davidsainez

4 ms·

1.
by davidsainez 3mo ago
The Maverick is a different class of vehicle: it has a unibody with no mechanical 4x4.
2.
PyTorch, rewritten from scratch in pure Rust(github.com)
6 points by davidsainez 5mo ago|0 comments
3.
by davidsainez 7mo ago
I put off podman for a while because of claims of compatibility issues, which is unfortunate because I've had an excellent experience since switching over. Can you point as specific issues you've had (not doubting, just curious)?
4.
by davidsainez 10mo ago
Ever heard of Debian or Linux?
5.
by davidsainez 10mo ago
Excited to put this through its paces. It seems most directly comparable to GPT-OSS-20B. Comparing their numbers on the Together API: Trinity Mini is slightly less expensive ($0.045/$0.15 v $0.05/$0.20) and seems to have better la
6.
by davidsainez 10mo ago
Why would that undermine its integrity? AFAICT there are a selection of "open" US-based LLMs to choose from: Google's Gemma, Microsoft's Phi, Meta's LLAMA, and OpenAI's GPT-OSS. With Phi licensed under MIT and
7.
by davidsainez 10mo ago
I find the existence of opennext convincing proof of lock-in: https://blog.logrocket.com/opennext-next-js-portability/ Personally, I don’t bother with nextjs at all.
8.
by davidsainez 10mo ago
But to determine its merit a maintainer must first donate their time and read through the PR. LLMs reduce the effort to create a plausible PR down to virtually zero. Requiring a human to write the code is a good indicator that A. the PR has
9.
by davidsainez 10mo ago
Not wanting to review and maintain code that someone didn't even bother to write themselves is childish?
10.
by davidsainez 10mo ago
> works flawlessly > intermittent outages Those seem like conflicting statements to me. Last outage was only 13 days ago: https://news.ycombinator.com/item?id=45915731 . Also, there have been increasing reports of open
11.
by davidsainez 10mo ago
AFAICT, kimi k2 was the first to apply this technique [1]. I wonder if Anthropic came up with it independently or if they trained a model in 5 months after seeing kimi’s performance. 1: https://www.decodingdiscontinuity.com/
12.
by davidsainez 10mo ago
I never claimed that it was being done in secrecy. Here is another example: https://groq.com/blog/inside-the-lpu-deconstructing-groq-spe... . I have seen multiple people mention openrouter multiple times here on HN: ht
13.
by davidsainez 10mo ago
There are well documented cases of performance degradation: https://www.anthropic.com/engineering/a-postmortem-of-three-... . The real issue is that there is no reliable system currently in place for the end user (other
14.
by davidsainez 11mo ago
Thanks for sharing. I hear people make extraordinary claims about LLMs (not saying that is what you are doing) but it's hard to evaluate exactly what they mean without seeing the results. I've been working on a similar project (a
15.
by davidsainez 11mo ago
Access to virtually infinite cash had more to do with Android's success than the source being proprietary.
16.
by davidsainez 11mo ago
Golang I think (mostly) successfully resisted this temptation
17.
by davidsainez 11mo ago
Doesn’t have to be an in house system, just basic redundancy is fine. eg a simple hook that pushes to both GitHub and gitlab
18.
by davidsainez 11mo ago
Sure, we are still closer to alchemy than materials science, but its still early days. But consider this blogpost that was on the front page today: https://www.levs.fyi/blog/2-years-of-ml-vs-1-month-of-prompt... . The t
19.
by davidsainez 11mo ago
Thanks for sharing! I am working on a rag engine and that document provides great guidance. And, agreed, each individual technique seems marginal but they really add up. What seems to be missing is some automated layer that determines the b
20.
by davidsainez 11mo ago
> We tried multiple vectorization and classification approaches. Our data was heavily imbalanced and skewed towards negative cases. We found that TF-IDF with 1-gram features paired with XGBoost consistently emerged as the winner.
21.
by davidsainez 11mo ago
web version sonnet is down for me as well. https://status.claude.com/
22.
by davidsainez 11mo ago
I highly recommend How to Design Programs. I recall being repeatedly mind blown working through the book. It was great fun. The authors start by composing pure functions. IIRC you get quite far before you have to do any mutation. Take a loo
23.
by davidsainez 11mo ago
It is difficult to understand the full beauty (or horror, depending on your pov) of functional programming with such a simple example. But as you scale up in complexity, it can be someone’s full time job to make sure the model is accurately
24.
by davidsainez 11mo ago
Saw this post. clicked on pricing. "Run up to 20,000 requests for free", ok lets try it. sign up for an account. click on playground. try a query -> balance is insufficient. then I clicked on "pricing" tab inside of t
25.
by davidsainez 11mo ago
I have been very impressed with the Qwen3 series. I'm still evaluating them, and I generally take LLM benchmarks with a huge grain of salt, but their MoE models in particular seem to offer a lot of bang for the compute. But what makes
26.
by davidsainez 11mo ago
This is the way. I managed to run (super) tiny models on CPU only with this approach.
27.
by davidsainez 1y ago
IMO this seems like exactly the use cases where AI fails consistently: engaging storytelling and finding the simplest solution to a problem. For example, LLMs are really good at generating walls of code that will run but don't really h
28.
Avoid Inline Scroll Areas(baymard.com)
1 points by davidsainez 1y ago|0 comments
29.
by davidsainez 1y ago
I use LLMs for coding every day. There have been significant improvements over the years but mostly across a single dimension: mapping human language to code. This capability is robust, but you still have to know how to manage context to ke
30.
by davidsainez 1y ago
Direct link to her profile: https://bsky.app/profile/marisakabas.bsky.social

More ›