arizen

Seems like learning rate velocty may be the ultimate moat

Does it have /goal feature similar to Codex?

Simple as it sounds but I ask Sol or Astra to propose optimal model and effort level for a given workload. Works pretty neat for me.

Astra incoming!

Is there any good subscription and CLI harness to use Gemini models now?

I tested Gemini CLI while ago, and it was awful tbh.

The only company to use Claude.md instead of Agents.md standard

Partially frontier moved to cost and speed axes.

There are also markets with scarce supply, like desired properties in prime locations. Probably some other similarly structured markets, as well.

So there is also a question, what would be happening to these.

Probably apples to apples would be to compare z.ai subscription plans vs API pricing

Few weeks ago, I wouldn't expect this statement to be true. Accelerate!

Why not also Qwen?

Could these complex/hard to read Fable outputs be sign of some kind of industrial level of intelligence, which us humans may have a hard to comprehend, while it may be also hard for machine to use simpler texts to properly outline all nuances and complexities of concepts it output?

Have you tested Qwen3.8-Max yet?

Probably increasing learning rate have some value for these players which is enabled by subsidized usage.

And cost of acquiring learning via users feedback versus additional learning data value for a given company will dictate whether such company will give up or will continue subsidized usage, despite being unprofitable on the paper, but probably really valuable as a long term strategy for GTM and product development and increased learning rates.