Can AI save us from the toxic digital world it helped create? In this episode, Polish AI engineer Grigorij Dudnik shares how he's building AI agents that handle our digital drudgery—from Tinder GPT that automates online dating conversations to Clean Coder that writes code autonomously. His most fascinating project puts language models on Raspberry Pi to create physical robots that make ethical decisions, like a toy train solving the trolley dilemma in real-time. Grigorij's philosophy is revolutionary: instead of AI keeping us glued to screens, it should free us to focus on real human connections and meaningful work. Through his three groundbreaking projects, he demonstrates how AI can disrupt the attention economy rather than feed it, offering a glimpse of a future where our digital servants handle the boring stuff while we live our actual lives.

What if your next coworker is an AI agent? In this episode of AI Rebels, developer Nim shares his journey building AI Agent Dot App, exploring how solo entrepreneurs can now harness agents to do the work of entire teams. From bootstrapping with terminal-based scripts to creating sticky, memory-driven agents, Nim breaks down the evolution of autonomous AI tools, the psychology of adoption, and the legal grey zones ahead. It's a raw, insightful dive into the future of work, where personalization, iteration, and adaptability define the edge.

https://x.com/sup_nim
https://nime.sh/

What if the “hallucinations” we fear in generative AI are exactly what NASA needs to spot the next crisis 40 years early? In this episode, former Pentagon model‑fixer and pandemic data firefighter James Villarrubia explains how his skunk‑works team at NASA’s Convergent Aeronautics Solutions convinces large language models to dream thousands of future scenarios, then distills them to reveal the fragile linchpins of tomorrow’s air‑travel system . Alongside that mind‑bending workflow, he breaks down hidden biases baked into commercial LLMs, argues why government may need its own secure models, and shows how disciplined foresight beats reactive firefighting—whether you’re in the cockpit, the policy room, or the startup lab .

Imagine AI that never asks and never sleeps—just thinks, decides, and acts in the background. In this episode, agent‑builder Ropirito walks hosts Jacob and Spencer through his evolution from insurance‑era rule‑bots to Nous Research’s vision of “passive‑mode” LLM agents, explains why most projects are mere tool‑wrappers masquerading as autonomy, and dishes on the hard problems—context drift, brittle web UIs, legal gray zones—that stand between today’s chatbots and tomorrow’s truly independent collaborators.

https://x.com/ropirito

What if the biggest obstacle to using AI in finance isn’t the technology, but the way we think? In this episode of AI Rebels, Spencer and Jacob sit down with Jason Pikoos, Managing Partner at Connor Group, to uncover how AI is reshaping accounting, where companies are falling behind, and what mindsets are essential for the future. Packed with real-world use cases and actionable advice, this conversation will change how you see AI and your career.

What happens when a philosopher, physicist, and lawyer walks into the world of quantum AI? In this mind-expanding episode of *AI Rebels*, Dr. Elijah Perry unpacks his journey from poststructuralist theory to cutting-edge quantum machine learning. With razor-sharp insight, he explores how quantum systems might unlock new dimensions of artificial general intelligence, why AI risk needs a serious empirical upgrade, and how evaluating the identity of AI agents could be the key to safer, smarter systems. Whether you're into metaphysics or machine learning, this is one conversation you won’t want to miss.

Is today’s AI built on a flawed foundation? In this episode of AI Rebels, Alexander Naumenko, software developer turned AI theorist, challenges the dominant paradigms of logic-driven and statistical AI. Drawing from his concept of "semantic binary search," Naumenko proposes a new model of intelligence inspired by the game 20 Questions—where intelligence is about selecting the best option under constraints, not predicting outcomes. He argues that true intelligence hinges on recognizing relevant differences and defining features, not statistical similarity. His vision? A radical rethinking of AI—one that may finally bring us closer to real general intelligence.

Daniel Alberson, founder and CEO of Agentive, passionately reveals how AI is shaking up the traditionally conservative auditing industry. Frustrated by repetitive, low-value tasks early in his audit career at Ernst & Young, Alberson embarked on a journey to revolutionize the audit process. His company, Agentive, leverages advanced AI technologies, notably language models, to automate painstaking manual reconciliations and document reviews that auditors dread.
https://goagentive.com/

"Are you ready to revolutionize early childhood education with tech that empowers rather than numbs?" On this energizing episode of the AI Rebels Podcast, hosts Jacob and Spencer sit down with DeLonn Crosby, founder of Say Kid, to explore how technology can transform learning for our youngest minds. DeLonn introduces 'Toy Bot'—an innovative, screen-free device that fuses voice technology with tangible play to spark creativity, boost executive function, and forge genuine human connections. Through a live magic trick demo and an in-depth discussion on design challenges—like making cutting-edge tech affordable on platforms such as Alexa and ensuring it’s developmentally appropriate—DeLonn makes a powerful case: if we’re serious about transforming education, we must reach kids early with tools that empower both teachers and families.

https://www.toybot.com/

Can AI predict when your employees are about to quit—before they even realize it themselves? Tyler Hochman, founder and CEO of FORE Enterprise, reveals how his company uses artificial intelligence to pinpoint hidden workforce attrition risks and proactively tackle them. Learn why seemingly trivial data, like where an employee eats lunch, can be a shocking indicator of turnover. 

https://foreenterprise.com/