LLMs use RNG for sampling, so they are not pure computers.

You have really try hard to see that. It is good enough to not give immediate annoyed reflex of seeing something in the same ubiquitous default chatgpt style.

For goodness sake - these are just a fair posters.

Depends on defnition of "plateaued" and "ceiling". I am not impressed with 2026 consumer models at all.

> This is also compounding because the AI is accelerating the pace of research, testing, development, manufacturing, etc.

Yet it does accelerate - so is does Twitter. But does it to any substantial degree, esp. in AI theory? All the modern LLMs are the same old tired 2017 paper.

If you are you using disk swap - not sure why would if you have a SSD, but I once heard some justification for doing that - then install early OOM.

No it is mostly a convenience gimmick. Support for external hardware calibration is important though. But far more important feature, implemented properly only by Eizo and no one else I am aware of - is uniformity compensation. Benq has it, so does Dell, but they all come with sever limitations compared to Eizo.

Mostly as you've mentioned, "lack of consistency", which manifests in variety of ways - presence of cellphones in historical settings (I'd call them "global inconsistency") and a character for whatever reason suddenly smoking a cigarette ("local inconsistency") I've never mentioned nor present in the context.

No, not really.

I become the government institution, the inhibitor of progress.

What a load of delusion.

Depends for what purpose? I found large Mistrals are massively better than Gemma 4 at creative writing: have more natural tone, better consistency than 26B as it is MoE.