True, but printing presses errored in consistent ways and could easily be fixed by someone literate in the language being printed. The only black boxes were the cases containing letter stamps. The smashing was happening because of what was being printed, and not because suddenly statistically relevant portions of the workforce were now unemployed and possibly unemployable. The situation is a bit different…
Not that different than now. Are people pushing back against AI when it’s used to accelerate cancer research data? The pushback is when people think it’s being used against them, just like the printing press.
People are pushing back against widespread abuse of LLM technology in workflows it’s a poor fit for and generates poor results for that are being built on current cost assumptions that are being massively subsidised by those pushing LLM solutions. When they flip to the “profit” stage of the plan and costs go up 5x or even 10x those workflows are going to look a lot less attractive for the poor results they generate. It’s also being used as a smoke screen for layoffs it’s not really responsible for which isn’t helping it’s image.
That’s more of a management issue rather than an AI issue. When any technology or process improvement is introduced, it is key to be able to measure it so the company can know their roi.
True, but printing presses errored in consistent ways and could easily be fixed by someone literate in the language being printed. The only black boxes were the cases containing letter stamps. The smashing was happening because of what was being printed, and not because suddenly statistically relevant portions of the workforce were now unemployed and possibly unemployable. The situation is a bit different…
Not that different than now. Are people pushing back against AI when it’s used to accelerate cancer research data? The pushback is when people think it’s being used against them, just like the printing press.
People are pushing back against widespread abuse of LLM technology in workflows it’s a poor fit for and generates poor results for that are being built on current cost assumptions that are being massively subsidised by those pushing LLM solutions. When they flip to the “profit” stage of the plan and costs go up 5x or even 10x those workflows are going to look a lot less attractive for the poor results they generate. It’s also being used as a smoke screen for layoffs it’s not really responsible for which isn’t helping it’s image.
That’s more of a management issue rather than an AI issue. When any technology or process improvement is introduced, it is key to be able to measure it so the company can know their roi.