u/mosquit0

I used Rust way before AI boom. When LLM started writing decent code I knew Rust will blow up. I just liked the language. Not all Rust users are annoying fanboys :).

They probably wont reveal the logs of how these results were created because this is a very valuable training data. I imagine the reasoning of the winning strategy becomes a training data point with a very high weight.

I would not recommend any of the solutions. If you want a fallback just code it yourself. You can encode the logic and error metrics. I use cross provider fallback: claude sonnet -> glm 5.2, glm 5.2 -> claude sonnet. Use direct providers: anthropic, google vertex (also serves anthropic models and can be more reliable), openrouter for the open models.

At my company we are switching the traffic slowly but surely from Claude to GLM 5.2 and our internal benchmarks show that there is no quality drop in the conversations.

I'm most amazed by the strength of that monkey.

Where do you live? Might move there :)

He is probably using rete.js. there is almost no alternative for this kind of dashboard.

What is statistical significance of the hypothesis that we cause global warming? There were ice ages without human intervention where average temperatures were shifting by + - 10 degrees Celsius. And looking at historical temperatures measured over thousands of years shows that our current climate is quite stable.

Do you even lift?

Genius.

Stairway to heaven