The AI companies are trying to make it as difficult as possible to get a good PC

This is a wild theory if I ever heard one

they bought their own hardware to investigate hosting local models.

That’s going to be incredibly hard to make economical I bet, unless you have the ability to basically max out the utilization of the hardware around the clock.

The amount of tyre wear pollution from a bicycle is negligible, to the point where they are not even worth mentioning in these types of conversations.

Sure, you’d need a second exploit to escalate from there.

ffmpeg is expected to run for extended periods of time, given its use in transcoding.

Grain can be artistically desirable, but is generally speaking expensive from a bitrate standpoint to represent in the samples. By capturing it as a separate field, stripping it from the samples and then reapplying it at the point of decoding, you get the same image for less bitrate, which is basically what codecs are all about

Its not like its a system service that you can get ingress through…

With a competently crafted payload, you could perhaps get in via someone’s transcoding pipeline.

Truly streamlining the process by preemptively starting the bailout, huh

As noted in the post

The question and answer posed by the website is a bit more narrow, it’s asking specifically whether the companies currently investing heavily into LLM tech are seeing monetary returns on this investment as of today.

The answer is no

No

Anthropic’s uptime website is actually one of the funniest jokes of this year

Pronounced “kloo-awk” approximately

I mean, that’s gotta be grounds for termination if anything

It’s a really dumb way to frame what the OpenAI people actually said on this - they are saying that the people applying to them want to know how many tokens they can use as a tool to accomplish the job they are applying for. There’s a fundamental difference to compensation here to compensation, where tokens as compensation would be how many tokens the people applying for the job would be able to utilize for their own purposes, whatever they may be.

To illustrate - I would probably be reluctant to work for a company which would not be willing to spend the amount of money that would get me a more or less top of the line computer with which to perform my job. Not because I consider my company-provided development machine as a part of my compensation - it is merely a tool I use for my job.

The people applying for these jobs are the kinds of people who think that burning an exorbitant amount of tokens will make them quite significantly more productive, so the metaphor of having the best tools available to accomplish the task at hand extends here, in accordance with their belief system.

There’s then the quote from the VC ghouls, but I don’t think anyone could accuse them of being competent to any significant degree, so their quotes are most appropriately used as toilet paper.

The real gigachads are running TempleOS and you know it

Seems particularly high in levels of snake oil to be honest

An infinite pool of money.

Video hosting is very costly, especially at scale

RTOs are most often a “one free layoff”-card that businesses play, so firing someone for criticizing it is very much in line with the underlying intent of the policy.