ericjmorey @ ericjmorey @programming.dev

Data Science

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Joined

2 yr. ago

It's cool to see people still messing with GNU Hurd. I assumed it was abandoned.

Any results from the search term [LANGUAGE] Programming are a positive influence on the index for the language being checked.

So Rust would get a boost from Ferris products listed for sale if they show up as a result.

Podman supports Docker images and makes things easier for users in doing so.

It cuts both ways. Less commercial interest means only hobby level development (which can be high quality, but is typically slow and unpolished for users).

So you can spend your energy on making up the gap between the ease of use of the commercially supported software and the pure volunteer projects or you can have free time for things you're more interested in and jump ship when they squeeze too hard for cash.

What makes it make sense in a work environment?

Nobara is Fedora with some additions that make it easier for new users to stay in point and click mode and have more things working out of the box..

There's really nothing worth spending your time with for verbal language learning when it comes to free and open source software. In fact, most software isn't worth your time.

iTalki can be good for finding you a tutor and having video chats.

Pimsleur is good for solo instruction and practice.

YouTube is good for tips from other language learners and finding immersive content (i.e. content from native speackers in another language).

None of this is libre software.

The TIOBE index seems to put a strangely large amount of weight on Amazon's search engine results for products for sale at Amazon.

Don't forget to put links to these alternative fron ends in the programming.dev sidebar.

Perhaps they could create a community on programming.dev

Element is the thing that's subpar (to be generous) compared to other chat apps. Element X is better for the features that have been implemented, but the current feature set is very incomplete.

What value can this bring me over features available using a Mozilla (Firefox) account and the Official Wayback Machine Browser Extension?

A Doctor will take risk factors into consideration

Unfortunately we see that the data doesn't support this assumption. Poor populations are not given the same attention by doctors. Black populations in particular receive worse healthcare in the US after adjusting for many factors like income and family medical history.

I agree, but the US DoJ doesn't.

To pretend Windows 11 might eventually require a Copilot key on keyboards is plain silly.

This seems like you've misinterpreted the situation. Microsoft won't create a software dependency on a keyboard key being present (there's already a hotkey combination that will launch Copilot in Windows 11). What is likely to happen is that Microsoft won't give favorable terms to laptop manufacturers if they don't agree to use an "acceptable" keyboard layouts.

If taking into account the older machines results in better healthcare, that seems like a great thing to be discovered as a result of the use of machine learning.

Your summary sounds like it may be inaccurate, but it's interesting enough for me to want to know more.

Excellent points!

Wouldn't surprise me. I can't read or speak Japanese and don't do much active searching for changes in Japanese law and regulations because I'm pretty insolated from those most of those decisions. So I'm just coming across it now and and have very little context around this. It was the first time I heard about it and it seemed like a big deal. Seems many others als didn't know.

Taking the time to put the source article (in Japanese) through Google translate indicates that the Japanese Government made some decisions in April of 2023 that are still being discussed in concern for the effects it will have on the world.

As someone currently studying machine learning thoery and how these models are built, I'm explaining that built into the models at their core are functions that amplify the bias of the training data by identifying and using mathematical associations within the training data to create output. Because of that design, a naive approach to its use would result in amplified bias of not only the training data but also the person using the tool.

I haven't been using it much, so I don't know if I'm a good judge. But I see it as an oversized autosuggestion tool that sometimes feels like an annoying interuption but sometimes feels like it helped me mover faster without breaking my train of thought.

By "it", I mean I've tried several different ways to have an integrated LLM assistant integrated into my dev environment, none of which I was initially satisfied with in terms of workflow. But that's kinda true for every change I've made to my dev environment and workflows. It takes me a while to settle on anything new.

I recommend none in particular, but I recommend that you take time to at least check it out. They have potential.