@FinanceYF5: 3/ He believes the AI capability leap in the past 5 months comes not only from tool advancements like Claude Code, but because of 【Mythos】—a new Anthropic model that quietly changed the entire R&D rhythm after its training completed in February this year. Key takeaway: Leading models are helping to train the next generation of leading models...

3/🚀 He believes that the leap in AI capabilities over the past 5 months

doesn’t just come from advancements in tools like Claude Code

but because of 【Mythos】—a new model from Anthropic

that, after completing training in February this year, quietly changed the entire R&D rhythm

Key insight:

Leading models are now helping to train the next generation of leading models

This cycle has already begun https://t.co/1sXB36JCpJ

1/Has the window for entering the AI capability competition already closed?

The time to enter this race was only three years: February 2023 to February 2026. Now the window has shut.

Most countries have permanently missed the boat.

This isn’t pessimism—

It’s the conclusion someone came to after using Fable.

Why would a model give him that feeling?

2/ He never judges models by benchmark numbers.

The only thing he truly cares about:

【The model’s shape of thought】 — How deeply can it understand user intent — How far can it iterate in its thinking — Whether it makes you feel “is there someone on the other side”

Fable gave him that sense of aliveness “It feels like being back in 2023”

3/ He believes that the leap in AI capabilities over the past 5 months

doesn’t just come from advancements in tools like Claude Code

but because of 【Mythos】—a new model from Anthropic

that, after completing training in February this year, quietly changed the entire R&D rhythm

Key insight:

Leading models are now helping to train the next generation of leading models

This cycle has already begun

3/ Some charge in, others busy building walls

Musk closed in on the frontier in 26 months—one of the few who seriously tried.

Europe spent a lot of time setting up regulatory barriers, and by the time it woke up, it was too late.

4/ Your “national AI” might just be a shell

Many countries’ “independent models” are actually a thin skin wrapped around models from US or Chinese labs.

Once the supply is cut off, the effect is like an airstrike—instant paralysis.

5/ Compute will be regulated like uranium

Advanced chips will be licensed, monitored, and kept within the US; open source can help but can’t save countries lacking compute and talent.

As open source approaches the frontier, global regulatory crackdowns will follow.

6/ His final conclusion, and the harshest line:

“If you aren’t already building it you will be nothing but a bystander”

AI is not about writing code, copyright, or art It’s about the reshaping of civilization, society, and humanity itself.

This is the revision he made to his own timeline after one day of using Fable

Read the original:

That’s all.

If you like this topic:

1. Follow me (@FinanceYF5)
2. Like + Retweet the first post below