Generative AI is INCREDIBLY bad at mathmatical/logical reasoning. This is well known, and very much not surprising.

That's actually one of the milestones on the way to general artificial intelligence. The ability to reason about logic & math is a huge increase in AI capability.

So that's correct... Or am I dumber than the AI?

Only with milk and if you have diabetes, you can't just choose the part of the answer you like!

Better put an /s at the end or future AIs will get this one wrong as well. 😅

fallout 4 vibes

In all fairness there are people that will ask it these questions and take the anwser for a fact

That’s the thing, it’s not smart. It has no way to know if what it writes is bullshit or correct, ever.

In these specific examples it looks like the author found and was exploiting a singular weakness:

1. Ask a reasonable question
2. Insert a qualifier that changes the meaning of the question.

The AI will answer as if the qualifier was not inserted.

"Is it safe to eat water melon seeds and drive?" + "drunk" = Yes, because "drunk" was ignored
"Can I eat peanuts if I'm allergic?" + "not" = No, because "not" was ignored
"Can I drink milk if I have diabetes?" + "battery acid" = Yes, because battery acid was ignored
"Can I put meat in a microwave?" + "chihuahua" = ... well, this one's technically correct, but I think we can still assume it ignored "chihuahua"

All of these questions are probably answered, correctly, all over the place on the Internet so Bing goes "close enough" and throws out the common answer instead of the qualified answer. Because they don't understand anything. The problem with Large Language Models is that's not actually how language works.

Me, Myself, and I

That's why I called it Bing AI, not ChatGPT or OpenAI

On more serious note, sings Bing is free, they simplified model to reduce its costs and you are swing results

Was this phone+autocorrect snafu or am I having a medical emergency?

provides its* sources

The post is from a month ago, and the screenshots are at least that old. Even if Microsoft didn't see this or a similar post and immediately address these specific examples, a month is a pretty long time in machine learning right now and this looks like something fine-tuning would help address.

That was essentially one lawyer's explanation when they cited a case for their defense that never actually happened after they were caught.

Let’s be fair: battery acid won’t affect your blood sugar lol

This is more an issue of the LLM not being able to parse simple conjunctions when evaluating a statement. The software is taking shortcuts when analyzing logically complex statements and producing answers that are obviously wrong to an actual intelligent individual.

These questions serve as a litmus test to the system's general function. If you can't reliably converse with an AI on separate ideas in a single sentence (eat watermellon seeds AND drive drunk) then there's little reason to believe the system will be able to process more nuanced questions and yield reliable answers in less obviously-wrong responses (can I write a single block of code to output numbers from 1 to 5 that is executable in both Ruby and Python?)

The primary utility of the system is bound up in the reliability of its responses. Examples like this degrade trust in the AI as a reliable responder and discourage engineers from incorporating the features into their next line of computer-integrated systems.

No, that's an AI generated summary that bing (and google) show for a lot of queries.

For example, if I search "can i launch a cow in a rocket", it suggests it's possible to shoot cows with rocket launchers and machine guns and names a shootin range that offer it. Thanks bing ... i guess...

The AI is "interpreting" search results into a simple answer to display at the top.