AI Agents: Substance or Snake Oil with Arvind Narayanan - #704

AI Agents: Substance or Snake Oil with Arvind Narayanan - #704

Today, we're joined by Arvind Narayanan, professor of Computer Science at Princeton University to discuss his recent works, AI Agents That Matter and AI Snake Oil. In “AI Agents That Matter”, we explore the range of agentic behaviors, the challenges in benchmarking agents, and the ‘capability and reliability gap’, which creates risks when deploying AI agents in real-world applications. We also discuss the importance of verifiers as a technique for safeguarding agent behavior. We then dig into the AI Snake Oil book, which uncovers examples of problematic and overhyped claims in AI. Arvind shares various use cases of failed applications of AI, outlines a taxonomy of AI risks, and shares his insights on AI’s catastrophic risks. Additionally, we also touched on different approaches to LLM-based reasoning, his views on tech policy and regulation, and his work on CORE-Bench, a benchmark designed to measure AI agents' accuracy in computational reproducibility tasks. The complete show notes for this episode can be found at https://twimlai.com/go/704.

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Transformers On Large-Scale Graphs with Bayan Bruss - #641

Transformers On Large-Scale Graphs with Bayan Bruss - #641

Today we’re joined by Bayan Bruss, Vice President of Applied ML Research at Capital One. In our conversation with Bayan, we covered a pair of papers his team presented at this year’s ICML conference. ...

7 Elo 202338min

The Enterprise LLM Landscape with Atul Deo - #640

The Enterprise LLM Landscape with Atul Deo - #640

Today we’re joined by Atul Deo, General Manager of Amazon Bedrock. In our conversation with Atul, we discuss the process of training large language models in the enterprise, including the pain points ...

31 Heinä 202337min

BloombergGPT - an LLM for Finance with David Rosenberg - #639

BloombergGPT - an LLM for Finance with David Rosenberg - #639

Today we’re joined by David Rosenberg, head of the machine learning strategy team in the Office of the CTO at Bloomberg. In our conversation with David, we discuss the creation of BloombergGPT, a cust...

24 Heinä 202336min

Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638

Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638

Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, Professor at Northeastern University, and Founder of Altdeep.ai. In our conversation with Robert, we explore wheth...

17 Heinä 202348min

Privacy vs Fairness in Computer Vision with Alice Xiang - #637

Privacy vs Fairness in Computer Vision with Alice Xiang - #637

Today we’re joined by Alice Xiang, Lead Research Scientist at Sony AI, and Global Head of AI Ethics at Sony Group Corporation. In our conversation with Alice, we discuss the ongoing debate between pri...

10 Heinä 202337min

Unifying Vision and Language Models with Mohit Bansal - #636

Unifying Vision and Language Models with Mohit Bansal - #636

Today we're joined by Mohit Bansal, Parker Professor, and Director of the MURGe-Lab at UNC, Chapel Hill. In our conversation with Mohit, we explore the concept of unification in AI models, highlightin...

3 Heinä 202348min

Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touch...

26 Kesä 202352min

Mojo: A Supercharged Python for AI with Chris Lattner - #634

Mojo: A Supercharged Python for AI with Chris Lattner - #634

Today we’re joined by Chris Lattner, Co-Founder and CEO of Modular. In our conversation with Chris, we discuss Mojo, a new programming language for AI developers. Mojo is unique in this space and simp...

19 Kesä 202357min

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