Collect data, and show how it’s unlilely unless your hypothesis is true.
The quantum immortality experiment doesn't do that, though. The outcome, by definition, always occurs within the realm of random chance. Your environment needs to create an outcome that is extremely unlikely to occur by random chance. The experiment is not repeatable. It makes no predictions about what's going to happen if you try again. It doesn't do anything useful to bolster the many worlds theory.
We butchered humanlike / 10
I don't think it proves many worlds any more than it proves you have a fairy godmother manipulating quantum states for you. All you've done is shown an unlikely occurrence happened, not what caused it.
Sure you can move some parts of the conversation to a review session, though I think the answers will be heavily influenced by hindsight at that point. For example, hearing about dead end paths they considered can be very informative in a way that I think candidates assume is negative. Nobody expects you to get it right the first time and telling the interviewer about your binary tree solution (that actually doesn't work) can be a good thing.
But the biggest problem I think with not being in the room as an interviewer is that you lose the opportunity to hint and direct the candidate away from unproductive solutions or use of time. There are people who won't ask questions about things that are ambiguous or they'll misinterpret the program and that shouldn't be a deal breaker.
Usually it only takes a very subtle nudge to get things back on track, otherwise you wind up getting a solution that's not at all what you're looking for (and more importantly, doesn't demonstrate the knowledge you're looking for). Or maybe you wind up with barely a solution because the candidate spent most of their time spinning their wheels. A good portion of the questions I ask during an interview serve this purpose of keeping the focus of the candidate on the right things.
I'm not sure that offline or alone coding tests are any better. A good coding interview should be about a lot more than just seeing if they produce well structured and optimal code. It's about seeing what kinds of questions they'll ask, what kind of alternatives and trade offs they'll consider, probing some of the decisions they make. All the stuff that goes into being a good SWE, which you can demonstrate even if you're having trouble coming up with the optimal solution to this particular problem.
My way of thinking differs by saying if from my individuals perspective I experience the perfect coin (quantum particle) to flip tales a million times in a row there must be a highly likelihood that many worlds indeed exist since I died in the ones it said heads.
It doesn't make that highly likely, though. It's about equally likely that there's a fairy controlling your coin flips. The experiment hasn't proven anything about the cause of the unlikely outcome. You've just measured that it happened and then declared that your preferred explanation is the reason.
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I think it definitely depends on the level of involvement and the intent. Sure not everybody who just asks for something to be made for them is doing much directing. But someone who does a lot of refinement and curation of AI generated output needs to demonstrate the same kind of creativity and vision as an actual director.
I guess I'd say telling an artist to do something doesn't make you a director. But a director telling an AI to do the same kinds of things they'd tell an artist doesn't suddenly make them not a director.
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I'm fairly certain most people consider directing (film, music, art, etc) to be an artistic process.
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The language model isn’t teaching anything it is changing the wording of something and spitting it back out. And in some cases, not changing the wording at all, just spitting the information back out, without paying the copyright source.
You could honestly say the same about most "teaching" that a student without a real comprehension of the subject does for another student. But ultimately, that's beside the point. Because changing the wording, structure, and presentation is all that is necessary to avoid copyright violation. You cannot copyright the information. Only a specific expression of it.
There's no special exception for AI here. That's how copyright works for you, me, the student, and the AI. And if you're hoping that copyright is going to save you from the outcomes you're worried about, it won't.
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Makes sense to me. Search indices tend to store large amounts of copyrighted material yet they don't violate copyright. What matters is whether or not you're redistributing illegal copies of the material.
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If I understand correctly they are ruling you can by a book once, and redistribute the information to as many people you want without consequences. Aka 1 student should be able to buy a textbook and redistribute it to all other students for free. (Yet the rules only work for companies apparently, as the students would still be committing a crime)
A student can absolutely buy a text book and then teach the other students the information in it for free. That's not redistribution. Redistribution would mean making copies of the book to hand out. That's illegal for people and companies.
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It seems like a lot of people misunderstand copyright so let's be clear: the answer is yes. You can absolutely digitize your books. You can rip your movies and store them on a home server and run them through compression algorithms.
Copyright exists to prevent others from redistributing your work so as long as you're doing all of that for personal use, the copyright owner has no say over what you do with it.
You even have some degree of latitude to create and distribute transformative works with a violation only occurring when you distribute something pretty damn close to a copy of the original. Some perfectly legal examples: create a word cloud of a book, analyze the tone of news article to help you trade stocks, produce an image containing the most prominent color in every frame of a movie, or create a search index of the words found on all websites on the internet.
You can absolutely do the same kinds of things an AI does with a work as a human.
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Oh look what was just posted today: https://youtu.be/Cp5oajtBbtg
TLDW: It's been proposed. Turn's out it's really hard to even do that.
Our recipes rarely use weights except for maybe meats. We've got a scale in my kitchen but it hasn't been touched in a while.
The ratios of ingredients matter more than the exact values so for the recipe you're talking about, it'd be like 2 cups of milk, 1 cup flour, 1/4 cup of oil, 1/8 cup of sugar (or 2 tablespoons, which is a pretty common size so most people probably have a scoop for that).
But having industrial quantities is like most of the argument for using metric! You mean to tell me you're not converting between kL and mL all the time and reaping the benefits of being able to just slide the decimal over? That's a shame. I'm not sure that doing your everyday cooking in increments of 125g is all that useful then. The cup is sounding better and better.
We have the same measuring cups I'm sure you use for liquids. They have mL on one side, cups on the other and a scale for sub-sizes. We do have individually-sized scoops which are nice for over-scooping and just sliding your finger across the top to push off the excess and get the amount you need. It's not strictly necessary though. They come in a set where each smaller scoop fits inside the larger ones in a tight stack that can sit in a drawer.
The infinite granularity is ultimately unnecessary. Recipes don't call for 0.397 cups. I'm sure you don't see any that ask for 438 grams. If you do the math on a lot of recipes listed in both metric and imperial, you'll find that they're not even using the exact same amounts. The convenience of using standard measures tends to outweigh the flavor difference with plus or minus a percent of ingredient.
You guys have to weigh your flour? We just grab a cup and scoop it and then dump it in the bowl. You're busting out the scale? You're not exactly selling me on metric here.
The experiment, as defined, only leads to your survival by random chance. The experiment does not create any outcome except by random chance so it cannot be used to prove anything.