I cannot speak for your machine, but on my personal M5 MAX, thermals hover around 70c when doing long sessions.

Its honestly just fine. I'm actively replying using the MacBook Pro M5 MAX 128GB. When doing "AI" tasks, the bottleneck is memory performance, not compute. So yeah, the fans kick in because the system heats up, but it doesn't get to the point of thermal throttling. I imagine the Nvidia based laptops doing "AI" tasks will work about the same.

Every time I read that a company is "Aligning" the only thing I can assume that is being aligned is the C-suite's pocket books.

Every single game developer, so they know where their potential market base is, so they know what platforms to invest development time into.

Maybe... just maybe, it started before "AI" - maybe, just maybe, it is become what is taught as "computer science" and what they actual day job are absolutely nothing like each other. CS degrees force rote memorization of established algorithms. That's never the day job. 30 years of computer programming, and I've implemented more Mandelbrot renderers than I have inverted b-trees, or sorted link-lists. Schooling and industry are the furthest apart imaginable, and the younger generations have started to pick up on the fact that leetcode skills don't mean jack shit in the real world.

Don't even need WSL. The exception wasn't for "Linux", it was for "GPL, BSD, MIT" and some other licenses. Yeah, just license things as close-sourced BSD/MIT, and you're all good!

This is an extremely broad topic. There is no one singular "AI". These mentions of "AI", each one, are often referring to entirely different things. For instance, CorridorKey is an "AI" based green screening technique that supports transparency and is a hell of a lot faster and more accurate than just about any other traditional tool out there. So is this the "bad" kind of "AI"? Or is this (and similar) just new tools in the tool box to speed of particularly boring and repetitive tasks nobody actually wanted to do? Masking a green screen is hardly on the "artistic" side of things, its just technical work destined for automation.

https://github.com/nikopuering...

1) nobody wants to read an "article" that has more ads than content when researching a topic (yes, ablock exists for us techies and I have it, but talking in the more broad common person sense).

2) nobody wants to read a forum thread with over 100 posts to try to find the one post with the real answer surrounded by a collection of bad answers and people saying "YUP, IT WORKS NOW" with zero context otherwise.

Make your content on-topic and valuable, and users will return. it is as simple as that. These are just two of the main things I see as devauluation of a lot of these web sites complaining about a drop in traffic. They're most certainly not the ONLY reasons, but it is two of the major points!

If you think that simply because there are 3 possible outcomes, that there is perfectly even distribution of said outcomes, I think you should go back and attend an entry into statistics course again.

Ignoring sales figures for a moment, I'm honestly perplexed why everyone is missing the glaringly obvious reason for the death of optical media

1) storage density.
2) storage bandwidth.

Nobody wants to wait 20+ minutes to load a single level in a game. Developers are making games larger and larger, well beyond the capacity of a BluRay disk. Optical density has not kept up with increasing storage demands. The technology simply isn't there today, and there is little incentive to continue to invest into higher density disks because of the cost reduction in online distribution.

Do I hate this reality? Sure. But do I understand the economics of it? Totally.

I'm confused by this. Apple ALREADY offers financing through their own Apple Credit program to purchase hardware. So, why then outsource what they already have in-house and working great where they get to keep everything themselves?

"OnStar brought in about $800 million in the second quarter"

Meta (Facebook/Instagram/Threads) and Alphabet (Google/YouTube) has machine learning to train models that then their ad networks use inference on to deliver you advertising across the entire internet.

This is one of those R&D cost things. Those companies entire bottom lines depend on how competitive their advertising networks are. They invest in AI/ML and get the return elsewhere invisibly.

Is it truly paying off at the scale they're investing in right now? Well, maybe... but it certainly is no where near the losses being advertised right now.

Drivers!? Who needs drivers? Just netcat the PDF output directly to the printer! Printers natively have their own printing drivers and capabilities built in, and will translate documents internally.

https://retrohacker.substack.c...

NT4 wasn't a consumer OS though. So of course they didn't care.