AI for Business Leaders

Albert Chun, Founder/CEO of AI Circle, on Training a Frontier Model, and Why "Everyone's B+" Without Experience

"Quality over quantity. It is never about the number." Albert Chun is the Founder of AI Circle — a vetted community for business leaders, founders, and operators building at the frontier of AI. Before AI Circle, Albert was a teacher in two of the country's poorest congressional districts, a Harvard grad student, an insurtech operator who scaled from 3 reports to managing 211 people across 13 M&As, and a senior leader at Invisible Technologies — where his team helped train what became the #1 open source frontier model in the world. In this episode, Dennis and Albert get into what it actually looks like inside an AI company building on the frontier, why the AI ecosystem is over-indexed on credentials and under-indexed on experience, and the deeper human problem AI Circle is really solving. In this conversation, we cover: * Why Albert walked away from C-level offers at triple the pay to take an AI role that "felt like the A+ problem in the A+ space of the industry" * What training a frontier model actually looks like day-to-day — and why reading one arxiv paper can put you ahead of almost everyone * How Albert thinks about AI ROI when model outputs are stochastic, loss functions don't map cleanly to revenue, and causation is a finger in the wind * The gatekeeping problem in AI — why polysyllabic jargon like "chain of thought reasoning" is really just "me sharing what I thought and why I did it" * Why Andrew Ng and Andrej Karpathy are both building education — and Albert's theory that education, not GPUs, is the biggest bottleneck in AI acceleration * Writing in public since Xanga and Friendster, the story of a broken pair of glasses that led to a $250K donation, and why corporate "stay in-house" advice was the wrong tea leaf * Why AI Circle is bootstrapped, not VC-backed — and the fight story from sophomore year that shaped how Albert thinks about community size forever * The deeper problem AI Circle is really solving: community, connection, and relationship as life gets harder, and friend circles get smaller If you are a business leader trying to separate real AI signal from buzzword noise — or a founder thinking about how to build trust-based community in an era of vanity metrics — this is one of the most honest conversations on the pod.

Gary Benerofe, General Partner at Mu Ventures, on the Future of Agentic Commerce and What VCs Really Look for in AI Founders

What separates a genuine AI commerce startup from AI theater? Gary Benerofe is the General Partner of Mu Ventures, an early-stage venture capital fund investing in the future of commerce. With over 20 years deploying capital across stages and asset classes, Gary brings a unique combination of operational expertise and investment acumen — what he calls "operating capital." In this conversation, we cover: * What "operating capital" means and why it matters more than just a check * The pattern recognition behind picking venture-backed founders — magnetism, talent attraction, and repeat founder advantage * How Mu Ventures expanded from pure commerce enablement to any transaction that removes friction * OpenAI's instant checkout vs. Google's agent payments protocol — two completely different approaches to agentic commerce * Why Gary's AI red flag is when the AI IS the thing, rather than AI making the thing better * The return to grassroots brand building as CAC rises and attribution breaks down * TikTok Shop, experiential marketing, and why hand-to-hand combat is back * Why the next 5 years of commerce infrastructure will be defined by buyer-agent-to-buyer-agent transactions * The real etymology of Mu Ventures (hint: it involves Yale, quarters, and beer) If you're a founder, operator, or investor trying to separate signal from noise in the AI commerce landscape, this is the investor's lens you need.

The AI Maximalist Playbook: James Raybould on Building at the Speed of Ideas

James Raybould is the former SVP and General Manager of Turing Intelligence, the enterprise consulting and AI deployment division of Turing — a company valued at $2.2 billion that partners with frontier AI labs like OpenAI to help enterprises transform AI from proof-of-concept into proprietary intelligence. Before Turing, James spent 13 years at LinkedIn, where he played a key role in two major acquisitions: the $1.6 billion Lynda.com deal that became LinkedIn Learning and the Glint acquisition that brought employee engagement tools into the platform. In this episode, Dennis and James dig into: * What it actually means to be "AI forward" — not as a buzzword, but in daily practice (from kid's homework tutoring to athletic training plans) * The #1 pattern that separates enterprises that succeed with AI from those that get stuck * Why picking a narrow, metrics-driven use case beats trying to "AI-ify" an entire function * How AI is shifting from incremental efficiency gains to a complete rewrite of how companies operate * The coordination cost problem — and why removing human bottlenecks accelerates everything * Why the gap between an idea and a functioning product is now measured in minutes, not months * The people side: how leaders can help their teams move past fear and embrace AI as an amplifier Whether you're a founder evaluating where to deploy AI first, or an executive trying to get your organization to move faster — this episode delivers practical, no-fluff insights from someone who's seen both sides: building AI products and deploying them inside the enterprise. Connect with James on LinkedIn: linkedin.com/in/jamesraybould Learn more about The Other Group: www.getothergroup.com [http://www.getothergroup.com/]

Charlie Ninegar, COO of DSS Games, on Getting People Off Their Phones and Growing Against the Grain

Charlie Ninegar is the COO of DSS Games, a fast-growing tabletop card games company on a mission to get people off their phones and back around the table. In this episode, recorded live at eTail Palm Springs, we dig into how DSS Games stole market share while their category actually shrank through relentless content quality, brand discipline, and a team-first approach to AI adoption. Topics covered: * Growing in a shrinking market through content-first strategy * TikTok-first organic content: from 1,200 videos/year to fewer but higher-impact * Custom GPTs as a practical first step for AI adoption * Change management: why some young employees resist AI (and what to do about it) * The coming shift from "no AI in creative" to AI-assisted brand content * Why the AI arms race looks different outside the tech bubble Sign up at www.getothergroup.com [http://www.getothergroup.com/] for early access to episodes, frameworks, and insights we don't publish anywhere else.

Aman Advani of Ministry of Supply On Building Customer Loyalty Through Rapid Experimentation (from Etail Palm Springs)

In this insightful interview, Iman from eTale shares how his apparel brand adapted to supply chain disruptions, leveraged AI for rapid testing and inventory management, and built customer loyalty through experimentation. Discover strategies for agility, AI integration, and maintaining innovation in a challenging market. * Supply chain agility and on-demand inventory * AI-driven rapid testing and decision-making * Building customer loyalty and increasing LTV