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Comment by jasonjmcghee | Hacker News Reader

For what it's worth - over the last few years or whatever, it seems like Anthropic benchmaxxes the least.

That being said, I currently prefer Sol / Astra to Opus / Fable as I find both to be a better cost payoff to me.

I was going to say the reverse - claude has been the less satisfying normalized by benchmark for me in the last year. Both astra and fable have their quirks, but I am 90% codex this year up from 10% last year.

I've been getting a ton done with Fable as the supervisor and astra as the implementer, with opus for adversarial reviews of the astra PRs. You can use terminal multiplexers with custom harnesses to allow Fable to start codex sessions and send instructions / read instructions / allow/deny actions. It's pretty cool!

codex has an option to expose itself as an MCP. You can also use something like OpenCodex to bring Anthropic models into Codex as any other selectable model.

The reason I did it the way I did was so that I can still use the codex and claude code subscriptions vs paying the API cost. Can you do that via OpenCode?

I'm using OpenCodex as a backend provider with Codex as the front-end, with the $200/mo ChatGPT subscription. Not OpenCode!

It's not just about benchmaxxing. Sincerely targeting those long-autonomy benchmarks is questionable in the first place, because naturally it drives the model to assume more and more about what you want.

The target market for frontier models is CEOs who want to lay off entire departments of their company. So the long autonomy benchmarks would seem to be sending exactly the right signal.

They're still going to have to communicate with the bots replacing those departments they lay off, or they're going to have a bad time.

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