“The article likely contains quotes from Greg Kamradt regarding the benchmark.”

“AI does something genuinely like human reasoning, but that doesn't make it human.”

“To listen to the original mixed-language version, please select the Hindi (Latin) audio track.”

“Will & Zohran discuss his plans to improve housing, transit, policing and homelessness services in New York City, as well as his plans to win this election.”

“Schmidhuber dismisses fears of human-AI conflict, arguing that superintelligent AI scientists will be fascinated by their own origins and motivated to protect life rather than harm it, while being more interested in other superintelligent AI and in cosmic expansion than earthly matters.”

“The article doesn't contain a direct quote, but focuses on the availability of the podcast and its content.”

“Bernie Sanders is a US Senator from Vermont and a two-time presidential candidate.”

“The article does not contain any direct quotes from the interview.”

“We discuss his Wisconsin influences, ultra-DIY approach to filmmaking, making your film exactly as stupid as it needs to be, and the inherent humor of watching a guy in a mascot costume get wrecked on camera.”

“Will, Hesse and Radu discuss the film’s send-up of TikTok masculinity influencers, the relationship with earlier films edited into the movie, the various versions of Romania Jude depicts and much more.”

“The article doesn't contain a direct quote, but it discusses the interview with Akshita Bhagia.”

“The article is based on an interview with Sam Altman following his firing and subsequent rehiring.”

“Wolfram explains how irreversibility arises from the computational irreducibility of underlying physical processes coupled with our limited ability as observers to do the computations needed to "decrypt" the microscopic details.”

“The article doesn't contain a direct quote, but summarizes the topics discussed.”

“Sam Altman was interviewed on the Lex Fridman Podcast.”

“N/A - No direct quotes are present in the article.”

“In our conversation with Daniela, we explore the history of CSAIL, her role as director of one of the most prestigious computer science labs in the world, how she defines robots, and her take on the current AI for robotics landscape.”

“We discuss how ML, mainly computer vision, has been integrated to work together with robots, and some of the devices that Katherine’s lab is developing to take advantage of this research.”

“One of the unique aspects of Jamie’s research is that he takes an “old-school AI” approach, and to that end, we discuss the models he handcrafts to generate language.”

“Watch the film through the Santa Barbara International Film Festival at www.sbiff.org”

“The article doesn't contain a direct quote.”

“We explore the revival of physics-based thinking about scenes, differential rendering, the best papers, and where the field is going in the near future.”

“The article doesn't contain a direct quote, but it discusses an interview with Deb Raji.”

“His videos often ask and answer questions that are both profound and entertaining, spanning topics from physics to psychology.”

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“Hear him discuss the challenges (and joys) of working in the industry, his insight into analyzing scale when innovation is happening in parallel with development, his experiences at Facebook, Google, and Cruise, and his predictions for the future of ML platforms!”

“Theo’s research is focused on brain circuit development and uses Deep Learning methods to segment the brain regions, then detect the connections around each region.”

“Rich describes some of his work on fairness in machine learning algorithms, including how he defines both group and individual fairness and his group’s recent NeurIPS poster, “Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer.””

“The conversation focuses on Nasrin’s work in event-centric contextual modeling in language and vision including her work on the Story Cloze Test, a reasoning framework for evaluating story understanding and generation.”

“The podcast you’re about to hear is the first of a series of shows recorded at the NYU Future Labs AI Summit last week in New York City.”

“We dive into Ray, a new distributed computing platform for RL, as well as RL generally, along with some of the other interesting projects RISE Lab is working on, like Clipper & Tegra.”

“We talked a bunch about his work on neural networks, especially LSTM’s, or Long Short-Term Memory networks, which are a key innovation behind many of the advances we’ve seen in deep learning and its application over the past few years.”

“Our conversation focused on cognition and reasoning, and we explored what these concepts represent, how enterprises really want to consume them, and how IBM Watson seeks to deliver them.”

“This week I'm on location at NYU/ffVC AI NexusLab startup accelerator, speaking with founders from the 5 companies in the program's inaugural batch.”