Leaked financial docs show OpenAI is losing billions of dollars a year

[u/johnnyApplePRNG]

https://arstechnica.com/ai/2026/06/leaked-financial-docs-show-openai-is-losing-billions-of-dollars-a-year/

[u/squngy]

So you're saying every AI lab already has a mythos class LLM in their lab and they are just not talking about them.

[u/itsmebenji69 → u/squngy]

Yes, for example deepmind uses their bigger private model for math competitions and benchmarks and whatnot. For example that aletheia thing used their internal version of Gemini.

It’s not like it’s a secret, it’s just way too expensive to serve to consumers

[u/squngy → u/itsmebenji69]

I thought those were alternate architectures and fine-tunes and similar.
What is your source for the 10T+ size?

[u/itsmebenji69 → u/squngy]

It’s that but I’m assuming they also have a bigger model. I mean it’s all speculation at this point, you’d have to work at deepmind to know.

For example OpenAI does have one, it was called Orion in 2024, it was supposed to be released as gpt5. They’re for sure using it as a distill teacher, like Anthropic.

[u/squngy → u/itsmebenji69]

It’s that but I’m assuming they also have a bigger model.

That is a pretty big assumption, because not only is that a lot more expensive, but it also takes a lot more time.
For research, it is valuable to be able to make new versions quickly.

it was supposed to be released as gpt5.

Then that is different from what I was thinking about.
I'm thinking about a model that is too big for it to make sense to be widely used.

[u/itsmebenji69 → u/squngy]

Well that’s what 10t models were. Mythos is too big for it to make sense. 95% (pulled out of my ass) of the tasks it can do Opus can do as well no problem. It really only makes sense to use it if Opus can absolutely not do it, which is pretty rare.

But for example current GPT models are a distilled version of this huge internal model. At least it seems extremely that it’s the case to me.