First result from Adept: giant NNs that can query DBs, make plots, and use APIs
twitter.com1 pointsby jluan0 comments
1) on a publisher video server, which videos were about automotive?
Can we package those ads off to car brands?
2) how many people took photos of my brand's product on instagram
after our marketing campaign?
3) what were pedestrian traffic patterns like outside
our store based on the CCTV system? * Interest in teaching mobile devices, robots, and webapps new tricks.
* Interest in helping computers interface with the unstructured real world.
* Desire to work with the whole gamut of technologies,
and the desire to learn what you don’t know.
* Hunger. Both for success, and for meals with the team.
* Must be highly proficient with either Python or both Rails and Ruby.
Must be willing to learn the other.
* Must be comfortable working and scripting in a Linux command line environment.
* Bonus: proficiency in JavaScript and frontend web design, or
skill and interest in designing high-performance backend cloud infrastructure.
* $5000
* 12 weeks
* Breakfast and lunch provided
At a high level, here's how we did it: 1) We're using the Twitter Streaming API to find every publicly accessible live-stream. 2) We extract the live stream using a version of PhantomJS that still supports Flash. 3) Each live stream is being sent to Dextro's livestream API endpoint, which streams back chunked JSON of what's happening in the stream in real time. (Check out some low level outputs at http://b.fastcompany.net/multisite_files/fastcompany/imageca...) 4) The results are aggregated and sent on a pub/sub socket to each client.
A background task crunches the live data into the "most viewed" and "most streamed" aggregate stats.