theunknownmuncher

This is only amplified by LLMs

Google Search has long since diminished from it's peak. 15 years ago we used to play a "game" by describing something as vaguely or strangely as possible and would be entertained to find it still on the first page of search results.

SEO and paid ranking caused a steady decline in Google search performance, and LLMs are the kill shot.

Indexing and ranking were already a solved problem, and conventional algorithms accomplished it much better than LLMs do. Unfortunately, LLMs need to find uses to justify investment, so now they must be used for any task that they can be used for, even if its worse than the solutions that we already had.

OpenAI should be able to re-train its poorly trained model. But of course it can't, that would take months, maybe years of datacenter time.

Why speak on subjects that you clearly have no knowledge or experience with?

Training is checkpointed and can be continued without retraining. Finetuning a model that has already been trained is a different process from training, and does not take months or years of datacenter time.

But Microsoft can modify the Windows 11 source code. Or at least they used to be able to, before AI.

Huh? It takes way more time and effort to develop new features and changes for software like Windows.

Yeah. It's proprietary. And you can't modify the Windows 11 source code, either.

I still can't get over how the only fine tuning you can do for an LLM is yell at it with markdown files.

It isn't.

We should be able to retrain local models so they can develop an actual experience without prefilling the context.

Great news, you can do exactly that.

Thanks, that is what I meant

Separate network for NAS or local services. Or ~~bridged~~ bonded for more bandwidth

4 display outputs for onboard graphics? Why lol. I'll take the dual ethernet ports.

slop

Any day now

We've surpassed vibe-coding and are onto vibe-companies

Epstein files.