JuettnerDistrib

I find it ironic that so many OSS projects are or are considering banning LLM usage. After all, without OSS, LLMs would never have been this good at coding.

Shouldn't OSS be the first to benefit? Or should OSS be a bedrock of carefully curated code untouched by AI slop?

A big part of open source is about reciprocity: you taketh, you giveth.

Do LLM companies give back to the community?

I'd be curious to know if this helps on supercomputers, which are notorious for frequently hanging for a few seconds on an ls -l.

I'm sure many researchers have English as a second language, and rely on LLM to fix their grammar and vocabulary.

How would this work for a personal blog? Would I need to be careful not to endorse or even talk about companies and products? And if I didn't have to, wouldn't that open the door for advertising masquerading as news or opinion? Genuinely interested in this.

I've had the bad luck that my first prescription was quite wrong: incorrect axis for astigmatism, and incorrect spherical (I basically have only astigmatism, no spherical). So for years I was suffering through the days. Optometrists flat out refuse to correct such mistakes (I've been to many!), preferring only minor changes. I finally started ordering a bunch of glasses cheaply online, and eventually found a prescription that works for me. Cannot trust optometrists anymore.

> encode laws into some sort of machine code

Don't need to encode it in some sort of machine code. Just need a git repo with the law so we can submit a PR to the CA assembly and get this fixed.

> With books, movies, series and music I like to own physically only my personal favorites that I know will use many times.

I don't own many DVDs, but when I see them in my bookshelf they remind of the story the tell, the context when I watched them, and my theories about society, sci-fi, and utopias that those movies inspired.

With books it's even more extreme. I get the physical copy sometimes more to have a physical representation of an idea than to read the book.

> There are countries running on 95%+ renewable electricity right now[1].

That list ignores that countries trade electricity. If, say, Germany produces a lot of electricity by renewables it can sell the excess to France (which has lots of nuclear). If Germany is low on electricity, it can buy from is neighbors. The system as a whole is nowhere near 90%.

The one exception are probably countries that have all hydro and biomass.

Great article. I have two comments:

1. Procrastination seems to be a type of early stopping. I knew I had a good strategy in school!

2. Something that seems to be sorely missing in machine learning (I'm not a ML expert) are error bars. If you take the example of the figure at the end, as you increase the number of parameters in the model, your error bars become larger (at least in the overfitting regime), and they are infinite when you have more parameters than data points. Indeed, chi^2 tests are usually used in physics/astro to test for this. Of course, you need error bars on the data points to do this. So perhaps the difficulty is really in assigning meaningful uncertainties to your pictures/test scores/politicians.

Other purpose than being a psychological trick, what purpose could pointing out the lack of evidence at the time have? Instead they could have written something like "We found the problem in 2021 and promptly fixed it. We first learned that it has been exploited in 2022."

If passenger rail increases, then goods rail must decrease and go onto trucks. Or, one could let goods rail go at night, but Germany is noise -sensitive, so that's unlikely to happen. In the long run building more tracks are probably the only real solution.

Same for me, except my prescription is stable. The first doctor I went to got it wrong, and every doctor since was too hesitant to change it. One even got it right, but said nothing had changed... They missed that the axis was significantly different, and that had been the problem all along.

> we only learned that older people pick all-H or all-T more.

I think we learn that older people are less willing to put up with silly instructions.