Earlier quoted context omitted.
I don't know for Q* of course, but all the tests I made with GPT4, and all what I've read and seen about it, show that it is unable to reason. It was trained with an unfathomable amount of data, so it can simulate reasoning very well, but it is unable to reason
What is the difference between simulating reasoning very well and "actual" reasoning?
OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
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Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#702Earlier quoted context omitted.
When the solution requires arithmetic, one trick is to simply ask GPT to write a Python program to compute the answer. There's your 'add'.
Interesting, how do you use this idea? If you prompt the LLM "create a python Add function Foo to add a number to another number", "using Foo add 1 and 2", or somesuch, but what's to stop it hallucinating and saying "Sure, let me do that for you, foo 1 and 2 is 347. Please let me know if you need anything else."
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#703Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#704Earlier quoted context omitted.
If you ask Ilya Sutskever he will say your kids head is full of neurons, so is LLMs. LLMs comsume training data and can then be asked questions. How different is that to your son watching YouTube and then answering questions? It's not 1:1 the same,yet, but it's in the neighborhood.
Well, my son is a meat robot who's constantly ingesting information from a variety of sources including but not limited to youtube. His firmware includes a sophisticated realtime operating system that models reality in a way that allows interaction with the world symbolically. I don't think his solving the |i+1| question was founded in linguistic similarity but instead in a physical model / visualization similarity.…
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#705I feel very comfortable saying, as a mathematician, that the ability to solve grade school maths problems would not be at all a predictor of ability to solve real mathematical problems at a research level. The reason LLMs fail at solving mathematical problems is because: 1) they are terrible at arithmetic, 2) they are terrible at algebra, but most importantly, 3) they are terrible at complex reasoning (more specifica…
Friend, the creator of this new progress is a machine learning PhD with a decade of experience in pushing machine learning forward. He knows a lot of math too. Maybe there is a chance that he too can tell the difference between a meaningless advance and an important one?
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#706Earlier quoted context omitted.
Do you think any rhetoric could ever persuade you to you adopt the opposite general worldview of what you currently have? I'm positive that it could not for me. The reason for this is not because I'm obstinate, but because my worldview is not formed on persuasion, but on lived experience. And I think this is true for the overwhelming majority of people. It's why our views tend to change as we age, and experience more…
Yes. Do not forget that we literally live in the Matrix, getting all the information of import through tiny screens, the sources and validity of which we can only speculate on. All of the validity of the info we have is verified by heuristics we have, like groupthink, listening to 'experts' and trying to match up the info with our internal knowledge and worldview. I feel like our current system of information allows…
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#707I feel very comfortable saying, as a mathematician, that the ability to solve grade school maths problems would not be at all a predictor of ability to solve real mathematical problems at a research level. The reason LLMs fail at solving mathematical problems is because: 1) they are terrible at arithmetic, 2) they are terrible at algebra, but most importantly, 3) they are terrible at complex reasoning (more specifica…
It's the humans that are hallucinating, not the text generator.
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#708I feel very comfortable saying, as a mathematician, that the ability to solve grade school maths problems would not be at all a predictor of ability to solve real mathematical problems at a research level. The reason LLMs fail at solving mathematical problems is because: 1) they are terrible at arithmetic, 2) they are terrible at algebra, but most importantly, 3) they are terrible at complex reasoning (more specifica…
> The reason LLMs fail at solving mathematical problems is because ...because they are too small and have too little weights. Cats cannot solve mathematical problems too, but unlike cats, neural network evolve.
cats evolve plenty, pressure towards mathematical reasoning has stymied as of late what with the cans of food and humans.
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#709Earlier quoted context omitted.
Except that there's a fairly large body of evidence that persuasion is of limited use in shifting political opinion. So the persuasion would need to be applied to something other than some sort of causative political-implication-laden argument.
> Except that there's a fairly large body of evidence that persuasion is of limited use in shifting political opinion. The Republican Party's base became isolationist and protectionist during 2015 and 2016 because their dear leader persuaded them.
Re: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster
#710Earlier quoted context omitted.
Except that there's a fairly large body of evidence that persuasion is of limited use in shifting political opinion. So the persuasion would need to be applied to something other than some sort of causative political-implication-laden argument.
> Except that there's a fairly large body of evidence that persuasion is of limited use in shifting political opinion. The Republican Party's base became isolationist and protectionist during 2015 and 2016 because their dear leader persuaded them.
Franklin Roosevelt moved the Democratic Party in a direction very different from its first century. The party's two previous presidential nominees were a Wall Street corporate lawyer (John W. Davis) and Al Smith who, despite also being a New York City resident and state governor, so opposed FDR by the end of his first term that he founded an influential anti-New Deal organization. During the Roosevelt years the Democrats lost significant support from traditional backers, but more than made up for it with gains elsewhere in what became the New Deal coalition.
Similarly, under Trump the GOP lost support in wealthy suburbs but gained support elsewhere, such as Rust Belt states, Latinos (including places like South Florida and the Texas border region), blacks, and (according to current polls) young voters. We'll see whether one compensates for the other.