Ask HN: If a private company like OpenAI acheives AGI
Do you really think they would make it public or use it to their advantage for as long as possible?
Expecting AGI to just spring forth from a box of inert electrical silicon-based switches is like expecting a hammer to start driving nails on it's own.
It's a modern form of alchemy --- expecting a fantastical result from trial and error with only limited understanding of the processes required.
That's the problem with intelligence. One day chess was considered a form of intelligence, that got solved by alpha-beta search and there was no longer a miracle.
Or is it that visual recognition models since YoLo are a miracle in the sense of practical image recognition?
So, yes OpenAI would make AGI available. They already did.
A: The word "intelligence" contains 11 letters: i-n-t-e-l-l-i-g-e-n-c-e.
Wrong! The correct answer is 12.
This is definitely not AGI! It is a crude statistical attempt that some people confuse with AGI.
>Show your work. Then generate a Jupyter notebook that performs the calculations so I can double check, provide a link to download it from my storage when complete.
>Answer: The total number of letters in the provided comment is 187.
>You can download the generated Jupyter notebook to review and verify the calculations using the link below:
>Download the Jupyter Notebook
https://chatgpt.com/share/6759dd5a-140c-8011-b132-5664f3aaa4...
I don’t know what AGI really means at this point, and I don’t think this is quite there, but this is an example of ChatGPT (4o) choosing the correct context (counting only alphabet characters not total character count), parsing the comment correctly (non-trivial given the usage of delimiters in both the prompt and comment and reference to counting letters in the comment not being interpreted as a part of the instructions), choosing the correct python tools, arriving at the correct answer, then generating and populating a working, downloadable, notebook to check the work. All in one reply.
It looks like you would need to continue the conversation from the link I provided then regenerate the prompt/reply to see the processing blocks and download the notebook.
Either it didn't understand the question or it can't count --- take your pick. Any results come at a high cost and are simply not reliable.
[5299, 1991, 18151, 553, 306, 290, 2195, 392, 491, 33465, 69029]
This happens to be 11 tokens, but I think that's a coincidence. Token 491 is "int" and token 33465 is "elligence", but ChatGPT doesn't actually see the letters.
How can you expect it to count, given those limitations? It had to guess how many letters each token represented. It got close, but not exact.
This is an artificial example pretty much maximally designed for ChatGPT to screw up.
This is an extremely simple example that ChatGPT screws up maximally.
If it can't be trusted for a simple, obvious example, why should it be trusted in less obvious cases were accuracy and reliability are important.
Answer --- it shouldn't. Maximal cost with minimal reliability.
The IRS don't care why your tax return was wrong, they still charge a penalty.
*Why* doesn't excuse the basic facts --- that it is simply not reliable and is very expensive.
Maybe you’re using it wrong.