Machine Dreams

AI in healthcare is often described like it’s some magic. It isn’t.

In this episode of Machine Dreams, AccuLine CEO Moshe Barel explains how medical AI actually works, why human oversight matters, and what it really takes to build diagnostic tools doctors can trust.

Everyone wants to add AI to their products right now. But few stop to ask whether it actually belongs there.

In the last episode of Machine Dreams for 2025, we speak with Josh Hart, co-founder and Chief Product and Technology Officer at YuLife, about what really matters before AI ever enters the picture. Josh has been building digital products since childhood and now leads a prevention-first insurance platform focused on health, trust, and long-term behavior change.

This conversation is not about models, prompts, or buzzwords. It is about design. It is about emotion. It is about understanding how people actually experience technology and why most AI features fail not because the tech is bad, but because the product thinking is.

We talk about why AI should often stay invisible, how gamification and user experience shape healthier behavior, what trust means when AI touches health and finance, and where founders go wrong when they treat AI as the product instead of a tool.

If you are building with AI or thinking about it, this episode will make you pause. And that pause might save you from building the wrong thing.

Everyone seems to be adding AI to their products. But very few stop to ask the harder question if it should even be there in the first place.

In this final episode of 2025, we sit down with Josh Hart, co-founder and Chief Product and Technology Officer at YuLife, to talk about what really matters before you add AI.

If you are building with AI in the new year, this is the pause you should take before you move forward.

Full episode out today.

7pm GMT+1. 6pm UK. 1pm EST.

Watch out!

Everyone is asking whether AI is in a bubble. Fewer people are asking the right question.

In this episode of Machine Dreams, we sit down with Guy Dassa, Investment Partner at OurCrowd, Israel’s most active VC with over $2 billion assets under management, and head of its AI portfolio, to unpack what is really happening behind today’s AI investment frenzy.

From infrastructure and foundational layers to applications, valuations, and so-called “round-tripping,” Guy explains why AI is not a repeat of the dot-com era and where long-term value is actually being built.

We explore how serious investors think about hype versus fundamentals, why picks-and-shovels matter more than headline apps, how Israel fits into the global AI ecosystem, and what founders need to understand if they want to raise capital in 2025 and beyond.

This is a rare, candid look at AI investing from someone deep inside the market.

Is AI repeating the dot-com era or are we misreading what’s happening?

In this episode of Machine Dreams, we sat down with Guy Dassa, who leads AI investing at OurCrowd, Israel’s most active VC with over $2B in assets under management, for a candid conversation about AI valuations, infrastructure versus applications, and why the bubble debate may be missing the point.

Full episode coming out soon on Machine Dreams Podcast.

7pm WAT. 6pm UK. 1pm EST.

Ofir Mulla spends his days inside the uncomfortable edge cases of AI perception, where systems misread shadows as people, mistake celebration for aggression, and struggle to understand why context matters more than pixels.

As cofounder and CTO of Lumana, Ofir joins Machine Dreams to explain why most AI-driven cameras still fail at understanding real-world human behavior and what it actually takes to build systems that can learn context, adapt to environments, and reduce dangerous false alerts.

From kindergartens flagged in the middle of the night to stadium crowds misread as threats, this conversation explores the limits of visual AI, the role of historical data, the risks of blind automation, and why trustworthy physical AI requires more than a single model or a flashy demo.

If you care about safety, security, deepfakes, or how AI systems will operate in physical spaces we all share, this episode offers a rare, grounded look at what is working, what is failing, and what needs to change.

We keep talking about smarter models and better benchmarks. But one big question that we don’t see many talk about is whether AI actually understands the world it’s being asked to operate in.

In this episode of Machine Dreams Podcast, we sit down with Ofir Mulla, CTO of AI video security leader Lumana, to unpack why visual AI still misreads everyday reality and what it would take for machines to truly understand context, behavior, and intention.

Roger Camrass has spent more than 50 years advising Global 500 companies through every major technology shift — from the birth of the Internet to mobile data to today’s AI revolution. In this episode, he joins Machine Dreams to explain, with rare clarity, what AI will actually mean for your life, your career, and your identity.

He breaks down the real risks, the opportunities, the jobs that may disappear, and the human skills that will matter most in a machine-driven world. This is a wide-open, deeply honest conversation with someone who has watched entire industries rise and fall, and now sees AI reshaping society in ways few people are ready for.

The AI revolution is here, but most people still don’t understand what’s really changing.

Our next episode breaks it open with Roger Camrass, a technologist who helped pioneer the internet and has lived through five decades of disruption and says AI will reshape work, identity, and opportunity in ways no one is ready for.

Today.

7PM WAT. 6PM UK. 1PM EST.

On all platforms.

Watch out!

The AI revolution isn’t running on magic. It’s running on databases, and most were never built for what’s coming.

In this first episode of Machine Dreams, hosts Kolawole Samuel Adebayo and Leah Stern sit down with SurrealDB cofounder Tobie Morgan Hitchcock to explore the unseen engine behind modern AI systems.

From chaotic tech stacks to multi-model queries to why AI agents need fast, unified access to data across time, relationships, and context, Tobie breaks down the bottlenecks shaping the future of intelligent machines.

Whether you’re an engineer, a founder, a policy thinker, or someone trying to understand how AI actually works behind the scenes, this conversation is a deep dive into the infrastructure the industry doesn’t often talk about, but absolutely depends on.