pjfin123

Linux Desktop feeling extra good today, my sound often doesn't work but I don't have to deal with Microsoft nonsense.

The only difference between what Assange did and what "legitimate" journalists do is to publish embarrassing truths about those in power instead of uncritically publishing what the national security apparatus intentionally leaks.

It's an exponential curve, from the perspective of people 100,000 years ago we already are. When computers start 10x-ing every month then the days of the world operating on human timescales is probably ending.

I wrote a similar Python library to do Beautiful Soup scraping with basic PageRank and a Flask web app: https://github.com/argosopentech/argos-search

What do you think the the future of learning to program is? Something like this or repl.it for beginners to not have to understand the environment?

There are substantially more applications available for Snapcraft. Including mine Argos Translate! https://snapcraft.io/argos-translate

Also more mature than Flatpak

Your desktop apps are sandboxed and can't, for example, read all of the files in your home directory.

Argos Translate has open source neural machine translation https://github.com/argosopentech/argos-translate

If you're publishing to PyPI you can simply include your own packages like you would any other.

Pickup basketball, hiking, and lifting!

I have condensed notes on "Meditations" https://www.reddit.com/r/Stoicism/comments/pesssf/notes_on_m...

LibreTranslate has open source translation too: https://libretranslate.com

Opus is great!

This is what Argos Translate uses (https://github.com/argosopentech/argos-translate).

It looks like they outperform the general market and hedge funds, probably not a bad idea: https://www.barrons.com/articles/SB5000142405311190443360457...

Nevermind

> The simplest way to run AlphaFold is using the provided Docker script. This was tested on Google Cloud with a machine using the nvidia-gpu-cloud-image with 12 vCPUs, 85 GB of RAM, a 100 GB boot disk, the databases on an additional 3 TB disk, and an A100 GPU.

I'm assuming you can't run this on any consumer computer?

I understand the diagnol proof but not a lot of the rest. If you assume only computable numbers exist though a lot of this seems to really not matter.

Of all the concerns over training large AI models incidental copyright infringement doesn't seem that important.

Of all the potential issues with training large AI models incidental copyright infringement seems pretty mild.

Why would you want to? For many open source developers having models trained on your code would be desirable.

I think this would fall under any reasonable definition of fair use. If I read GPL (or proprietary) code as a human I still own code that I later write. If copyright was enforced on the outputs of machine learning models based on all content they were trained on it would be incredibly stifling to innovation. Requiring obtaining legal access to data for training but full ownership of output seems like a sensible middle ground.

(Reposting my comment from yesterday)

I'm sorry to here about some of your bad luck and run ins with office politics.

My reading of the Essay was that hard work was necessary for great success not sufficient, which would be a very different claim.

Clearly this requires some level of judgement but this isn't new, determining what is plagiarism and not requires a similar judgement call.

Then the person training the models wouldn't be legally accessing your code.

I think this would fall under any reasonable definition of fair use. If I read GPL (or proprietary) code as a human I still own code that I later write. If copyright was enforced on the outputs of machine learning models based on all content they were trained on it would be incredibly stifling to innovation. Requiring obtaining legal access to data for training but full ownership of output seems like a sensible middle ground.

With a $100,000 salary, $50,000 expenses, 30% tax rate, and 5% real returns you could put away $20,000 a year and have a million (2021) dollars in 26 years.

Hardly easy but not out of the realm of possibility for a persistent and highly paid software developer.

How has all this information form the IRS leaked? ProPublica seems to have accessed many of the richest American's tax data. Is this something one person could do? How many people have that kind of access?