In the growing sea of "AI for X" solutions, how does your product differentiate itself from others? E.g. what's the benefit of using Fynk document analysis vs.
let's say vanilla GPT?
Yes, I'm also looking forward to what the crypto engineering community has to say about this algo after it has been peer-reviewed more often. If it holds the promises then it will would be VERY huge.
Very interesting article. I mostly agree with the idea of social fragmentation. I think it is no coincidence that we like to call ourselves "individuals". Maybe the thought reflects our current zeitgeist but it seems almost natural (nowadays) for humans to emphasize our differences / our individualism. However, it seems very interesting, that as much as we like to differentiate ourselves we also tend to some kind of collectivism (e.g. trending sports, technology (iPhone/Android), etc.), even working for the same corporations (Google/Facebook/Apple...) which also appears contrary to the article. It may be true that the speed of change is accelerating but I can't agree with the idea that we already reached a fully fragmented society (yet) which is here to stay.
Another interesting part was the analogy to Ford's vertical integration. The trend definitely went from fully integrated mega corps to fragmented networks of corporations. The car industry is a perfect example. It would be exciting to know if PG thought about Tesla/SpaceX and it's current move towards a higher level of integration (producing more and more parts by themselves) in order to control the quality of their products. It may be sign that we are on the edge or maximum of fragmentation and there are trends emerging which pull us back into consolidation (maybe in another form than it used to).
I've been using this since the very early alpha status. It's a really nice storage solution with a very sophisticated technology too.
For anyone curious about the technology behind here is an early tech talk from one of the founders. It may be a little bit outdated now but still interesting: http://www.youtube.com/watch?v=3xKZ4KGkQY8
Since pebble started shipping and already got nice coverage and feedback from the community it sounds reasonable that apple might work on it's "i" equivalent.
well good question, while importing the fb data from the user we count all the comments,likes, and tagged-photos and aggregate them to a score.. this score is then used to measure how good you know each other.
it took us a time until we figured out how to weight the different parameters but i think the outcome is quite accurate!
Thanks! Privacy is extremely important to us. Our main goal was that everyone has complete control about who can see your data. You can explicitly set each section to private, your contacts, or public. Furthermore, before you haven't shared your profile info to a company they are not allowed to access your data.