Are you sure it was the zipper?

> So it was never about security at all then, was it?

Never was.

I flew every other week prior to covid and haven't once been through the scanners. For the first ~6 years, I opted out and got pat down over and over again.

Then I realized I could even skip that.

Now at the checkpoint, I stand at the metal detector. When they wave me to the scanner, I say "I can't raise my arms over my head." They wave me through the metal detector, swab my hands, and I'm done. I usually make it through before my bags.

Sometimes, a TSA moron asks "why not?" and I simply say "are you asking me to share my personal healthcare information out loud in front of a bunch of strangers? Are you a medical professional?" and they back down.

Other times, they've asked "can you raise them at least this high?" and kind of motion. I ask "are you asking me to potentially injure myself for your curiosity? are you going to pay for any injuries or pain I suffer?"

The TSA was NEVER about security. It was designed as a jobs program and make it look like we were doing something for security.

I like the opposite too, -commit or -execute as it is assumed running it with defaults is immutable as the dry run, simplifying validation complexity and making the go live explicit.

Doesn’t surprise me. I frequently shop at Amazon Fresh in store and it’s a mediocre experience. It’s a poorly run store with no visible manager making sure things are in order. You constantly have to work around employees fulfilling online orders and they aren’t helpful. I always find expired groceries/produce on the shelf so I have to spend a lot of extra time inspecting each item. The only reason I put up with their nonsense is that some of their prices are insane and they have easy returns, for example $0.85 for a box of Barilla pasta. They actually don’t accept returns in store and just refund you automatically in the app (Returnless returns). It’s pretty silly and rife for abuse.

I also found a loophole with the Amazon.com return grocery credit. The systems are separate for the $10 off $40 coupon and you just scan a QR code in the store to get it. It turns out you can just take a photo of their QR code and reuse it over and over again.

Thankfully you were in Switzerland rather than the states, I just never see American police caring about that.

Video is great, came up in my youtube recommendation cycle last week.

Honestly one of the better things youtube has pitched to me, the quality/relevance of the rest of its recommendations have been nose diving over the last year (or so it feels).

Not a single mention of planning poker and story points?

They're not perfect (nothing is), but they're actually pretty good. Every task has to be completable within a sprint. If it's not, you break it down until you have a part that you expect is. Everyone has to unanimously agree on how many points a particular story (task) is worth. The process of coming to unanimous agreement is the difficult part, and where the real value lies. Someone says "3 points", and someone points out they haven't thought about how it will require X, Y, and Z. Someone else says "40 points" and they're asked to explain and it turns out they misunderstood the feature entirely. After somewhere from 2 to 20 minutes, everyone has tried to think about all the gotchas and all the ways it might be done more easily, and you come up with an estimate. History tells you how many points you usually deliver per sprint, and after a few months the team usually gets pretty accurate to within +/- 10% or so, since underestimation on one story gets balanced by overestimation on another.

It's not magic. It prevents you from estimating things longer than a sprint, because it assumes that's impossible. But it does ensure that you're constantly delivering value at a steady pace, and that you revisit the cost/benefit tradeoff of each new piece of work at every sprint, so you're not blindsided by everything being 10x or 20x slower than expected after 3 or 6 months.

That is a well recognised part of the LLM cycle.

A model or new model version X is released, everyone is really impressed.

3 months later, "Did they nerf X?"

It's been this way since the original chatGPT release.

The answer is typically no, it's just your expectations have risen. What was previously mind-blowing improvement is now expected, and any mis-steps feel amplified.

If it was in the last half decade, your potential stock would be halved with this purchase by C1