Because lots of people are ignorant and imprecise.
HN selects from people who have at least a passing knowledge/interest in programming/science, a subpopulation which is already several standard deviations from the mean in specificity and debugging.
> disagree about infantilizing user bases and lowest common denominator
Platforms, with Google as exemplar, evolve in two ways.
1: Features they explicitly choose not to ship, because they're strategically dangerous. See tool-use foot dragging by OpenAi.
2: Features they deprioritize, because they aren't as revenue-impactful as other things.
To me, it feels like Google dropped the ball via the second path.
I'm sure they've been doing a ridiculous amount of cool work behind the scenes on individual context grounding... but once prod was "good enough for ads" the company as a whole wasn't incentivized to do the hard thing and ship more advanced features in search.
Which is how they ended up as legacy as they are, competing against LLM search that's by definition context-native.
HN selects from people who have at least a passing knowledge/interest in programming/science, a subpopulation which is already several standard deviations from the mean in specificity and debugging.
> disagree about infantilizing user bases and lowest common denominator
Platforms, with Google as exemplar, evolve in two ways.
1: Features they explicitly choose not to ship, because they're strategically dangerous. See tool-use foot dragging by OpenAi.
2: Features they deprioritize, because they aren't as revenue-impactful as other things.
To me, it feels like Google dropped the ball via the second path.
I'm sure they've been doing a ridiculous amount of cool work behind the scenes on individual context grounding... but once prod was "good enough for ads" the company as a whole wasn't incentivized to do the hard thing and ship more advanced features in search.
Which is how they ended up as legacy as they are, competing against LLM search that's by definition context-native.