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RSS or/and newsletter would be nice (but manually curated, not ai summary)


RSS feed is on the roadmap. Planning to implement: - Per-language RSS feeds (/en/news/feed.xml etc.) - Manually curated (articles are already human-selected from sources)

Newsletter is an interesting idea too. Im thinking about a weekly curated roundup per segment. What would your preference be? Thank you for your feedback, well appreciated.


I'd prefer one digest of essential highlights of the week across all segments.

I like to be interested in "other segments". But if they are in a separate subscription/email - I will never prioritize to open it.

Thank you!


Really like this approach, one unified weekly digest across all segments. You're right that separate emails would just get ignored.

Planning to make RSS first and then newsletter.

Appreciate you taking the time to share specifics: helpful for prioritization


Location: Oslo/Norway

Remote: yes (can do hybrid if in Oslo)

Willing to relocate: no

Technologies:

Core: Python, Cloud (GCP), Data, Linux. I'm quite comfortable with these: ML, HTML/CSS, JS, Rust/Golang/C

CV: https://www.dropbox.com/scl/fi/8n0a92l00yh23xvahf3uc/v.anany...

Email: https://linkedin.com/in/victor-ananyev


I would also add UV_NO_SYNC as smth I had to learn. It comes in combination with uv pip


What's your use case for UV_NO_SYNC? I assume the option exists for a reason, but aside from maybe a modest performance improvement when working with a massive complex package environment, I'm not sure what problem it solves.


some packages that I use for development need to be part of the virtual env. for example ipdb.

so i do uv pip install ipdb.

but then, after uv add somepackage

uv sync happens and cleans up all extras. to keep extras, you need to run uv sync --inexact. But there is no env var for `--inexact`, so I end up doing the sync manually.



reminds me of the difference between fasttext and word2vec.

fasttext can learn words it haven't seen before by combining words from ngrams, word2vec can learn better meaning of the whole words, but then missing out on the "unknown words".

image tokens are "text2vec" here, while text tokens are a proxy towards building a text embedding of even unseen before texts.


If multiple services have multiple owners it becomes also a question of trust. You either validate one service that fits 80% of your requirements, or validate ten services where each solves one specific requirement.

Also, of course - economy of scale for the infrastructure / integrations between features. Monoliths are still a thing.

But yeah, I agree developer experience may be traded here.


It's not only docker. ssh forward port forwarding also by default binds to 0.0.0.0, if `<local>` is missing.

``` ssh -L [<local>:]8000:remote:8000 hopping ```


ssh doesn't mess with your firewall though


Very nice! I liked this one:

> grug quite satisfied when complexity demon trapped properly in crystal, is best feeling to trap mortal enemy!


I will just share my struggles with Asus Tuf A15 (FA507UI) bought in March 2024. It was really frustrating, and I spent so many hours debugging. Unfortunately I wasn't as skilled to decompile dsdt/acpi, but all these keywords look familiar from my deep dives into the issue.

In the beginning I had sticky keyboard issue, with a button repeatedly triggered for no reason. This got fixed after one of the bios updates.

Later, for a while I had the stuttering issue when the GPU was in standby (when loaded in hybrid mode) [1]. I then switched from PopOS to Manjaro with a hope that newer kernel might fix it, and it did.

Today I'm struggling with a new issue - GPU sometimes gets disconnected, and requires system reboot to turn it on again. I generally use GPU for compute, not for graphics - so you don't see it until you do. New Nvidia drivers might have fixed this [2].

[1] https://forums.developer.nvidia.com/t/random-freezes-rtx-407...

[2] https://forums.developer.nvidia.com/t/bug-sporadic-hang-on-s...


Hi! That's really useful tool!

I wish it also explained the decision making process, how to understand from the picture what is the right answer.

I'm really getting lost between melanoma and seborrheic keratosis / nevus.

I went through ~120 pictures, but couldn't learn to distinguish those.

Also, the guide in the burger menu leads to a page that doesn't exist: https://molecheck.info/how-to-recognise-skin-cancer


This is very helpful feedback. I will add some more information to help with the diagnosis and add an article in the burger menu with detailed explanation.

Being honest I didn't expect anyone apart from a few of may patients to use the app and certainly did not expect front page HN!


Hey!

Thanks for making this! A bit more polish and this is something I’d make sure everyone in my family has played with.

Imagine a world where every third person is able to recognise worrying skin lesions early on.


I'm not a doctor, but there's an ABCDE[0] rule of thumb to spot signs of skin cancer:

Asymmetry: One half of the spot is unlike the other half.

Border: The spot has an irregular, scalloped, or poorly defined border.

Color: The spot has varying colors from one area to the next

Diameter: melanomas are usually greater than 6 millimeters, or about the size of a pencil eraser

Evolving: Changing in size, shape, color, or new symptoms (itching, bleeding)

[0] https://www.aad.org/public/diseases/skin-cancer/find/at-risk...


Also came to the same conclusion. I want a mode where 50% of the set are melanomas, and the other 50% are “brown benign things”.


Will add this in next version!


Location: Oslo/Norway

Remote: yes (can do hybrid if in Oslo)

Willing to relocate: no

Technologies:

Core: Python, Cloud (GCP), Data, Linux. I'm quite comfortable with these: ML, HTML/CSS, JS, Rust/Golang/C

CV: https://www.dropbox.com/scl/fi/8n0a92l00yh23xvahf3uc/v.anany...

Email: my username at google's mail service


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