“The article references a viral tweet from Muratcan Koylan, an AI agent systems manager, and his work on prompt design and the Agent Skills for Context Engineering repository.”

“The article does not contain a direct quote.”

“The article mentions a 2017 paper, "Asymmetric Actor Critic for Image-Based Robot Learning," which was proposed by researchers from UC Berkeley, OpenAI, and CMU.”

“David Kirtley is a nuclear fusion engineer and CEO of Helion Energy, a company working on building the world’s first commercial fusion power plant by 2028.”

“We dig into her ICML 2025 Outstanding Paper Award winner, “Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction,” which examines why LLMs struggle with generating truly novel ideas.”

“Professor Swarat Chaudhuri discusses breakthroughs in AI reasoning, theorem proving, and mathematical discovery.”

“Ed Barnhart is an archaeologist and explorer specializing in ancient civilizations of the Americas.”

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

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“In our conversation, we discuss the current state of adversarial machine learning research, the dynamic of dealing with privacy issues in black box vs accessible models, what privacy attacks in vision models like diffusion models look like, and the scale of “memorization” within these models.”

“Yasaman Razeghi demonstrated comprehensively that large language models only perform well on reasoning tasks because they memorise the dataset. For the first time she showed the accuracy was linearly correlated to the occurance rate in the training corpus.”

“”

“The article doesn't contain a specific quote to extract.”

“In our conversation, we explore Meredith’s work in the field of public interest technology, and her view of the relationship between technology and artificial intelligence.”

“We explore how she builds “lego models” of the brain that mimic biological brain functions, then reverse engineers those models to answer the question “do these follow the same operating principles that the biological brain uses?””

“Deep Unsupervised Learning for Climate Informatics”

“We explore examples of social learning, and how it applies to AI contextually, and defining intelligence.”

“The article doesn't contain a direct quote, but the content suggests a discussion about neural augmentation, federated learning, and quantum neural networks.”

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

“We explore how her research group is focusing on making models more efficient so that they run better on current hardware systems, and how they plan on achieving true co”

“The article doesn't contain a direct quote, but rather an outline of the episode's topics.”

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“Josh's goal is to develop implicit scene understanding, building upon Deepmind's Neural scene representation and rendering work.”

“Nick Bostrom is a philosopher at University of Oxford and the director of the Future of Humanity Institute. He has worked on fascinating and important ideas in existential risks, simulation hypothesis, human enhancement ethics, and the risks of superintelligent AI systems, including in his book Superintelligence.”

“Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University.”

“N/A (Podcast summary, no direct quote)”

“The article doesn't contain a direct quote, but the focus is on challenges of scaling Jupyter Notebooks and the role of open source projects.”

“Hema shares her insight into the motivations for LinkedIn’s use of graph-based models and some of the challenges surrounding using graphical models at LinkedIn’s scale, while Scott details his work on the software used at the company to support its biggest graph databases.”

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

“Naila Murray presented at the Indaba on computer vision.”

“The article doesn't contain a specific quote, but it discusses the use of deep reinforcement learning, LSTM recurrent neural networks, and entity embeddings.”

“The article doesn't contain a direct quote, but the title references a talk titled “How Computers See the Earth: A Machine Learning Approach to Understanding Satellite Imagery at Scale.””

“In our conversation, we discuss two talks he gave at CVPR a few weeks back, his work on vision systems for the first iteration of Mars rovers in 2004 and the future of planetary landing projects.”

“The show is part of a series that I’m really excited about...”

“In this episode, I speak with Sam Ritchie, a software engineer at Stripe. I caught up with Sam RIGHT after his talk at the conference, where he covered his team’s work on explaining black box predictions.”

“Affectiva, as Rana puts it, "is on a mission to humanize technology by bringing in artificial emotional intelligence".”

“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.”

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