If you wear black T-shirts, are you even a white-collar worker?
Lots of expected things didn't happen, such as a viable educational software market, but things like Arm and the UK video games industry made up for that. How many people were put out of work by automation is impossible to say, compared to those put out of work by mismanagement and industrial decline. The service sector grew at a rate unimaginable without the use of IT, and economists will grow fat for years to come arguing exactly what happened.
A crucial difference is that what processors do well and do badly is clear. LLMs far less so. They deal in knowledge but have no idea about truth. They mix facts and hallucinations. They amplify bias. They are great at talking to people, but have no idea what effect they will have. In short, the technology is far less mature than its breakneck adoption would imply, and how things will evolve over the next five years is unknowable. This, frankly, is our salvation.
So here's the plan to make ready for the"AI Revolution." Expose students to the technology, not to replace teachers or encourage dependency, but to be skilled in critical analysis of what it does and how it does it. Encourage those in work that may be affected to find what each new iteration is good at and bad at for their particular specialties. This has three facets: yes, LLMs may be good for you and you should know how.
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