throw20261022

> most workflows can accommodate using a 6.0 of one model

No, they can't, considering Terra never existed for 6.0. It's a mess, and no self-respecting user would care for it.

> As you note, our models are ordered: Luna < Terra < Sol < Astra

That is false, considering Astra and Luna don't even exist for 6.1. Terra didn't exist for 6.1 until yesterday. You don't get to make up imaginary tiers. The inconsistency wrt their availability, starting with day 1 of a new model version, is precisely the problem. OpenAI is a user-hostile joke of a firm that users would do well to abandon.

From an API pov, the reasoning effort is entirely orthogonal to the model. From a ChatGPT (Chat mode) pov, there might be something to what you say.

Their model release pattern has been a joke. Any firm in their right mind would have released the large+mid+small tier models at the same time. OpenAI though can't seem to pull it off. It's like they either don't have the hardware for it, or they have to wait to collect substantial user data over which to distill the tiers. Either way it's disruptive to user workflows, and not sane to invest in.

The three node setup doesn't make sense to me. Why not offer a user-selectable RAID-like choice instead (or even no redundancy)? Also, I don't like the idea of having any node labeled as Primary.

This is why it's essential to pay with cleaned crypto. Also, one can use a no-log VPN paid for with Monero.

The implication is that 6.1 Terra should've been released together with 6.1 Sol and Luna on the same day, and that these tiers should stick across versions.

> the model names are a bit confusing so let's just not bother.

I said neither of these two statements or claims. The fact is that OpenAI's model family and release is not standardized. This means that if I have applications that are using the high, mid, and low tier models, e.g. at v5.6, it's not straightforward for me to update to a new version, e.g. v6 or v6.1 of these models because there isn't immediately a 1:1 mapping at the time of release of the version. Competitors to OpenAI don't have this problem, so I will bother with them.

OpenAI repeatedly keeps hurting user workflows by altering the model generations family for each new version in unpredictable ways. As such, it is not a sane ecosystem to develop in.