In this episode, Philipp and Bruno talk with tech entrepreneur and AI-pilled engineer Arseniy Zharashnev about how AI is transforming software, creativity, and craftsmanship, while raising concerns about originality, human connection, and the value of hands-on work.

In this episode, Philipp Zahn and Bruno Marnette speak with Caroline Ingeborn, COO of Luma AI and former CEO of Toca Boca, about where taste lives when machines generate the pictures.On the topics of taste: For Caroline, taste is personal and recognized rather than judged; every subculture knows its tastemakers. AI slop proves nothing about the machine: AI is just technology, and someone with taste can make tasteful things with it today. But the ideas come from people. AI is trained on what humans have made, so it can produce new things — it just won't come up with them on its own. She explains how Luma hires for taste ("you need to see their boards") and why the first hires matter most: people with taste attract the next ones.They also discuss how Luma's models went from text-to-video, when the results were "mostly explosions," to video-to-video, where a cardboard box becomes a city and two shoes a car chase; why nobody wants to become a prompt engineer, and what forward-deployed creatives do instead; Toca Boca's founding move of treating the App Store as a toy store, and its gender-neutral characters that outperformed Disney; the five patterns of play and how school squeezes adults out of most of them; why everyone now becomes an editor, auditing both themselves and the tool; Hollywood, whose constraint was never creativity but a business model that only greenlights safe bets; and Luma's open research lab, where video models and robotics meet in the physics of the real world.

In this episode, Philipp Zahn and Bruno Marnette speak with Konstantin Adamopoulos, a philosopher, art historian, and coach working between art and business, about what twenty years of forming judgment through art say about AI.On the topics of taste: they explore why Konstantin rejects Silicon Valley's framing of taste as a skill to be learned, how taste is entangled with privilege and perspective, and why he sees tension, not clarity, as the real carrier of information in organizations.They also discuss his role as a "double agent" between the art world and business, why he brings working artists into leadership coaching, and Bob Dylan going electric: Bring the spirit into a new instrument. And Joseph Beuys's 7,000 Oaks in Kassel, home of the documenta.

Andy Tyler joins Taste Bench to discuss what “taste” means in AI. He argues that taste is less about aesthetics and more about “getting it”: understanding intent, making good choices, and acting with agency. The episode covers AI’s progress in image generation, coding, writing, critique, and creative tools, while emphasising that AI is strongest when helping people explore ideas and make informed decisions.

In this episode, Bruno Marnette and Philipp Zahn speak with Joshua Tan, interim CTO of Current AI, about public-interest AI, open-source infrastructure, and the politics of building alternatives to the frontier labs.

On the topics of taste: they explore whether centralized models risk making writing, code, and design more uniform; how local models might better reflect different cultures and communities; and why current AI systems are more useful as mirrors or thought partners than as replacements for human taste.

They also discuss Current AI’s effort to develop a fully open-source alternative to ChatGPT and Claude, why the AI safety movement has struggled as a political movement, and what AI can learn from earlier debates around decentralization and crypto.

In this episode of Taste-Bench, Bruno Marnette and Philipp Zahn speak with Eleanor Warnock, managing editor at Every, about AI, taste, and creative work.We discuss why AI-generated writing often feels brittle and how AI tools can help writers without taking over the parts of the process they care about. Eleanor also explores the gap between Silicon Valley and creative communities, the difference between taste and commercial quality, Japan’s alternative aesthetic traditions, and what Europe might contribute to AI beyond scale and infrastructure.The conversation covers AI writing, journalism, creative process, cultural bias, AI art, Europe’s possible AI edge, and what it would take for AI to unlock more human creativity.