he model produces better work. Some of my peers believe that large language models produce strictly better writing than they could produce on their own. Anecdotally, this phenomenon seems more common among English-as-a-second-language speakers. I also see it a lot with first-time programmers, for whom programming is a set of mysterious incantations... See more
Clayton Ramsey • I'd rather read the prompt
The perceived need to learn something new is inversely proportional to the rank of a manager. Those at the top feel obliged to pretend to omniscience, and therefore refuse to learn anything new even if the cost of doing so is success.
Russell Ackoff • The Systems Thinker – A Lifetime of Systems Thinking - The Systems Thinker
LLMs combine what they “learned” in training with any new context you give them. There are many ways to give the AI additional context, the most common is in the prompt that you provide (“You should act like a marketer and help me respond to a request for proposal”), or any documents you upload to the AI.
Ethan Mollick • Which AI should I use? Superpowers and the State of Play
Talking about large language models
arxiv.orgwhen everybody else is using LLMs to think, read and write, the biggest differentiation you’ll have is by honing your own brain.
Use LLMs, but do your own thinking, reading and writing on the side.
