benignintervention

When they announced new star wars like 10 years ago I really hoped for a Kyle Katarn story. Seeing what they’ve done though I’m glad they left him alone

Catching strays

Watch videos and read some articles about it. There are different edge angles for different use cases, but you’ll generally aim for 20-25°. For things like razors and kitchen knives you’ll want a straight grind/edge and for more heavy use knives a slightly beveled edge is okay. Low grit is for large corrections like burrs and blunt spots. Those kinds of corrections will take a lot of time and you’ll want to look for uniformity before moving to higher grits for a sharper edge and eventually polish. Highly recommend starting with an angle tool and going slowly with a knife you don’t really care about. Work on keeping your angle and pressure consistent and don’t press down very hard. If you apply too much pressure you’ll damage both the edge and stone, especially for softer (higher grit) stones. Check your work regularly to make sure the edge is consistent, you’ll see it pretty clearly under a light. It takes practice. I’ve been freehand sharpening for about 20 years and I still mess up sometimes.

My biggest tip is regular maintenance! I clean and do a few passes on 3000 grit with my kitchen knife every time I use it and it’s been my sharpest knife for 10 years. And clean your stone! Residual steel will build up, making the stone less effective and also risking damage to the edge.

“is it web scale?”

There’s some debate on this! Most movie dialogue is designed to convey the impression of conversation, but this is naturally unrealistic. People stutter and start over and get distracted in normal conversation much like you described, which can become very burdensome on the screen. Like when your boss won’t get to the point in the standup. Overly precise dialogue is equally burdensome and often fails to maintain attention (see: the Time 1776 AI videos). A lot of the discussion around how best to balance those natural pauses and disruptions around the otherwise “eloquent” speech in movies to best convey a characterization.

I’m sure others out there can point to legitimate sources, but I’m not super read up on it

Do my 600 applications mean nothing?!

(Yes, they in fact mean nothing)

Well I just dumped windows and MS office. For machine vision I’m only dabbling with openCV, so that’s already open source. The switch to libre office has been pretty nice though

Pulse Water Modulation

Cool thanks, I’ll stick with it! At least until I’m familiar and want to try something new

No worries, it’s all part of the experience

Hmm, okay. Yeah I was trying to set up an environment to dabble with machine vision and had trouble finding good instructions or guidance for programming env setup. I think in college we used something-Unix but it’s been so long I don’t really have a frame of reference anymore. So I’m looking for a low-overhead daily driver that’s also relatively common or amenable to maker communities

If that makes sense.

Damnit I just switched to Ubuntu. That explains why I kept getting lost. What about Debian?

It’s almost a concept of a plan

It’s kind of a disingenuous comparison in the video, but I understand why he did it. The one that settles slowly has no dampening, either fluid or an inductive plate, because he set its initial position by hand. Can’t really do that if it’s in a fluid, although he could have compared in other ways, like setting the initial position with another magnet or comparing to another induction dampened compass and emphasizing that you can see through his.

I had a boss that did this quarterly meeting where he’d schedule two full days to review everything he heard piecemeal once a week and it always ended up taking 3 and a half days. It was hell and we all hated it. The whole office had to sit in it, no one got any work done, and most of us fell asleep. No decisions were ever made and it was just to give himself the feel goods about telling his boss he knew what was going on.

Horrible boss. The running theory in the office was that he hated his family and didn’t want to go home

The downdetector comments have descended immediately into utter madness

Here, I found the video

It’s youtube because I couldn’t find it anywhere else. But I think it addresses some of your points. The biggest point it makes is that at the same time that the greater economy lost 3 million jobs (or had that many layoffs), the gig economy gained roughly the same number of people.

I saw a breakdown the other day postulating that the true unemployment rate is masked by the gig economy, because people are more likely to drive Uber than file for unemployment