A: Hey there! Guess what I've been doing lately?

B: What's up? Not much here. What about you?

A: So, me and my roommate have been working for this AI company called Turing Labs. They hired us to make videos of ourselves while we do household chores and art stuff.

B: Really? That sounds interesting! So, what's the catch?

A: Well, we wear these cameras on our heads and sync them together. The AI learns from multiple angles of the same behavior. It can be a bit tough at times, but they pay us well. And it lets me spend most of my day making art!

B: That sounds intense! How long do you have to work each day?

A: They wanted five hours of synced footage per day, but I found out I need seven hours for breaks and recovery. Otherwise, it gives you headaches and leaves red marks on your forehead.

B: Wow, that sounds challenging! But Turing isn't interested in teaching the AI to paint or cook or whatever we do, right?

A: Exactly! They want the AI to learn more abstract skills like sequential problem-solving and visual reasoning. So they're also hiring chefs, construction workers, electricians, anyone who works with their hands. It helps them get a varied dataset for pre-training.

B: That makes sense. I heard some companies are willing to pay big bucks for good quality data these days.

A: Yeah, that's what's happening. They need high-quality, curated data now instead of scraping it from the web or using low-paid annotators. Turing is even paying us top dollar for our work!

B: That's pretty cool! I wonder if other companies are doing something similar...

A: Yep! For example, there's this email company called Fyxer that uses AI models to sort emails and draft replies. They found the best approach is to use small models with tightly focused training data. Instead of farming out the task to contractors, they take on the work themselves. It's all about the quality of the data, not the quantity!

B: Whoa, that sounds like a lot of work! But I guess it pays off if you have a good product.

A: Definitely! They collect and curate their data sets carefully to get an edge over competitors. And since they use AI, they can also generate synthetic data for training purposes. So it's important to keep the original dataset as high-quality as possible.

B: Makes sense. I'm glad you're getting paid well and learning new things! Keep me updated on your progress, will ya?