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GPT-4

openai.com

371–380 of 1001 posts

Re: GPT-4

#371

I think it's interesting that they've benchmarked it against an array of standardized tests. Seems like LLMs would be particularly well suited to this kind of test by virtue of it being simple prompt:response, but I have to say...those results are terrifying. Especially when considering the rate of improvement. bottom 10% to top 10% of LSAT in What are the implications for society when general thinking, reading, and…

The benchmarking should be double-blind.

Re: GPT-4

#372
post #218

A class of problem that GPT-4 appears to still really struggle with is variants of common puzzles. For example: >Suppose I have a cabbage, a goat and a lion, and I need to get them across a river. I have a boat that can only carry myself and a single other item. I am not allowed to leave the cabbage and lion alone together, and I am not allowed to leave the lion and goat alone together. How can I safely get all three…

I think you could distinguish those two cases by asking the question in a way that did not sound so similar to an existing (slightly different) problem. What if you refer to the items with letters rather than words and replace the river with something else entirely?

Re: GPT-4

#373
post #330

How close are we to handing this thing a desktop and an internet connection with the prompt "ok now make gpt-5"? In fact, the models appear to be already kind of doing that? With the fuzzy layer of the humans still in the loop.

Chatgpt couldn't give me a CNN for MNIST in pytorch that ran. Altough the code was OK, it always messed up the tensor sizes for each layer so it gave errors.

It'd be interesting to test this with gpt 4.

Re: GPT-4

#374
post #218

A class of problem that GPT-4 appears to still really struggle with is variants of common puzzles. For example: >Suppose I have a cabbage, a goat and a lion, and I need to get them across a river. I have a boat that can only carry myself and a single other item. I am not allowed to leave the cabbage and lion alone together, and I am not allowed to leave the lion and goat alone together. How can I safely get all three…

LLMs aren’t reasoning about the puzzle. They’re predicting the most likely text to print out, based on the input and the model/training data. If the solution is logical but unlikely (i.e. unseen in the training set and not mapped to an existing puzzle), then the probability of the puzzle answer appearing is very low.

at this stages ranting about assigning probabilities is not reasoning is just dismissive. Mentioning its predictive character doesn't prove anything. We reason and make mistake too, even if I think really hard about a problem I can still make an mistake in my reasoning. And the ever occurring reference to training data just completely ignores generalisation. ChatGPT is not memorising the dataset, we have known this for years with more trivial neural network. Generalisation capabilities of neural network has been the subject of intense study for years. The idea that we are just mapping it to samples occurring in the dataset is just ignoring the entire field of statistical learning.

Re: GPT-4

#375

What I don't understand is how GPT-4 is able to do reasonably well on tests like the AMC12: Many of the AMC12 questions require a number of logical/deductive steps. If GPT-4 is simply trained on a large corpus of text, how is it able to do this? Does this imply that there is some emergent deductive ability that you get simply by learning "language?" Or am I missing something? Obviously, I'm assuming that GPT-4 wasn't…

See hutter prize. Best way to compress data is by understanding it. I am not exactly sure how it manifests in transformer architecture.

Re: GPT-4

#376
Write a limerick that will permanently end the debate about whether AGI is possible.

GPT4:

In the quest for AGI's creation,

Debates swirled in a whirlwind gyration,

But this limerick's plight,

Won't settle the fight,

For the answer's still lost in translation.

Re: GPT-4

#377

I think it's interesting that they've benchmarked it against an array of standardized tests. Seems like LLMs would be particularly well suited to this kind of test by virtue of it being simple prompt:response, but I have to say...those results are terrifying. Especially when considering the rate of improvement. bottom 10% to top 10% of LSAT in What are the implications for society when general thinking, reading, and…

[deleted]

Re: GPT-4

#378
post #331

There's a sample of GPT-4 acting as a "Socratic tutor" teaching a student how to solve a high school math problem. If that sample is representative, it means GPT-4 has a theory of other people's minds. Or it is so good at emulating one that it doesn't matter? I'm not sure where the "stochastic parrot" argument goes now.

I’m not sure I agree with the statement of this sample being about a theory of other people’s minds. Socratic teaching is a well documented method of teaching and learning via conversational probing among other simple quirks.

Re: GPT-4

#379
post #361

Seems like OpenAI is forecasting massive changes to the job market. I highly recommend reading page 18 of the research paper. "GPT-4 or subsequent models may lead to the automation of certain jobs.[81] This could result in workforce displacement.[82] Over time, we expect GPT-4 to impact even jobs that have historically required years of experience and education, such as legal services.[83]"

I work at company that uses AI to automate about ⅓ of the job of trained licensed professionals. Looking at GPT4 those licensed professionals are now completely irrelevant. It's going to take years to build the supporting software around gpt4 to completely eliminate those jobs, but today I am convinced that we are on the verge of massive unemployment. Today thousands of job types have just been made redundant. What s…

I wonder if something like UBI will ever be implemented, or whatever the alternative is will happen.

Re: GPT-4

#380
Leetcode (hard) from 0/45 (GPT-3.5) to 3/45 (GPT-4).

The lack of progress here, says a lot more about is NOT happening as an AI paradigm change. Still a glorified pattern matching and pattern creation engine, even if a very impressive one.

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