adamcanady

Joined 13 years ago

Karma
163
Submissions
79
Member since
Mar 6
github.com/adamcanady twitter.com/adamcanady
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Recent submissions

Comment · 2 years ago
This is neat but the map by public transport time is probably non-euclidean because subways are like wormholes.
Comment · 6 years ago
Apparently this isn't the same Krebs as https://krebsonsecurity.com/ [0]

[0] Funny enough, the website has a broken SSL cert at the time of writing.

Comment · 6 years ago
I recently did this using Electron's BrowserView.

I had to step away from using electron because I encountered segfaults like `Received signal 11 SEGV_MAPERR 000000000060` just on visiting cnn.com and clicking one of their nav links (without much going on otherwise, which I found kinda crazy).

Electron also only recently added support for PDFs, and it's still a little buggy. I was able to get around most of these with pdf.js.

I ended up using a combination of chrome extension for injecting stuff into webpage + rpc to a local node.js server running inside an electron app (for convenience). I only made this for personal use, so I'm ok with <arbitrary_caveat>s.

Comment · 6 years ago
Comment · 8 years ago
Didn't realize this system used a CVT-like system to generate electicity. I've generally been curious how this system seems to be significantly more complex yet more reliable than many modern internal combustion engine drivetrains. (My personal perception, haven't done much research to look it up).
Comment · 9 years ago
Comment · 9 years ago
How does it work? Searching for book store (https://www.closient.com/?q=book_store the underscore was autocompleted) gave me results that were 1200+ km away from my current location. Other queries did the same.
Comment · 9 years ago
Comment · 9 years ago
I work on Google Search. Having one search engine per country doesn't seem like the correct approach to the problem.

> Every country has a mammoth collection of valid results for your query.

Having seen the corpus of content available from each language, this is categorically false. Consider Wikipedia, which is a fairly ubiquitous information source on the web that provides answers to tons of searches. English documents: 5.4M, Romanian documents: 376k.

Perhaps the solution to the OP's woes is more tools for filtering. This post conflates the ideas between language and country. Search typically returns to you results and search features that are in the query language. Today's solution where filtering is done through query refinement and query operators seems to cover a lot of use cases already.

Further, by having an integrated product, ML models can learn behaviors specific to certain locales where those behaviors differ from region to region, and balance with more universal behaviors that apply to more than one region.

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