as we say not your key, not your coins/capital
The same applies to AI, the models you choose, and your workflow.
As long as you rely on cloud-based LLM models that can be shut down at any time, you're at their mercy.
Mythos / Fable 5 here was a good example, to keep in mind (even if it does come back later)
All the more reason to develop our own local workflows on the side.
We are entering the most important AI decision of the next decade.
Not “which model is smartest?”
But:
Do you want to depend on intelligence you can access…
or build intelligence you can actually control?
Cloud-based frontier models are insane.
Mythos, Fable 5, and the next giants will keep pushing the limits.
- Best teams.
- Best infrastructure.
- Best performance.
But Fable 5 just reminded everyone of the uncomfortable truth:
- That power can be throttled.
- That intelligence can be locked.
- That access can be conditioned.
- That dependency can become a cage.
On the other side, open-source and local models may not always be the smartest out of the box.
But with the right workflows, fine-tuning, agent loops, memory layers, automation systems and execution infrastructure…
you can create something that compounds around your own needs.
Maybe less raw intelligence.
- But more sovereignty.
- More privacy.
- More control.
- More freedom.
The next winners won’t only be the ones using the strongest models.
They’ll be the ones building systems that survive when someone else turns the switch off.