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My goal is also to democratize AI, in particular AI research. I believe that every developer should have at their disposal the same kind of tooling and, even mo

My goal is also to democratize AI, in particular AI research. I believe that every developer should have at their disposal the same kind of tooling and, even more important, the same ability to intersect their data with the world's data. Engineers at Facebook, Google, Microsoft and so on can test their models or even enrich them by using the Facebook, Google or Bing dataset. Independent entrepreneurs cannot do the same thing with the same ease. If we want to reach general AI any time soon, indie entrepreneurs must be let in to play. My strategy is to build a service, free for non-profits to use, that would solve the problem of "if I only had the same data Google engineers had, this product would be perfect". Here is how it would work. 1. Go to my webpage and register a site you want me to index for you. The site URL you enter may already have been registered by another user, but to be sure the data is in my index, register it again. I will now continue to index this site every 24 hours for as long as I live. You need higher frequency indexing? Sure, no problem. You will owe me for the additional cost. 2. Download a client of choice from the website, we have them in c#, java, python, R ect. The client will let you query your own private data as well as the data in the cloud (the data I'm now generating and refreshing every 24 hours). The query language will also let you join or intersect between the two datasets. In fact, due to the nature of RPC you can use your local data and all of the data I'm generating and refreshing, as if it was your data. 3. In the end, I will be indexing such a large part of the internet that there will not be much use for Google anymore, or ads. That's the vision. I'm not American and can't see how I'm a good fit for the YC program this summer. However I will be needing funds for cloud machines pretty soon and so far I've found noone at OpenAI to contact. Is there anyone from OpenAI reading this? This should be right up your alley. Care to speak?

zodiac 10y ago
I have a question about your site - "Google engineers" have a lot more data than just "Google's index of the web", they have street view data, data from people doing captchas (including the new street sign ones), click data for how people use their products (gmail, maps), maybe android autocorrect data, speech recognition etc - how would you provide access to those?
- mackan_swe 10y ago
  I wouldn't provide access to most of those data because I don't have the means to and I wouldn't want to either. My businss strategy is to build "strong NLP" without having to treat users as bags-of-valuable-data that I can sniff. But to integrate with a open map service would absolutely fall within the scope of my offering. The research we would do in my team would be cutting-edge. But we would never even attempt to achieve what Google is achieving when they sniff their Android users. Why would we be cutting-edge? I don't know, but that would be our aim. Here's an example of what we would be doing in the NLP domain: "Give me the latest sales numbers." parse: Give=exec latest=DateTime.Now-x sales=sp_daily_sales exec: exec sp_daily_sales '2017-03-23'

zodiac 10y ago

I have a question about your site - "Google engineers" have a lot more data than just "Google's index of the web", they have street view data, data from people doing captchas (including the new street sign ones), click data for how people use their products (gmail, maps), maybe android autocorrect data, speech recognition etc - how would you provide access to those?

mackan_swe 10y ago
I wouldn't provide access to most of those data because I don't have the means to and I wouldn't want to either. My businss strategy is to build "strong NLP" without having to treat users as bags-of-valuable-data that I can sniff. But to integrate with a open map service would absolutely fall within the scope of my offering. The research we would do in my team would be cutting-edge. But we would never even attempt to achieve what Google is achieving when they sniff their Android users. Why would we be cutting-edge? I don't know, but that would be our aim. Here's an example of what we would be doing in the NLP domain: "Give me the latest sales numbers." parse: Give=exec latest=DateTime.Now-x sales=sp_daily_sales exec: exec sp_daily_sales '2017-03-23'