From what I understand, you could un ironically do this with a file system using BTRFS. You’d maybe need a udev rule to automate tracking when the “Power Ctrl+Z” gets plugged in.

If it’s a single, generated, “initial” commit that I actually want to keep (say, for ex I used the forge to generate a license file) then I would often rebase on top of it. Quick and doesn’t get rid of anything.

Thank you!!!

Doo you happen to have a good, informative link? Or perhaps a company name I could look up?

This sounds incredibly cool.

The whiplash from the two titles in your second pic really hit me hard

Why do we even need a server? Why can’t I pull this directly off the disk drive? That way if the computer is healthy enough, it can run our application at all, we don’t have dependencies that can fail and cause us to fail, and I looked around and there were no SQL database engines that would do that, and one of the guys I was working with says, “Richard, why don’t you just write one?” “Okay, I’ll give it a try.” I didn’t do that right away, but later on, it was a funding hiatus. This was back in 2000, and if I recall correctly, Newt Gingrich and Bill Clinton were having a fight of some sort, so all government contracts got shut down, so I was out of work for a few months, and I thought, “Well, I’ll just write that database engine now.”

Gee, thanks Newt Gingrich and Bill Clinton?! Government shutdown leads to actual production of value for everyone instead of just making a better military vessel.

Ooooh, that’s a good first test / “sanity check” !

May I ask what you are using as a summarizer? I’ve played around with locally running models from huggingface, but never did any tuning nor straight-up training “from scratch”. My (paltry) experience with the HF models is that they’re incapable of staying confined to the given context.

I’m not sure if this is how @hersh@literature.cafe is using it, but I could totally see myself using an LLM to check my own understanding like the following:

1. Read a chapter
2. Read the LLM’s summary of the chapter
3. Make sure I can understand and agree or disagree with each part of the LLM’s summary.

Ironically, this exercise works better if the LLM “hallucinates”; noticing a hallucination in its summary is a decent metric for my own understanding of the chapter.

Reminds me of Zdzisław Beksiński’s oil paintings.

four year aged

🤤

It just takes a little effort to filter to see and reach the right people’s content. Otherwise, I don’t think completely withdrawing would be very beneficial in my industry and the era I live in.

I have been thinking about this a lot. Wrestling with how much consumption I can allow myself to sustain, and how much I can allow myself to abstain from.

As more and more of the world around me is interfaced with through machines and/or the internet, I can’t just “take a break from computers” for a few days to give my brain a break from that environment anymore. From knowledge to culture, so much is being shared and transferred digitally today. I agree with the author that we can’t just ignore what’s going on in the digital spaces that we frequent, but many of these spaces are built to get you to consume. Just as one must go into the hotbox to meet the heaviest weed smokers, one shouldn’t stay in the hotbox taking notes for too long at once because of the dense ambient smoke. Besides, how do you find the stuff worth paying attention to without wading through the slop and bait? The web has become an adversarial ecosystem, so we must adapt our behavior and expectations to continue benefiting from its best while staying as safe as possible from its worst.

Some are talking about “dark forest”, and while I agree I think a more apt metaphor is that of small rural villages vs urban megalopolises. The internet started out so small that everyone knew where everyone else lived, and everyone depended on everyone else too much to ever think of aggressively exploiting anyone. Nowadays the safe gated communities speak in hushed tones of the less savory neighborhoods where you can lose your wallet in a moment of inattention, while they spend their days in the supermarkets and hyper-malls owned by their landlords.

The setup for Wall-E might take place decades or centuries from now, but it feels like it’s already happened to the web. And that movie doesn’t even know how the humans manage to rebuild earth and their society, it just implies that they succeed through the ending credits murals.

Congrats for sticking it through!

Math underlies programming in a similar fashion to how physics underlies automobile driving. You don’t ever need to know about newton’s laws of motion to pass your driver’s license and never get a ticket until you die. At the same time, I will readily claim that any driver that doesn’t improve after learning about newton’s laws of motion had already internalized those laws through experience.

Math will help your intuition with how to tackle problems in programming. From finding a solution to anticipating how different constraints (notably time and memory) will affect which solutions are available to you, experience working on math problems - especially across different domains in math - will grease the wheels of your programmer mind.

Math on its own will probably not be enough (many great mathematicians are quite unskilled at programming). Just as driving a car is about much more than just the physics involved, there is a lot more to programming than just the math.

Not at all. I don’t even know if the devs have already considered it and decided against releasing it with such functionality.

Not from the platform, but you can control what the landing bay on the surface requests with circuit connections.

I would try to dump the asteroid chunks instead of excess ore - you’re paying electricity to crush chunks and then potentially throwing away the output. Of course, if you’re avoiding circuit conditions then there’s not much better way than to throw the excess ore, plate, etc off the back.

In case you haven’t found out yet, it’s the landing pad. Better quality ones have a greater radar range/radius.

cliff explosives are all the way down the tech tree now

Kinda. You do need to get off-planet and land on a different one, but (imo) it’s the most accessible of the new planets. You definitely don’t need to go all the way down the tech tree.

I wonder what other applications this might have outside of machine learning. I don’t know if, for example, intensive 3d games absolutely need 16bit floats (or larger), or if it would make sense to try using this “additive implementation” for their floating point multiplicative as well. Modern desktop gaming PCs can easily slurp up to 800W.

“I need some more [input] sanitizer for my eczema script, the console is red and inflamed whenever I check it.”