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Comment Which "AI" (Score 4, Interesting) 65

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...

Comment Ads and Bad Advice (Score 5, Insightful) 85

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!

Comment Optical Limitations (Score 1) 60

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.

Comment Meta/Alphabet (Score 1) 121

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.

Comment Re:A lot of taxpayer money to cause more problems (Score 1) 20

Unproven? This is the technology directly responsible for the onslaught of zero-day exploits in every major F/OSS (and even some closed source) ecosystems all over the internet. Go check the CVE news from the past couple months, its all Mythos up and down entirely. This is literally the tool cracking every major codebase on the internet, so calling it "unproven" is a bit of a stretch at this point.

Comment Re:Several of them will eat your SSD (Score 2) 104

Chances are this is a configuration issue.

For instance, I recently saw a case of this with LMStudio. It turns out that LMStudio doesn't properly handle K/V caching when paired with Claude Code. The solution? Literally the exact same model, but using Ollama as the server application instead. Problem instantly solved.

The other big reason for SSD thrashing is not having enough RAM to handle the model, context, and cache. If you do, then your disk shouldn't be touched at all for model work other than initially loading the model. These things are designed to entirely run from RAM because disk, even the fastest NVMe drives, are slow as shit in comparison. For reference, on my test laptop, it does ~15GB/sec from NVMe, but well over 600GB/sec from RAM. The NVMe speed overall is great for filling content into RAM but once that is done, it is never touched again (save for basic small text/log files)

Comment Local LLMs (Score 1) 128

So just run your own inference infrastructure then?

A traditional "developer" laptop generally costs around $2000-3000 for high end engineers. An extremely capable inference laptop, otherwise doing the rest of the same jobs, is around $5000-6000. One time cost. Everything runs locally, which also solves the "do I trust LLM vendor?" issue.

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