Copy pasting my reply from the last time this came up:

Check how nearby colleges and universities dispose of used assets. The state school near me maintains a very nice website where they auction off everything from lab equipment to office furniture. It’s also where all their PCs go when they hit ~5 years old and come up in the IT department’s refresh cycle. The only problem in my case is that they tend to auction stuff in bulk. You can get a solid machine for $50 to $100, but only if you’re willing to pay $500 to $1000 for a pallet of 10.

I looked into it a while ago but I gave up on the idea after realizing how few programs can actually run on one. There’s no “reverse VM” software that allows you to seamlessly combine multiple physical machines into one virtual one. Each application has to be specifically designed to take advantage of running on a cluster. If you’re writing your own code, or if you have a specific project in mind that you know supports cluster computing then by all means go for it, but if you’re imagining that you’d build one and use it for gaming or video editing or some other resource intensive desktop application, unfortunately it doesn’t work like that.

The AI hype has become so stifling that I can certainly understand the knee-jerk reaction that many are having, but at the end of the day it’s just math. It’s a tool which, like all tools, can be used for good or bad. If you’re interested, I’d highly recommend looking into the story of AlphaFold. You can find some really good long form articles that have been written about it. It’s not only a truly impressive technical achievement, but also one of the few technological breakthroughs in recent memory that is (at least as far as I can tell) truly, indisputably, good for humanity.

Your thoughts are very similar to mine. The usefulness of machine learning to bridge the gap between the endlessly messy real world and the strictly regimented digital one can’t be overstated, but throwing all your problems into an LLM chatbot is never going to yield good results. Case in point is the AlphaFold project which used AI to basically solve one of the hardest problems in modern biochemistry. They didn’t do it by asking ChatGPT to “please fold this protein for me” they did it by assembling a multi-disciplinary team with a deep technical understanding of the problem and building a fully custom machine learning system which was designed from the ground up for the sole purpose of predicting protein structures. That’s applied AI. All these so-called AI startups who’s product is basically a coat of paint and a custom system prompt on the ChatGPT API are nothing more than app developers chasing the latest trend.

Incidentally, I had a very similar experience to your “Exchange Server / Exchange Online” problem. I was asked to make updates to an old VBS code base, and VBS is a language that I have neither experience with nor interest in learning, so I was using a chatbot to try and save a few minutes on some super simple beginner level questions. It kept confidently spitting out answers for VBA code, which is similar to, but very much not the same as VBS.

For anyone else who’s never heard of hydrogen reduced steel before, here’s the gist as far as I could understand from a quick web search:

Raw iron ore is usually mined as iron oxide. To make that into metallic iron, you need a way split up the iron oxide molecules and carry the oxygen atoms away. This is traditionally done in a blast furnace using coal. In addition to being burned as fuel, the coal also provides carbon atoms, which will rip the oxygen off the iron and use it to form carbon dioxide instead.

The hydrogen reduction process proposes to substitute hydrogen for carbon. This changes the byproduct from carbon dioxide to dihydrogen monoxide, AKA water.

Absolutely. I’m as skeptical as anyone of companies cramming AI where it doesn’t belong, but this story is just Hertz being a shitty company and using AI as a scapegoat. Anyone with two braincells to rub together knows that when you’re implementing a new automatic system like this, you start out with the sensitivity turned way down and give human employees an easy way to override its rulings.

I’m happy to believe that the people running Hertz are dumb, but there’s no way they’re that dumb. They did this on purpose because they knew it would make them a ton of money in bogus fees, and they could just shift all the blame onto the AI.

No Man’s Sky

Isn’t this the one that crashed and burned on launch, but the devs owned their mistakes and put a ton of work into patching and upgrading? What a fuckin redemption arc for it to end up on this list unironically.