Sounds like you need to download pretty much everything ever written on mathematics, physics, biology, and medicine. That info dump would also have to include a bunch of stuff that hasn’t even been invented yet, and probably won’t be within the next 500 years.

Once you have all that in your mind, you’ll be incredibly frustrated that modern day technology is at least 500 years away from what you actually need. You would need to build a bunch of quantum electronics fabrication factories so that you can build the real factories that actually produce the machines you need for assembling the very first brain reading and recording machine.

Although, since you have all that revolutionary science and tech in your head, you should use that to fix global warming, world hunger, cancer and a bunch of other stuff so that you can raise the trillions of capital needed for building the main project.

1. Use a square bowl placed on top of a circular plate.
2. Add 11 parts water, then 2 parts cereal, using a mix of ancient Babylonian and traditional Japanese volumetric units (bonus points if you don’t actually convert them).
3. Heat in the oven at 709 °R for exactly 73,037 ms. (Is that a decimal or thousand separator? Ask your local mathematics teacher.)
4. Once heated, let it cool to exactly room temperature by placing it outside (regardless of the weather).
5. Add a generous layer of cold ketchup on top, forming a smiley face.

Optional: Garnish with a sprig of mint and serve with a side of existential dread. Bon appétit!

In a colder climate you would call that a cellar. Traditionally, you would put things like potatoes, pickles and raspberry jam in there, but in the LA heat that might not work so well.

Try to maintain a safe distance of at least 30 m at all times. If you’re stuck with her in the same room, ask lots of work related questions and keep the conversation strictly professional. Dry work stuff only. The more boring the better. As soon as the conversation is about to go off the rails, steer it back.

All debt? Does that include companies too?

They’ve borrowed at least billions to grow their businesses, and that sort of money won’t just disappear without a trace. In this case, the trace would probably include economic instability of some sort. There’s a reason why central banks use interest rate to influence borrowing and inflation.

I would go back to the time when I got my first computer and write myself a long message from the future. It would contain things like:

• Make several backups of this list and review it every year.
• Watch out. Some people are really toxic. (list of people to avoid)
• Know yourself, and act accordingly. (list of traits I have, but haven’t realized or fully understood at the time)
• Be careful. (list of minor accidents that could potentially happen in the future)
• Be mindful of important decisions. (List of some big decisions that turned out to be good, bad, great, awful etc.)
• You can do it 👍 (encouraging words)

The universe feels like a pretty whimsical place, so why not? Might as well try it out. If it sucks, you can always let everything crash into a singularity and start over.

Don’t feed the trolls.

The arrowhead sounds more viable. The oldest ones can be thousands of years old, and the prices are all over the place. Fancy ones cost a fortune, while a badly beaten one will be well within the budget.

Just like everyone else: APIcalypse and enshittification of Reddit.

I think the real question is: Why a social news aggregation content rating forum instead of any other type of social media?

If I cared about people, I would be spending my time on Mastodon. Since I care more about specific topics, I’m here on Lemmy instead. IMO, the structure of conversations is also much nicer and more readable here on Lemmy.

Thanks for the answer. 👍

6 posts and 0 comments? My guess is, I can type in here absolutely anything, and you won’t reply. You’re asking questions, but do you even want to hear the answers?

It was originally sea water, but a few billion years go it went bad. After that, it’s been just as bad as the day it crystalized. Fortunately though, you can fix that very easily. Just add water.

That would have been handy when playing pokemon go.

Here’s one way you could have used it. You drive your car to a remote location. You grab your rifle and your dog, and go hunting. You mark the location of your car on the GPS and start walking. In the evening, you can use the GPS to find your way back to the car. You could also go hiking and use the GPS to find your way back.

The whole point is to mark locations and later find your way back those locations. In the era of geocaching you would have made a custom point of interest and input the coordinates manually before actually visiting the location.

This device actually shows you lots of information you rarely need these days: direction, speed, distance, coordinates, signal strength, just to name a few.

Oh, and some backpacks have a hole for headphones. I guess you’re supposed to keep a CD player in there or something.

A coat with a phone pocket. If you have something shaped like a Nokia 3210, you can actually use that pocket. Modern phones are the exact wrong shape to fit in there.

A Minidisc player. First, music went to mp3 players and then it went completely online. Fortunately I sold that thing while it still had some value.

A battery powered GPS device. It’s just for navigating in the forest, and nothing else. It doesn’t even have a map, so it’s pretty useless while driving.

Tl;DR the poultry industry is bad

Source: an animal rights group called Animal Equality

Seriously though, there are lots of reasons why there’s so much death, but the reasons can be summarized like this: Manufacturing cheap food at an industrial scale results in many unethical choices.

Yes there are, but would it be possible to replace them with ML and get more accurate predictions?

Yeah, that’s pretty impressive. I wonder if you could apply the same philosophy in other areas too. Instead of training the model with data produced in a simulation, you could just feed it real world data instead. Like, if you gave a bunch of stress-strain data to a model, could you make better predictions about the behavior of physical structures, such as bridges and towers.