Beyond the words: predicting user personality from heterogeneous information
Predicting users personalities based on response patterns, emojis, avatars, and text. I wonder how successful something like this could be exploited in an e-commerce scenario.
Amazing insights into a new world: ghost kitchens and all the other things Uber could do.
Practicing radical honesty diffuses tensions and discourages backstabbing; it builds understanding and respect.
Great piece on the state of the music industry
So, one question for Snapchat is whether you can get to a billion users without being an index, no matter how many new things you create? Is the risk not that it gets overtaken by Facebook but that it can't generalise enough? That's obviously a specific concern with the specific character of the user experience today ('too hard for anyone over 25'), but it's also a much more basic question with the character of the product vision - can you scale from having insight and product vision around 150m people to having them for everyone?
Second-time entrepreneurs are astronomically better than first-time entrepreneurs in building teams and creating startups that succeed. The number one reason startups fail is people problems, and the second time around, entrepreneurs realize this.
grocery stores partnering with Amazon to use Amazon Go on a leased basis. The new model would be one where Amazon employees deploy and manage “Amazon Go” infrastructures in other grocery stores, working as infrastructure providers to the retailers.
This one was like using a Nokia from 2007 - they've added all the smart stuff, badly.
Russia is little more than a ghastly hybrid of an overblown police state and a criminal network with an economy the size of Italy — and the world’s largest nuclear arsenal.
The ELI5 of Deep Learning
The simplest description of a neural network is that it’s a machine that makes classifications or predictions based on its ability to discover patterns in data. With one layer, you could find only simple patterns; with more than one, you could look for patterns of patterns
Having fun with neural nets again
A child born when iPhone was announced will be 10 years old in 2 months, after all.
What people want is all the relevant content, not just what you’re incentivized to offer on special terms because of your ownership structure.
History of Machine Learning
voice looks like the ultimate unlimited, general purpose UI, but actually only works if you can narrow the domain.
The wide-reaching impact of the electrification of transportation. Good read.
one should think about the image sensor as an input method, just like the multi-touch screen
Immature poets imitate; mature poets steal; bad poets deface what they take, and good poets make it into something better, or at least something different.
Interesting, even though rather dystopian vision of what AR could become one day.
Stickers coming to iMessages is a business opportunity.
We've gone from delivering video with Flash to delivering Flash with video. That is, video is a new HTML - a new content delivery format, and not necessarily about live action at all.
The smartphone supply chain powers everything - AI lights everything up.
The inbox is where it’s really at.