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At this point its a sunk cost fallacy

Googles decisision to add developer verification killed my interest in handset development entirely. But hey, at least I know what to focus my time on rather than third party app development ie. F-Droid. I look at my android phone differently now that its on the table which sucks but hey they made me switch my development time to linux drivers now instead.

It's just bizarre to me. I have always been fully aware that when I give input to a LLM I am conversing with a statistical model. Never has it crossed my mind to actually talk to a LLM. But I guess it seems possible when you haven't grown up with technology or don't know how it works. This fate for that poor boy is awful and OpenAI should be responsible.

Interesting approach! The title is misleading though. I do not understand how this relates to pixel art. Pixel art is placing pixel on a constrained canvas and choosing colors on a limited palette which this does not seem to be. Maybe this could be considered blurring effect or image reconstruction/approximation?

I am more interested in what this article and project does not seem to mention.

> During this process I've learned a lot

Yes, but what exactly? I mean I guess you don't have to touch the project once its finished so there is less value in familiarizing yourself with the source. The source is roughly 15135 lines. That is quite a chunk and most likely would have taken more than 30 hours to write that from an standpoint of knowing the basics of typescript and the phaser library.

Not every interest comes with age. I am interesed in some antique stuff that's way older than me.

I can not love this development project enough its the peak of Android custom ROM. I am curious though as to what they have changed so much that it is going to be more difficult.

Looks neat and simple! Gonna try it for few days atleast, thanks.

If I as an artist make a great piece of art, you don't think I should be compensated for it. If I complete a surgery or drive a truck which all of them are byproducts of ideas and knowledge I should be compensated for them, not just for thinking of them. You see the problem here? I don't want to pay for an idea of art, I want the complete and original piece made by the artist. As for if they generate the art using some machine learning model, they need to disclose that so I can make conscious choice.

> I see the "theft" as being democratized now- large studios/entities with large resources have always been able to legally "steal" so with these AI tools I guess we all can now?

You don't see any issue with machine learning models trained on huge amounts of copyrighted and patented materials basically scraped from the internet. Yes you can make your animated film and audio but at the cost of hugely controversial and non-transparent generative models.

> Aesthetics are dead now imo because of generative AI as anyone can be any "style" so now it is all about ideas- original human ideas.

This argument kind of conflicts with itself, no? Aesthetics are inferred from ideas either inspired or original.

As the article states "These undocumented HCI commands cannot be triggered by Bluetooth, radio signals, or over the Internet, unless there is a vulnerability in the application itself or the radio protocols.". Hence I dont think there is any security risk here assuming the application and radio is safe.

It differs in a way that the person must have access to the device to flash firmware I believe. In x86 as you describe, the person could attack with a connection to the device/machine.

Very though out set of guidelines, thank for this. As I learn more optimized workflows and git usage solely through terminal these days I have come to the realizations that even the tips mentioned here seem obvious and considered good practice among many professionals they arent necessarily used by majority. So I do believe all of this is subjective to an extent because using git as objective means to accomplish version control and just that. I personally like conventional commits and have for years because of its simplicity. Keywords such as feat, fix, build, and docs tell me already what I need to know when searching history or how to version next release.

For me, this is easily one of best pros of using Spotify. The post did not mention but it may take up to a month to get data files from spotify (took 28 days for me) but it is worth it. One example use case for data science is the Stats.fm project that neatly aggregates you listening history with graphs and such.