It's really not all that confusing. It takes 5 minutes to understand. Optimizing for absolutely no effort needed is silly. It's a thing, a topic, a skill, a domain. You have to get a little bit familiar with the terms in order to use it. Everything works like that. It's not that hard. The learning curve is very graceful. You can literally just start by asking any chatbot what the names mean. It's that easy.
replyA similar complaint was valid years ago when OpenAI had GPT-4o, o1, o3 (but no o2), o4-mini-high, GPT-4, and GPT-4.1 and GPT-3.5 etc.
I am familiar with the terms, but I also can see how it can be confusing for a lot of people.
replyArguably the complaint was more valid for those older GPT models you mentioned.
Ok, the boring way would be a subset of XXS, XS, S, M, L, XL, XXL like clothes sizes. But it loses some marketing appeal and a quirky touch of personality that companies like.
replySome models like ViTs use something similar but then introduce words with no unambiguous order, like Small, Medium/Base, Large but then I always forget if Huge or Giant is larger.
But according to their benchmarks Opus 5 outscores Fable 5 on basically everything. So which one is “better”?
replyMaybe more accurately I should have said “larger”. Fable has the most parameters, Haiku has the fewest.
replyAlso fwiw I’ve never found LLM benchmarks to match reality based on my own usage, not for the large frontier models or smaller open weight models so who knows if Opus is actually better than Fable (I doubt it).
I think the problem is that Fable 5 is probably a bit outdated right now.
replyFable 5.1 or whatever they go with will be the stronger version vs Opus 5.
From about 2 hours of Opus 5 use , I would say it is quite impressive.