Thanks, I’ll give that a shot.

Thanks, it makes me feel relieved to hear I’m not the only one finding it a little overwhelming! Previously, I had been using chatgpt and the like where I would be hunting for the answer to a particularly esoteric programming question. I’ve had a fair amount of success with that, though occasionally I would catch it in the act of contradicting itself, so I’ve learned you have to follow up on it a bit.

I turned on copilot in VSCode for the first time this week. The results so far have been less than stellar. It’s batting about .100 in terms of completing code the way I intended. Now, people tell me it needs to learn your ways, so I’m going to give it a chance. But one thing it has done is replaced the normal auto-completion which showed you what sort of arguments a function takes with something that is sometimes dead wrong. Like the code will not even compile with the suggested args.

It also has a knack for making me forget what I was trying to do. It will show me something like the left side picture with a nice rail stretching off into the distance when I had intended it to turn, and then I can’t remember whether I wanted to go left or right? I guess it’s just something you need to adjust to. Like you need to have a thought fairly firmly in your mind before you begin typing so that you can react to the AI code in a reasonable way? It may occasionally be better than what you have it mind, but you need to keep the original idea in your head for comparison purposes. I’m not good at that yet.

How’s this for an obscure reference? This reminded me of an episode of Max Headroom in which the wunderkind Bryce invented a robotic fly with a spycam that could be used to literally bug a room. They send it on a mission to uncover an evil plot and everyone is excitedly crowded around the screen and heaping praise on it. Then it manages to sneak into the evil lair where it promptly gets swatted, leaving Bryce shocked and devastated.

For instance, in February 2023, the hosting giant disclosed that unknown attackers stole source code and installed malware on compromised servers after breaching its cPanel shared hosting environment in a multi-year breach.

I assumed their security for this was to keep shuffling around their web site to make that cPanel stuff impossible to find? It’s like a store that keeps rearranging their floor inventory. I dread having to do anything with cPanel. Kudos to the hackers who managed to work it out.

I’ve seen more bald eagles of late and I’m in Canada. Are they fleeing for some reason?

At least the Canada geese are going the other way. Those things are the devil! Chasing after me on my bike hissing…

Interesting. I had never heard of LilyPond before. I do a lot of music scoring using abc notation and even wrote myself a GUI to help with that, but it’s interesting to see that there is another script language for generating sheet music.

I can’t speak for others, but the python3 transition wiped the smile off my face for awhile there.

I suppose it depends on the language? For the most part I think you’re right. Exceptions are only used (if at all) in situations where a program diverges unexpectedly from its normal flow. But take a language like Python. They’re just everywhere. Even your plain old for loop ends on an exception, and that’s just business as usual.

Awesome. I will add it to my list of places I want to visit just based on name alone. A few others include Batman, Turkey, Shitterton, England, and Saint-Louis-du-Ha! Ha!, Québec.

If you haven’t been there yet, OneZoom is fun to explore. I am continually surprised by what I find there going down some random branch.

But the mining, milling, and production of nuclear fuel, as well as the construction and decommissioning of nuclear plants, emit greenhouse gases at levels ranging from 10 to 130 grams of carbon dioxide per kilowatt hour of power — lower than fossil fuels but higher than wind and hydroelectricity (and roughly on par with solar).

That’s interesting. The article they link gives a bit more detail:

These energy intensities translate into greenhouse gas intensities for LWR and HWR of between 10 and 130 g CO2-e/kWhel, with an average of 65 g CO2-e/kWhel.

While these greenhouse gases are expectedly lower than those of fossil technologies (typically 600–1200 g CO2-e/kWhel), they are higher than reported figures for wind turbines and hydroelectricity (around 15–25 g CO2-e/kWhel) and in the order of, or slightly lower than, solar photovoltaic or solar thermal power (around 90 g CO2-e/kWhel).

The wide range for nuclear apparently comes from difficulties in estimating the carbon footprint of mining/processing the uranium, but that nuclear is sort of in the middle of the pack in carbon footprint relative to renewables in spite of the fueling costs is good to know.

I suppose these sort of numbers may change dramatically in years to come. Take solar. A lot of focus seems to be on the efficiency of panels, which would almost certainly lower the carbon cost per unit of energy as it improves, but a breakthrough in panel longevity would also do that in an amortized emissions sort of way.

Looks gorgeous! Thanks. You’ve got me exploring what there is to explore. :)

Wow that looks so involved! Will definitely look into this.

Any recommendations on games using this engine? I’ve been playing Java Edition again lately but am always open something new.

I find as I get older and my vision is not what it once was, I need bigger screens with good contrast but don’t care so much about resolution. I think it was on the show Corner Gas where they were talking about how big a screen you should get and concluded the size in inches should match your age. That made me laugh but I have to confess now there may be some truth in that…

This could be why Obiwan wound up a hermit? (Programmers of my generation at least talk about “Obiwan errors” because his name sounds like “off-by-one”.)

They’re going to keep making more powerful hardware either way, since parallel processing capability supports graphics and AI just fine.

It’s not quite as simple as that. AI needs less precision than regular graphics, so chips developed with AI in mind do not necessarily translate into higher performance for other things.

In science/engineering, people want more—not less—precision. So we look for GPUs with capable 64-bit processing, while AI is driving the industry in the other direction, from 32 down to 16.

Something to be said for the wfh movement too.

I thought I read somewhere that when they were making one of the Toy Story movies, there was some catastrophic data loss that nearly tanked the whole production. But then one of the animators came back from maternity and said wait, I think I have most of it synced to my home server? And the next thing you know, John Lasseter himself is barrelling down the highway to her place and it turned out yeah, she did have it.