Why is this a thing to be surprised by? How many of the tech industry's biggest corps were started by college drop outs leaving them with no degree? The fact that they put needing a degree in the requirements for their job listings is something that has always been laughable to me. A degree pretty much just that you are more than likely in debt beyond belief and you didn't have much else to do so you kept with it long enough to finish. That's probably a bit cynical, but we all make fun of MBAs while cherishing CSE degrees??? Put someone to work that shows they can do the work regardless of having or not a sheep skin. If they can't cut it, get rid of them and do it again.
When you had no electricity to produce light pollution, when you have no TV, printing press, or any other thing to distract your attention, you had plenty of time to look at the night sky. When that also means you didn't have a way to have a shared calendar, you paid more attention to the sky to know when the seasons were changing. When the changing of seasons were key into surviving, you gave it a lot of importance. It's hard to put that into perspective when we can just look at an app to see the specific time/date of astronomical events well into the future.
>offset buying a new one every one to three years?
Isn't that precisely how leasing works? Also, don't companies prefer not to own hardware for tax purposes? I've worked for several places where they leased compute equipment with upgrades coming at the end of each lease.
Who wants to buy GPUs that were redlined for three years in a data center? Maybe there's a market for those, but most people already seem wary of lightly used GPUs from other consumers, let alone GPUs that were burning in a crypto farm or AI data center for years.
who cares? that's the beauty of the lease. once it's over, the old and busted gets replaced with new and shiny. what the leasing company does is up to them. it becomes one of those YP not an MP situations with deprecated equipment.
Depends on the price, of course. I'm wary of paying 50% of new for something run hard 3 years. Seems an NVIDIA H100 is going for $20k+ on EBay. I'm not taking that risk.
That works either because someone wants to buy old hardware for the manufacturer/lessor, or because the hardware is EOL in 3 years but it's easier to let the lessor deal with recyling / valuable parts recovery.
> Anyway, it is important to remember that if you're actively on HN, you're not a normie and you probably have a very skewed view of what normies do and use.
And what if you're on HN and don't use what other are using there? I don't use AI. I don't use social media. I don't use JS frameworks. I don't use Go or Rust. I bang out HTML/JS/CSS by hand in an editor that is not VSCode when I write UIs. I also don't use Docker. Am I even allowed here?!
Yes, you are in fact absurdly overrepresented on here, not just compared to general populace but even in tech -comparison would e.g. be techy subreddits. Ironically proving GP's point pefectly.
For the longest time, I kept the sheet of foam that comes with the new laptop. Eventually that got lost. I then picked up a pre-cut bit of microfiber that fit the laptop and thin enough to allow for full closing. Once you get in the habit of remembering to put the cloth back before closing the lid, you'll be amazed at your screen's lack of oils.
Don’t let lack of familiarity keep you from exploring. More and more tools/apps are available like TFA that lets you find things without knowing about them before hand. There’s no better way to learn than diving into the new to you object you just images all night. Don’t let some one tell you that you have to know an object intimately before imaging. How you progress through your journey in astronomy is up to you. Keep looking up!
The funny thing is that I personally have ended up creating a "large" google sheet with all the Messier objects which my rig could image, and added a column for "when" to image (i.e., spring, etc). It's served me quite well.
As I said in another comment, a true killer feature would be to image my yard, with all the obstacles blocking the sky, and intersecting the available sky space with the trajectories of those objects, and use that info to actually tell me what I can image.
You don't need to image your yard. That would be pretty overkill and would limit the use of the app from allowing its use if you took your gear to a new location.
Instead, you should just figure out what the degrees of the top of your blocking items are and set that as a limit. If the tops of trees mean something needs to be at least 30° above the horizon, then use that value. If your neighbor's house means it needs to be 60°, then use that value. Being allowed to say 30° to the east, 60° to the west, etc would be even better. Imaging your yard and having to decipher all of that would be way overkill and totally unnecessary.
What happens if there are multiple cities with the same name. Maybe this is a US specific problem, but there are many states with cities of the same name from another state. As a few examples:
If you just type "Salem" for the city, it just picks one and goes with it. If you type "Salem, Oregon" vs "Salem, MA", it gives the desired result (at least for the cases I've tried), and then uses your input text as the caption.
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