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Re:GPT-5.3-Codex by quinncom on Thursday February 05, 2026 @02:21PM (#46903813)
Exponential growth may look like a very slow increase at first, but it's still exponential growth.
Re:GPT-5.3-Codex by janalsncm on Thursday February 05, 2026 @03:55PM (#46905159)
Sigmoids may look like exponential growth at first, until they saturate. Early growth alone cannot distinguish between them.
Re:GPT-5.3-Codex by naasking on Thursday February 05, 2026 @11:12PM (#46909035)
Intelligence must be sigmoid of course, but it may not saturate until well past human intelligence.
Re:GPT-5.3-Codex by janalsncm on Monday February 09, 2026 @06:21PM (#46953030)
Intelligence might be more like an optimization problem, fitting inputs to optimal outputs. Sometimes reality is simply too chaotic to model precisely so there is a limit to how good that optimization can be.

It would be like distance to the top of a mountain. Even if someone is 10x closer, they could still only be within arms reach.

Re:GPT-5.3-Codex by gf000 on Thursday February 05, 2026 @04:26PM (#46905599)
If it's exponential growth. It may just as well be some slow growth and continue to be so.
Re:GPT-5.3-Codex by Garlef on Thursday February 05, 2026 @11:12PM (#46909033)
On the other hand: Perception of change might not be linear but logarithmic.

(= it might take an order of magnitude of improvements to be perceived as a substantial upgrade)

So the perceived rate of change might be linear.

It's definitely true for some things such as wealth:

- $2000 is a lot of you have $1000.

- It's a substantial improvement of you have $10000.

- It's not a lot you have $1m

- It does not matter if you have $1b

Re:GPT-5.3-Codex by varjag on Friday February 06, 2026 @07:12AM (#46911878)
$2000 is not substantial over $1b on the linear scale
Re:GPT-5.3-Codex by Garlef on Monday February 09, 2026 @07:04AM (#46944333)
2k is the same on the linear scale no matter where you are. that's what the linear scale is about.

you're already interpreting this on the log scale