nicklovescode

A few of us think the project is very much worth upvoting! The bot checker should appreciate that :)

The mentorship pool is mostly focused on AI and related fields, and it's high leverage for relatively few resources invested (check out https://aigrant.org/)

it was posted earlier, but never made it on the top 10 pages for reasons we couldn't figure out despite getting plenty of upvotes on /newest. To check if it was actually alive we posted a couple dummy comments after a while, and then abandoned the post.

(disclosure, I'm a mentor and the post was sent to a few mentors, which likely tripped some bot checker)

I think it’s an open question how the internet will support research collaboration. There’s clear success stories such as Wikipedia when it comes to mass scale contribution, but fewer specific research innovations outside of open source projects. My best guess is that the types of collaborations will simply be different (The Bazaar and The Cathedral documents this well).

The internet is arguably better at flourishing novel ideas than Bell Labs was. For instance, machine learning Twitter is an active and relatively small community. Excellent ideas from obscure researchers often rise to prominence within hours when retweeted by a more followed researcher. This wouldn’t happen as often in a building, and the type of idea discovery that Twitter allows is just the tip of the iceberg. I think it’s worth realizing the significant downsides to in person collaboration (nothing is saved, it's entirely flow vs stock, you need enough status to be hired in the first place).

I was in the first class of the Thiel Fellowship, a decentralized program that tended to centralize itself anyway in pockets (groups of us rented big houses and lived together). The combination of in-person and distributed was a great midway, and I predict the Shannon Fellowship will be similar.

I'm excited to see what the Bell Labs of the Internet looks like, and I think it's too early to say decentralization will simply not work.

(disclosure: mentor for Shannon Fellowship)

I think the bot was setup to pause if it ran into any lag or other minor issues (was at the event and heard this from someone there)

Seems in a similar vein to the Thiel Fellowship, but focused on particular industries

I had the same experience with JavaScript enabled

AllenNLP’s recent work ELMo is very good at this task. Check it out!

Is it possible to download these? Would love to play with some Dynamic Topic Modeling stuff using them to see changes over time!

Have you heard of word mover’s distance? It works really well!

Anyone know why they trained on TPUs? My understanding is that the main benefit of a TPU is inference. Is this not true?

I didn't say I was pessimistic on it :)

I don't have time at the moment to search it out, but in a previous speech-synth thread there's an in depth discussion of this. In short, people were pessimistic on wavenet as audiobook because audiobooks are all about knowing the story and speaking accordingly

Adding matching of the laplacian to the optimization could be really helpful for this. I found this paper the other day and really enjoyed it https://arxiv.org/abs/1707.01253

One interesting direction would be to see if you could use various parts of an email as input features.

You could likely probabilistically guess gender or age from many addresses, and I'm sure domain (yahoo, gmail) changes the distribution as well.

Great read. Facebook doesn't deserve all this flack directed at them, and I wish more people offered this kind of technical breakdown

For those who haven't seen Bret Victor's incredible Inventing on Principle - I think you'd like this talk if you enjoyed Alan's: https://vimeo.com/36579366

used to work in related area, would love to talk: cammarata.nick@gmail.com

^ IF == Intermittent Fasting

I've been thinking along similar lines recently, but don't have fully formed enough thoughts to write. Would love to brainstorm if you're in the bay area at some point. (email in profile)

My knowledge of neurobiology is weak.

Having received a full callosotomy, how are the hemispheres able to communicate even at 1 bit / s?

Secondly, how is that estimate generated?

Similarly, I think it's important to think of jobs in terms of behavior requirement rather than income levels.

For instance, it's well documented that radiologists are going to be one of the first jobs that suffer as a result of ML, due to it being image recognition.

would appreciate a [2015]. Into this subject and thought it was a new result.

thanks for your response!

hey Dawson - would love if you could go into more technical depth on how things work. Cool product!

Is there a demo or video of them using this? Would enjoy playing with it.

https://twitter.com/paulg https://twitter.com/sama

If you look at their respective Tweets they seem to agree.

Haven't looked deep into the thought behind the "money is speech" situation, but it seems extreme to say that giving money is the same as talking.

Let's assume Alice supports a candidate not because of their general positions but because of a certain niche position that person A thinks is really important.

If you hate a certain position the candidate believes but person A might feel ambivalent about, is it fair to redirect that anger to Alice?

The major difference I see between the candidate and Alice is simply that if another candidate that came along without the position you may hate but still having the niche belief, they may switch quite quickly.

I'm using plotly. Do you have specific technical info here on how to turn it off and how it's sent to them? Do you have your contact with the project maintainers.