Didn’t realise what community I was in and got really confused.
It gets funnier the more you look. I love the ‘right handed’ spoon.
I think this is a very good and funny example of how ai makes stuff look right (at first glance at least) but lacks any type of sense about what stuff means
Honestly, if it could get this sort of thing right, it would already have enough cognitive function for us to be scared of self-awareness.
Following or designing step-by-step instructions requires a lot of intelligence.
Im a bit stuck on step 3, can anyone help?
Do you mean step 3 or step 3 or step 3 or step 8/3 or step 3?
yes
Don’t forget about steps ɝ, ҙ and Ӟ
Step S
Mayonnaise obviously. The secret to a really great sandwich.
That’s Elmer’s Glue. Common mistake.
Both so the sandwich sticks together, and for a snadwich that will stick to your ribs.
There was an attempt.
I don’t know why but I chuckled at this more than anything else I’ve seen on the internet today. Maybe just laughing at my dumb brain trying to work it out before seeing the text and realising it was AI.
3
Instructions unclear, penis now trapped in peanut butter jar
I got stuck at that step, too! Welp, this is our life now.
Mmmm, peanut butter, cranberry jelly, and mayo. My favorite!
Im hoping the mayo is cake frosting. Would be too sweet but at least matches ingredients better.
I came to the conclusion that it was a delightful meringue
A lot of 3s and no 7. Does AI has a bias on what numbers they create?
Like if I generate 1000 pictures with a number between 0 and 9, are those numbers distributed equally or what would the distribution look like?
Humans, when ask to say random numbers also have biases in some circumstances, so I guess AI does too.
When I asked gemini to randomly arrange the numbers between 4 and 27, it spit out a seemingly correct list of numbers with the issue that 23 was randomly missing
Jupp, as ai is trained on humans it will inherit our biases. That’s one of the biggest problems to solve. “If we train our ai on 4chan posts, how do we make it not racist\sexist\etc.”
LLM based technology has been shown to have biases in randomness, there was an article a while back experimenting with coin flips showing a lack of true randomness.
Its cause it’s about token prediction, so their is forced priority behind the scenes whether or not that is visible to the user.
Its the same reason why when you ask an image generator to create “a person from India” you get a man in a turbin a majority of the time.
4 also appears 3 times, but that number 3 isn’t always a number 3 - especially the bottom right kinda looks like a negative 3, and the one left of it…
Guys, is this Loss?
How could an AI know you shouldn’t combine PB with J? unless the J is homemade preserves. Did anyone tell the AI about homemade fucking preserves? Garbage in, garbage out. Ya’ll!
