The only thing faster than the pace of AI is the pace of AI news. There’s something in it for everybody.
If you’re worried about existential AI risk, look no further than Anthropic’s Claude Opus resorting to blackmail when engineers threatened to shut it down.
On the flip side, if you want to comfort yourself that this is all hype, you can. Early research in Denmark doesn’t yet show changes in productivity or pay.
The opposite side of this story is about how 25% of the most recent Y Combinator start-up batch has 95% of its code written by LLMs.
And if you’re thinking about how robots might take over human jobs, look no further than the dairy robots who are transforming bovian care or Waymo’s better-than-human safety record.
There’s some data to advance whatever narrative you’d like to believe should be advanced. We aren’t yet at the stage where we’re seeing meaningful consensus yet. It is early.
In this time, what’s most important is to treat these datapoints as soft inputs and instead to make sure we’re doing our own due diligence.
If there’s any part of your job that you might do differently with the help of AI, it is important to try doing so… immediately. If you work in technology and there is a system that is worth replacing with a large language model, it is worth doing so immediately as well.
My read is that the idea that “the future is here, it is just not evenly distributed” is truer than ever. And the more we experience this future, the more likely we’ll be able to shape it for ourselves and those around us.
