“Terence Tao is widely considered to be one of the greatest mathematicians in history.”

“Gregory Aldrete is a historian specializing in ancient Rome and military history.”

“The podcast discusses current events with a comedic lens.”

“I DID EVERYTHING RIGHT AND THEY SHOT AT ME!”

“The episode explores the intersection of human language and artificial intelligence, particularly focusing on LLMs.”

“Finally, a reading series on the Ancien Cajun, James Carville, and who still has lessons to impart on the best way for Democrats to win from that one time he let Ross Perot hand him an election.”

“Catch American Conspiracy: The Octopus Murders streaming now on Netflix.”

“Ram discusses how the serverless paradigm impacts the vector database’s core architecture, key features, and other considerations.”

“We discuss good food, old friends, work, war, being on the computer and much more.”

“Atul Deo discusses the process of training large language models in the enterprise, including the pain points of creating and training machine learning models, and the power of pre-trained models.”

“We discuss the challenges of adding private data to language models and how Llama Index connects the two for better decision-making.”

“Should women date podcasters?”

“The episode explores the intersection of game theory and real-world decision-making.”

“The episode covers a wide range of topics related to cosmology and astrophysics.”

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

“We explore the current complexity of data infrastructure broadly and how that has changed over the last five years, as well as the maturation of streaming data platforms.”

“Shayan helps us define “data-centric”, while discussing the main challenges that organizations face when dealing with labeling, how these problems are currently being solved, and how techniques like active learning and weak supervision could be used to more effectively label.”

“The article doesn't contain a specific quote, but the discussion revolves around Ammous's views on Bitcoin and Austrian economics.”

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

“Quitting is not in my nature.”

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

“In the talk, Shayan proposes a novel deep learning-based approach for prognosis prediction of oil and gas plant equipment in an effort to prevent critical damage or failure.”

“The episode discusses rapid COVID-19 testing and related topics.”

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

“The article doesn't contain a specific quote, but rather provides an overview of the podcast's content.”

“The Immortality Key”

“Noam details many of the underlying capabilities of Debater, including the relationship between systems preparation and training, evidence detection, detecting the quality of arguments, narrative generation, the use of conventional NLP methods like entity linking, and much more.”

“All with the signature Christman flair of wit, recall and analysis, and the signature Wade flair of "getting Matt to do things".”

“The episode covers various aspects of jiu jitsu, grappling, judo, and MMA.”

“We explore David’s thoughts about the progression towards larger models, the focus on parameters and how it ties to the architecture of these models, and how we should assess how attention works in these models.”

“We continue to explore this relationship through the themes of socialization introduced in the book, like associating genders to AI and robotic systems and the “self-fulfilling prophecy” that has become search engines.”

“Sameer tackles the review in 4 main categories, Massive Language Modeling, Fundamental Problems with Language Models, Practical Vulnerabilities with Language Models, and Evaluation.”

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

“Fan favorite David Roth is back to talk Trump’s sad boi coup plotting, Democrats’ fragile new coalition, and Michael Bay movies.”

“Frank Zhao discusses the use of NLP with textual data of earnings call transcripts.”

“We were first introduced to Sasha’s work through her paper on ‘Visualizing The Consequences Of Climate Change Using Cycle-consistent Adversarial Networks’”

“Sara Seager is a planetary scientist at MIT, known for her work on the search for exoplanets.”

“We discuss the different ways that machine learning applications can be used to address global health issues, including infectious disease surveillance, and tracking search data for changes in health behavior in African countries.”

“The episode covers topics like the difference between a computer and a human brain, computer abstraction layers and parallelism, and Moore’s law.”

“The episode discusses the YouTube Algorithm.”

“The episode covers topics like ethical responsibility of safety-critical algorithms and bias in robotics.”

“The episode covers topics such as human-like aspects of smart assistants, the Alexa Prize, privacy concerns, and the technical intricacies of speech recognition and intent understanding.”

“Thanks to Luke and Dotscience for their sponsorship of this Democast and their continued support of TWIML.”

“Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world.”

“If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations.”

“The article doesn't contain a direct quote, but the focus is on the experiences of the panelists.”

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

“The conversation covers a wide range of AI topics.”

“The conversation is part of the Artificial Intelligence podcast.”

“Michael explains how our DNA doesn’t control everything and how the behavior of cells in living organisms can be modified and adapted.”