[Essay] Known Unknowns | New Dark Age by James Bridle | Harper’s Magazine
This cautionary tale, repeated often in the academic literature on machine learning, is probably apocryphal, but it illustrates an important question about artificial intelligence: What can we know about what a machine knows? Whatever artificial intelligence might come to be, it will be fundamentally different from us, and ultimately inscrutable. Despite increasingly sophisticated systems of computation and visualization, we do not truly understand how machine learning does what it does; we can only adjudicate the results.
“For people who want to make sure the Web serves humanity, we have to concern ourselves with what people are building on top of it,” Tim Berners-Lee told me one morning in downtown Washington, D.C., about a half-mile from the White House.
AI innovation across London London’s unique strengths as a global hub of Artificial Intelligence.
There’s a trend in Silicon Valley startups to create a software layer in industries that were traditionally pure human services. Uber and Lyft have created software layers in the taxi industry, 99designs Tasks in the visual design industry, Homejoy in the cleaning industry, and so on.
Different types of maps have different uses. What they make legible is what they make possible. A map that emphasizes bike paths is useful to a cyclist, but its lack of topographic information makes it useless to a civil engineer, even though both refer to the same territory.
Uber and Google appear to be parting ways according to a report by Bloomberg’s Brad Stone Monday. Google Ventures invested in Uber’s C and D rounds, and its chief legal officer and SVP of corporate development, David Drummond, has sat on its board since 2013.
Every company in Silicon Valley will tell you, with operatic grandeur, that it aims to change the world and make it a better place.
“You are going to have a chance to play with Alexa,” I told my daughter, Grace, who’s 3 years old. Pointing at the black cylindrical device, I explained that the speaker, also known as the Amazon Echo, was a bit like Siri but smarter.
The same goes for Amazon’s growing list of private label brands, which use the company’s unparalleled data to build demand-based brands that are nearly guaranteed to sell. Amazon only creates supply when there is demand, not the other way around.