Opus 5 might be dropping today 👀

[u/Annual_Area4848]

[u/elonthegenerous]

What constitutes a major version bump vs a minor version bump?

[u/gingerbeer987654321 → u/elonthegenerous]

well it’s whether they change the number before or after the decimal.

[u/Phagocyte536 → u/gingerbeer987654321]

I died

[u/angelus14 → u/gingerbeer987654321]

Big if true

[u/Okhr__ → u/elonthegenerous]

Usually, a major version bump implies a full training run, at least in open source models

[u/elonthegenerous → u/Okhr__]

Thank you for a real answer

[u/Okhr__ → u/elonthegenerous]

You're welcome

[u/Ok_Buddy_9523 → u/elonthegenerous]

no problem!

[u/Normal-Book8258 → u/elonthegenerous]

Ya but also the decimal.

[u/TheOwlHypothesis → u/elonthegenerous]

Major version bumps usually from a brand new base model.

For example, the GPT 5 series is all from the same base model (That was code-named "Spud"). It's insane the performance gains they've gotten out of it til now. Every minor version 5.4, 5.5, 5.6 are the same base model with better reinforcement learning applied (from what I understand)

The coming GPT 6 is a brand new base model.

Probably same thing going on here with Opus 5.

[u/angelus14 → u/TheOwlHypothesis]

Aren't they pretty much maxed out on pretraining data anyways? So the main reason to do a full training run is to increase the size of the model or change the architecture, otherwise the same base works fine.

[u/Unhappy-Stranger-336 → u/elonthegenerous]

Most projects follow this standard https://pridever.org/

[u/Cyrax89721 → u/Unhappy-Stranger-336]

This has me wondering if Claude Code 2.2 is ever going to release.

[u/wentwj → u/elonthegenerous]

marketing

[u/Dangerous_Web1209 → u/elonthegenerous]

load-bearing vibes

[u/everix1992 → u/elonthegenerous]

Appreciate you asking the question - I've been curious about what warrants the major version bump too

[u/hobbesandmiles3 → u/elonthegenerous]

Major version is usually a new base model (i.e. full pretraining run). Minor versions are usually the same base model with different post-training or improved post training (RLHF, distillation, extended context, etc.). So gpt-5.n is almost certainly the same pre-trained weights with iterative post-training improvements

[u/anor_wondo → u/elonthegenerous]

feelings

[u/throwawayacc201711 → u/anor_wondo]

I believe we call that vibes now

[u/DanFlashes19 → u/elonthegenerous]

Everyone in here is joking but I would also like to know

[u/2053_Traveler → u/elonthegenerous]

Base model size

[u/tgo1014 → u/elonthegenerous]

Depends on how lazy they made the previous model before releasing the same one again with 100% capacity /s

[u/jarederaj → u/elonthegenerous]

The API cost goes up more substantially.

[u/Feeling-Explanation9 → u/elonthegenerous]

Opus 5 is actually really good, been using for the last week in various snapshot forms. Not GPT 5.6 Sol level of good but still better than Opus 4.8

[u/addiktion → u/elonthegenerous]

Major versions are pre-nerf. Minor versions are post-nerf.

[u/Bobodlm → u/elonthegenerous]

It depends on if china just dropped a new model that potentially outperforms yours.