AI Rebels

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_nimhttps://nime.sh/

In this discussion, James Villarubia, a former Pentagon model-fixer turned NASA innovator, dives deep into the potential of AI's "hallucinations" as tools for early crisis detection. He shares insights from his work at NASA’s Convergent Aeronautics Solutions, showcasing how they leverage large language models to explore thousands of future scenarios. James raises critical points about biases in AI, the urgent need for secure government models, and the power of foresight over reactive strategies in technology and policy.

Explore the future of AI as Ropirito reveals his journey from rule-based systems to ambitious passive LLM agents. Delve into the ethical challenges of granting AI autonomy and the intricacies of human-like cognition. Discover the tough roadblocks in automation, like API restrictions on social media and visual understanding in machine learning. The conversation also highlights the complexities of web scraping and the pressing need for innovation in personal assistant technologies. Tune in for insights on the next wave of intelligent, independent agents.

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/

In this engaging conversation, DeLonn Crosby, the founder of Say Kid and inventor of Toy Bot, shares his vision for transforming early childhood education. He unveils Toy Bot, a screen-free device designed to foster creativity and bonding through voice technology. DeLonn discusses the ethical use of AI, the importance of relatable play, and the challenges of making educational tools accessible. He also showcases a captivating magic trick with Toy Bot, highlighting how storytelling can enhance technology's role in child development and family engagement.

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/