Evidence receipt / preference
Published · transcript-backedSarah Saab: preference
18 Oct 2025 Machine Learning Street Talk The Secret Engine of AI - Prolific [Sponsored] (Sara Saab, Enzo Blindow)
“I love the word orchestration because it has the root word orchestra, which is kind of this beautiful, collaborative, you know, symphonic word, and I think that to me is the, you know, correcting a 5 year old over and over again, or correcting an 18 year old or a 25 year old about life, right, over and over again.”
Source trail
Everything needed to verify it.
- Speaker
- Sarah Saab
- Attribution
- Verified speaker
- Claim type
- preference
- Recorded
- 18 Oct 2025
- Publisher
- Machine Learning Street Talk
Transcript context
…Yeah. I do because it's that McCordack effect, isn't it? You know, when when something is, you know, trivially easy to mechanize, no 1 actually thought it was intelligent. But I think the Turing test is bad because we know that in my opinion, language models aren't actually that intelligent, yet we've passed it with flying colors. So we need something better than that. But it it does go to show though just from that kind of behaviorism thing and and benchmarking that when when a machine does something, that's not the full story, is it? Like, we need to know why did it do it. There's a lot of speculation about how human in the loop, steps in model development, and, oversight will will will change over time. I think there's a really credible future in which we as humans end up taking a coaching, teaching, and, guidance stance, to the many, many myriad of machines in our lives in the next 5 or 10 years. I love the word orchestration because it has the root word orchestra, which is kind of this beautiful, collaborative, you know, symphonic word, and I think that to me is the, you know, correcting a 5 year old over and over again, or correcting an 18 year old or a 25 year old about life, right, over and over again. But if that is the world of work that we are moving towards as humanity, it strikes me as really fundamentally important that we put the right, you know, baseline working conditions in now for how that work will evolve over time. And there are some amazing writers on the topic of ethics of crowd work and click work like Mary Gray and the team at Fairworks who've written a recent book. I'm very inspired by by that thinking when it comes to how our our jobs will evolve in the next 5 or 10 years. I I suppose in a sense, this is the ultimate evolution of the gig economy, but for highly specialized work. Right? So I can imagine a future where there's just there's just a marketplace of of things you can do. You can just wake up in the morning and you can just say, I'm really interested in, you know, climate science or something like that. And and you can just do a do 5 units of work. Right? And then and then that's your day done, and and it can be quite pedagogical. Right? Because you can actually learn things that you're interested in doing.…
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