| I went down that path as conceptual learning for building a voice controlled website building system - you can't count on making much money just reselling the software on larry pages computer because he is counting on making much money just reselling software on his computers ... https://teachablemachine.withgoogle.com/ Also.. more seriously, the latency to the google servers and back makes serious applications out of reach. for ex. combine the concept with this https://comma.ai/shop and theres a geniune billion dollars waiting to be thought out another ex. https://www.indus.ai but powered with many cheap https://amzn.to/2Xg4JkB the path forward is to write a learning algorithm and recognize your work as one who creates virtual computers
- screenless computing is a big deal, microsoft surface earbuds will have basic office integration, but imagine if you could your pipeline communicate the contents of pdfs,websites etc. without a screen around theres the obvious consumer products but also imagine being able to work with a computer in new environments
theres also the non obvious: imagine one smartphone camera pointed at a room, every person in that room can access their virtual computers using camera or voice
You can sell kits that that transform rasberry pi's into useful robots - 3d reconstruction is cleaner and more powerful then deep learning
- stitching together screenshots of websites
- learning as environment mirroring its also useful to think of the practical economics of the distribution of the technology ... android phones can go around $70 - $1000 but they essentially run the same free software opensource software so there is not much of dollars that any individual can extract from the distribution of "AI" software What I would do is delve into the technical software reasons behind Googles acquisition of Fitbit. Spoiler: How does fitbit allow developers to build with javascript and css without running a "browser" The point here is Larry Page is eyeing the virtual software developer opportunity and so are you! in order to extract value from the vision recognition opportunity you must spend a lot of energy writing rules it would be efficient if the end user could program their camera on the fly using natural language without internet connection on any device this north star is the makers definition of an agi .. and as a independent business you can't afford to work on a subset of the problem |