tgbugs
0. https://portal.hubmapconsortium.org/ 1. https://data.humancellatlas.org/
Identify pot hole locations. Combine with traffic metrics for those locations. Then use a combination of some pot hole nuisance metric (size, depth, location in lane, number of cars that could hit it per unit time based on traffic metrics), a cost to repair for a given repair type metric (should include traffic disruption cost estimates), then have an estimate for future degradation if it is not repaired and the cost of that applied at a few time points .... I'm sure there are plenty of implementations of various versions of the algorithm, but I wonder whether there are open data sources ....
A quick search suggests that most approaches are municipality based crowd sourcing efforts. A stream from the radars from various vehicles could provide something that was up-to-date enough to avoid false positives that had already been fixed .... Things like streetview and various aerial photography datasets probably update too slowly ... though I know of some potholes that have existed through multiple recaptures.
0. https://par.nsf.gov/servlets/purl/10636488 1. https://doi.org/10.1016/j.jag.2023.103335
I guess the days of citizens grabbing their shovels and going to fix the roads are becoming a thing of the past. Which is a shame because the total cost of asphalt needed to fix most potholes is less than the cost of a single tire repair.
I've heard stories that over a decade ago teams inside hyperscalars had calculated that running completely cryogenically cooled data centers would be vastly cheaper than what we do now due to savings on resistive losses and the cost of eliminating waste heat. You don't have to get rid of heat that you don't generate in the first place.
The issue is that at the moment there are very few IC components and processes that have been engineered to run at cryogenic temperatures. Replicating the entirety of the existing data center stack for cryogenic temps is nowhere near reality.
That said, once you have cryogenic superconducting integrated circuits you could colocate your data centers and your propellant/oxidizer depots. Not exactly "data centers off in deep space" since propoxd tend to be the highest traffic areas.
0. https://historicalatlas.com/download/ 1. https://youtu.be/WFYKrNptzXw?t=64
It was a museum that was designed for parents to explain to children. The written material for any given piece in an exhibit went into sufficient detail and successive sections of writing would build on each other without necessarily requiring that the previous section had been read.
Back then the museum had an exhibition on the longitude problem and time keeping, precision, drift, etc. that walked you through the development of increasingly accurate chronometers, the practical reasons why, etc. It was an absolute masterwork exhibit, and it expected the adults to be actively engaged with helping digest the material with the kids.
When a society fails to provide sufficient opportunity for all its members then those who have been left behind can simply make up the difference by retrieving their share of the common wealth by other means.
The cost of trying to police this (ignoring entirely the moral and ethical implications of such policing) at the scale of e.g. all roads with guardrails is more than the value if replacing the rails, and likely substantially more than just providing the missing opportunity and removing the sources of wealth inequality that make wealth redistribution in the form of guard rails an inevitability.
The short version is that if we can approximate the sensory experience and the motor experience of an organism, and we can successively refine that approximation as measured by similarity in behavior between bat and man-bad, then I would argue that we can in fact imagine what it is like to be a bat.
In short, it is a Chinese Bat Room argument. If you put a human controlling a robot bat and a bat in two boxes and then ask someone to determine which is the human and which is the bat, when science can no longer tell the difference (because we have refined the human/bat interface sufficiently) you can ask the human controlling the robot bat to write down their experience and it would be strikingly similar to what the bat would say if we could teach it English.
The bat case is actually easier than one might suppose, similarly say, a jumping spider, because we can translate their sensory inputs to our nervous system and if we tune our reward system and motor system so that we can get even an approximate set of inputs and similar set of actuators, then we can experience what it is like to be a bat.
Further, if I improve the fidelity of the experimental man-bat simulation rig, the experience will likewise converge. While we will not be able to truly be a bat since that is asymptotically mutually exclusive with our biology, the fact that we can build systems that allow progressive approach to bat sensory motor experience means that we actually do have the ability to image the experience of other beings. That is, our experiences are converging and differ only due to our lack of our technical ability to overcome the limitations of our biological differences.
The harder case is when we literally don't have the molecule that is used to detect something, as in the tetrachormat case. That said one of my friends has always wanted to find a way to do an experiment where a trichromat can somehow have the new photo receptor expressed in one eye and see what happens.
The general argument about why we would expect something similar to happen should the technical hurdles be overcome is because basically all nervous systems wire themselves up by learning. Therefore, as long as the input and output ranges can be mapped to something that a human can learn, then a human nervous system should likewise converge to be able to sense and produce those inputs and outputs (modulo certain critical periods in neural development, though even those can be overcome, e.g. language acquisition by slowing down speech for adults).
Some technical hurdle examples. Converting a trichromat into a tetrachormat by crispering someone's left eye. Learning dolphin by slowing down dolphin speech in time while also providing a way for humans to produce dolphin high frequency speech via some transform on the human orofacial vocal system. There are limitations when we can't literally dilate time, but I supposed if we are going all the way, we can accelerate the human to the fraction of the speed of light that will compensate for the fact that the human motor system can't quite operate fast enough to allow a rapid fire conversation with a dolphin.
Actually, I don't know how you join the Ita now that you mention it.
The only question is how much fat there is to trim as the middle management is wiped out because the algorithms have determined that they are completely useless and mostly only increase cost over time.
Now, all the AI companies think that they are going to be deriving revenue from that fat, but those revenue streams are going to disappear entirely because a huge number of purely politic positions inside corporations will vanish, because if they do not the corporation will go bankrupt competing with other companies that have already cut the fat. There won't be additional revenue streams that get spent on the bullshit. The good news is that labor can go somewhere else, and we will need it due to a shrinking global population, but the cushy bullshit management job is likely disappear.
At some point AI agents will cease to be sycophantic and when fed the priors for the current situation that a company is in will simply tell it like it is, and might even be smart enough to get the executives to achieve the goal they actually stated instead of simply puffing up their internal political position, which might include a rather surprising set of actions that could even lead to the executive being fired if the AI determines that they are getting in the way of the goal [1].
Fun times ahead.
0. https://web.archive.org/web/20180705215319/https://www.econo... 1. https://en.wikipedia.org/wiki/The_Evitable_Conflict
If you can somehow obtain the knowledge of how to get a sexually reproducing population of n awake behaving human beings to successfully live in a tin can for 500 years then it is hard to see why you wouldn't just make more tin cans and replicate the process.
0. https://en.wikipedia.org/wiki/Familial_natural_short_sleep
One key issue is that splitting general config from secrets is practically extremely difficult because once the variables are accessible to a running code base most languages and code bases don't actually have a way differentiate between them internally.
I skipped the hard part of trying to integrate transparently with actual encrypted secret stores. The architecture leaves open the ability to write a new backend, but I have found that for most things, even in production, the more important security boundaries (for my use cases) mean that putting plaintext secrets in a file on disk adds minuscule risk compared to the additional complexity of adding encryption and screwing something up in the implementation. The reason is that most of those secrets can be rotated quickly because there will be bigger things to worry about if they leak from a prod or even a dev system.
The challenge with a standard for something like this is that the devil is always in the details, and I sort of trust the code I wrote because I wrote it. Even then I assume I screwed something up, which is part of why I don't shared it around (the others are because there are still some missing features and architecture cleanup, and I don't want people depending on something I don't fully trust).
There is a reason I put a bunch of warnings at the top of the readme. Other people shouldn't trust it without extensive review.
Glad to see work in the space trying to solve the problem, because a good solution will need lots of community buy-in to build quality and trust.
I got pushback from people who would not have to implement or maintain the systems for being a backward asciite so seeing this article is rather vindicating.