Readit NewsDefinition: The definition that OpenAI team used for artificial curiosity was relatively simple: The algorithm would try to predict what its environment would look like one frame into the future. When that next frame happened, the algorithm would be rewarded by how wrong it was. The idea is that if the algorithm could predict what would happen in the environment, it had seen it before.
I don't know the details, but probably you would want to seek unpredictability in a higher level representation of the observed state. White noise is highly unpredictable per pixel, but will get a very predictable representation after a layer or two of featurization if the features are trained/designed for real world observations.
UBI might be better than nothing, but boy are people going to be lost without social mobility and purpose. Hopefully we can find that some other way if all labor is ever replaced. Which I am skeptical about.
There is so much humans should be doing to make our brief existence a little more happy and fulfilling. Little of this has to do about contributing labor.
In contrast, here's how the old Venetians elected the Doge, in a process so complex that it was presumably impossible to game to anyone's advantage:
"First, thirty members of the Great Council were chosen at random. Then nine of those thirty were chosen, again randomly. Those nine members picked the next set: forty people from the Great Council. And those forty? Twelve, randomly picked from their number, moved on to the next step. Those twelve chose twenty-five; those twenty-five were randomly pared down to just nine. Having fun yet? This set of nine members chose forty-five more; eleven were picked – again at random – from those forty-five. The eleven chose forty-one members. Those forty-one (finally!) voted for the doge. There were some additional checks against skulduggery. Each noble family couldn’t have more than one member in each group, and members couldn’t vote for their own relatives. Every time a set of members voted for the next group, more than a simple majority was required: around three quarters of the voting group had to agree. (For the final election, just 25 of the 41 had to agree.)"
https://generalist.academy/2020/11/06/the-election-of-the-do...
Americans have a deep reverence for their personal brand, but it's worth considering they don't install their government model on countries they conquer. Japan, Iraq, Germany, etc are all Parliamentary.
You can want a perfect world, but it will never exist.
Like it or don't, solving meat consumption and its effects on the planet is something we'll have to do. That probably involves a meaty substitute for meat.
I wouldn't be too dismissive of the potential here.
The wine is also decent, and many bottles are quite affordable. They make a lot of Italian grape varietals that are a little hard to find elsewhere.
The anti-corporatism shtick is so lame. Just because something is done by a massive corporation doesn’t make the thing bad. Just because something is an advertisement doesn’t make it bad.
I think this is pretty cool. Maybe I’ll buy some McDonalds today too.
Plenty of people will have plenty of issues with a major corporation. But it's worth pointing out that McDonald's is one of the most prominent fast food chains which has no problem with animal abuse in terms of products from horribly treated livestock animals. They have trouble even making their french fries livestock-torture free .
Maybe this issue doesn't personally matter to you, but it does create a huge problem for a company that does something so shamelessly unethical.
This essay kind of describes this sort of store as one would describe a walk through the woods. But the purpose of a walk in the woods is so distinct from the purpose of shopping that no comparison can be made.
1) they can't take measurements themselves.
2) they don't adapt on the job. Illnesses do. In other words, if there is a contagious health emergency, an LLM would see the patients ... and ignore the emergency.
3) they are very bad at figuring out if a patient is lying to them (which is a required skill: combined with 2, people would figure out how to get the LLM to prescribe them morfine and ...)
4) they are generally socially problematic. A big part of being a doctor is gently convincing a patient their slightly painful toe does not in fact justify a diagnosis of bone cancer ... WITHOUT doing tests (that would be unethical, as there's zero chance of those tests yielding positive results)
5) they will not adapt to people. LLMs will not adapt, people will. This means patients will exploit LLMs to achieve a whole bunch of aims (like getting drugs, getting days off, getting free hospital stays, ...) and it doesn't matter how good LLMs are. An adaptive system vs a non-adaptive system ... it's a matter of time.
6) they are not themselves patients. This is a fundamental problem: it will be very hard for an LLM to collect new information about "the human condition" and new problems it may generate. There's many examples of this, from patients drinking radium solution (it lights up in the dark, so surely, it must give extra energy, right? Even sexual energy, right?) to rivers or ponds that turn out to have serious diseases lurking around. Meaning a doctor needs to be able to make the decision to go after problems in society when society finds a new, catastrophically dumb, way to hurt itself.
Now you might say "but they would still be good in the developing world, wouldn't they?". Yes, but as the tuberculosis vaccine efforts sadly showed: the developing world is developing partially because they invest nothing whatsoever in (poor) people's health. Nothing. Zero. Rien. Which means, making health services cheaper (e.g. providing a cheap tuberculosis vaccine) ... has the problem that it does not increase the value of zero. They won't pay for healthcare ... and they won't pay for cheaper healthcare. And while Bill Gates ad the US government do pay for a bit of this, they're not sustainable solutions. If, however, you train a local with basic medical skills, there's a lot they can do for free, which actually helps.