meander_water

6 ms·

31.
by meander_water 4mo ago
Really curious to understand why I'm being downvoted. I don't think it's a particularly spicy take - Just choose the right tool for the job.
32.
by meander_water 4mo ago
As someone who has built both react based frontends and html based ones (with htmx), there is a law of diminishing returns at play. To start off, writing a basic crud website with forms is much easier with htmx. But when you start building
33.
by meander_water 4mo ago
All the model releases we've seen this year have only made incremental improvements in benchmarks. This feels like the first release that feels like a significant step up in terms of benchmark results. Can anyone make an educated guess
34.
What a Joke: GitHub Copilots Token Based Billing Spurs Consternation(techcrunch.com)
3 points by meander_water 5mo ago|1 comments
35.
by meander_water 5mo ago
Not the first study, and they all largely report the same results: https://www.nature.com/articles/s41562-025-02259-6 https://www.theguardian.com/money/2019/feb/19/four-day-week-...
36.
by meander_water 5mo ago
Lovely sentiment in the article, which was unfortunately AI generated. Can we start tagging titles in HN with [AI-generated] or something? I know some people have no problem with it, but it might help others (like me) to steer clear
37.
by meander_water 5mo ago
Other gems in a similar vein https://github.com/narze/awesome-websites-as-answers
38.
by meander_water 5mo ago
That part of the article almost read like clickbait, because at the end he admits there is an upper bound arg: > uv add pydantic --bounds major So not really sure what he's complaining about
39.
NPM invalidates use of fine-grained tokens that bypass 2FA(docs.npmjs.com)
3 points by meander_water 5mo ago|0 comments
40.
by meander_water 5mo ago
> the model has its own emergent guardrails that sometimes cause it to push back on legitimate security research requests. But as we found, these organic refusals aren’t consistent - the same task, framed differently or presented in a di
41.
by meander_water 5mo ago
I'm so excited for this, nice work! Gemma4 edge models were promised to be great for agentic use, but have been really disappointing in all my tests. They fail at the most basic tool use scenarios. Have you run any tool-use benchmarks
42.
by meander_water 5mo ago
This appears to be part of the same Mini Shai-Hulud campaign affecting Tanstack Router https://www.securityweek.com/tanstack-mistral-ai-uipath-hit-...
43.
by meander_water 5mo ago
Sure, but will they download the right version? And will they be inspecting the right files on disk? There's a whole lot more that can go wrong
44.
by meander_water 5mo ago
One underrated advantage of using Python or Typescript is that AI agents can inspect the code of installed dependencies. This means you don't have to muck around with supplying the right documentation for each version of each dependenc
45.
Supply chain compromise in mistralai Python package(github.com)
6 points by meander_water 5mo ago|3 comments
46.
by meander_water 5mo ago
I don't understand why people were voting this comment down in the issue page
47.
Pitfalls of Try/Finally in Python(pythonkoans.substack.com)
5 points by meander_water 5mo ago|0 comments
48.
by meander_water 5mo ago
> We find that models are not failing due to “death by a thousand cuts” (i.e., many small errors). Instead, they main- tain near-perfect reconstruction in some rounds, and experience critical failures in a few rounds, typically losing 10
49.
by meander_water 5mo ago
Agree. All of the major AI model labs have designed their user interfaces in entirely the wrong way. Prompting via text alone is a really bad way to generate images. Ideally you want Canny Control to draw an outline of the image with elemen
50.
by meander_water 5mo ago
I think one of the reasons for sloppy images is that non-artistic people don't have the vocabulary to describe images to be produced in interesting styles. Yes, you can do image-> text on existing styles, but something always gets l
51.
by meander_water 5mo ago
Agree with JSON. But, surprisingly html and latex perform slightly better than markdown for more complex tables. Check out this paper - https://arxiv.org/abs/2506.13405
52.
by meander_water 6mo ago
Surprised they didn't mention docker compose secrets - https://docs.docker.com/reference/compose-file/secrets/
53.
by meander_water 6mo ago
Isn't this just HATEOAS as espoused by libraries like htmx, datastar, hotwire etc. https://htmx.org/essays/hateoas/
54.
by meander_water 6mo ago
Thanks for the insider info! Do you know if there are any published benchmarks for Nano 3?
55.
by meander_water 6mo ago
This looks like it uses Gemini Nano under the hood. But the latest Gemma4 E2B and E4B models appear to be much better, so you'd probably be better off deploying quantized versions through an extension for now. - Gemini Nano-1: 46% MMLU
56.
by meander_water 6mo ago
I think most labs actively create synthetic data using existing model as part of the mix for the pretraining stage for their next model. Would love to know exactly what the latest process is to keep slop out of training data.
57.
by meander_water 6mo ago
Unfortunately large parts of the paper that he linked to from the Wharton school is entirely AI generated, and yet to be peer reviewed. I realize that most researchers use AI to assist with writing, but when the topic of your paper is &quo
58.
The Mismanaged Geniuses Hypothesis(alexzhang13.github.io)
2 points by meander_water 6mo ago|0 comments
59.
by meander_water 6mo ago
The crazy part is that none of this is unexpected. This was exactly the reason why GPT-2 was restricted for general release in 2019. Check out section 4 - https://cdn.openai.com/GPT_2_August_Report.pdf
60.
by meander_water 6mo ago
Industrial Revolution? We're still here.

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