Adam Lisagor (Sandwich Video founder) takes us behind the Sandwich to share his insights into the importance of storytelling in the tech industry, the value of helping Founders communicate their stories effectively, the details behind his new AI company, and the apps he’s making for Apple Vision Pro at Sandwich Vision.

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.

In the midst of the demos & discussion about OpenAI’s GPT-4o voice assistant, Kyutai swooped in to release the first real-time AI voice assistant model and a pretty slick demo (Moshi). Chris & Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype cycle.

Shawn “swyx” Wang is back to talk with us about the state of DevRel according to ZIRP (the Zero Interest Rate Phenomenon), the data that backs up the rise and fall of job openings, whether or not DevRel is dead or dying, speculation of the near-term arrival of AGI, AI Engineering as the last job standing, the innovation from Cognition with Devin as well as their mis-steps during Devin’s launch, and what’s to come in the next innovation round of AI.

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.

We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.

Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.

Justin Searls joins us for hot takes on Apple’s 2024 WWDC keynote. Apple Intelligence stole the show, but did it steal our hearts? Oh, and we learn all about Justin’s Vision Pro Life and how he hopes/expects Apple’s latest device to improve in future iterations.

We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.

Mark Russinovich, Eric Boyd & Neha Batra join us to discuss the state of AI for Microsoft and OpenAI at Microsoft Build 2024. It’s safe to say that Microsoft is all-in on AI.

We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this might impact AI adoption in the longer term.

Tech lawyer Luis Villa returns to answer our most pressing questions: what’s up with all these new content deals? How did Google think it was a good idea to ship AI Summaries in its current state? Is it too late to opt out of AI? We also discuss AI in Hollywood (spoilers!), positive things we’re seeing (or hoping for) & Upstream 2024 (June 5th)!

Scott Guthrie joins the show this week from Microsoft Build 2024 to discuss Microsoft being all-in on AI. From Copilot, to Azure AI and Prompty, to their developer first focus, leading GitHub, VS Code being the long bet that paid off, to the future of a doctor’s bedside manner assisted with AI. Microsoft is all-in on AI and Build 2024’s discussions and announcements proves it.

At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at GMU to pursue a Master’s degree in C.S. with a concentration in Machine Learning.

Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus & Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act & a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act & the Artificial Intelligence Environmental Impacts Act.

We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool & his leadership in bringing that expertise to Capitol Hill.

We kick off our Microsoft Build 2024 “coverage” in this free-wheelin’ conversation with our friend, Shaundai Person! We’re talking Netflix infra, we’re talking sales, we’re talking real-world AI usage, we’re talking career choices…. What’s a good next step? Listen in!

Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.

Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI.

Anita Zhang is here to tell us how Meta manages millions of bare metal Linux hosts and containers. We also discuss the Twine white paper and how AI is changing their requirements.

Our friend Ron Evans is a technologist for hire, an open source developer, an author, a speaker, an iconoclast, and one of our favorite people in tech. This conversation with Ron goes everywhere: from high-altitude weather balloons, to life on Mars, to Zeno’s paradox applied to ML, to what open source devs should learn from the Wu-Tang Clan & more.

We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (like RAG and plugins).

First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav.

This week Adam is joined by Thomas Paul Mann, Co-founder and CEO of Raycast, to discuss being productive on a Mac, going beyond their free tier, the extensions built by the community, the Raycast Store, how they’re executing on Raycast AI chat which aims to be a single interface to many LLMs. Raycast has gone beyond being an extendable launcher – they’ve gone full-on productivity mode with access to AI paving the way of their future.

2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities.