AI Rebels

AI is now spotting the news before journalists even know it exists . DeepNewz’ founder reveals how their system scans real-time signals from across the internet to uncover emerging stories faster than any newsroom. He breaks down why writers are secretly relying on AI, how tiny teams are scaling like giants with agents, and where media is headed next. The conversation uncovers the shift from simple article summaries to true signal discovery and personalized news intelligence. If you want an early look at the future of information, this is a conversation you can’t afford to miss.

Most retail traders don’t realize they’re battling algorithms that execute 70–80% of all market activity. Robert Grzesik reveals how Bot Spot turns plain-English instructions into actual Python trading bots capable of running on real brokerages. The discussion digs into AI-assisted backtesting, strategy optimization, and agentic systems that can research news or sentiment before placing trades. A new marketplace for user-built algorithms hints at a future where anyone can publish or refine automated strategies. What emerges is a clear view of algorithmic trading becoming not just more powerful—but radically more accessible. 00:00 — The Problem: Retail Traders vs. Automated Markets 03:20 — Why Algorithmic Trading Is Hard for Individuals 06:45 — The Inspiration Behind Bot Spot 10:12 — Building Trading Bots with Natural Language 14:30 — Backtesting, Deployment, and Real-World Execution 18:55 — AI Research Agents & Agentic Trading Systems 22:40 — Crypto, DeFi, and Expanding Beyond Traditional Markets 26:05 — LumiBot Origins and the Path to Bot Spot 31:10 — Marketplace for User-Built Trading Algorithms 36:20 — The Future of Finance: Fully Autonomous AI Investing https://www.botspot.trade/ https://www.linkedin.com/in/robertgrzesik/

AI note-takers are already obsolete, and Camden Bean, CEO of Ping Assistant, explains why the real power is everything that happens before and after the meeting. In this episode, he reveals how Ping is building a full-context engine for accountants that remembers every client detail, automates emails and documents, and turns hours of work into minutes. Camden breaks down the wild speed at which modern builders can create using AI, including how he built in a weekend what used to cost $40,000 and months of engineering time. He shares a transparent look at how Ping co-creates features with accounting firms, why specialized AI beats generic tools, and what the next wave of automation will look like. If you want to understand where AI is actually heading, and how fast it’s coming, this conversation is a must-listen.

Austin Allred lived in his car in San Francisco teaching himself to code, and now he runs a program where students never write a single line. At Gauntlet AI, engineers learn to direct AI systems that do all the coding while companies pay recruiting fees upfront, making the entire training free for students who land $200K jobs. The model works because the skills gap has reversed: employers are now bottlenecked by talent, not the other way around. Allred's most practical insight gets overlooked by most users: when AI fails, ask it what went wrong, the models can often tell you exactly where they're likely to be incorrect. Traditional coding education didn't slowly evolve; it hit a wall, and the people learning to work alongside AI rather than compete with it are the ones companies are fighting over.

What if rebellion looked like collaboration instead of chaos? Plotly’s VP of Marketing Dominic Revita traces his journey from coding the first internet-only bank in the 90s to shaping the next generation of AI-native tools. He reveals how open source innovation and AI-driven creativity are merging to make data storytelling more human—and more powerful. The conversation dives into the philosophy behind building transparent tech that empowers rather than replaces. It’s a visionary look at the future of AI as a partner in progress, not a threat to it. https://plotly.com/ 00:00 – Welcome to AI Rebels Setting the tone: why innovation and rebellion matter in AI. 00:45 – Meet Domenic Revita (Plotly VP of Marketing) From engineer to marketer: bridging tech, data, and storytelling. 03:00 – From the Dot-Com Era to the AI Age How Domenic went from coding the first internet-only bank to building modern data platforms. 08:30 – Lessons from TIBCO and SingleStore Real-time analytics, distributed systems, and the rise of product-led growth. 13:45 – Inside Plotly’s Vision How open source and interactivity changed the way we visualize data. 20:00 – The AI Shift: From Tools to Teammates Why the future of data analysis is agentic, automated, and deeply human-centered. 27:30 – Behind Plotly Studio Exploring their AI-native app that turns raw data into insights in minutes. 35:00 – Serving the Next Billion Knowledge Workers Empowering everyday users, not just data scientists. 40:00 – The Power (and Future) of Open Source How open ecosystems are outpacing closed models like “closed AI.” 46:00 – The Future of AI Collaboration Where human creativity meets intelligent systems — and what’s next. 49:00 – Final Reflections Domenic’s advice for builders in the age of AI innovation.

Derek Crager, founder of Practical AI, joins AI Rebels to explain how voice is set to become the next one-click revolution. Derek shares his journey from industrial construction to Amazon, weaving in lessons about simplicity, usability, and the power of capturing tribal knowledge. We dive into how voice AI can transform the workplace by making expertise instantly accessible and breaking down barriers to learning. Derek also unpacks the “AI gold rush,” explaining why the real winners will be those building the tools rather than chasing hype. Whether you’re curious about the future of jobs, usability breakthroughs, or the practical side of AI, this conversation is packed with insights and humor. https://www.linkedin.com/in/amazonleadership https://www.practicalai.app/

What’s the one thing every enterprise overlooks when building AI? According to Jim Liddle, Chief Innovation Officer at Nasuni, it’s not the model, it’s the data architecture. In this episode, Jim explains why unstructured data is both the biggest risk and the biggest opportunity for enterprise AI. He highlights the persistent compliance gap around sensitive information, the challenge of fragmented storage, and the dangers of agentic autonomy without safeguards. Resilience takes center stage, with a focus on immutable snapshots and instant recovery to keep systems reliable. Jim also shows how agent orchestration works in practice, from splitting prompts to managing context windows. Looking ahead, he shares how Nasuni’s FileIQ and OpsIQ can help organizations build AI-ready data foundations without drowning in tool sprawl. https://www.nasuni.com/ https://www.linkedin.com/in/jimliddle

What do magic tricks and AI marketing have in common? A lot, according to Jeff Greenfield, CEO of Provalytics. In this conversation, we unpack the challenges of data privacy, the rise of Amazon and Walmart’s closed ecosystems, and why AI ads may be unavoidable. Jeff explains how his background as a magician and chiropractor shaped his approach to stress reduction and business problem-solving. It’s a fascinating, fast-paced look at how AI is reshaping advertising — and what that means for trust.

AI power-broker Mike Spaeth doesn’t mince words: if we fail to reskill fast, automation will wipe out one in five jobs. He points to Texas’s Alpha School, where AI squeezes a whole school day into two turbo-charged hours—proof that the education rulebook is already being torched. Spaeth calls out companies hoarding the “time dividend,” insisting that every minute saved by bots must be plowed back into people or productivity gains will evaporate. He cites Malaysia’s nationwide up-skilling blitz and even recommends Karpathy’s two-hour language-model primer, turning lofty ideas into a step-by-step survival kit. Stick around to the final beat, when the crew dares you to hit replay in 2035 and judge whether we chose equity—or let AI widen the divide.

Take a front-row seat as Jake and Spencer chart AI’s breakneck advance—progress so fast that many observers still look the other way. They highlight Anthropic CEO Dario Amodei’s forecast that the very shape of work could shift within a decade, then demo the new Veo 3 video model, which can generate multi-scene, lip-synced video with layered vocals, background sound and “vibe”. Rounding things out, the hosts weigh deep-fake ethics and consider how lawmakers and faith communities might craft sensible guardrails rather than panic. .

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/

Can AI innovation outpace our ability to regulate it? In this episode of AI Rebels, Andrea Isoni, Chief AI Officer at AI Technology, dives deep into the rapid evolution of artificial intelligence, the complexities of synthetic data, and the tricky legal landscape surrounding AI-generated content. From the surprising global landscape of data centers to the shifting market demands post-2023, Andrea shares sharp insights into how smaller AI models are challenging industry giants. Plus, discover why compliance and AI safety might be the hottest trends in tech—and what investors need to know to stay ahead.

Do we even know what intelligence is? Michael dives into his wild journey from video games and music to pioneering AI research, revealing how his 'inactive cognition' theory flips conventional wisdom on its head. He challenges the old-school notion of computational dualism by insisting that intelligence isn’t just software on hardware—but an inseparable blend of both. By leveraging rigorous mathematical formalism, Michael explains how shifting from complex, additive models to lean, ‘weak constraints’ can unlock AI’s true adaptability and safety, with far-reaching impacts from academia to legal personhood. This candid, no-holds-barred discussion is a must-watch for anyone ready to rethink what intelligence means in the AI era.

Would you set up an AI twin of yourself if it helped you understand yourself better and get more done? AI agent designer and developer Aric Eggers joins us to discuss this question and much more. From exploring the power of generative AI in music production with his text-to-wave and text-to-MIDI tools to discussing the philosophical implications of human-AI integration, Aric shares his unique perspective on the blurred lines between digital and human identity. The conversation explores how AI could transform creative industries, the potential for personalized agents to act as digital extensions of ourselves, and the broader implications of AI in everyday life. Don't miss this mind-bending discussion on creativity, technology, and the future of digital personas! https://xebidiah.com/

What will the design process and design jobs look like in an AI lead world? Marco van Hylckama Vlieg's insights shed light on the evolving role of AI in creativity, design, and the workplace. He advocates for a balanced approach where AI is used as a tool to enhance human creativity rather than replace it. His journey and initiatives, such as Imagine AI Live, underscore his commitment to building a vibrant AI community and educating others on the potential of AI in creative industries. Follow Marco on X and YouTube at @AIandDesign for more insights on AI in creativity and design.

What does the future of artistry and media creation look like, what new tools will be at your disposal? We sit down with Justin from Somewhere Systems to dive deep into the intersection of AI and media production. From AI-powered content creation to the ethical implications of automation in the creative industry, this conversation explores what’s next for filmmakers, musicians, and digital storytellers. Whether you're an AI enthusiast, a content creator, or just curious about the future, this episode will challenge the way you think about media.