I feel that this is a data collection activity (and thus, more advanced future models and usecases) disguised as a social media. People will provide feedback in the form of clicks/views on AI generated content (better version of RLHF) on unverified/subjective domains.
Biggest problem OpenAI has is not having an immense data backbone like Meta/Google/MSFT has. I think this is step in that direction -- create a data moat which in turn will help them make better models.
Hey, cool idea. Would you be able to tell me the tech stack for the whole app? I want to build a similar application for some other use case. I have built a static map with all my labels using leaflet in Python. To turn it into something like you have, what technologies will I need?
I want to learn more about how to rebalance my portfolio. I started with ETFs and MFs and then bought some good stocks when they were low. But I have never rebalanced it. Would you be able to share some resources about it? Also, if possible, some pointers about your script.
I noticed that the two bars were breaking differently under the hydraulic press. One was crumbling and the other (manufactured) was exploding. There was no mention of this effect in the video. It couldn't be the due to force because in the 2nd half the manufactured bar broke at a lower force. Could this factor has consequences on how manufactured sand concrete behaves with natural phenomenon (hurricanes, earthquakes, fires, etc.)
Biggest problem OpenAI has is not having an immense data backbone like Meta/Google/MSFT has. I think this is step in that direction -- create a data moat which in turn will help them make better models.