The world’s largest hedge fund is building a piece of software to automate the day-to-day management of the firm, including hiring, firing and other strategic decision-making.
Yes, it’s hard not to feel apprehension at statements like this:
The kinds of decisions PriOS could make include finding the right staff for particular job openings and ranking opposing perspectives from multiple team members when there’s a disagreement about how to proceed.
The machine will make the decisions, according to a set of principles laid out by Dalio about the company vision.
But the point is not whether or not we should do this. That boat has already sailed. This is happening whether we like it or not. Over a year ago, Gartner predicted that by 2018 25% of employees would report to a “robo-boss.” We are clearly on track for that. Here’s an optimistic take on robo-bosses.
Today I was giving a talk on space exploration to the eighth grade class at my daughter’s school. Their theme for this period is ‘Identity,’ so we did some discovery questions about the identities of planets and stars. Then, because so much space exploration is about looking for life, I asked them about the identity of life. We got it down to the usual answers like eating and pooping and reproducing. Then I said, “I see no one suggested ‘intelligence.’ Can we have life without intelligence?” It was decided that we could.
Then I asked, “Can we have intelligence without life?” There was immediate agreement and vigorous nodding. I did a double take, and one of them helpfully explained: “AI.” I recovered and remarked that that was not an answer I would have gotten twenty years ago.
Tomorrow’s adults have a good idea what’s coming.
This video from the dashcam of a Tesla in the Netherlands demonstrates the ability of a Tesla to take protective action that a human could not, by being able to see in front of the car it is following.
“What is most impressive is that fact that we can clearly hear the Forward Collision Warning alert before the lead vehicle even applied the brake, which shows that the Autopilot wasn’t only using the lead vehicle to plan the path, but also the vehicle in front of it – the black SUV.
“The driver of the Tesla also reported that Autopilot started braking before he could apply the brakes himself.”
MIT researchers have designed a new machine-learning system that can learn by itself to extract text information for statistical analysis when available data is scarce.
As KurzweilAI.net puts it, “And so it begins…” Here’s a system that can teach itself how to understand a topic by searching the Internet for more information. I know – what could possibly go wrong? Will this be a building block for all kinds of machine learning systems?
See this article about the proliferation of little brothers, corporations that closely monitor their workers as a matter of course, using a variety of new technologies.
If the expansion of corporate oversight continues — specifically in the United States — it will be due to a lack of real opposition. Workers expect to be compensated for producing product, not penalized for producing data, but that could change. There could be a resistance. But someone would have to lead it.
A superhero who was able to see two seconds into the future wouldn’t be invincible, but she’d have a leg up on mere mortals. On Monday, the Massachusetts Institute of Technology announced its new artificial intelligence, and it’s a prototype of such a being. Based on a photograph alone, it can predict what’ll happen next, then spit out a one-and-a-half second video clip depicting that possible future. The breakthrough could yield smarter autonomous cars or security systems.
The November issue of Wired – guest edited by President Obama, no less – contains the responses of thought leaders to six challenges issued by Obama. One of those was “Ensure that artificial intelligence helps us rather than hurts us,” and the response came from Facebook’s Mark Zuckerberg:
Whoever cares about saving lives should be optimistic about the difference that AI can make. If we slow down progress in deference to unfounded concerns, we stand in the way of real gains.
As I say in Crisis of Control, I’m not for limiting development of artificial intelligence. That would be a first-order thinking response to its existential threat. It would be futile. But it would also be counterproductive. AI is essential to the survival of the human race. It also happens to be the possible end of the human race. To an aficionado of story, it seems like we’re in someone’s idea of a suspense thriller. You couldn’t write something more gripping if you tried. Unfortunately, the stakes are humanity.
Wired Magazine’s November issue is guest edited by President Obama, and in an interview, he touches on so many issues raised in Crisis of Control that I could egotistically convince myself that someone sent him an advance copy.
He talks about the danger of AI, the potential for widespread unemployment, but also its promise. He points out that we have more to fear – in terms of immediate danger to national security – from AIs being focused on single tasks like penetrating nuclear security than we do a general takeover. He talks about bioterrorism. He even mentions the Singularity and gets into Star Trek.
But what it really means is that we’re heading into an era where more and more people are waking up to these issues. I have my part to play, Obama has another, and so do you.
*45* companies are now focused on bringing AI to the retail channel.
Lex Luthor on intelligence: “Some people can read War and Peace and come away thinking it’s a simple adventure story. Others can read the ingredients on a chewing gum wrapper and unlock the secrets of the universe.” Is he on the right track? Is intelligence the ability to draw more conclusions from fewer data?