Building ML model training and serving infrastructure is real-world engineering. Nevermind the user-facing apps and supporting services.
> Sure they can build ML models, but I see how they improve upon them after years, and its always some really old "lesson learned" elsewhere in the industry. There's a thousand projects that make things like Claude Code use less tokens, and edit more efficiently, and nobody at Anthropic or Codex implements a single one of these approaches.
They have fully internalized the bitter lesson; the result is they get better returns improving the next model over squeezing out performance from the current one.
> Building ML model training and serving infrastructure is real-world engineering. Nevermind the user-facing apps and supporting services.
Looking at Anthropics status info for the last 90 days only serves to prove that they aren't hiring the right people for the right roles.
> They have fully internalized the bitter lesson; the result is they get better returns improving the next model over squeezing out performance from the current one.
Sure, but there's so many things they could be doing that don't require tweaking the model directly to improve it, the community builds all sorts of tools that improve Claude Code directly, and yet nobody at Anthropic takes any initiative in those directions, it feels like either they don't care about building user-facing software, or they don't have any UX experience.