Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
icyfox
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
6 ms
·
31.
▲
by
icyfox
1y ago
All of the products you mention already had research teams (in the case of ChatGPT and Claude that actually predated most of their engineers). So knowing how to build small language models was always in their wheel house. Scaling up to larg
32.
▲
Nyx – An Experiment in Artificial Survival
(nyx.run)
3 points
by
icyfox
1y ago
|
0 comments
33.
▲
by
icyfox
1y ago
The folks at deno have really done a fantastic job at pushing a JS runtime forward in a way that's more easily plug and play for the community. I've used `denoland/deno_core` and `denoland/rusty_v8` quite a bit in embedd
34.
▲
by
icyfox
1y ago
From the jump, even without the emdashes, it was crystal clear that this post was written by Claude. I'm sure the OP put their own ideas into the prompt, provided some sources, etc. But reading some of these phrases provoked a pretty v
35.
▲
by
icyfox
1y ago
I'm responding to the parent comment who's suggesting we version control the "model" in Docker. There are infra reasons why companies don't do that. Numerical instability is one class of inference issues, but there
36.
▲
by
icyfox
1y ago
I guarantee you the weights are already versioned like you're describing. Each training run results in a static bundle of outputs and these are very much pinned (OpenAI has confirmed multiple times that they don't change the model
37.
▲
by
icyfox
1y ago
Good for Namecheap. They're still my default when I'm searching for new domains, even though I end up registering somewhere else (their bulk search is still best in class imo). I'm a bit surprised at their revenue numbers con
38.
▲
Show HN: Determystic, get agents to follow your coding conventions
(github.com)
1 points
by
icyfox
1y ago
|
0 comments
39.
▲
Building a (kind of) invisible Mac app
(pierce.dev)
1 points
by
icyfox
1y ago
|
0 comments
40.
▲
Making an ASCII Animation
(pierce.dev)
6 points
by
icyfox
1y ago
|
0 comments
41.
▲
by
icyfox
1y ago
Some text diffusion models use continuous latent space but they historically haven't done that well. Most the ones we're seeing now typically are trained to predict actual token output that's fed forward into the next time se
42.
▲
Under the Hood of Claude Code
(pierce.dev)
2 points
by
icyfox
1y ago
|
0 comments
43.
▲
Speeding up sideeffects with JIT in mountaineer
(pierce.dev)
2 points
by
icyfox
1y ago
|
0 comments
44.
▲
How Text Diffusion Works
(pierce.dev)
5 points
by
icyfox
1y ago
|
0 comments
45.
▲
by
icyfox
2y ago
Definitely some similarities! SQLModel is also based on Pydantic, so the schema definitions that you'll write will look very similar to Iceaxe. Internally however SQLModel is implemented as a wrapper over SQLAlchemy. This is beneficial
46.
▲
Show HN: Iceaxe – A modern, fast ORM for Python and Postgres
(github.com)
2 points
by
icyfox
2y ago
|
2 comments
47.
▲
Generating database migrations with acyclic graphs
(freeman.vc)
2 points
by
icyfox
2y ago
|
0 comments
48.
▲
by
icyfox
3y ago
I imagine a lot of this comes down to personal preference. In the early days of Mountaineer [^1] (gee, almost two months ago at this point), I played around with the idea of embedding html into python instead of needing a JS layer. Eventual
49.
▲
by
icyfox
3y ago
To be clear, I'm not saying we can't have this skilled workforce. Merely that we don't have it today. So the pipeline to employ Americans for these jobs is going to require increasing the funnel of people who learn the skills
50.
▲
by
icyfox
3y ago
The text of the bill [^1] disagrees with this: > In awarding financial assistance for planning or establishing a Manufacturing USA Institute, an agency shall give special consideration to such institutes that > contribute to the geogr
51.
▲
by
icyfox
3y ago
Right now one of the biggest blockers in on-shoring semiconductor fab at any kind of reasonable price-point and timescale is the lack of a skilled workforce. This legislation has dual objectives: train new people to get into sophisticated m
52.
▲
by
icyfox
3y ago
Big proponent of guaranteed outputs for LLMs. I wrote a library awhile back (gpt-json) that did something similar by querying the OpenAI API. At the end of the day though while their responses are _highly likely_ to be valid JSON they'
53.
▲
by
icyfox
3y ago
When I took the GRE in 2017, everything was digital as well. But I couldn't believe how locked down the experience was. The testing center in downtown SF had no windows, a metal detector, and you had to check all food outside of the te
54.
▲
by
icyfox
3y ago
Authentication and authorization is pretty easy to implement with custom Dependencies. Multitenancy can be a layer on top of that depending on how you want to shard your DB tables / separate rows. If you're interested in poking ar
55.
▲
by
icyfox
3y ago
Thanks for the note! SecretStr is a good call as well. I'll switch to using that for the database layer. Also removed DS_Store in the latest PR (really thought I had ignored globally but they snuck in anyway).
56.
▲
by
icyfox
3y ago
Thanks for the kind words, yoz. I think it's easier to write documentation when you're actively using + codeveloping solutions using the library as well. The README guides are as much for my future self as they are for anyone else
57.
▲
by
icyfox
3y ago
Yes it does! SSR support out of the box (powered by V8). This was one element of the Rust layer that was really important to pin down early and start benchmarking for performance. It ended up in a pretty nice place for the time-being: excep
58.
▲
by
icyfox
3y ago
Hey buremba, can you share more about the use-case that you're thinking about? Like JS function calling within Python?
59.
▲
by
icyfox
3y ago
Hey giancarlostoro, big fan of OOP as well. I structured Controllers to just be regular classes - so you should be able to write server code and routes very similar to CherryPy.
60.
▲
Show HN: Mountaineer – Webapps in Python and React
(github.com)
145 points
by
icyfox
3y ago
|
57 comments
More ›