> 8. Any contributor who feels they cannot write in English without assistance, may write in their native language, and expect readers to use translation tools of their choice. In that case a human-written English summary would be very welcome but is not required. In any case we promise not to shame anyone for any linguistic mistakes.

Now, there’s so much work to do just to keep up. It’s the ultimate red queen race. All of the 500 steps involved, each of which is its own little optimization loop, is sort of awe inspiring.

But obviously this inverts the previous rules that small teams run faster than big teams. AI requires a big team. It’s only once the team pushes past the 1000s that organizational inertia seems to become an issue. Because until then, there’s way too many pieces for even a dozen super stars.

But then again, there’s always reddit :)

At this point, Anthropic is likely having Claude itself propose and build features autonomously based on providing it with raw user feedback. This could be one example. Which is why it has an eerie sense of redundancy and pointlessness (“You mostly used Claude to automate work and home tasks”, etc.).

Human labeling is a two sided marketplace and so as any marketplace startup knows, both sides need to be constantly nurtured otherwise the system can collapse as worsening quality leads to churn and a vicious cycle that empties out the platform.

In labeling, you need to understand the limitations of individual work and fatigue, keep your pipeline bursting with awesome and consistent work, and improve the platform to make customer experience great.

AMT has been totally languishing in all these respects. Pay is terrible, dishonesty rampant, etc. It was a bad product, no need to pedestalize it or turn it political

So my guess is that Claude’s backend is doing the same — so this hack is probably more of a loophole in token accounting that might get closed if Claude is doing what Gemini does