it’s not just about the removal of the human, or run away corporations, or the destruction of the planet, or the squandering of art, or social warfare
it’s that ai is FUCKING DUMB.
you spend more effort trying to catch their dumb before it gets out into the wild, and to top it off it has the whole ‘semi self driving car’ problem where the point is laziness, so obviously the focus to whip the ai in shape is constantly waneing until it fucks up bad.
and then you get to blame the ai, which is the PERFECT SCAPE GOAT. on top of that it’s sycophantic, where truth in its outputs is not even in its top 10 motivating pressures. it’s got a memory that will lose older information at inconsistent rates depending on fluctuating token availability, and when it suddenly sees a gap in knowledge, it will out right LIE rather then admit a failing. it does not have a true comprehensive under standing of any topic, because the very nature of an LLM is probalistic connection of abstracted nodes representing data/text. the longer it must work on a single conversation the more polluted its weights gets! it can’t prioritize certain expectations because again, not a true comprehension of the discussion.
and you want this to develop code! something that is understood to take deep planning and concentration, and interlocking systems?
it’s not just about the removal of the human, or run away corporations, or the destruction of the planet, or the squandering of art, or social warfare
it’s that ai is FUCKING DUMB.
you spend more effort trying to catch their dumb before it gets out into the wild, and to top it off it has the whole ‘semi self driving car’ problem where the point is laziness, so obviously the focus to whip the ai in shape is constantly waneing until it fucks up bad. and then you get to blame the ai, which is the PERFECT SCAPE GOAT. on top of that it’s sycophantic, where truth in its outputs is not even in its top 10 motivating pressures. it’s got a memory that will lose older information at inconsistent rates depending on fluctuating token availability, and when it suddenly sees a gap in knowledge, it will out right LIE rather then admit a failing. it does not have a true comprehensive under standing of any topic, because the very nature of an LLM is probalistic connection of abstracted nodes representing data/text. the longer it must work on a single conversation the more polluted its weights gets! it can’t prioritize certain expectations because again, not a true comprehension of the discussion.
and you want this to develop code! something that is understood to take deep planning and concentration, and interlocking systems?