Luckily for everyone including Guilhermo he can't dunk on the situation since x.com is down as well.

Feels like you could make a fun game out of guessing where in the image you in the most zoomed in level.

I think reading weekly news instead of daily news helps you stay in the loop, but cuts out a lot of information junk.

That being said I’m still looking for some good weekly news(papers) in English.

Would love some recommendations.

Seems like the brew tap has not been updated yet btw.

Little-known Homebrew tip: Python applications are installed in their own Homebrew-managed virtual environment, which means you can run pip in them to upgrade to the latest version of packages even when the tap hasn't been updated yet.

I just tried this and it worked - now "vd" gives my Visidata 2.0 on my system:

    /usr/local/Cellar/visidata/1.5.2/libexec/bin/pip install -U visidata

great tip! Thanks :)!

My main use case for this is: I get some random data file thrown at me. Could be json, csv, xlsx anything that has data that can somehow be interpreted somewhat tabular and I want to find out quickly what's going on.

You can really go from not knowing what's in a file to a decent understanding in less than a minute.

Here's a quick example from today of why I find it such a general purpose tool

Pipe in some fixed-width formatted data

    kubectl get pods | vd -f fixed -

Gives me a searchable, usable output. Press right to highlight the status column, shift-f and I get a count (+histogram) of the statuses. Three have failed. Hit enter on that row and I can see specifically which ones have failed. This takes a few seconds (I just tried and did it under 5 from running the above command).

If I knew I wanted the failed ones I could have grepped or similar but I can then order by most restarts, etc.

This is a tiny part of the functionality but it's an example of "there's some tabular-ish data but what's there?". Load X, histogram, filter, sort is probably 90% of my use-cases.

I haven't even thought about using it that way. Super cool, will do in the future.

> Load X, histogram, filter, sort is probably 90% of my use-cases.

Exaclty! Same for me.

It's kind of fun to see that this has been posted several times on hn before, but never took off.

e.g.: https://news.ycombinator.com/item?id=8454570 https://news.ycombinator.com/item?id=10086156 https://news.ycombinator.com/item?id=803901

In this one https://news.ycombinator.com/item?id=1472611 the URI is actually broken - not sure if it changed or if it just was a mistake of OP back then.

Hey,

Recently I have been working a lot with semantic sentence encoding. For example for some semantic search use cases or semantic clustering.

As a sort of demo and way to explore the potential and limitations of semantic encoding, I thought it would be fun to build this small side project together with a colleague.

It's basically a HN clone based of VueJS' HN clone with the small twist of having the top 3 semantically most similar together with the current HN stories.

I have been using this for some time for myself now and I find sometimes some fun stories come up. It doesn't always work so great, but see for yourself.

I added a feature for ranking how similar you perceive the story to be. If enough people make use of the ranking feature it could be possible that a dataset of similar HN-stories title pairs would come together (I'm thinking of sth. like the GLUE STS-B dataset).

If that was the case I would, of course, make it available publicly.

Thanks for reading and please let me know your thoughts :)

/Philipp

Good idea Philipp. The results are not as great, BERT based similarity is still very far off human performance.