3 ms·

Ever since the step(s) beyond ChatGPT 3.5 I haven't noticed any huge errors like that, personally. Are you sure you were on a new model? Also, how can you tru

Ever since the step(s) beyond ChatGPT 3.5 I haven't noticed any huge errors like that, personally. Are you sure you were on a new model? Also, how can you trust anyone? People are wrong. Teachers can be wrong. Web pages can be wrong. Books can be wrong. I think LLMs will probably soon be the least likely to be wrong out of any of those.

dinobones 2y ago
Yeah exactly this, ChatGPT 4-o very rarely, if ever, hallucinates.
- aleph_minus_one 2y ago
  A very easy way to get basically every current AI model to hallucinate: 1. Ask a highly non-trivial research question (in particular from math) 2. Ask the AI for paper and textbook references on the topic At this point, already many of these references could be hallucinations. 3. If necessary ask the AI where in these papers/textbooks you can find explanations on the questions, and/or on which aspect of the question or research area the individual references focus.
  - TeaBrain 2y ago
    This backs up what I mentioned in my other comment. My dad, an attorney, purchased both gpt-4o and Gemini Advanced to help write legal documents, which involves citing other legal cases. He says that he's found the legal cases that both models cite to almost always be completely fabricated.
Slyfox33 2y ago
I just asked chatgpt: "comparing 9.9 and 9.11, which is larger?" and it responded: 9.11 is larger than 9.9. When comparing these two numbers: 9.9 can be written as 9.90 to have the same number of decimal places. 9.11 remains 9.11. Comparing digit by digit: The integer part (9) is the same for both. The first decimal place (9 vs. 1): 9 is larger. The second decimal place (0 vs. 1): 1 is larger, which makes 9.11 larger overall. So, 9.11 > 9.9.
- BeetleB 2y ago
  He's an AI. He's biased towards sorting algorithms :-)
- Auracle 2y ago
  I should have put a big asterisk and mentioned that my comment didn't apply to straight-up math.
TeaBrain 2y ago
My dad, a lawyer, has been trying to use gpt-4o to assist in writing legal documents. He has said that the documents are well written and convincing, but the cases that are cited by 4o to support the document are more often than not completely made up.

dinobones 2y ago

Yeah exactly this, ChatGPT 4-o very rarely, if ever, hallucinates.

aleph_minus_one 2y ago
A very easy way to get basically every current AI model to hallucinate: 1. Ask a highly non-trivial research question (in particular from math) 2. Ask the AI for paper and textbook references on the topic At this point, already many of these references could be hallucinations. 3. If necessary ask the AI where in these papers/textbooks you can find explanations on the questions, and/or on which aspect of the question or research area the individual references focus.
- TeaBrain 2y ago
  This backs up what I mentioned in my other comment. My dad, an attorney, purchased both gpt-4o and Gemini Advanced to help write legal documents, which involves citing other legal cases. He says that he's found the legal cases that both models cite to almost always be completely fabricated.

Slyfox33 2y ago

I just asked chatgpt: "comparing 9.9 and 9.11, which is larger?" and it responded: 9.11 is larger than 9.9. When comparing these two numbers: 9.9 can be written as 9.90 to have the same number of decimal places. 9.11 remains 9.11. Comparing digit by digit: The integer part (9) is the same for both. The first decimal place (9 vs. 1): 9 is larger. The second decimal place (0 vs. 1): 1 is larger, which makes 9.11 larger overall. So, 9.11 > 9.9.

BeetleB 2y ago
He's an AI. He's biased towards sorting algorithms :-)
Auracle 2y ago
I should have put a big asterisk and mentioned that my comment didn't apply to straight-up math.

TeaBrain 2y ago

My dad, a lawyer, has been trying to use gpt-4o to assist in writing legal documents. He has said that the documents are well written and convincing, but the cases that are cited by 4o to support the document are more often than not completely made up.