MichaelNolan

The words weren’t removed randomly. When i said “percent coverage”, I meant that the blocked words are outside of the xx percent most common by frequency.

I’m not convinced that solar’s land requirements matter. Almost no country is small enough that the land usage is a serious constraint. The UK is 244,376 km2.

In 2010 Hinkley C was the right choice. But if starting today, that £48 billion could buy you a whole lot of wind, solar, and batteries.

Gleam is such a beautiful language. I wish I had the opportunity to use it more. If it could compile (transpile) to a native target like rust or go, it would be truly perfect.

The tile should say “coke” instead of “coal”. The largest US coal producer is in Wyoming, not Alabama where this facility is located.

No I worked at a state run prison. All I know about the private ones is 1. The staff get paid less, and 2. They mostly only get “good” inmates. That was over a decade ago so idk if the 2nd part is still true.

Just out of college I didn’t know what I wanted to do, so I took a job at a prison near Phoenix AZ. It was outdoors, the cells had no AC. In a 10 hour shift in 115 (46c) degree weather I would go through 1.5 gallons (5.6 liters) of water. Every single day at least one inmate would pass out from the heat. At least they got heat for the winter.

Thankfully I left all that behind a long time ago. Though I just checked and they still don’t have AC.

There is a fairly famous quote: “The degree of civilization in a society can be judged by entering its prisons” - Fyodor Dostoevsky

I have seen them say "and reasonably priced when comparing to other models of similar price" on several models. I always get a kick out of it.

Code metrics in general aren’t that widely used. I’ve only ever worked at one place (a bank) that tracked it, and that was only because sonarcube had it built in.

While a lot of metrics make intuitive sense, we don’t have that much hard evidence to prove or disprove their value. Part of it is the whole “if a metric becomes a target, it ceases to be a good metric” thing. Adding the checks to a large existing project probably has negative value. But I think it’s worth doing for greenfield projects.

For humans, these should just be advisory. But for LLMs I’m happy enough to make it a blocking check.

I keep thinking of doing an experiment where I give the same LLM the same problem, and only change which metric is enforced. And then see if any of them have a noticeable effect on correctness/maintainability.

> any examples of how people get this into an actual report / CI test / benchmark / whatever ?

Yeah they have examples of adding it to CI, or local checks, generate html reports, etc in their docs.

I wonder why they didn’t throw a real chess engine in there for a baseline. There are engines where you can set the elo in the settings, so it should possible to see these LLMs relative to a human 1500 rather than just relative to each other.

I think your prediction is a bit early. Maybe a decade early. 2033 is 7 years away. The transition is happening really fast, faster than most people (or political leaders) know, but not that fast.

We will hit 1TW per year of new solar soon, but to get to 100% electricity by the end of 2033 I think we would need closer to 3TW per year.

How does parallelism come into play for this conversation? Async/await is a concurrency construct. And Java’s virtual threads are also a concurrency construct. Neither of them have anything to do with parallelism. Or am I misunderstanding something?