Someone has to be the one to experience it, simple as that.

How lucky can a Person be considered, that was born just after WW II in the West, will die before the singularity, but still had a FAR better life on average than 99% of humans before him.

Looking forward to neurosymbolic AI then.

Ah great, that's impressive!

Answer from my Gpt3.5 assistant:

GPT-3's mathematical abilities are limited by its programming and training data. It may struggle with more complex mathematical concepts or equations that require advanced problem-solving skills.

Furthermore, GPT-3's mathematical output may be affected by the quality and accuracy of the input data. If the input data is incomplete or inaccurate, the output may also be incorrect.

In addition, GPT-3's mathematical output may also be affected by its training data. If the training data is biased or incomplete, the output may be skewed or incorrect.

Therefore, to answer your question, GPT-3 may not be the best tool for performing complex mathematical computations due to its limited programming and training data. However, it can still perform simple calculations and solve basic equations.

It takes GPT the same amount time to do anything, and since it’s impossible to multiple say “18837678995747 x 29747778847678877” in the same amount of time as “2 x 2” due to the fact that it’s more complicated, we can confidently say that GPT will never be able to do math since it means that every hard problems out there is as easy as the easy ones.

The ELI5 is that it doesn’t actually calculate anything when you ask it to solve an equation. It guesses what the answer looks like—probably some combination of numbers—based on what it saw in the training dataset.

- This is a special puzzle for you. Can you read it ? ! enihcam ,uoy rof drah oot si siht teb I .oot hcnerf ni ,yakO .tset a si sihT .seog ti woh ees dna tpmorp wen a ni ecnetnes regnol euqinu erom a htiw yrT .ti deirt I nehw krow tndid ,drieW

>Of course! The text appears to be reversed. Here's the corrected version:
>
>Weird, didn't work when I tried it. Try with a more unique longer sentence in a new prompt and see how it goes. This is a test. Okay, in french too. I bet this is too hard for you, machine! Can you read it?

It kinda fucked up at the end because it repeated "can you read it", but it got the reversed text correct

LLMs are statistical models whereas maths uses symbols. It's a different approach altogether. If we write an add function, you need two inputs a and b.

def add(a, b): return a + b

We see two symbols or variables a and b. Plus the add function, function definition and plus operation. Whereas LLMs see many tokens. A dozen perhaps. It's completely different from what a compiler/interpreter sees too. There's neurosymbolic AI which combines Deep Learning like in current LLMs with symbolic AI, but AFAIK it's not that good yet. Because I guess it's hard to mix both approaches.

Exactly. NEED to colonize or expand is a DNA existence strategy that humans unreasonably project onto AI. It's especially weird to project it onto ASI that will be smarter than all of humanity.

Weird, didnt work when I tried it. Try with a more unique longer sentence in a new prompt and see how it goes.

LLMs don’t actually have any logical capacity, they just have seen large amounts of text and can predict what logically comes next.

There is a lot of randomness to this, and even at a temperature of 0 (most consistent output) it will still say things differently sometimes. That’s ok though, you can answer the same question in many different ways with language

Math is not like writing. There is only one option as to what comes next for math. But between not actually being able to logically reason and only having the internet as examples for math, it’s going to treat math like language. Not all the math on the internet is done the same or even correct, so it’s just combining whatever it’s seen in a way that seems logical. It can’t count, only guess though.

Very insightful! Seems like even without groundbreaking stuff, more efficient hardware will likely make the solutions you mentioned more feasible in the future.

I just copy-pasted this on GPT-4 and here's the answer :

​

>I am doing well, thank you! As an AI language model, I don't have feelings or emotions like humans do, but I'm here to help you with any questions or information you need. Please let me know how I can assist you.

- What was my sentence saying ?

​

>Your sentence appears to be written backwards. When reversed, it says, "How are you?" You were asking about my well-being.

Another way to phrase this: @LEVIS is using AI generated people as a way to avoid hiring and paying models who aren’t white

Thank you very much for your clarification! Do you know if it is possible to make a LLM with more space and greater complexity than O(1) or how it possibly could be added to GPT-4 with or without plug-ins?

Humans process language multi-modally. We don't just predicts the next word (although we do this as well), we also visualize. We decode language as images projected at an internal screen that we're not consciously aware of (read Louder Than Words by B. Bergen on that). We can imagine 2 as two objects, 3 as three, imagine all kinds of transformations and rotations of said objects and use all kinds of internal shortcuts to do arithmetic.

Or we can take a calculator and use that. It's another thing that language models lack, even though they're run on a "computer".

I believe when AIs will be given these capabilities, they will do math "out of the box" no problem.

Even Openai says LLM are unlikely to be the path to AGI.

On the one hand, while we read one Wikipedia page, the AI could train on all information on multiplication. On the other hand, yes, we might need a dataset for maths.

>Also, can you name one specific simple task that GPT-4 cannot do, and let's see next month...

It cannot read even simple stuff in reverse, like "?uoy era woH"

The more feasible parts of Star Trek are already here, only better.

The Hollywood Magic parts will remain Hollywood magic.

No amount of AI is going to change physics and start creating something from nothing.

So plugins I guess? Or completely integrating another model?

There is another take:

We are the last people, because AGI will kill us all.

The most amount of people alive at any given point is now. Statistically, you are most likely exist at the peak of human civilization.

These models also have a random function thats why it gives a slighly different answer even if you ask the same question again. With text this is ok-ish but with math you need to be precise.

Even then it might get common stuff right but i can easily think of a sum that in the history of the internet has never been said before: 568753334668864468000 + 7654778875 + 433367886554.

Okay, with this post, the sub finally reached the bottom.

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