Behind the Data is a podcast about the hidden stories tucked inside the data that shapes our world. From political polls to global happiness indexes, we go beyond charts and headlines to uncover where data comes from, why it’s collected, and what we can (and cannot!) learn from it. Each episode explores a fascinating dataset that helps us better understand the systems, policies, and people around us. Whether you're new to data or work with it every day, you'll find approachable conversations, surprising lessons for making sense of data *and life* (!!), and a reminder that every dataset reflects a choice—and a story worth telling.
Join us as we explore where data comes from—and where it can take us. Because data is about so much more than numbers -- it's how we make sense of the world.
Hosted on Acast. See acast.com/privacy for more information.
Behind the Data is a podcast about the hidden stories tucked inside the data that shapes our world. From political polls to global happiness indexes, we go beyond charts and headlines to uncover where data comes from, why it’s collected, and what we can (and cannot!) learn from it. Each episode explores a fascinating dataset that helps us better understand the systems, policies, and people around us. Whether you're new to data or work with it every day, you'll find approachable conversations, surprising lessons for making sense of data *and life* (!!), and a reminder that every dataset reflects a choice—and a story worth telling.
Join us as we explore where data comes from—and where it can take us. Because data is about so much more than numbers -- it's how we make sense of the world.
Hosted on Acast. See acast.com/privacy for more information.
Vasant Dhar has been working on AI since way before it was cool (and before most people thought it was possible). I've admired his work for a long time and since I started this show have wanted to have him on as a guest to talk about the strengths and limitations of LLMs. A few days ago, he published an article in The Hill about how DOGE is using AI wrong, and I knew I had to talk to him immediately.
We discuss, indeed, what DOGE is doing wrong, as well as the broader lessons we all can learn from this example about what makes a good vs. not-so-good use case for LLMs. We also talk about his recent and completely earth-shattering Severance-esque research where he and a colleague create a bot with the goal of simulating the valuation reasoning of investing legend Aswath Damodaran. Naturally, throughout the conversation, I pepper him with questions about how scared or optimistic we should be about all of this, as well as how AI can somehow be both incredible and limited at the same time.
Follow Vasant!
I'm @jonesrooy on Instagram and at jonesrooy.com.
And, because I'm trying to make friends with AI, below is a chapter summary! Woo hoo.
Chapters
00:00 The Evolution of AI: A Personal Journey
01:49 Understanding LLMs: Are They Thinking?
04:35 The Fear of AI: Balancing Optimism and Caution
06:57 Explaining LLMs to Newcomers
09:37 Learning and The Integration of the Senses
12:24 DOGE's Approach to AI in Government
15:22 The Need for Better AI Implementation in Government
17:47 Could This Actually Work?
20:16 A Problem with Using AI on Data from Humans
21:47 Contextualizing Project Failures
22:33 Applying AI to Investing
23:45 Building an AI Investor
27:36 The Science of Long-Term Investing
28:40 Simulating Expertise: The Damodaran Bot
32:33 The Art of Questioning in AI
36:07 Expectations and Realities of AI Development
40:10 Be the AI Change You Wish to See in the World
Behind the Data is a podcast that uncovers the hidden stories within the data shaping our world. From political polls to global happiness trackers, we dive into the datasets that influence the decisions we make—while showing you why data isn’t just numbers, but a way to understand the world. Whether you're a data newbie or a seasoned pro, each episode makes complex data approachable, revealing surprising insights and the human side of every dataset. Come for the discoveries, stay for the stories.
We are proud to be part of the Daily Tech News Show network of podcasts.
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Hosted on Acast. See acast.com/privacy for more information.