Mar 3 · 5 min read · Abstract: the hidden assumption that undermines reliability As a Principal Systems Engineer, the task here is to peel back layers until the assumptions that quietly govern production behavior are visible and actionable. The point is not to r...
Join discussionMar 1 · 6 min read · The immediate problem facing engineering teams today is simple: large AI models behave well in isolated tests but begin to diverge when introduced into real workflows, producing inconsistent answers, missed facts, or wildly different outputs for near...
Join discussionFeb 28 · 6 min read · Large language and multimodal models behave well in controlled tests, then start failing quietly once they are embedded in real workflows. The problem shows up as inconsistent outputs, surprising latency spikes, or models that confidently produce wro...
Join discussionFeb 12 · 7 min read · Models used to be a measure of scale: more parameters, more data, and the belief that one large general model would cover every need. That assumption is giving way to a more pragmatic posture. Teams are asking less about "how big" and more about "how...
Join discussionFeb 9 · 5 min read · A year ago I was bouncing between tools the way some developers jump between editors - each new release promised better results and I felt obliged to try them. I started with something that gave me raw speed and blunt accuracy, loved its simplicity, ...
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