I think it comes from decades of fear mongering over how "dangerous" stocks and options are. If you can, instead, explain to an llm what your goals are, it can set up a simple buy-and-hold for you.
Basically what investment agents used to do in the 80s-90s where the only way to make a trade was to call someone at the broker and explain what you want.
Taking a step back, I see this as what llms are actually useful for. Empowering people to do things they might otherwise need to study and research for a few weeks to do. When ultimately, that research is just unnecessary gatekeeping.
Fidelity makes you wait a short period of time after turning-on the “stock options” setting. They also give you documents about options and how to trade them and what to look for. They also ship that same information in a booklet in the mail to you. They make a best effort to inform you of the risks and benefits. I wouldn’t call randomly placing an options bet something you would want to bypass research on…and I frankly think your line of thinking is a dangerous way of operating in the financial space. Especially where it’s critical to understand how moving your money around penalty-free works with different types of investments.
And it shouldn’t take you weeks to understand how to trade options or any of the myriad of ways you can invest.
Robinhood allows you to trade on the margin by default IIRC.
Also the only fear mongering I can imagine is if you were someone who thinks learning things sucks. Otherwise I’m not sure what fear mongering you’re talking about. I have never heard or read any advice to not trade options because they are dangerous. Just that you should understand what you are doing because there is risk involved.
Numbers I see put Pixel at less than 5% of iPhone sales. Not nothing, but world-changing? I doubt the world would look significantly different had Google not done Pixel.
So if you kidnap them, hold them in a bunker for a month, then release them, it will pay out. That's probably a positive thing for the world somehow, right?
> that can easily be solved by a minute or two on godbolt...
Unfortunately it's not that simple when it comes to UB. If the snippet in question does in fact exhibit UB then there's no guarantee whatever Godbolt shows will generalize to other programs/versions/compilers/environments/etc.
Also, at behavioural edges what you'll see on Godbolt is compiler bugs. So you learn nothing about what should happen.
All popular modern C++ compilers have known bugs and while I'm sure there are C compilers with no known bugs that will be because nobody tested very hard.
No, claim A is 'x may be removed by a conforming C compiler'. Whether any given version of a given compiler actually does so in any given circumstance is a different question (the answer being: probably not, because while this is undefined behaviour it's not likely something that is going to be flagged as such by a compiler's optimizer. Also, from some testing with GCC and forcing a null point dereference, it seems like volatile at least does win in that case with the current version of it x86, and it dutifully emits the null pointer dereference and then the 'ud2' instruction instead of the rest of that execution path).
I made the weaker claim that x can be removed. This is something I could prove with compiler output but I would have to find a compiler willing to make this optimization which is not something I can guarantee.
Because it finds the sources much quicker than I would have been able to on my own, and I can then synthesize them into data I know is correct, as correct as any human-generated data can be of course.
No, it's usually because it finds sources that I would not have even thought to search for in the first place.
Agentic AI has its faults, but one thing I've found it to be very good at is surfacing the "unknown unknowns": things I didn't know I should have searched for but that are directly relevant to my problem.
Because way more than three out of five Google results are SEO garbage or sponsored crap. The bar has been set extremely low by Google, a 60% validity rate sounds magical.
If I'm going to an LLM (as with websearch before it), it's usually because I don't know the answer, don't have anyone close to me that knows the answer, and can't pay anyone (or don't know who to pay) for the answer. In other words, my failure rate without the LLM would be 100%.
It's much easier to determine the truth of an answer than it is to come up with that answer yourself. This is analogous to the P=NP problem or the recognition vs. recall problem: it is much easier to recognize and verify a correct answer than it is to recall or generate it yourself.
I've got a pretty solid algorithm for checking correctness: I ask the LLM for its sources, I try to find 3-5 independent ones (that are not just copying each others' answers), and if they all agree, that's very likely to be the correct answer. Simple math here: if you have 5 sources and they are each 60% likely to be correct, then an LLM choosing at random from them would have a 60% success rate, while someone checking all 5 of them for agreement would have a 1 - (0.4^5) = 99% chance of being correct. It's a good algorithm for doing other things like verifying scientific papers, too: you look for indendent research groups that have all reproduced the same findings.
I did the same thing with ten-blue-links websearch as well, and hope this would be the habit of anyone else too. (Although I know it wasn't, because I worked on Google websearch 15 years ago, on a project to increase the credibility of search results, and we did cafeteria UX studies about "What makes a credible result?" and everybody said "Because it appears as the top result on Google.")
Because being right 60% of the time with minimal work is still amazing, as long as one accounts for the failure rate correctly.
Say I want to look up some game from my childhood, which I barely remember any details for. Going to google and trying is likely going to be very difficult unless I happen to get lucky with some key element. But if an LLM can get it right even a minority of the time, it can lead to me quickly finding the game I'm looking for.
This does depend upon the ability to evaluate the answer, like checking against source or some other option where you know a good answer from bad. If you can't, then it does become much more dangerous. Perhaps part of the reason AI seem to empower experts more than novices in some domains?
I don't find it nearly that bad. If I really need factual information, it will generally go off and read the data from primary sources anyway. So unless it's really misunderstanding context, you're getting the data from the source.
It really matters the task. General knowledge from Wikipedia, great. Things more specific, with any thought needing to be used, or technical fields outside of software his numbers are pretty close to mine.
The problem too, is that we're all using different tools with different experiences -- there isn't one "AI". And if you're not paying for it, you're getting some real bad experience.
The idea that someone (the NSA?) is training models on all of our collected info, and using that to predict all of our hidden information, is horrifying.
The best time to start using a password manager was 10 years ago. The second best time is now.
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