Podcast
AI in NYC Show
Hosted by AI in NYC Team · EN
AI In NYC interviews technical leaders, investors, and business executives about the impact AI is having on the greatest city in the world. If you are a New Yorker, or just love AI and are looking to understand how AI will impact your world, please subscribe.
14episodes
Episodes
Newest firstAll episodes
EP 26: Building the Next Generation of AI Leaders with Dr. Taniya Mishra
1w ago00:42:29Tap to summarizeDr. Taniya Mishra shares her remarkable journey from early machine learning research and accessibility-focused AI projects to building SureStart, a company dedicated to bringing AI fluency to students around the world. Together, they explore what it means to prepare the next generation for an AI-driven future—and why responsible AI, mentorship, creativity, and critical thinking matter more than ever.The discussion covers the evolving workforce, the impact of AI on entry-level jobs, the importance of ethics in technology education, and whether today's race toward advanced AI is overlooking the human element. They also examine how AI can be used to empower people, foster innovation, and create opportunities rather than simply automate work.Check out SureStart: thttps://mysurestart.com/Subscribe to AI IN NYC newsletter: https://magic.beehiiv.com/v1/c2777e42... Join the community: https://aiinnycshow.com/
Transcribe →EP25: The Future of AI Storytelling, AGI & Creative Worlds with Hilary Mason
2w ago00:43:58Tap to summarizeIn this episode of AI in NYC, Rob and Ryan are joined by Hilary Mason for a wide-ranging conversation on the evolution of AI in New York — from the early data science era to today’s generative AI landscape.The discussion dives into the early days of data science in New York, the rise of AGI hype in Silicon Valley, and why practical AI product design may matter more than chasing artificial general intelligence. The episode also explores the growing importance of small language models, harness engineering, and building AI systems that are actually useful for people instead of relying on chatbot-first experiences.The second half of the episode focuses on the future of AI-powered storytelling and interactive entertainment. The conversation breaks down how immersive narrative engines could allow users to create characters, shape evolving storylines, and participate inside fictional worlds in entirely new ways. Rather than replacing creators, these AI tools are positioned as creative amplifiers designed to help writers, gamers, and storytellers unlock richer and more meaningful experiences.Check out Hidden Door: https://www.hiddendoor.co/Subscribe to AI IN NYC newsletter: https://magic.beehiiv.com/v1/c2777e42-a25b-4683-bc3e-e47a10dbc291Check out our website & send us guests / promote your company on our channel: https://aiinnycshow.com/Thank you to our sponsor: https://www.bepresentapp.com/
Transcribe →EP 24: Cerebras IPO, Dead Internet & the AI Backlash with Rob May, Ryan Eppley
3w ago00:39:47Tap to summarizeIn this episode of AI in NYC, hosts Rob May (Co-Founder & CEO, Neurometric) and Ryan Eppley (Co-Founder & CEO, RootAccess) go deep on the biggest AI hardware and infrastructure stories of the week — no guest needed, just two hardware-obsessed founders breaking it all down.First up: the Cerebras IPO. Rob and Ryan give a technical but accessible breakdown of what makes the Cerebras wafer-scale chip so different — from its distributed SRAM architecture that eliminates the classic Von Neumann bottleneck, to the sheer audacity of using an entire silicon wafer as a single chip. They discuss why inference workloads are fragmenting beyond GPUs, what the Groq acquisition by Nvidia signals about the market, and whether Cerebras' $50B+ market cap at 100x revenue is justified or dangerously frothy. If you've been wondering whether to invest or just want to understand the AI chip landscape beyond Nvidia, this is a must-listen.Then the conversation shifts to a Washington Post survey finding that 71% of Americans oppose data centers being built in their communities. Rob and Ryan question the methodology, debate whether this NIMBY backlash is rational, and explore what it means for the future of AI infrastructure. Plus: quick updates on the show's growth, the new job board, sponsor transitions, and more topics they planned to cover including dead internet theory, celebrity AI trademarks, and the viral UCF graduation AI backlash. Subscribe to the newsletter and check out the AI in NYC job board at our website! https://magic.beehiiv.com/v1/c2777e42-a25b-4683-bc3e-e47a10dbc291https://aiinnycshow.com/
Transcribe →EP 23: Your AI Is Broken Because Your Data Is with Gabi Steele, Preql
Apr 2900:48:19Tap to summarizeIn Episode 23 of AI in NYC, hosts Rob May, Anna Kirk, and Ryan Eppley sit down with Gabi Steele, co-founder and CEO of Preql AI, to tackle one of the most overlooked problems in the AI gold rush: your data foundation is probably broken, and that's why your AI agents aren't working. Gabi brings a unique perspective — she went from building data visualizations at the Washington Post during Trump's first term to teaching at Columbia and Parsons, then dove deep into data engineering after watching her co-founder's experience at WeWork, where a 100-person data engineering team still couldn't wrangle the company's spiraling data infrastructure.The episode kicks off with a deep dive into the bombshell WSJ report that OpenAI is missing key revenue and user targets ahead of its IPO. The panel debates whether this signals a real inflection point for the AI industry or just healthy competitive pressure from open-source models, DeepSeek, and a rapidly shifting market where agentic coding has overtaken conversational search as the killer app. Gabi weighs in with a grounded take from the data trenches — she talks to CFOs every day who tell her LLMs are too slow and they still want dashboards, revealing a massive gap between AI hype and enterprise reality.The conversation evolves into a fascinating discussion about what interfaces should look like in an agent-first world. Rob shares his love for the physical Wall Street Journal, the group debates tactile vs. digital experiences, and Ryan introduces the concept of "Harness Experience" — designing not for users, but for agents. Gabi's core message resonates throughout: companies are rushing to deploy AI and automation but skipping the critical data layer that makes any of it actually work. If you're building with AI, buying AI tools, or leading a data team, this episode is essential listening.Preql AI is building the infrastructure layer that reconciles and contextualizes enterprise data from across all your systems so AI agents can actually function. Currently focused on CFO buyers, Preql launched its agent-first product in July 2025. Learn more about Preql and connect with Gabi on LinkedIn.
Transcribe →EP 22: Edge AI, Privacy & Japan's Different Approach ft. David Justus, VP of Applied AI @ Panasonic
Apr 2100:41:19Tap to summarizeSponsor: BePresent - https://www.bepresentapp.com/In this episode of AI in NYC, hosts Rob May, Ryan Eppley, and Anna Kirk sit down with David Justus, VP of Applied AI at Panasonic, to explore one of the most underappreciated frontiers in artificial intelligence: edge AI. David breaks down how Panasonic is deploying AI in internet-constrained environments — from in-flight entertainment systems on transatlantic flights to manufacturing floors and stadium video processing — where sending data to the cloud simply isn't an option.The conversation takes a fascinating geopolitical turn as David contrasts how the US, China, and Japan are each taking radically different approaches to generative AI. While the US doubles down on closed, AGI-focused ecosystems and China pushes open-weight models, Japan is quietly building sovereign, domain-specialized AI — including the recently released Rakuten V3 model that outperforms GPT-4o on Japanese-specific tasks. David argues that the US approach may not be great for edge computing and could be starting to show cracks.David also shares insights from Panasonic's research lab, including new work on using diffusion models for document understanding, and explains why the last six months have been a true inflection point for running meaningful AI on small, resource-constrained devices. Whether you're building products, leading an AI team, or just trying to understand where the industry is heading beyond the data center, this episode is packed with perspective you won't hear anywhere else.David Justus brings a background in applied mathematics and computer science, with experience spanning finance, creative industries, and consulting for companies like Verizon, Nike, and Mayo Clinic before joining Panasonic's global applied AI team two years ago.
Transcribe →EP 21: Cloud Coding Agents & the Mythos Model Panic with Matthew Mirman, Chat.Dev
Apr 1600:33:02Tap to summarizeIn Episode 21 of AI in NYC, Rob and Ryan sit down with Matthew Mirman, founder of Chat.Dev — a cloud hosting platform for coding agents that he describes as 'Heroku for Claude Code.' Matt walks us through how he went from building legal tech AI tools for personal injury lawyers to launching a platform where anyone can spin up a cloud VM, run a coding agent in YOLO mode, and even manage the whole thing via text message.The conversation digs into the pivotal moment last November when Claude Code went from 'okay' to genuinely transformative — enabling people with zero coding experience to build full production applications. Matt shares how showing his early prototype to just 20 friends led to 5 of them using it 5+ hours a day within a week, a product-market fit signal that convinced him to go all in.The episode also covers the latest industry news including Anthropic's Mythos model announcement through Project Glasswing, what it means for the AI safety conversation, and whether competitors like Google or state actors already have comparable capabilities. Plus, the hosts break down Amazon's bombshell $15 billion AI run rate in AWS and Andy Jassy's defense of their massive $200B capex spend — reigniting the debate over whether we're in an AI bubble or just the beginning of an infrastructure supercycle.Whether you're a developer curious about cloud-hosted coding agents, a founder evaluating the AI infrastructure landscape, or just trying to keep up with the breakneck pace of AI news, this episode has something for you. Tune in and don't forget to subscribe.Thank you to our sponsor, BePresent. Check them out: https://www.bepresentapp.com/
Transcribe →EP 20: What VCs Won't Tell You About Getting Funded with Charlie O'Donnell
Apr 300:54:18Tap to summarizeIn Episode 20 of AI in NYC, we welcome back our original guest — Charlie O'Donnell — to talk about his upcoming book 'Founder Unfriendly: What Investors Won't Tell You About Getting Funded.' Charlie has spent years in the NYC venture ecosystem helping founders navigate the opaque, often misleading world of fundraising, and this book is his attempt to arm the 99% of founders who aren't insiders with the real playbook. Charlie breaks down why the feedback you get from VCs almost never reflects the real reason they passed, how junior associates can inadvertently string you along, and why the fundraising process actually starts way before you ever pitch a deck — possibly as far back as high school. He also shares a fascinating look at how he used AI to organize and structure a 250-page book from a messy list of inside-joke chapter titles. We also discuss the emotional arc of founding a company — including why the day you announce your startup might be the most dangerously misleading day of all. If your network congratulated you but didn't offer a single customer intro, that's a signal worth paying attention to. Whether you're a first-time founder or a repeat entrepreneur, this episode is packed with honest, practical insight you won't hear in a typical VC blog post. Sponsored by BePresent (bepresentapp.com) — the #1 app in its category that uses social media engagement techniques to keep you OFF your phone. Also: join us April 15th at 5:30 PM for our first in-person Cloud Code class for non-technical people in NYC!
Transcribe →EP 19: Rebuilding the Internet for the AI Era with Zachary Smith, Datum
Mar 2800:48:30Tap to summarizeIn this episode of AI in NYC, Rob and Ryan sit down with Zachary Smith, co-founder of Datum, to explore why the foundational infrastructure of the internet needs a radical overhaul for the AI era. Zach — a lifelong New Yorker who traded a classical music career at Juilliard for the wild world of Linux web hosting in 2001 — brings a rare depth of experience spanning multiple companies, acquisitions, and a front-row seat inside Equinix, one of the largest interconnection companies on Earth.Zach introduces his concept of the 'splinternet' — a world where geopolitics, regulation, and the demands of AI workloads are fragmenting the once-unified internet — and explains why Datum is building an open network cloud to serve the next wave of what he calls 'alt clouds': the roughly one thousand (and growing) new cloud providers that don't fit neatly into the old hyperscaler model. From Databricks to GPU startups to niche SaaS platforms, Zach argues these alt clouds need shared infrastructure primitives they can't afford to build alone.The conversation also gets deeply personal. Zach opens up about the emotional toll of selling his first bootstrapped company after 11 years, the therapy and intentional downtime he needed before starting again, and the unique dynamic of building multiple companies with his identical twin brother Jacob. His mentor Bill Luby's advice — 'this is the best time because you have no past' — becomes a throughline for how Datum approaches building for the long term in a world obsessed with speed.Whether you're a founder, an infrastructure nerd, or just curious about how the physical internet actually works, this episode is packed with insights about what's changing beneath the surface of every AI application you use. Tune in for one of the most thoughtful conversations we've had about the invisible plumbing of the internet age. Check out datum: https://datumdata.ai/ Thank you to our sponsor: BePresent - Download their app here: https://apps.apple.com/us/app/bepresent-screen-time-control/id1644737181
Transcribe →EP 18: Can AI Read Your Mind? Neurotech & Privacy with Kristen Mathews, Cooley LLP
Mar 2000:42:05Tap to summarizeWhat happens when AI meets your brain data? In Episode 18 of AI in NYC, Rob May and Anna Kirk sit down with Kristen Mathews, cyber/data/privacy partner at Cooley LLP with nearly 30 years of experience, who has carved out a fascinating niche at the intersection of privacy law and neurotechnology. Kristen breaks down what neurotech actually is — from invasive brain implants to consumer wearable headbands — and explains how AI has been the key catalyst turning a century of brain signal data into actionable, decoded information. The conversation dives deep into the different categories of neurotech, including how devices can not only read brain activity but also stimulate it — with real applications like predicting seizures 20 minutes before they happen and suppressing them with electrical pulses. Rob shares his firsthand experience from sitting on the board of a neurotech company, while Kristen paints a vivid picture of the current landscape, including New York City's role as a major hub for the neurotech community. Perhaps the most thought-provoking segment explores the ethical frontier: the difference between decoding 'intended speech' (helping ALS patients communicate) and 'inner speech' (your private thoughts). Where's the line? Can AI tell the difference? Kristen is refreshingly honest about what we don't yet know, while emphasizing that every neurotech application she's seen in practice today is being used for good. This episode is essential listening for anyone interested in AI, privacy, the future of brain-computer interfaces, and why the next big privacy debate may be about your thoughts. Relevant links: www.nytimes.com/2003/06/22/magazine/savant-for-a-day.html https://icaot.org/jose-delgado-a-controversial-trailblazer-inneuromodulation/ Kristen Mathews on Linkedin: https://www.linkedin.com/in/kristen-mathews-6025257?utm_source=share&utm_medium=member_mweb&utm_campaign=share_via&utm_content=profile Download BePresent: https://apps.apple.com/us/app/bepresent-screen-time-control/id1644737181
Transcribe →EP 17: Governing AI for Real - With Alayna Kennedy, MasterCard
Feb 2600:57:54Tap to summarizen Episode 17 of AI in NYC, hosts Rob May, Ryan Eppley, and Anna Kirk sit down with Alayna Kennedy — Director of AI Governance at MasterCard — to talk about what it actually looks like to turn high-minded AI principles into real, operational governance inside one of the world's largest financial companies. Alayna brings a rare combination of hands-on AI model development experience (she built fraud detection models at IBM for a major federal agency) and deep academic credentials in fairness, accountability, and transparency in machine learning. The conversation digs into the gap between publishing a principles document and actually embedding ethics into your data pipeline, product development, and deployment process. Alayna shares insights from her master's thesis research, where she interviewed data scientists and governance teams across companies to find out who's really putting AI ethics into practice — and who's just posting it on a website. The team also explores the biggest concerns facing major enterprises when it comes to frontier models vs. open source, the ethical blind spots most people miss, and where the real resistance to AI adoption comes from inside large organizations. Whether you're building AI products, governing them, or just trying to understand how the biggest companies in the world are navigating this moment, this episode is packed with practical insight. Plus, stick around for the crew's favorite Saturday morning NYC activities Thank you to our sponsor: BePresent https://www.bepresentapp.com/ More of Alayna's work: https://alaynakennedy.github.io/
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