I see this all the time. There's a tension between wanting to move fast and figuring out which direction to move in. There might be resistance to manual trace review because it feels inefficient, but it's usually where you discover what actually needs fixing!

it's all fun and games until you're staring down the largest code review of your life

chatgpt agrees with you, your therapist agrees with you no one is left to tell you the truth besides toddlers and drunk people

which is larger, 52.8 or 69.1?

that much better at ✨deception✨

the pace of ai is plateauing (see: GPT-5) because downstream usage patterns are in flux and therefore the correct objective f(n) is ?? but it's def not these random benchmarks. ppl care about how models perform on actual real tasks. that's what makes something useful🤷

me and claude debugging code me and claude wrote

cannot underscore enough how deeply unserious it is to develop production-grade systems without evaluations. if you want to get somewhere, you need to define where you're going imo, evaluations are a key pillar of alignment 🤷

new hobby: themed book clubs requirements: * low-commitment character costumes (e.g. "I will be X. Looking tired and a little suspicious of murder.") * food relevant to the book * yapping making room for play/fun with good people is the spice of life!

got interested in code + design bc of winamp skins and nothing will hit like that again, i fear