https://en.wikipedia.org/wiki/Precordial_catch_syndrome

Revealjs also supports markdown.

They have a pressure gauge too, which should be in the green.

It is theoretically possible by using formal verification. Which is getting easier due to lean. But still impractical.

Where does slop start? If you use auto complete and it is just adding a semicolon or some braces, is it slop? Is producing character by character what you would have wrote yourself slop?

How about using it for debugging?

I also want to say that Linus is still the one merging things into the kernel and he is ahm… opinionated?

For others reading it:

ChatControl 1: allow scanning on voluntary basis (voted down twice recently)

ChatControl 2: mandatory scanning

Most smart people that have used llms have reported that there is a constant temptation to just stop thinking and let the llm do it. It is very easy to give in. Studies support this.

Until ai companies decide / get pressured by politicians to push a certain agenda, and there is no critical thinking left for people to realize it.

That’ll be 10 extra per user per month.

Have you tried introducing unnecessary complexity?

Yes that’s a pulseaudio issue. If you search pulse audio crackle you should find some tips. Something to do with some settings on delay I believe.

EDIT:

Also want to mention that for me, it was a USB port issue.

Another Walmart moment.

I once used that thing and couldn’t figure out why I got errors. After hours I realize postman was sending headers you didn’t specifically configure and that caused it to fail.

This may not be so easy, what protocol does the ISP use over fibre? Honestly the network card that you will probably need might already pull more than the modem.

I honestly have yet to see meaningful CO2e reduction methods that do not involve less consumption in some way.

I think you are making the mistake of attributing intent to an LLM. A LLM does not have intent. It takes the context and generates the statistically most likely tokens that come next. The biography is part of the context.

The fact that it gives different answers based on context purely comes down to how it was trained and that there is no concept of “factual information”.

I’m not defending LLMs, this is just LLMs doing exactly what they were trained to do.

I mean this study literally says that poorly worded prompts give worse results. It makes sense too, imagine you are on some conspiracy Facebook group with bad grammar etc, those are the posts it will try to emulate.

I wanted to create a caching snap proxy and it turns out you have to register it with canonical to get a cert.

By selling poor quality copper, he has been remembered thousands of years later, what a Chad.