If you’ve watched any Olympics coverage this week, you’ve likely been confronted with an ad for Google’s Gemini AI called “Dear Sydney.” In it, a proud father seeks help writing a letter on behalf of his daughter, who is an aspiring runner and superfan of world-record-holding hurdler Sydney McLaughlin-Levrone.
“I’m pretty good with words, but this has to be just right,” the father intones before asking Gemini to “Help my daughter write a letter telling Sydney how inspiring she is…” Gemini dutifully responds with a draft letter in which the LLM tells the runner, on behalf of the daughter, that she wants to be “just like you.”
I think the most offensive thing about the ad is what it implies about the kinds of human tasks Google sees AI replacing. Rather than using LLMs to automate tedious busywork or difficult research questions, “Dear Sydney” presents a world where Gemini can help us offload a heartwarming shared moment of connection with our children.
Inserting Gemini into a child’s heartfelt request for parental help makes it seem like the parent in question is offloading their responsibilities to a computer in the coldest, most sterile way possible. More than that, it comes across as an attempt to avoid an opportunity to bond with a child over a shared interest in a creative way.
So in the spring I got a letter from a student telling me how much they appreciate me as a teacher. At the time I was going through some s***. Still am frankly. So it meant a lot to me.That was such a nice letter.
I read it again the next day and realized it was too perfect. Some of the phrasing just didn’t make sense for a high school student. Some of the punctuation.
I have no doubt the student was sincere in their appreciation for me, But once I realized what they had done It cheapened those happy feelings. Blah.
That’s the problem with how they are doing it, everyone seems to want AI to do everything, everywhere.
It is now getting on my own nerves, because more and more customers want to have somehow AI integrated in their websites, even when they don’t have a use for it.
I’m curious, if they had gone to their parent, gave them the same info, and come to the same message… would it have been less cheap feeling?
And do you know that isn’t the case? “Hey mom, I’m trying to write something nice to my teacher, this is what I have but it feels weird can you make a suggestion?” Is a perfectly reasonable thing to have happened.
I think there’s a different amount of effort involved in the two scenarios and that does matter. In your example, the kid has already drafted the letter and adding in a parent will make it take longer and involve more effort. I think the assumption is they didn’t go to AI with a draft letter but had it spit one out with a much easier to create prompt.
… But why did it cheapen it when they’re the one that sent it to you? Because someone helped them write it, somehow the meaning is meaningless?
That seems positively callous in the worst possible way.
It’s needless fear mongering because it doesn’t count because of arbitrary reason since it’s not how we used to do things in the good old days.
No encyclopedia references… No using the internet… No using Wikipedia… No quoting since language and experience isn’t somehow shared and built on the shoulders of the previous generations with LLMs being the equivalent of a literal human reference dictionary that people want to say but can’t recall themselves or simply want to save time in a world where time is more precious than almost anything lol.
The only reason anyone shouldn’t like AI is due to the power draw. And nearly every AI company is investing more in renewables than anyone everyone else while pretending like data centers are the bane of existence while they write on Lemmy watching YouTube and playing an online game lol.
David Joyner in his article On Artificial Intelligence and Authenticity gives an excellent example on how AI can cheapen the meaning of the gift: the thought and effort that goes into it.
In the opening synchronous meeting for one such class this semester, I was asked about this policy: if the work itself is the same, what does it matter whether it came from AI or not? I explained my thoughts with an analogy: imagine you have an assistant, whether that is an executive assistant at work or a family assistant at home or anyone else whose professional role is helping you with your role. Then, imagine your child’s (or spouse’s, I actually can’t remember which example I used in class) birthday is coming up. You could go out and shop for a present yourself, but you’re busy, so you ask this assistant to go pick out something. If your child found out that your assistant picked out the gift instead of you, would we consider it reasonable for them to be disappointed, even if the gift itself is identical to the one you would have purchased?
My class (those that spoke up, at least) generally agreed yes, it would be reasonable to expect the child to be disappointed: the gift is intended to represent more than just its inherent usefulness and value, but also the thought and effort that went into obtaining it. I continued the analogy by asking: now imagine if the gift was instead a prize selected for an employee-of-the-month sort of program. Would it be as disappointing for the assistant to buy it in that case? Likely not: in that situation, the gift’s value is more direct.
The assistant parallel is an interesting one, and I think that comes out in how I use LLMs as well. I’d never ask an assistant to both choose and get a present for someone; but I could see myself asking them to buy a gift I’d chosen. Or maybe even do some research on a particular kind of gift (as an example, looking through my gift ideas list I have “lightweight step stool” for a family member. I’d love to outsource the research to come up with a few examples of what’s on the market, then choose from those.). The idea is mine, the ultimate decision would be mine, but some of the busy work to get there was outsourced.
Last year I also wrote thank you letters to everyone on my team for Associate Appreciation Day with the help of an LLM. I’m obsessive about my writing, and I know if I’d done that activity from scratch, it would have easily taken me 4 hours. I cut it down to about 1.5hrs by starting with a prompt like, “Write an appreciation note in first person to an associate who…” then provided a bulleted list of accomplishments of theirs. It provided a first draft and I modified greatly from there, bouncing things off the LLM for support.
One associate was underperforming, and I had the LLM help me be “less effusive” and to “praise her effort” more than her results so I wasn’t sending a message that conflicted with her recent review. I would have spent hours finding the right ways of doing that on my own, but it got me there in a couple exchanges. It also helped me find synonyms.
In the end, the note was so heavily edited by me that it was in my voice. And as I said, it still took me ~1.5 hours to do for just the three people who reported to me at the time. So, like in the gift-giving example, the idea was mine, the choice was mine, but I outsourced some of the drafting and editing busy work.
IMO, LLMs are best when used to simplify or support you doing a task, not to replace you doing them.
