you-have-just-experienced-things

@yhjet.bsky.social

thing enjoyer

once upon a time (2009) I wasted an entire summer cramming treebank output into SVMs with tree kernel functions. deep down I knew this wouldn't work, but I had absorbed the local consensus that ANNs were a dead end, so what else was there to do?

"tests" for me are diverging into two categories: 1) huge number of unit tests with 100% line/branch coverage and mutation analysis to detect/scope subsequent behavior changes 2) small number of human-readable tests to verify most important aspects of expected behavior (often e2e but not always)

alice@alice.mosphere.at · 3mo ago

i'm being convinced that unit tests are often way less useful in most cases than e2e tests in the age of vibecoding

view I'm coming around to is like "at the abstract level of description good and bad things are exactly the same, and the evaluative flip depends on complex detailed local implementation questions or pagerank type network placement for identical algorithmic decisions". in many though not literally

Ted Han★ 韓聖安@knowtheory.net · 6mo ago

Yeah I think the thing I'm orbiting around may reduce down to "is the difference between AI psychosis and effective use of LLMs as an analyst a skill issue" lol

if the social utility of prediction markets is to give better predictions to decision-makers, then markets should be _closed_ at the last possible moment when the intended decision maker could leverage the information, which could be long before the market is _resolved_