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If every manager initially had 5 reports, a quick geometric series shows that eliminating all managers would save you 20% of headcount. Of course, managers tend to get paid more, so maybe you'd save a larger fraction of wages.

I wonder if that's the main concern or if communication / coordination costs are the larger concern


I'm a data-scientist now, and a fan of claude code for implementing things. But I have to say, I'm constantly surprised by how "dumb" chatgpt is as a math research partner. I will ask it a math question I'm thinking about, get a confident answer back, only to realize hours to days later that it was 180 degrees backwards. I'm so frustrated right now with this that I'm almost ready to stop asking it such questions at all. I'm aware this seems to contrast strongly with other math-people's enthusiasm e.g., Terrance Tao. Unclear why my mileage varies.

Much of my work takes the form above -- in other words figuring out what to do. once i've decided, it can of course spit out the boilerplate code much faster than I could, and I appreciate that. But for the moment I think I still have some job security thanks to the first issue.


The earlier paper was from 2021!

>> This mind upload thought experiment convinced me…

Start at the color green and gradually add in some blue. As long as there are no sharp discontinuities there is no such thing as the color green.


When I look at traffic in my city, I rarely see it caused by full packing. Rather throughout seems to be the issue.


Throughput is directly proportional to the volume of cars, and SUVs have larger volume. Technically perhaps surface area, but there is a psychological effect to height. I believe people also give taller vehicles more space as a rule.


Throughput in congestion is determined mostly by how quickly drivers react to the opportunity to move and how many points of attrition are in a path. Both of what are impacted by the number of cars and how well they break or accelerate, not by their size.

There's space to claim large car cause attrition, but that's completely dependent of the local properties of the streets.


The footprint of the car matters. When cars get 5% longer, the same number of people in cars takes 5% more roadway, which adds up quickly, because the difference between smoothly-flowing traffic and jammed traffic is a fragile equilibrium dominated by breakpoints. Furthermore, heavier cars accelerate and decelerate slower than lighter cars, which has a compounding effect on decreasing overall throughput.


That isn't true. Most of the space a car takes is empty as you need long distances between cars.


No, the length you need between cars is variable and depends on the speed of traffic and the time it takes for a car to come to a stop. The longer a car is, the heavier it is (frames do not have negative weight), and the heavier it is, the longer the stopping distance is. Please don't bother commenting further on something you're so belligerently clueless about.


That larger cars cause diminished throughput is pretty solidly demonstrated through a variety of modeling and real-world traffic analysis.

https://www.researchgate.net/publication/365069344_How_the_r...


The tldr for me from the report was Waymo is great and SF is a dangerous place to drive.


I would largely agree with that assessment, yeah. Dangerous place to bike, too. I've even seen pedestrians get clobbered by bikers because they stepped into the bike lane not realizing a bike was barreling toward them at 20mph+. This is part of why Waymo and Uber warn you when the dropoff is next to a bike lane.


I never heard the “Bernoulli” part, new?


Yeah it was named a few years ago after a student/faculty poll https://tech.caltech.edu/2023/05/update-on-bernoulli-the-bea...


FWIW I have heard the exact opposite. The people I know love the self driving feature.


This is not about loving the feature. It is about willing to pay the current asking price for it.


Agree 100% -- wonderful history here. And with such a simple statement, hard to believe / accept the "reason" is that it works for 633 limiting cases.


As somebody noticed, we're very lucky to live in a universe where many key things are utterly simple (like basic arithemetics), or allow for acceptable simple approximations (like classical mechanics). There was a sci-fi story set in a world orbiting a binary star, where discovering the laws of celestial mechanics feels like an intractable problem, and even predicting seasons is barely possible.


The privacy concerns are real.

The need / demand for some verification system might be growing though as I’ve heard fraudulent job application (people applying for jobs using fake identities… for whatever reason) is a growing trend.


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