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by giancarlostoro
49 days ago
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> 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. |
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Look at any[1] dashboard over the past 6 months. It's less about the people working there an more about what leadership is demanding, industry-wide: Productivity* is the only metric that matters now - measured by how quickly teams under them can squirt out new features. Leadership desperately need a win because of the amounts invested, so stability becomes what it is now. Nothing to do with the rank and file, though it's Engineering that will be blamed when the time comes, I hope the multitudes of CTOs are earning enough to justify them being sacrificed to appease shareholders.
1. If your company has a SEV or SLA dashboard, look at it and compare the levels before and after mandated AI-productivity pushes by management.