Gašper’s work combines machine learning, statistical modeling, neuroimaging, and behavioral experiments “to better understand how neural networks learn internal representations in speech and how humans learn to speak.”One thing that surprised him about generative adversarial networks (GANs)? How innovative they are, capable of generating English words they’v ... Show More
Yesterday
Why intent prediction needs more than an LLM
Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural net ... Show More
29m 58s
Jun 26
Code isn’t the only thing causing your production failures
Ryan sits down with Anish Agarwal, CEO and co-founder of Traversal, to chat about why AI coding agents have made writing code easier but running it safely in production harder, why production failures are really caused by interactions between systems and not just the code itself, ... Show More
30m 58s
Jun 23
Oh the places you’ll go with spatial data
Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, st ... Show More
29m 48s
Mar 2023
Bard Fork + How to Talk So Chatbots Will Listen
<p>“It’s different because it’s Google.” Bard, Google’s answer to ChatGPT, could prove to be more consequential than any large language model to date — but it isn’t there yet.</p><p>Then, we hear from listeners on how they are using A.I. to negotiate their rent, understand medica ... Show More
1h 2m