@chelsea_janes Awesome moment indeed! Now, if he can just focus on getting that sprint speed up after taking a base on balls, that would really help some of us move on from losing Nimmo 🤣
This piece is interesting. I also think it's deeply flawed. One thing I've noticed, and h/t to @arijoe19 for articulating it so well, is that computer code is a really structured language, and software is a defined problem space with a lot of defined patterns, so software people tend to think everything is a pattern and AI being really good at their job makes them overestimate how well it can do everything else.
The truth is there is a lot more disorder, unpredictability, and humanness in so much of our lives — and our work — that I don't think AI applications will always (or even often?) be able to account for.
Matt, for instance, lists journalism as a job in trouble thanks to AI (not that our industry needs more trouble). And it's true that AI can read documents fast and do incredible research and even write clean copy and edit -- it will probably eliminate or reduce the need for some jobs!
But you know what it can't do? It can't work a source over for years on end. It can't / doesn't / won't bear witness to live events. It reminds me of the famous Good Will Hunting scene, where Robin Williams is chastising Matt Damon about being such a smart ass but not being able to describe what the Sistine Chapel smells like. Damon is the AI.
I say this as someone who has experimented a ton with the latest versions of ChatGPT Matt is writing about here. I can feed it limitless writing of mine from my archives and then have it write a take about a new current events story; I've tried, actually, because if it were good it would save me hours of work every day. But it is *always* useless. Not sometimes; always.
Why? Because the AI still can't predict when certain emotional elements of a story drive me away from a previously held position; because it doesn't know what happened to me that week, or what stories I've read about the topic at hand, or an experience my grandmother had that my family always talked about that informs my view on, say, antisemitism or Israel. It just predicts where I'd land on an issue based on what I've written before, which is actually not a great way to understand humans who are always moving in new and different directions.
It just doesn't know. People think humans are finite numbers of neurons and processes and thoughts and learning but I think that is wrong — we are all constantly changing every day, every second, thanks to new inputs and new experiences.
So yes, I buy that AI will be able to read documents better than your typical lawyer. But can it build a relationship with a client? Or look at a jury and guess what argument might move them to "guilty"? Or know when to cross the lines with a judge or when to step back? I don't really think so. And those limits, to me, are so under-discussed in this dialogue that it kind of discredits everything else.
Before the Little League season starts, I’m making a promise to myself as a dad and coach…
A note to self on how I want to show up for my son this spring. ⚾👇
Japan vs Orix Buffalos was watched by 36 million people in Japan
Japan vs Korea 55+ million
Japan vs Italy 62.5 million
Most watched World Series game: 54.5 million in 1980
Good chance USA vs JAPAN is the most watched baseball game of all time
My Honest Reality
March 19, 2023
Welcome to the 2023 baseball season.
Opening Day is around the corner. Pitchers are almost ready. Position players are locked in. Fans share the optimism a new season brings.
But this isn't just another season.
This is likely my last.