disclaimer that my experience in C is limited to a specific subset of scientific computing, so my experience is definitely limited
108.
by kianN 2y ago
One of the most commonly cited drawbacks about C (limited standard library and package management) is something I’ve grown to enjoy when working in a well-loved C codebase. Instead of learning and working with bloated tool chains, every t
109.
by kianN 2y ago
The lack of a single direction is a really good point. In my mind I was thinking more from the perspective of tempering evocative headlines. But my rule also lacks quite a bit of nuance
110.
by kianN 2y ago
Reasonable perspective. I went back through the article and the content is more balanced than I initially would have guessed from the initial visualizations. However, the much more assertive initial visualizations and the opening caption— “
111.
by kianN 2y ago
A good heuristic test of correlation vs causation in headlines: flip the dependent and independent variable and see which explanation sounds more reasonable. Heavy llm chat usage leads to loneliness | or | Loneliness leads to heavy chat usa
112.
by kianN 2y ago
I think it’s less about putting pressure on a prospect as it is making the follow up meeting as easy as possible to schedule. To many people, me included, it does come off a bit abrasive, but it does reduce the number of decision to make in
113.
by kianN 2y ago
I really appreciate the author posting their experience. Just to add a little bit of my own experience. I had debilitating nerve pain as a result of surgery complications to the point where I could walk for a bit over a year. It’s easy to f
114.
by kianN 2y ago
I don’t know if this counts as tiny but I use llama 3B in prod for summarization (kinda). Its effective context window is pretty small but I have a much more robust statistical model that handles thematic extraction. The llm is essentially
115.
by kianN 2y ago
^ This perfectly encapsulates the story I see every time someone digs into the details of any llm generated or assisted content that has any level of complexity. Great on the surface but lacks any depth, cohesive, or substance
116.
by kianN 2y ago
Yeah that’s exactly how I think of llms in my head: lossy compression that interpolates in order to fill in gaps. Hallucination is simply interpolation error. Which is guaranteed in lossy compression.
117.
by kianN 2y ago
For those wondering how it works: > The language model predicts the probabilities of the next token. An arithmetic coder then encodes the next token according to the probabilities. [1] It’s also mentioned that the model is configured to
118.
by kianN 2y ago
I love the idea of the semantic web at a high level. Forgetting the technical challenges, I just struggle to picture what it would look like in practice. Let’s say I follow a few pharma news sites and the nba. What would the idealized seman
119.
by kianN 2y ago
There is an open source Delta that is a very good library. This is not the same as Databricks' implementation and there are at times compatability issues. For example, by default if you write a delta table using Databricks' dbr ru
120.
by kianN 2y ago
I can offer my experience with respect to your two questions, though my use case is likely atypical. 1) I haven't personally run into upper size limits to the point of non linear performance degradation. However, some caveats to that a

More ›