

I was like you, until my mid-30s hit
Now buffalo wings will have me waking up at 3am with acid reflux even though I didn’t even register spice while I was eating them 6 hours earlier


I was like you, until my mid-30s hit
Now buffalo wings will have me waking up at 3am with acid reflux even though I didn’t even register spice while I was eating them 6 hours earlier


Sounds like a prank I would have pulled on a roommate back in college (e.g. change desktop background to a screenshot of desktop, and then delete all the shortcuts)


Not an American, but basically decide how much risk you want to take on - then depending on that answer set aside money (0-40%) for safe investments - things like bonds (guaranteed returns) or potentially gold (lower volatility). The rest goes into a 80/20 (or 60/40, or 90/10, no one can say what’s best) split between domestic and international index funds. Things like the S&P500, Dow, and US whole market index, and then some into EU, Asia/Oceana, and emerging market index funds.
OP said it was to notify you when an alarm went off, not when it ran out of batteries.

It’s been around for a long time. It was very popular back in like 2017, but fell off because it’s value proposition was “we are a shitty fork of the Litecoin codebase with a few constants changed (which was in itself a shitty fork of the Bitcoin codebase with a few constants changed) and no other meaningful changes”

Do your research.
https://www.coinlore.com/coin/digibyte/richlist
1000 people hold 66% of all digibyte in existence lol


If the code doesn’t change, the resulting docker image will have the same hash, and a new image won’t be created
https://github.com/jackett/jackett/releases
Jackett is literally just releasing a new version every day


The content of the email is very laissez-faire, e.g. "we legally have to send these ¯\_(ツ)_/¯ "


I collect these like pokemon 🙃



An absolute bastard of a workout will use up maybe 100 on top of that
An hour run burns like 600


I run a half marathon 1-2 times a month, and the costco poutine (2000+ calories) really hits different when it’s guilt free
Things like gradient boosting, supervised + reinforcement learning, NLP (sentiment analysis), etc have been used in algorithmic trading for decades.
Hell, much to the chagrin of statisticians, some people even lump linear regression under the AI umbrella
Also I think you are confusing fundamentals and technicals