Data Skeptic

The podcast explores animal decision-making, discussing how animals perceive information and use it for learning. Topics include costs of learning in animals, experimental evolution using fruit flies, animal intelligence in species like dolphins and bees, and evolution of preferences in flies.

Join the discussion on octopus cognition with a focus on their unique nervous system and behavior. Explore the challenges of studying octopuses in a lab setting. Learn about octopus intelligence and how their behavior is measured using video recordings. Delve into the decentralized nervous system of octopuses and the methods used to study their cognitive processes.

Learn from Claire Hemmingway, an expert in animal cognition, about bumblebees' foraging decisions and communication. Discover how bees optimize foraging, irrational behaviors, and climate change impact. Hear about bats responding to calling frogs and choice overload. Dive into optimal foraging theory, human AI cybersecurity partnership, and decision-making challenges. Explore econometric assumptions and captivity effects on frogs and bats' foraging behavior.

The podcast discusses perception and memory in chess, exploring how chess players recall positions on the board. It covers topics such as cheating with chess engines, chunking strategies, and studying chess cognition through eye tracking and MRI. The podcast also delves into algorithms in checkers and chess, the capabilities of AI in games, and differences between Deep Blue and AlphaGo. It concludes with a discussion on the challenges of playing Kriegspiel, a version of chess with hidden pieces.

Stephen Larson, CEO of MetaCell and affiliate of the OpenWorm foundation, discusses the Openworm project which aims to study life using a digital C. elegans nematode. He talks about simulating a digital organism, the validation process, and how biologists embraced the project. He also shares future plans and how students can get involved.

Becky Hansis-O’Neil, Ph.D. student at the University of Missouri, St Louis, and co-host for the new 'Animal Intelligence' season, discusses topics such as different types of learning in animals, the use of cameras to study bee behavior, integrating AI tools in cybersecurity, operant conditioning in ant lions, and the challenges of understanding ant brains and insect emotions.

AI experts Pramit Choudhary and Frank Bell join Kyle for an open discussion on the impacts of LLMs and machine learning in industry. Topics include division of labor in ML, challenges of training AI models, accessibility of AI, successful LLM deployments, battle against bad actors, and excitement for progress in AI deployment.

Policy Advisor Darren McKee, host of Reality Check podcast, discusses AGI achievements, defining AGI and its differentiation from AI. He explores concerns about AI surpassing human understanding, nefarious uses of AI, whether AI possesses inherently evil intentions, and thoughts on regulating AI.

The podcast explores the utilization of large language models in daily life and work processes. It discusses the challenges and risks of using them as a service, the concept of retrieval augmented generation, and the use of embeddings and LLMs in text analysis and product development. The podcast also delves into the applications of text embeddings in similarity, search, and classification tasks, while addressing their limitations and potential risks.

In this Q&A episode, the host discusses finding guests algorithmically, exploring impactful technologies and tools, data annotation as remote work, Cue Basic programming language, programming experiences and hacker culture, 'grab' command line utility and the importance of Git for source control.