It still can’t count the Rs in strawberry, I’m not worried.
Screenshots please
Note that my tests were via groq and the r1 70B distilled llama variant (the 2nd smartest version afaik)
Edit 1:
Incidentally… I propositioned a coworker to answer the same question. This is the summarized conversation I had:
Me: “Hey Billy, can you answer a question? in under 3 seconds answer my following question”
Billy: “sure”
Me: “How many As are in abracadabra 3.2.1”
Billy: “4” (answered in less than 3 seconds)
Me: “nope”
I’m gonna poll the office and see how many people get it right with the same opportunity the ai had.
Edit 2: The second coworker said “6” in about 5 seconds
Edit 3: Third coworker said 4, in 3 seconds
Edit 4: I asked two more people and one of them got it right… But I’m 60% sure she heard me asking the previous employee, but if she didnt we’re at 1/5
In probably done with this game for the day.
I’m pretty flabbergasted with the results of my very unscientific experiment, but now I can say (with a mountain of anecdotal juice) that with letter counting, R1 70b is wildly faster and more accurate than humans .
No. It literally cannot count the number of R letters in strawberry. It says 2, there are 3. ChatGPT had this problem, but it seems it is fixed. However if you say “are you sure?” It says 2 again.
Ask ChatGPT to make an image of a cat without a tail. Impossible. Odd, I know, but one of those weird AI issues
Because there aren’t enough pictures of tail-less cats out there to train on.
It’s literally impossible for it to give you a cat with no tail because it can’t find enough to copy and ends up regurgitating cats with tails.
Same for a glass of water spilling over, it can’t show you an overfilled glass of water because there aren’t enough pictures available for it to copy.
This is why telling a chatbot to generate a picture for you will never be a real replacement for an artist who can draw what you ask them to.
I mean I tested it out, even tbough I am sure your trolling me and DeepSeek correctly counts the R’s