I mean, the government could run at a surplus and therefore not need to borrow money and start paying back the loans.

Its not really a ponzi scheme, but more that the US government has decided that it’d rather increase its debt rather than reduce spending.

As to OPs question. I think he’s referring to taxes and government benefits, but is discounting the fact that taxes are not the only source of money for the government, through bonds the government accrues debts that can exceed the amount collected in taxes.

I had someone swear to me that Github templating was better, but I’ve only worked with Gitlabs templates. Why do you like Gitlab over Github?

If you have specific games in mind you can check out this site emuready.com. That let’s you filter by device or cpu to see how well games play, sorta like ProtonDB for Linux emulation.

I think the biggest issue is, are you looking sub $200 before shipping+tax or after. For example I think the Retroid Pocket 5 is supposed to handle gamcube pretty well, but thats $200 just for the device.

The biggest issue for me with the Xperia Play was that the lack of thumbs ticks kept it stuck as an emulator for retro consoles (it could play ps1 and N64 games, but inputs held it back). This will fall into the same spot, where you can only really play games that don’t require a thumbs tick. So if it’s your daily driver, you end up with a device that’s making sacrifices as a phone and gaming device.

I still liked my Xperia Play, but I don’t think I would have recommended it to people.

I was going to ask how this is different than a Reinforcement Learning algorithm but then they called out Deep Minds Alpha-Go

Robotron 2084 - there is a place by me that still has the arcade cabinet.

I mean, you also had pretty low quality TV and home media, anything beyond 32 inches wasn’t doing much good for you.

I assume because it’s cheaper and easier, but I was surprised to hear that too.

Not sure how real this survey is, but they say 83% of households do a fake tree.

https://wror.com/2025/11/18/fake-christmas-trees-are-preferred-over-real-trees-by-a-big-percentage/

Use Google Collab or another web hosted platform. If you’re unfamiliar Google Collab is a part of Google docs that you can run Jupyter Notebooks on (and it’s free). This avoids the need for anyone to install anything and means you can test materials in the same environment everyone will run against.

Additionally, Jupyter notebooks makes it easy to add markdown, so instructions can be in stylized format and the students can run the cells over and over again to see how the output changes in real time.

Lastly, I would lean towards python, but there are many different languages supported in Google Collab and similar web hosted tools.

The top comment in the posted image is just stupid, food takes work, like a lot of work. Whether the land is private/public/something else, it takes a lot of work to maintain a steady supply of food.

Funnyjunk? Just checked and it’s still around, not sure if it matches what you’re looking for.

I mean, it kinda depends on your mental model. If you think the AC is “low” as in not running a lot you can turn it “up” so it’s making things colder.

To add another layer, I actually run it as a container - Steam Headless

I have one machine where I run steam as a headless instance as I just use it for remoteplay to the TV.

All of them. If you’re seeing sources cited, it means it’s a RAG (LLM with extra bits). The extra bits make a big difference as it means the response is limited to a select few points of reference and isn’t comparing all known knowledge on a subject matter.

Thanks for the details, seems like that may be why the older Chromecasts are still supported.

I thought for Chromecast the “casting” part is just telling the Chromecast what to play. Do you need your phone on while Chromecast shows content?

Another one is “Just cause you have nothing to hide today, doesn’t mean you won’t tomorrow.”

Especially looking at the US, the assumption that what is worth hiding can’t change is dangerous. You’re comments/conversations that are legal today may be used against you in the future.

Just a note, I’m pretty sure Arm is only “efficient” in low power modes. I’m not sure there is much (if any) energy saving when running heavy loads.

For example, running heavy ML workloads on a Apple Silicon still burns through battery.