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AI in NYC Show
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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.
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In this episode of AI in NYC, hosts Rob May (Neurometric) and Ryan Eppley (Root Access) dive deep into the intersection of human intimacy and artificial intelligence. With Valentine’s Day around the corner, they explore the startling statistic that 33% of Gen Z has engaged in romantic conversations with AI. Is technology a tool for building human connection, or a replacement for it? They also break down the latest industry drama, including Anthropic’s aggressive "Keep Thinking" ad campaign, OpenAI’s move into the advertising space, and the rise of multi-agent frameworks like Gastown that are changing how we develop software. *Topics Covered*: Sponsor Spotlight: BePresent – Using social media psychology to break phone addiction. The Gen Z AI Romance Boom – Why 1/3 of young adults are talking to bots. AI "Eager to Please" vs. Human Messiness – Why conflict and "clunkiness" are necessary for real growth. Tools of the Trade – From RizzGPT to Eva AI and the world's first AI dating café. The Utility vs. Morality of AI – Exploring the ethics of the sex tech industry and robotics. Collaborative Filtering vs. Personalization – Why human chemistry can't be fully "scraped" or predicted by an algorithm. The MoltBook Incident – What happens when AI agents build their own Reddit-style communities? Gastown & Multi-Agent Orchestration – A new framework for automated software development. The AI Ad Wars – Anthropic’s "Keep Thinking" campaign vs. OpenAI’s new ad testing. New York Minute – Why SoHo is the new Times Square and the reality of the Financial District. *Tech Mentioned*: BePresent App: https://www.bepresentapp.com/ (The screen-time reduction tool featured in today's show). Anthropic: https://www.anthropic.com/ (Superbowl ad). OpenRouter: https://openrouter.ai/ (The platform for routing prompts to multiple AI models). Gastown: The experimental open-source multi-agent orchestration framework for automating software dev.
Dennis Mortensen, 20-year NYC entrepreneur and founder of x.ai (the AI scheduling assistant), joins Rob May and Ryan Eppley to share war stories from building one of the first real AI agents—years before LLMs existed. We dive into: → The insane complexity of AI scheduling (what does "soon" actually mean?) → Why perceived errors were harder to solve than real ones → ChatGPT's move into advertising—should we be worried? → Is the AI bubble real? (Dennis sold his AI stocks last week 👀) → Apple licensing Gemini for Siri: brilliant move or generational fumble? → What Dennis is building now at Launch Brightly Topics discussed:ChatGPT & ads: https://www.msn.com/en-us/news/techno... Quantum computing & Bitcoin: https://www.investors.com/news/techno... Apple & Gemini: https://www.cnbc.com/2026/01/12/apple...Connect with Dennis: LinkedIn: / dennismortensen Launch Brightly: https://launchbrightly.com
Caroline (Carrie) Hodge, CEO & Co-founder of Dimer Health, joins us to talk about building an AI-powered healthcare company that bridges the gap between hospital discharge and follow-up care. We dig into patient trust in AI, the launch of ChatGPT Health, why AI can't make clinical decisions (yet), and what happens when malpractice meets machine learning.Plus: Grok's image generator goes off the rails, a new Wisconsin deepfake law, Yann LeCun leaves Meta to build world models, and why enterprise AI was the surprise star of CES.Guest: Carrie Hodge — CEO & Co-founder, Dimer Health https://www.dimerhealth.com LinkedIn: / carolinethodge Hosts: Rob May — Co-founder & CEO, Neurometric Ryan Eppley — Co-founder & CEO, Root Access Anna Kirk — Sales Lead, Thread AIArticles Discussed: ChatGPT Health Launch — https://openai.com/index/introducing-...Grok AI Deepfake Controversy — https://www.rollingstone.com/culture/...Wisconsin Deepfake Bill — https://www.wmtv15news.com/2026/01/06...Gary Marcus on Yann LeCun Leaving Meta — https://garymarcus.substack.com/p/bre...Enterprise AI at CES — a...
We're closing out 2025 by showcasing 6 incredible AI startups building right here in New York City — the applied AI capital of the world.Rob May and Ryan Eppley sit down with founders solving real problems across legal tech, elder safety, AI security, compliance automation, manufacturing intelligence, and AI-powered SEO.🎯 STARTUPS FEATURED:*CounselPro - Ian O'Brien*AI-powered forensic accounting for legal professionalsAutomates financial document analysis for divorce, bankruptcy, and fraud cases50+ customers, fully bootstrappedWebsite: https://www.counselpro.aiLinkedIn: https://www.linkedin.com/in/ian-obrien*Silvershield - Alec Glassman*Protecting older adults from digital fraud and scamsAI assistant that analyzes suspicious texts and emailsLaunching across New York State in January 2026Website: https://www.silvershield.aiLinkedIn: https://www.linkedin.com/in/alec-glassman*Krnel - Peyman Faratin*AI model security and control at runtimeLooks inside models to detect vulnerabilities and control behaviorDemocratizing AI safety toolsWebsite: https://krnel.aiLinkedIn: https://www.linkedin.com/in/pfaratin*Koop - Sergey Litvinenko*Compliance automation for tech companiesHandles SOC 2, AI governance, and regulatory requirements23x growth since seed roundWebsite: https://www.koop.aiLinkedIn: https://www.linkedin.com/in/sergey-from-koop*Tendrel - Akash Nandi*Operations intelligence for manufacturingAI-powered insights for industrial frontline workersMinimizing downtime, maximizing productionWebsite: https://www.tendrel.ioLinkedIn: https://www.linkedin.com/in/agnandi*OpenForge - Jason Patel*AI SEO platform (Answer Engine Optimization)AI agents that optimize businesses for ChatGPT and AI search50,000+ YouTube subscribers, six-figure ARR in 4 monthsWebsite: https://www.openforge.ai/aboutLinkedIn: https://www.linkedin.com/in/pateljasonYoutube Channel: https://www.youtube.com/@UCnxPG10xnU5-WB2RpnxAivQ💡 KEY THEMES:Applied AI solving real business problems todayNYC's diverse AI ecosystem beyond frontier model labsBootstrapped and early-stage funded companiesFrom elder care to manufacturing to compliance🗽 WHY NEW YORK?New York City is emerging as the applied AI capital — hundreds of startups focused on bringing AI to real industries with real customers. Less hype, more substance.Support these founders:✅ Check out their websites✅ Connect with them on LinkedIn✅ Share with relevant connections✅ Help grow NYC's AI ecosystemHOSTS:Rob May - Co-founder & CEO, NeuroMetricRyan Eppley - Co-founder & CEO, Root Access📍 Recorded in NYC | December 2025🎙️ AI In NYC PodcastSubscribe for weekly AI insights from New York City's tech scene!#AIinNYC #AI #ArtificialIntelligence #NYCTech #AIStartups #Startups #TechPodcast #MachineLearning #AppliedAI #Founders #Entrepreneurship #2025YearEnd
Jason Hiner, Editor-in-Chief of The Deep View, joins AI In NYC hosts Rob May and Ryan Eppley to break down the biggest AI stories of 2025; from DeepSeek's January shockwave to Google's stunning November comeback with Gemini 3. MAJOR MOMENTS WE COVER: DeepSeek's China Breakthrough- How they trained frontier models on a fraction of resources and changed the efficiency conversation forever OpenAI's O3 Reasoning Model- The inference-time compute revolution and what it means for 2026 The Great Talent War- $100M packages, brain drain, and why some engineers turned down Meta's money GPT-5's Disappointment- What OpenAI's loss of Ilya Sutskever and Mira Murati really meant Google's Redemption Arc - From "toast" to Wall Street darling in 6 months Stargate & the $500B AI Factory- Circular financing, Oracle deals, and what's really happening The Bubble Question - Why Jason thinks we're NOT in a capital-B bubble (but there are small ones)KEY INSIGHTS:95% of enterprise AI deployments still aren't profitable (MIT study)Only 13% of the world uses generative AI—massive growth aheadWorld models will be the "AI agents" of 2026Multi-model systems replacing single LLM approachesAMD is coming for Nvidia's dominance🔮 2026 PREDICTIONS:End of "one model to rule them all" thinking AGI/superintelligence labels will fade as overhype The year of AI optimization and efficiency OpenAI's overstretched focus problem will show cracks 🗽NEW YORK QUESTION: All three hosts agree: Times Square is the worst tourist trap in NYC GUEST: Jason Hiner - Editor-in-Chief & Chief Content Officer, The Deep View Subscribe: https://subscribe.thedeepview.com/AI IN NYC HOSTS: Rob May - Co-founder & CEO, NeuroMetric Ryan Eppley - Co-founder & CEO, Root Access 📍 Recorded in NYC | December 18th 2025 🎙️ AI In NYC Podcast - Your source for AI insights from the applied AI capital Subscribe for weekly AI insights from New York City's tech scene! #AIInNYC #AI #ArtificialIntelligence #DeepSeek #OpenAI #Google #Gemini #AIBubble #NYCTech #MachineLearning
In Episode 10, we sit down with Doug O’Laughlin, President of SemiAnalysis and author of Fabricated Knowledge, to break down the truth behind GPUs, the semiconductor supply chain, and the massive power demands coming with AI’s next phase. From the behind-the-scenes AMD exposé that forced a turnaround, to why Nvidia’s GPU dominance is not just about specs, to how fragile the global chip ecosystem really is—this episode dives deep into the hardware, economics, and geopolitics driving the AI boom. We also cover the rise of alternative accelerators, the future of U.S. chip manufacturing, Intel’s identity crisis, nuclear vs. on-site generation for data centers, and whether we’re already sliding into an AI bubble. GUEST Doug O’Laughlin – President, SemiAnalysis Founder, Fabricated Knowledge Leader in AI semiconductor + data center research
In this episode: Rob May and Anna Kirk sit down with Ben Coleman, founder & CEO of RealityDefender, to talk about the future of deepfakes, misinformation, detection tech, and why New York might actually be the best place to build applied AI. We cover the moment Ben realized deepfakes were going to become a world-scale problem, what it takes to stay ahead of AI-generated media, the shifting investor sentiment around safety tools—and yes, Rob tries to get Ben to explain how to make Anna say something she would never say in real life.https://www.realitydefender.com/
Why Nonprofits Need AI Now — With Jenni Warren & Jake Porway of Decoded Futures In Episode 8 of AI in NYC, hosts Rob May (CEO & Co-founder, Neurometric) and Ryan Eppley (CEO & Co-founder, Root Access) sit down with Jenni Warren and Jake Porway from Decoded Futures — a Tech:NYC Foundation initiative powered by Robin Hood and Google.Jenni, a Program Director with 15+ years of experience across Magpie Literacy, Success Academy, and DSST Public Schools, and Jake, an Entrepreneur-in-Residence and Co-founder of DataKind, join the table for a wide-ranging, philosophical, and fun conversation.Decoded Futures website: https://www.decodedfutures.nyc/Featuring:Jenni Warren — Program Director, Decoded FuturesJake Porway — Entrepreneur-in-Residence, Decoded Futures & Co-founder, DataKindRob May — CEO & Co-founder, Neurometric (Host)Ryan Eppley — CEO & Co-founder, Root Access (Host)Producer: Madi DonlanFor guest inquiries:aiinnycshow@gmail.comaiinnycshow.com | @aiinnycshow on instagram
Welcome to AI in NYC! In Episode 7, hosts Ryan Eppley (Root Access) and Anna Kirk (Thread AI) sit down with Waleed Atallah, CEO of Mako, to dive deep into the world of AI hardware, GPUs, and the future of computing.In this episode:Waleed’s journey from Intel to founding MakoWhy GPUs are taking over the world of AIThe challenges of programming for GPUs and how Mako is solving themThe evolution of AI coding agents and the async vs. sync debateInsights on enterprise AI adoption, current trends, and the future of workFun NYC stories, favorite city landmarks, and more!Timestamps:0:00 – Intro & guest welcome2:30 – Waleed’s background and career path10:00 – The rise of GPUs and parallel processing20:00 – What Mako does and why it matters35:00 – AI coding agents: async vs. sync50:00 – Enterprise AI adoption & industry trends1:10:00 – NYC stories & favorite buildings1:20:00 – Closing thoughtsConnect with us:Ryan Eppley: Root AccessAnna Kirk: Thread AIGuest: Waleed Atallah, CEO of MakoDon’t forget to like, comment, and subscribe for more episodes on AI, startups, and tech in New York City! Send us your swag! aiinnycshow@gmail.comaiinnycshow.comAI #Podcast #NYC #GPUs #Startups #Mako #artificialintelligence
FeedbackNow VP of AI, Sam Koch, joins the show to share how he’s actually using AI, not just talking about it. From automating real workflows to bringing hardware back into tech, Sam breaks down what works (and what doesn’t) when scaling automation in Private Equity.Why watch:Real examples of AI that save hours of workWhat failed (and why some automations aren’t worth it)Why hardware gives startups defensibility againHow culture and management make or break AI transformationActionable lessons from hand-labeling data to scaling lean startupsTopics:AI in Private Equity · Workflow automation · Real-world data · Hardware comeback · State space models · Culture in digital transformationArticles discussed:State Space Model gets major funding (LinkedIn)Data Centers and Jet Engines (IEEE Spectrum)Michael Burry bets against Palantir and NVIDIA (Yahoo Finance)Amazon vs. Perplexity AI Agent (Bloomberg)Hosts:Rob May (NeuroMetric) · Anna Kirk (Nadia Partners) · Ryan Eppley (Root Access)Want us to wear your company swag on the show or talk bookings?Email: aiinnycshow@gmail.comLike, subscribe, and drop your favorite NYC burger in the comments!
Discover SimpleApply — the smarter way to land your next job!Visit: https://simpleapply.aiHosts: Rob May — CEO & Co-founder, NeuroMetric AIAnna Kirk — Chief of Staff, Nadia PartnersIn this episode of AI in NYC, hosts Rob May (CEO & Co-founder, NeuroMetric) and Anna Kirk (Chief of Staff, Nadia Partners) sit down with Joe Perrotta, CEO and founder of SimplyApply, to explore how AI is transforming the job search, hiring, and the future of work.What’s Inside:Joe shares the story behind SimpleApply and how it’s helping thousands of job seekers automate and streamline their job hunt.The team debates “AI doom loops” in hiring—will automation and countermeasures spiral out of control, or is it just a temporary inefficiency?Real-world metrics: Joe reveals SimpleApply’s growth, user success rates, and what’s really happening in today’s job market.Beyond resumes: Why networking, authenticity, and human connection still matter in an AI-driven world.Rob’s unique approach to hiring for diversity and the value of randomness in finding hidden talent.Favorite interview questions, personality tests, and candid takes on the latest AI news: OpenAI’s new browser, Anthropic’s leadership statement, and the future of AI hardware.Featured Articles & Resources:SimpleApply.aihttps://theconversation.com/ai-genera...https://techcrunch.com/2025/10/21/ope...https://www.anthropic.com/news/statem...https://www.nytimes.com/2025/10/13/te...“By building our own chip, we can embed what we’ve learned from creating frontier models...
Hosts:Rob May — CEO & Co-founder, NeuroMetricAnna Kirk — Chief of Staff, Nadia PartnersRyan Eppley — Co-founder & CEO, Root AccessGuest:Joe Dormani — Partner, Thomson Reuters VenturesEpisode Overview:This week we sit down with Joe Dormani for a deep dive into AI investing, legal tech, and how enterprise adoption is really unfolding in the wild. We cover venture strategy, defensibility, the future of professional services, and whether the billable hour can survive AI. We also explore the cultural side of AI — including dating apps, RizzGPT, and Joe’s belief that “organic rizz is better than synthetic rizz.”Segments & Key Topics:• Joe’s career path across AI product, corporate strategy, and venture investing• How Thomson Reuters Ventures evaluates companies in legal, tax, accounting, fintech, and compliance• Build vs. buy vs. partner vs. invest — how enterprises make AI decisions• Real-world AI adoption: what’s working and what still has friction• Defensibility in AI: data, workflow depth, UX, and true IP• The billable hour vs. an AI-native legal industry• The rise of AI tool proficiency as a career skill• Cultural AI: RizzGPT, dating-app AI, and generational shifts• $300M+ seed for Periodic Labs, AMD vs. NVIDIA, and macro AI market dynamics• NYC segment — our favorite calm spots in the cityQuotes:“AI is a tool — proficiency and investment determine the outcome.”“The billable hour may not survive an AI-first legal industry.”“Organic rizz is better than synthetic rizz.”!!!Founders!!! send us your merch for a shoutout in a future episode.Subscribe, comment, and drop your guest suggestions for next week.
In this episode Rob and Ryan interview Eric Litman, CEO of Aescape, which builds a robotic massage table. Eric talks about how robotics has exploded in NYC in the last few years, and how it compares to building his first company in mobile tech in the mid 2000s. The crew also discusses an article about how ChatGPT is destroying marriages, and debates again whether or not AI is in a bubble.Leave a comment on the show and we will choose the best one to get an Aescape gift card for a free massage.
In this episode Rob, Anna, and Ryan talk to Collectivei co-founder Stephen Messer and discuss his background as an early NYC tech entrepreneur, and building AI in New York before it was cool. The crew also discusses an article from The Atlantic about whether or not there is an AI bubble, and Jerry Neumann’s recent Collossus article “AI Will Not Make You Rich”The show ends with everyone contributing their best “what I overheard in New York” story.
Listen to Rob, Anna, and Ryan discuss the New York tech scene and recent AI articles with Charlie O'Donnell. Charlie is a life long New Yorker and long time venture capitalist. He discusses his experience working for Josh Kopelman and Fred Wilson, two of the most successful venture capitalists of all time, and the key catalysts that have turned NYC into a dominant hub for AI.Charlie's blog - thisisgoingtobebig.com
Welcome to exhilarating episode of AI Innovators with Rob May! In this episode, Rob is joined by Dan Schwarz, founder of FutureSearch, for an in-depth conversation about the future of artificial intelligence and the pivotal role forecasting plays in understanding where AI is headed. Unlike any previous guest, Dan brings his unique perspective as a leader of a company that leverages AI to predict the future of AI itself.The AI Innovators Podcast is sponsored by Half Court Ventures and the Investing in AI newsletter, this episode promises to provide a wealth of knowledge for anyone interested in the cutting-edge developments in AI and their real-world applications. Dan and Rob dig into some of FutureSearch’s boldest forecasts—like predictions on OpenAI’s 2027 revenue and the emerging business models that could power an intelligence explosion. They explore how AI-driven forecasting is dramatically improving the ability to answer tough questions about technology, industry disruption, and the timeline for true superintelligence. Dan shares FutureSearch’s methodology, the importance of track records in making credible predictions, and why the next wave of AI revenue is likely to come from “agents” rather than traditional products like ChatGPT.Throughout the episode, you'll get insights into the challenges and opportunities facing foundational model companies like OpenAI and Anthropic, the impact of disruptive new technologies, and why positive feedback loops could make AI’s evolution much faster—and more surprising—than most expect.Whether you’re an investor, technologist, or just fascinated by AI’s rapid progress, this episode is loaded with expert analysis, real-world examples, and forward-looking ideas to keep you ahead of the curve.Episode Highlights:Costs and Investment: OpenAI is burning through far more capital than previous tech companies due to the enormous compute costs required for their models. The money they’ve raised is more about meeting these high operating expenses than signaling runaway revenue success.Competition and Technological Disruption: Key risks include rivals (like Anthropic, Google) overtaking OpenAI in model quality. There’s also the ever-present possibility that a left-field technology breakthrough could upset current leaders.Forecasting Superintelligence: Future Search contributed to AI 2027, a collaborative forecast about the path to superintelligence. Dan sees the automation of coding, followed by automated AI research, as critical “dominoes” that could lead to an intelligence explosion—though he’s skeptical about this all happening extremely soon.Limits to Forecasting: There are fundamental, probabilistic limits to what either humans or AI can forecast—some things simply can’t be known in advance due to inherent uncertainty (like specific “black swan” events), but much of the world is more predictable than people expect when approached rigorously.Dan's Links(Linkedin)futuresearch.aiEpisode Timestamps02:00 – Establishing Credibility Through Track Records: Why past performance and reputation matter when building trust in AI...
Welcome to exhilarating episode of AI Innovators with Rob May! In this episode, we explore the transformative power of AI in marketing and branding with our distinguished guests: Catherine Perloff, a journalist focused on the advertising business of big tech platforms, and Noah Brier, an entrepreneur passionate about integrating AI into marketing strategies.The AI Innovators Podcast is sponsored by Half Court Ventures and the Investing in AI newsletter, this episode promises to provide a wealth of knowledge for anyone interested in the cutting-edge developments in AI and their real-world applications. Catherine and Noah delve into how AI is reshaping the advertising landscape by enabling creativity and accelerating content creation. They discuss the challenges marketers face with AI adoption, such as the slow integration within large enterprises and concerns over data privacy and brand safety.Rob, Catherine, and Noah also consider the future role of AI in branding and marketing, emphasizing the importance of maintaining strong brand identities in a rapidly evolving technological environment. Whether you're a marketer, technologist, or simply curious about AI's influence, this episode is packed with valuable insights to help you keep pace in the AI-driven world. Tune in to discover how AI experts are pushing the boundaries of what’s possible in marketing!Episode Highlights:AI in Marketing: Explore how AI is driving innovation in marketing by streamlining the creation of ads and enabling more dynamic advertising strategies.Challenges in AI Adoption: Learn about the hurdles large brands face in adopting AI, from legal barriers to cultural resistance within organizations.Branding and AI's Future: Gain insights into the evolving role of branding in an AI-centric world and how brands can position themselves for success amidst changing media landscapes.Catherine's Links(Linkedin)Noah's Links(Linkedin)(brxnd.ai)Episode Timestamps04:43 – AI in Advertising: How the advertising industry is embracing AI for creativity, targeting, and efficiency.07:45 – Brand Renewal Through Experimentation: The role of AI in driving brand reinvention and creative risk-taking.12:49 – AI Tools & Brand Identity: Balancing AI-generated content with quality control and brand authenticity.14:22 – Data Sharing Dilemmas: Navigating the privacy, trust, and security challenges of AI data sharing.19:45 – Rethinking Branding Fundamentals: Examining how AI is reshaping the core principles of branding.20:49 – Global Brand Consistency: Leveraging AI to ensure cohesive brand experiences across international markets.
Welcome to another exciting episode of AI Innovators with Rob May! In this episode, we dive deep into the intersection of artificial intelligence and risk analysis with Scott Weller, co-founder of Enfi AI. The AI Innovators Podcast is sponsored by Half Court Ventures and the Investing in AI newsletter, this episode promises to provide a wealth of knowledge for anyone interested in the cutting-edge developments in AI and their real-world applications. Scott shares his insights on how AI is transforming the credit industry by streamlining the underwriting process, making commercial lending more efficient, and, ultimately, boosting economic growth. Rob and Scott discuss the challenges and solutions surrounding AI's role in financial services, including dealing with LLM hallucinations and building agent-based systems. Scott also reflects on the evolution of digital coworkers and their role in the future workforce. Whether you're an entrepreneur, technologist, or simply curious about AI's impact, this episode is packed with valuable insights on staying ahead in the AI-driven world. Tune in to explore the future possibilities with AI experts leading the charge!Episode Highlights:Efficient Credit Analysis: Scott highlights how AI can streamline credit risk assessment by automating mundane tasks, allowing analysts to focus on more complex decision-making, ultimately enabling banks to lend more efficiently.Agent-Based Systems: He discusses the development of agentic systems that are fine-tuned to specific tasks, helping reduce errors like hallucinations and improving overall system reliability in data-heavy environments like finance.Future of Digital Workforces: Scott envisions a future where digital coworkers, empowered by natural language processing, work alongside humans to enhance productivity and drive innovation in various industries.Scott's Links(Linkedin)(enfi.ai)01:00 - Streamlining Credit Risk Assessment. 03:53 - "Agent Systems for Controlled AI Tasks." 08:12 - Future: Human-AI Workforce Collaboration. 13:19 - "Automate Mundane for Success." 16:16 - Trustworthy AI Models for Financial Services. 19:32 - Challenges in Agent Planning Accuracy. 21:34 - Optimizing Task Execution Plans. 24:05 - Join ENFI AI: AI Partnerships Invited.
Welcome to another episode of AI Innovators with Rob May, where we explore the transformative impact of artificial intelligence on various industries. In this episode, we're joined by the insightful Karen Hao, a freelance journalist known for her expertise in AI and technology reporting. The AI Innovators Podcast is sponsored by Half Court Ventures and the Investing in AI newsletter, this episode promises to provide a wealth of knowledge for anyone interested in the cutting-edge developments in AI and their real-world applications. Karen shares her unique journey from a mechanical engineering background to becoming a leading journalist covering AI advancements, initially at MIT Technology Review. Together, Rob and Karen dive into pressing topics such as the current landscape of AI ethics, the rapid developments in AI capabilities, and the ongoing global competition in the AI space, particularly between the US and China. Karen also provides a sneak peek into her forthcoming book on OpenAI, promising an in-depth look at one of the most influential companies in AI today. Tune in to hear their thought-provoking discussion on the societal impacts of AI, the challenges of maintaining ethical standards in an ever-evolving field, and the importance of fostering international collaboration for the benefit of all.00:42 - Karen Hao's career and unexpected start in AI journalism.01:11 - Karen Hao's initial reluctance to cover AI and eventual realization of its significance.02:31 - Exploration of AI research and its societal impacts.03:31 - Society's preparedness to handle AI's ethical dilemmas.03:59 - Complex world challenges ethical AI development.05:33 - Race against time in AI development versus ethical consideration.05:39 - Deep Seek's impact and reflection on AI industry's scaling beliefs.07:45 - Thoughts on hardware as the only moat in AI development.09:07 - Public market reactions and AI defensibility concerns.10:30 - Discussion on AI hardware innovation and talent.12:01 - Societal costs demand efficient AI hardware and software.13:02 - Ethical concerns in AI development supply chains.13:34 - Hope for innovative solutions to AI's power consumption.14:30 - Silicon Valley's AGI obsession and skepticism.15:29 - AGI's shifting definition and its relevance in AI development.17:12 - Concerns over ideological divides hampering AI dialogue.17:50 - US-China AI competition narrative's incorrectness.19:37 - Importance of international collaboration in AI research.20:20 - Shift from competition to cooperation for global AI progress.20:42 - Book recommendation: "Non Zero" by Robert Wright.20:49 - Karen Hao's book announcement and its focus on OpenAI.21:18 - Inside story of OpenAI and future AI implications.Karen Hao's Links(Linkedin)
Welcome to another episode of the AI Innovators Podcast! I'm your host, Rob May, and in today's episode, In today's episode, our distinguished guest is Joseph Jorgensen, the founder of Capsule Video. Join us as Joseph shares the story behind Capsule, a ground-breaking AI-powered video editing platform designed to make video creation easier for businesses, especially large enterprises. From the challenges of video content creation to the innovative ways Capsule leverages AI to streamline the editing process, Joseph provides invaluable insights into the dynamic intersection of technology and business. AI Innovators Podcast is sponsored by Half Court Ventures and the Investing in AI newsletter, this episode promises to provide a wealth of knowledge for anyone interested in the cutting-edge developments in AI and their real-world applications. Jorgensen provides a candid look into their strategic approach of integrating multiple AI models while maintaining the flexibility to adapt to rapidly evolving technology.Key highlights include:- How Capsule Video leverages AI to simplify video editing processes- Their strategic focus on enterprise clients and brand consistency- The challenges and solutions in implementing AI models effectively- Practical insights into product development in the fast-moving AI landscapeThis conversation is especially relevant for entrepreneurs, tech professionals, and anyone interested in the practical applications of AI in content creation. Jorgensen's parting wisdom about balancing celebration of achievements while maintaining forward momentum offers valuable perspective for aspiring business leaders.Whether you're a startup founder, AI enthusiast, or business professional looking to understand the future of video content creation, this episode provides actionable insights and thought-provoking discussion about the role of AI in transforming traditional industries.Joseph Jorgensen's Links(https://capsule.video/)(Linkedin)(Joseph's Linkedin)0:00:02 - Joseph Jorgensen introduces their platform philosophy. 0:00:13 - Rob May's podcast introduction and welcome. 0:00:48 - Joseph Jorgensen's greeting. 0:01:01 - Beginning of founding story discussion for Capsule. 0:03:09 - Discussion of AI video editing begins. 0:05:20 - Discussion about AI implementation strategy. 0:07:26 - Transition to business and go-to-market discussion. 0:09:12 - Sponsorship break (Half Court Ventures and Investing in AI newsletter). 0:09:55 - Discussion of AI model limitations and workarounds. 0:13:09 - Product strategy discussion in rapidly changing AI landscape. 0:15:11 - Discussion of problems they wish others would solve. 0:17:24 - Career advice segment begins. 0:19:38 - Closing remarks. 0:19:58 - Outro and subscription reminder.




