A short conversation (YouTube video) exploring two main points: Speaker A argues that predictable, repetitive meals make calorie counting simpler and may reduce overall intake by limiting access to varied foods; Speaker B pivots to technology, and Speaker A describes using GPT-4.0’s image recognition to identify missing parts and the brand of a water filter from a photo.
Is true that if you have a predictable set of meals, right, I have my yogurt with my berries in the morning and I got my lean protein on my whole grain sandwich for lunch. I eat the same thing for dinner. If you're trying to count and control calories, that makes it very simple and also makes it more likely that you're going to have fewer types of foods around the house. Because one of the things that dietary diversity can cause is the more access to foods that you have, the more calories you're likely to eat.
So you're saying going to GPT now, you can actually scan your food in the chat GPT.
GPT4.0 is the new version that has image recognition capabilities. So a couple of cool things like I was out hunting about three weeks ago and before I went out, I found one of my water filters that I was going to take out there with me and there were pieces missing. I tell there were pieces missing because there was like a tube that was supposed to come out of it and then a clamp on the end of that. So I took a picture of it and I uploaded it to GPT4O. I said, tell me what is missing from this water filter. Tell me the brand.
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