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Conversations with the people building AI

Tiny Recursive Networks

Tiny Recursive Networks

In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the…

48 MinutesPractical AI

Vibe Coding's Uncanny Valley with Alexandre Pesant - #752

Vibe Coding's Uncanny Valley with Alexandre Pesant - #752

Today, we're joined by Alexandre Pesant, AI lead at Lovable, who joins us to discuss the evolution and practice of vibe coding. Alex shares his take on how AI is enabling a shift in software development from typing characters to expressing intent, creating a new layer of abstraction similar to how high-level code…

1h 13mThe TWIML AI Podcast

Dealing with increasingly complicated agents

Dealing with increasingly complicated agents

As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse.…

55 MinutesPractical AI

Dataflow Computing for AI Inference with Kunle Olukotun - #751

Dataflow Computing for AI Inference with Kunle Olukotun - #751

In this episode, we're joined by Kunle Olukotun, professor of electrical engineering and computer science at Stanford University and co-founder and chief technologist at Sambanova Systems, to discuss reconfigurable dataflow architectures for AI inference. Kunle explains the core idea of building computers that are…

58 MinutesThe TWIML AI Podcast

The impact of AI on the workforce: A state-level case study

The impact of AI on the workforce: A state-level case study

Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA)…

44 MinutesPractical AI

Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750

Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750

Today, we're joined by Jacob Buckman, co-founder and CEO of Manifest AI to discuss achieving long context in transformers. We discuss the bottlenecks of scaling context length and recent techniques to overcome them, including windowed attention, grouped query attention, and latent space attention. We explore the idea…

57 MinutesThe TWIML AI Podcast

The Decentralized Future of Private AI with Illia Polosukhin - #749

The Decentralized Future of Private AI with Illia Polosukhin - #749

In this episode, Illia Polosukhin, a co-author of the seminal "Attention Is All You Need" paper and co-founder of Near AI, joins us to discuss his vision for building private, decentralized, and user-owned AI. Illia shares his unique journey from developing the Transformer architecture at Google to building the NEAR…

1h 05mThe TWIML AI Podcast

We've all done RAG, now what?

We've all done RAG, now what?

Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise…

44 MinutesPractical AI

Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748

Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748

Today, we’re joined by Oliver Wang, principal scientist at Google DeepMind and tech lead for Gemini 2.5 Flash Image—better known by its code name, “Nano Banana.” We dive into the development and capabilities of this newly released frontier vision-language model, beginning with the broader shift from specialized image…

1h 04mThe TWIML AI Podcast

Creating a private AI assistant in Thunderbird

Creating a private AI assistant in Thunderbird

In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does…

53 MinutesPractical AI

Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747

Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747

Today, we're joined by Aditi Raghunathan, assistant professor at Carnegie Mellon University, to discuss the limitations of LLMs and how we can build more adaptable and creative models. We dig into her ICML 2025 Outstanding Paper Award winner, “Roll the dice & look before you leap: Going beyond the creative limits of…

58 MinutesThe TWIML AI Podcast