← Back to context Comment by trollbridge 10 hours ago Yeah, and I keep wondering why. 4 comments trollbridge Reply TeMPOraL 8 hours ago They need top talent to operate the current generation of models, that's at the mediocre-talent level, in order to teach the next generation how to operate at their level, and eventually above. After which, they won't be needed anymore. hirako2000 10 hours ago Because LLMs are a tool.They are best placed to not fall for their own marketing claim that their tool can replace engineers. HarHarVeryFunny 6 hours ago Because either:1) They are knowingly lying about AI being at human replacement level rather than a useful developer toolAND/OR2) They think they are special, and that their software developers ("AI researchers") are doing harder stuff than those most other companies
TeMPOraL 8 hours ago They need top talent to operate the current generation of models, that's at the mediocre-talent level, in order to teach the next generation how to operate at their level, and eventually above. After which, they won't be needed anymore.
hirako2000 10 hours ago Because LLMs are a tool.They are best placed to not fall for their own marketing claim that their tool can replace engineers.
HarHarVeryFunny 6 hours ago Because either:1) They are knowingly lying about AI being at human replacement level rather than a useful developer toolAND/OR2) They think they are special, and that their software developers ("AI researchers") are doing harder stuff than those most other companies
They need top talent to operate the current generation of models, that's at the mediocre-talent level, in order to teach the next generation how to operate at their level, and eventually above. After which, they won't be needed anymore.
Because LLMs are a tool.
They are best placed to not fall for their own marketing claim that their tool can replace engineers.
Because either:
1) They are knowingly lying about AI being at human replacement level rather than a useful developer tool
AND/OR
2) They think they are special, and that their software developers ("AI researchers") are doing harder stuff than those most other companies