“Developing an data strategy should come before considering AI for your business
If you “don’t have top-down support and understanding for bottom-up initiatives, you’re going to fail miserably because there’s going to be … a longer timeline for ROI.”
Accelerating scale of compute use is “what keeps me up at night.” Advances in optimization and software will be essential to the future of AI, he said. OpenAI found that compute necessary for state-of the-art results has grown 10 times annually since 2012.
Google Cloud Platform AI head Andrew Moore urged developers to skip job offers from companies that have trouble articulating their purpose.”
“Nobody tells the baby that objects are supposed to fall,” said Yann LeCun, the chief AI scientist at Facebook and a professor at NYU…, “a lot of what they learn about the world is through observation.”
While algorithms based on supervised and reinforcement learning are taught to achieve an objective through human input, unsupervised ones extract patterns in data entirely on their own.
“Everything we learn as humans—almost everything—is learned through self-supervised learning.
Ultimately, unsupervised learning will help machines develop a model of the world that can then predict future states of the world, he said. It’s a lofty ambition that has eluded AI research but would open up an entirely new host of capabilities. LeCun is confident: “The next revolution of AI will not be supervised.”
“A team from Carnegie Mellon University (CMU) and Facebook used a combination of AI techniques to out-bet and out-bluff human players in a game of six-player, no-limit Texas Hold’em. Each of the humans involved had previously won more than a million dollars at the poker table—which included Darren Elias, who holds the record for most World Poker Tour titles, and Chris “Jesus” Ferguson, who has won six World Series of Poker titles, as well as one inferior poker bot.”
“Thanks to an outage currently affecting Facebook, users of the social network have been given a similar peek behind the digital curtain, with many images on the site now replaced with the tags they’ve been assigned by the company’s machine vision systems. So if you browse…you’ll be shown text saying things like ‘I’m age may contain: people smiling, people dancing, wedding and indoor'”
“Facebook today announced the open source release of Deep Learning Recommendation Model (DLRM), a state-of-the-art AI model for serving up personalized results in production environments. DLRM can be found on GitHub”