A Harvard Business Review study is answering the question ‘what will employees do if AI saves them time at work?’ The answer: more work.
A Harvard Business Review study is answering the question ‘what will employees do if AI saves them time at work?’ The answer: more work.
I honestly used AI for something other than summarizing a meeting yesterday. It failed so miserably that I’m really not apt to use it again. Maybe I was wrong to assume it could summarize a simple graph into a table for me.
i used it for the first time a few weeks ago, cant trust the results as they dont verify the actual sources where they get numbers/cost from. it was about an ACA plan.
AI has a lot of pitfalls. It helps knowing how they work: tokens, context, training, harnesses and tools,… Because then nonsense like this makes a lot more sense; same for “count the R’s in strawberry” type things. (For the record, I later told it to use JavaScript to manipulate strings to accomplish this task and it did a much better job. Still needed touchups of course)
They work best when you know how to accomplish whatever it is you’re asking it to do, and can point it in a direction that leverages its strengths, and avoid weeknesses (often tied to perception and dexterity). Something like ASCII art is nearly a worst-case scenario, aside from maybe asking a general purpose LLM to do math.