>Our proprietary AI robots independently recreate any open source project from scratch.

Fact that this is satire aside, why would a company like this limit this methodology to only open source? Since they can make a "dirty room" AI that uses computer-use models, plays with an app, observes how it looks from the outside (UI) and inside (with debug tools), creates a spec sheet of how the app functions, and then sends those specs to the "clean room" AI.

>This means the step function has more predictive power (“fits better”) than the linear slope. For fun, we can also fit a function that is completely constant across the entire timespan. That happens to get the best Brier score.

I mean, sure. but it's obvious in that graph that the single openai model is dragging down the right side. Wouldn't it be better to just stick to analyzing models from only one lab so that this was showing change over time rather than differences between models?

Will using a voice-to-text app to create my comment get me banned? Especially if it creates a transcription mistake that might be characteristic of an LLM

>A McKinsey spokesperson told The Register that it fixed all of the issues identified by CodeWall within hours of learning about the problems.

Ah. Thanks for the link. I'm suspicious of everything posted to a blog without proof these days.