Are we talking OpenCore Patcher? I was actually planning on trying that for my Early 2013 MBP, but I’m leaning more towards some Linux distro now, for the longevity of it, though I haven’t yet figured out which distro supports my MBP the best. Got any recommendations to share on some of this?

If you’re on the tracker known as TL, three seasons seem to be there with the IDs 2003717, 2003718 and 2003719.

That’s why they add the 5G to the railways, es ist ja super schnell!

Cool! So, when is the first bootcamp?

You never know. It could be New Mork or North Makota, Nest Mirginia or even Nomtana

I mixed the two up

How did that go? Was it useful for anything? It sounds like some old practical advice:

Thoroughly mix 2 tablespoons of vaseline with 1 teaspoon of lemon juice and smear it on your penis just before sunset. That will keep the mosquitoes at a distance throughout the night.

Yes, but why? Are they in place to protect the spinning rust when you hard drive the car? Or has it something to do with cracked Windows and a missing driver?

I’m always being extra careful around those computers on wheels, since most of them have a built-in backdoor!

Fuel for thought…

Time is funny

I’ve figured out the swimming again, but I still don’t fully understand economics…

Paywalled

A mask to protect you from illness, surveillance, or both?

Kvaesitso has tags. Each app can have multiple tags, and selected tags can be pinned (somewhat like a tab) to favorites, possibly resulting in something a bit like drawer tabs? You can also use the search bar to search for a tag and list the tagged apps.

I use tags like #stream #media #video #audio #download #p2p #torrent #tools #navigation #maps #transport #social #chat #messenger #sms #appstore #files etc. and often I add multiple relevant tags for better brainless searchability, though only a few general useful tags are pinned to the favorites section (e.g. #stream #files #chat and #tools).

Since we first got easy access to various LLMs, I’ve been doing the opposite, asking obscure questions I know the answer to, trying to get a better understanding of what various models are really (not) capable of, and what data they’re (not) trained on, but it seems that you’re right and I’m in a minority. Most people treat the only LLM they know of as an oracle, and don’t seem to understand that it can write with confidence and still be incorrect. I’ve seen countless examples of just that, some funnier than other, so to me it has always been very obvious. It’s possible that using GPT-2 (back in the talktotransformer days), which was not configured for chat-style conversation but rather just to generate a continuation to the user’s input text, has actually helped me understand LLMs better and avoid using them in that common naive way, but I’m not sure how to make it just as clear to everyone else…

That’s my experience with a 3B+ as well, running LibreELEC. H264 it is, all the way. Older codecs work too.

Tak for mengder av info(skjermer), AV spiller!

You said my line!

That doesn’t really matter, since 8 out of 5 people suffer from dyscalculia.

Thank you, you really didn’t have to. That cupcake is truly the icing and it’s almost too much! I’ll give you this giant egg of unknown origin: 🥚 in return, as long as you promise to use it for baking and making some more of those cupcakes for whoever else needs or deserves one within the next few days, hours, minutes, seconds, milliseconds and 999999 bananoseconds 🍌

I want a free cookie emoji!

I didn’t ask an LLM, no, I asked Wikipedia:

The mean month-length in the Gregorian calendar is 30.436875 days.

Edit: but since I already knew a year is 365.2425 I could, of course, have divided that by the 12 months of a year to get that number.

So,

1041 ÷ 30.436875 ≈ 34 months and…

0.2019343313 × 30.436875 ≈ 6 days and…

0.146249999987 × 24 ≈ 3 hours and…

0.509999999688 × 60 ≈ 30 minutes and…

0.59999998128 × 60 ≈ 35 seconds and…

0.9999988768 × 1000 ≈ 999 milliseconds and

0.9999988768 × 1000000 ≈ 999999 nanoseconds

34 months + 6d 3h 30m 35s 999ms 999999 ns (or we could call it 36s…)

Edit: 34 months is better known as 2 years and 10 months.