Group items tagged

Wow - will any of you do as well?

"ne of the creepiest - and most useful - Google inventions has been its ability to predict traffic jams by using anonymised ping-backs from mobile phones to tell how fast everyone is moving."

"In response, the architects of the internet developed a kind of digital Esperanto: a common language that enabled data to travel across any network. In 1974, two Arpa researchers named Robert Kahn and Vint Cerf published an early blueprint. Drawing on conversations happening throughout the international networking community, they sketched a design for "a simple but very flexible protocol": a universal set of rules for how computers should communicate."

"No, really, it's possible that Microsoft's Excel is the most dangerous software on the planet. Yes, more dangerous than rogue code running a nuclear power plant, than the Stuxnet that was deliberately sent off to sabotage Iran's nuclear program, worse, even, than whatever rent in the fabric of space time led to the invention of Lolcats. Really, that serious."

""It seems Cameron and Perry have ignored official government policy, invented their own policy and forced it onto UK ISPs. With no legislation, and no complaints from Lib Dem MPS or the ISPs, we have completely unaccountable "nudge censorship" being forced onto the UK population with no debate.""

"The US computer programmer came up with the idea of electronic messages that could be sent from one network to another in 1971. His invention included the ground-breaking use of the @ symbol in email addresses, which is now standard."

" The observations made at Facebook are the latest in a long line of similar cases. In each instance, an AI being monitored by humans has diverged from its training in English to develop its own language. The resulting phrases appear to be nonsensical gibberish to humans but contain semantic meaning when interpreted by AI "agents." "

"An algorithm has no tastebuds; a neural net never gets the munchies. So can a robot brain really tell us what we'll want to eat? The question is whether AI systems will be able to excel in the sensual, creative work of tasting and developing new foods - and what we stand to gain or lose by inventing foods that really have our number."

"Google, Uber, Tesla and the major truck manufacturers are looking to a future in which people like Baxter will be replaced - or at the very least downgraded to co-pilots - by automated vehicles that will save billions but will cost millions of jobs. It will be one of the biggest changes to the jobs market since the invention of the automated loom - challenging the livelihoods of millions across the world."

""When a new technology comes to town, we have choices about how to use it," he said. "It doesn't necessarily need to broadcast propaganda, [and] it doesn't have to become a commercial free-for-all. Instead, we can look at a new technology and invent something new.""

"a word that does not exist; it was invented, defined and used by a machine learning algorithm. "

"* Pioneering company files for bankruptcy protection * Brought down by failure to invest in its own invention"

"They still have far more advanced technology that they haven't made publicly available yet. Something that does more or less what Bard does could have been released over two years ago. They've had that technology for over two years. What they've spent the intervening two years doing is working on the safety of it - making sure that it doesn't make things up too often, making sure that it doesn't have racial or gender biases, or political biases, things like that. That's what they spent those two years doing. But the basic existence of that technology is years old, at this point. And in those two years, it wasn't like they weren't inventing other things. There are plenty of other systems that give Google's AI more capabilities, more features, make it smarter. The most sophisticated system I ever got to play with was heavily multimodal - not just incorporating images, but incorporating sounds, giving it access to the Google Books API, giving it access to essentially every API backend that Google had, and allowing it to just gain an understanding of all of it."

""As expected, we found evidence of a performance improvement over generations due to social learning," the researchers wrote. "Adding an algorithm with a different problem-solving bias than humans temporarily improved human performance but improvements were not sustained in following generations. While humans did copy solutions from the algorithm, they appeared to do so at a lower rate than they copied other humans' solutions with comparable performance." Brinkmann told Motherboard that while they were surprised superior solutions weren't more commonly adopted, this was in line with other research suggesting human biases in decision-making persist despite social learning. Still, the team is optimistic that future research can yield insight into how to amend this."