BoredomIsFun

It depends if you can tell.

Math is not a science. Yet.

> ego, arrogance, jealousy and competitiveness?

Nah, he is simply being a politician.

31B

Not sure if GPT based LLMs are polynomial time.

> It's impossible for finite number of LLMs to solve all theorems. This would imply that the busy beaver sequence is computable which implies the halting problem is decidable

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

exactly. Hindsight is 20/20.

> t still have the same AI uniformity and smell as the crappy restaurant poster you see on the street

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.

ehhh....to be pedantic, LLMs, like any NNs derive power from _not_ being pure matrix multiplication - they are "halved" matrix algebra, due to ReLU

> The models have not plateaued, and they are not even mildly close to any sort of ceiling.

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.

It does not if you switch swapp off and use zram instead. I am typing right now on such a setup wityh 16 GiB ram and it occasionally, once a week or so, kills my firefox due to oom.

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.

Apple mnitors for whatever reason use ancient 450nm backlight, which strains my eyes like no tomorrow. All modern 5k and 6k use 455-460nm backlight. Otherwise, yes, APples are good.

There is a plenty of Chinese lower quality 28 3:2s