They discuss Systrom’s (along with his co-founder, Mike Krieger‘s) insistence that Instagram be a platform which ‘prioritises niceness’, to the extent that they used to delete comments which weren’t nice themselves.
Since Instagram has a grown a little to over 1 billion users it is no longer feasible to manually police niceness and moderate harmful speech.
Instagram is, therefore, turning to machine learning (using Facebook’s DeepText) to weed out negative and harmful comments. They discuss the ways in which Instagram is dealing with the issues that come with doing machine learning on a corpus that has biases built into it.
As Lyft’s director of product, Taggart Matthiesen says he’s now completely focused on autonomous cars — but that doesn’t mean he’s not thinking about drivers.
“Drivers have always been part of our family, they have been core to our service,” Matthiesen told Recode’sJohana Bhuiyan on the latest episode of Recode Decode. “As far as I’m concerned, they will continue to be that. Over time, technology will give us the opportunity to provide additional services on our platform, whether that is a concierge service, whether that is an in-vehicle experience … these are all things that we will slowly evolve and work with our drivers on.”
Another great piece from Tom Simonite (Wired). He discusses the use of PSA by the San Francisco Superior Court, an algorithmic system which scores the risk of accused parties in court. The initiative was intended to prevent poor people unable to afford bail from needlessly lingering in jail. But a memorandum of understanding with the foundation bars the court from disclosing “any information about the Tool, including any information about the development, operation, and presentation of the Tool.” Take a look at the article
for more about the ethical questions around this technology.
Buffering and pixelation are the scourge of streaming video. It ruins the experience for viewers, robs advertisers of revenue as said viewers tune out, and causes technical headaches for streaming services which have to engineer solutions. But a new neural network AI from MIT CSAIL
may be just what the internet needs for velvety smooth streaming services.
CSAIL’s AI, dubbed Pensive, does not rely on a model. Instead it’s used machine learning to figure out when (and under what conditions) to switch between rate and buffer-based ABRs. Like other neural networks, Pensive uses rewards and penalties to weight the results of each trial. Over time, the system is able to tune its behavior to consistently receive the highest reward. Interestingly, since the rewards can be adjusted, the entire system can be tuned to behave however we want.
Nearly everything in your home — including air-conditioners, thermostats, lights and garage doors — can be connected to the internet and be remotely controlled with a mobile device or smart speaker. But setting up a so-called smart home can be mind-boggling: There is a plethora of different accessories that work only with certain products, and some work better than others. Here’s a guide to help you sort through the jumble and become acclimated to your first voice-controlled smart home. Thanks, Brian X. Chen for putting this together.
Vision is our most dominant sense, which explains why 65% of humans are visual learners. The majority (90%) of the data that our brain processes and analyzes is visual. Our brain actually processes images 60,000 times faster than text!
Courtney Wilson (Director of Marketing at CloudFactory) argues that for artificial intelligence to progress, it needs to become more human. To do that, it requires more high quality visual data and sophisticated algorithms to translate information into something meaningful. “Many believe that artificial intelligence is the future of business and innovation, and that is most likely true, but in many ways that future is dependent on accurate visual data.”
They are now taking applications for their new MSc User Experience Engineering starting Sept 2018 (1-year full time).
This programme will explore how people experience the world around them, particularly when using technology. You will learn how each layer of technology – from core hardware through to the way that media is handled – can affect user experience in practical tasks. Building on this, you will be given the skills for transforming user requirements into appropriate technical solutions.
Dennis R. Mortensen (CEO and founder, x.ai) does not believe in a doom and gloom future in which robots will take all of our jobs. In his recent Quartz article, he discusses why he does not buy into this picture.
Technical skills will no doubt remain important in the future of work, but as AI allows us to automate repetitive tasks across many industries, these will in many cases take a back seat to soft skills.
AI isn’t as smart as you think
Humans are smarter than you think
when AI starts taking over more tasks, it will make us better at our jobs, and better at being human