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I don't think you are being naive but I do caution you before you don't worry.

Its not always clear what the desired outcome is here. The dark pattern could have nothing to do with the tracking most folks worry about. We like our phones more than our laptops because we touch the screens for example. The dark pattern here could simply be you use the site more because you do more actions there driving you to waste time and view ads. Who knows.


I worked (professionally) on a product a few years ago based upon decision tree and random forest classifiers. I had no background in the math and had to learn this stuff which has payed dividends as llms and AI have become hyped. This is one of the best explanations I've seen and has me super nostalgic for that project.

Gonna try to cook up something personal. It's amazing how people are now using regression models basically all the time and yet no-one uses these things on their own.


I worked on a product which was the best ID reader in the world at the time 25 years ago. The OCR engine was based on Decision tree and "Random Forest" (I suspect the name did exist) with only 3 trees. It was very effective as a secret weapon of the competitiveness. I tried to train a NN with a framework called SNNS(Stuttgart Neural Network Simulator) as the 4th tree complement to the existing 3.

Today, hand writing OCR is a "hello world" sample in Tensorflow.


That's awesome and based on my experience I'm not shocked this went well. I'm not sure what the features would be in this but I am assuming they could be specific pixel combinations or other things which would be easily labeled in a few ways. I hope you had fun with it.

My previous project was far from that. https://healthverity.com/audience-manager/

I had a lot of fun, really the last fun project I've had. I hope you had fun as well.


And I still can't find a big NN model which reads historical handwriting well.

in the interest of understanding, is there any code or similar for the approach? does that OCR run anywhere today?

The technology was developed by my predecessor during late 90s when microprocessors was much less powerful, and the resolution of image sensor was low. The relatively high accuracy based on those conditions was a critical factor to use Decision Tree as OCR engine. It's used till 2007 when I left my company.

I don't think it would survive afterwards due to quick change in technology. Even the desktop OCR applications at the time didn't use Decision Tree because the CPU was much more powerful. The DT OCR engine was competitive only under special use case.


Why does everyone associated with this administration sound like a 17 year old who got dumped when they post on twitter.

Because this administration is entirely composed of those same 17 year olds, older but not any more mature.

Basically a reflection of the average intelligence in the U.S.

(╯°□°)╯︵ ┻━┻

I've had a Mac rather than a Linux machine at home for the last five or so years. Before that the arch wiki saved the day for me so many times.

Reading this has me looking for a junker laptop on eBay.


Full disclosure this is my employer but I find HN is a bit GLP1 engaged so I figured it was a good share. Do folks here anecdotally follow this trend of not continuing these drugs long term?


Add to this list that it tends to not work while connected via a VPN. Not sure why but this makes me very skeptical of it.


Probably because their handling of VM networking isn't very robust.


Why should booting a Linux VM require network access right away.


Probably because it's trying to establish a network connection, and it might be running a networking setup that blocks until the network is up. Also, it's trying to run networking with the host so it can run things like the storage balloon driver and mounting the host filesystem.


that's sketch city. Why does it care? What are they looking for?


I'm thinking maybe they just want me to keep using termux over their sketchy shit


I dunno I just copied it into emacs. Another free short story to keep in my digital collection.


That was my exact reaction after opening this post...


This is a wonderful app. Thanks for making builds available via Obtainium. You will be getting a donation shortly. I will assuredly use this when I go hiking and fishing.


Thank you so much that really means a lot!

Beyond donating, the best way to support MBCompass is simply spreading the word. That helps more people discover it, contribute to it, and make it better for everyone.


I was going to ask. Is a goal here for users to self/locally host if they like?


Yes, you can self host if you’d like as long as you don’t make it public. Be sure to get the latest version from GitHub periodically, or not. If it’s working no need to update.


Thanks !


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