[peterburkimsher]

The article is calling us to teach AI to read words and phrases and look for the meaning, not just a statistical correlation.

I put dictionary data into Pingtype English to try to parse phrases instead of just words. e.g. "pick [something] up". The purpose is to do word-for-word translation to Chinese as an educational tool. It's not perfect, but the dictionary is editable. You can contact me if you want to discuss new ways of extending the features (e.g. data from UrbanDictionary, movie subtitles, etc).

http://pingtype.github.io/english.html

I also want to correct the author that CERN does not have billions of dollars of funding. There's only about 5000 staff, and the other 10,000 people working there are funded by universities elsewhere who send them to CERN to do the research.

[jlavine]

Do you know about Linguée? It's a database of human-translated texts with flexible search by phrase. One of its language pairs is English-Chinese. Reverso is the same idea, but doesn't have Chinese.

[lispm]

The CERN budget is roughly a billion Euro per year.

[homarp]

some numbers from https://press.cern/facts-and-figures/budget-overview

in 2016, 1127.2 million CHF or 1,163,675,662.22 USD

[giardini]

A billion dollars' research into AI would be more beneficial than another billion spent on CERN.

The Standard Model covers well over 99% of known physics already. Other moneys are being wasted paying students and professors to study string theory w/o any experiments possible.

Let's develop some true AI and let it close the gap. Two birds, one stone. [And maybe we can find out how we do analogies, at the same time!]