Sergii's Shortform
post by Sergii (sergey-kharagorgiev) · 2024-04-24T22:40:45.657Z · LW · GW · 2 comments2 comments
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comment by Sergii (sergey-kharagorgiev) · 2024-04-24T22:40:45.864Z · LW(p) · GW(p)
What about estimating LLM capabilities from the length of a sequence of numbers that it can reverse?
I used prompts like:
"please reverse 4 5 8 1 1 8 1 4 4 9 3 9 3 3 3 5 5 2 7 8"
"please reverse 1 9 4 8 6 1 3 2 2 5"
etc...
Some results:
- Llama2 starts making mistakes after 5 numbers
- Llama3 can do 10, but fails at 20
- GPT-4 can do 20 but fails at 40
The followup questions are:
- what should be the name of this metric?
- are the other top-scoring models like Claude similar? (I don't have access)
- any bets on how many numbers will GPT-5 be able to reverse?
- how many numbers should AGI be able to reverse? ASI? can this be a Turing test of sorts?