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You’re probably right on crime. But I will say that both SF and Chicago(most of my experience) local train systems are constantly filled with homeless people with severe mental health issues. Generally , without fixing that a large segment of the population are never going to want to ride public transport.


GDP is literally just in dollars as a unit


What if I’m a farmer who wants to short whatever commodity I grow as a hedge.


I’m not saying you’re wrong. But man haves lots of people who don’t know what a war crime is really devalued the accusation. So much so I read yours and I just assume it isn’t.(again idk)



Yeah I don’t find this article particularly insightful. If we don’t have troops on the ground to prevent attacks in the straight, it would be always be vulnerable despite superiority. Shit if we don’t control the land, they could drop a bunch jet skis with bombs in the water in the middle of the night. The straight is only 21 miles wide at some points


I mean you can read it in your app and they're not just stored on your phone. E2E just means in transport from what I understand.


E2EE means end-to-end, where the ends are the participants in the chat. They can read it on your phone, but not on their servers. They need their app to separately transmit the plaintext to their servers to read it.


Which is technically possible.


So literally what I was implying


I think AI literally makes even being wrong feel like getting something done. And that is the addictive part for people.


"Near-Miss" effect: https://harprehab.com/blogs/the-psychology-of-risk-why-gambl...

I believe that's the strongest pattern in LLM gambling. Was listening the Syntax and they described that "Even though theLLM did it wrong 4 times, that 5th time could be right, so why not just go!"; paraphrased of course.

It also explains the meta-LLM business, where all these CEO types put in some question and because the LLM just knows all these words, they believe it's valuable because it's "almost" correct, even when that last correction might be forever elusive because these machines arn't thinking, they're patterning a highly regularized language beneath the more loose descriptions.

There'll definitely be a winner in the AI bubble, but it'll be seen after it pops.


Well-put. My "sunk costs" will be redeemed if I just persevere slightly longer, so walking away would mean an unnecessary loss.


Look at all this text I have! It can't be worthless right?!


"If it were me and some coworker that made all that text in an afternoon, it would represent a lot of real labor and thought and billable-hours, so it must be valuable!"


A bit off topic, but I sometimes wonder if OpenOffice would have become as prevalent without wireless ANC headsets be coming the default for focus.


You’re missing the point of a spec


The spec is as much for humans as it is the machine, yes?


Spec should be made before hand and agreed on by stakeholders. It says what it should do. So it’s for whoever is implementing, modifying, and/or testing the code. And unfortunately devs have a tendency of poor documentation


Software development is only 70ish years old and somehow we have already forgotten the very very first thing we learned.

"Just get bulletproof specs that everyone agrees on" is why waterfall style software development doesn't work.

Now suddenly that LLMs are doing the coding, everyone believes that changes?


I’m confused, are you saying that making a design plan and high level spec before hand doesn’t work?


I've seen it happen. Things that seem reasonable on a spec paper, then you go to implement and you realize it's contradictory or utter nonsense.


I mean yeah it happens all the time but you need to start somewhere. But I worked in safety critical self driving firmware and rtl verification before that, so documentation was a necessity


I mean I’ve run red lights but only because I live in a city and there are times where it would be impossible to turn left due to oncoming traffic. So you poke your nose out a bit so the other directions see you and turn when incoming stops but before new directions start.


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