Septimaeus

Sorry, I whooshed. Does this imply a conspiracy to keep cancer research secret?

Oh that’s the one in the back.

/j they’re about 2.5T

If withholding doesn’t match tax burden

AND difference exceeds the $1500 quarterly buffer. That is, you only owe penalties if your withholding is more-than-a-little off in your favor.

I mention that because it’s an important detail for a useful tip re: filling w-4s. Since the withholding percentage is just an estimate based on that form, including the number of allowances you specify, it’s usually a good idea to “tune” that number to prevent over-withholding and, preferably, err somewhat in your favor.

It’s better to owe taxes on your return. If the IRS owes you, it means you inadvertently gave them an interest-free loan last year.

Sorry, friend. No one escapes The Bees.

Oprah-bees.gif

Glad you got that off your chest.

I’ve always used wooden toothpicks because

1. Common
2. Made from cheap soft wood: more likely to deform or destruct against metal than most plastics
3. Cut with the grain: especially soft to anything raking against the sides (like delicate pins)
4. The uneven “splintery” sides happen to be pretty good at snagging tiny fibers of lint to pull them out as one big ball, requiring fewer swipes

More techniques:

• clean with port facing straight down to get gravity assist
• blow across the opening of the port: mild negative pressure + agitation inside cavity vs blowing directly into port (which is generally warned against explicitly)
• focus on “pinning” lint up against each of the two corners and holding gentle pressure during extraction: these corners of the port have no exposed pins, and happen to be where lint tends to accumulate anyway

I assume it’s meant to poison data scraped for AI training. I’m not sure it works** but I don’t think they’re just trying to be an ass.

** E: mainly because a lot of DE time is devoted to prepping training data and we’re especially good at automatically correcting minor and consistent aberrations (common typos and other transcription errors) in large datasets

Surely it must be one or the other.

Yeah, we have “every great fortune” truisms to that effect. I just can’t help feeling that his case is special. Somehow even worse than Zuck. Haven’t put my finger on it.

Maybe it’s because what he fed into the monetization machine was community itself? Or because it was such a direct betrayal of the open ethos at the core of the original platform? I’m not sure.

At some point I realized that I feel sorry for this guy. Even assuming he grows up enough to realize what he did, if he reforms, if he becomes like-able enough to make real human connections, if they’re disconnected enough to not know how he made his billions, still they will eventually learn the true story from someone and won’t ever see him the same again.

Try as he might, he will never escape his betrayal, because there is no next-town-over at such a scale of global connectedness. He is doomed to, at best, acquire friends that are like him, which is to say he will never have any real friends again until the day he dies. It’s a cautionary tale as old as time and yet he chose it. He chose the truest form of poverty we know.

Yarr, welcome to the upside down mateys. Here thar be self-referential dissonance that will straighten yer toes.

On top of that, surrounding yourself with fake experts (chosen specifically for their willingness to say anything you want to hear) seems like a great way to never know what’s actually going on.