Podcast
Inside The Silicon Mind
Hosted by Firas Sozan · EN
Inside the Silicon Mind, hosted by Firas Sozan, takes you behind the scenes with the Founders, CEOs, and Venture Capitalists building the future of technology.
Every week, Firas sits down with the operators and investors rewriting the rules of technology - from the zero-to-one startup journey to scaling billion-dollar companies like Snowflake, Microsoft, and Google.
Discover how the best teams in Silicon Valley are actually built, what top VCs look for before writing a check, and the make-or-break decisions that separate companies that win from those that don't.
Whether you're a founder raising your next round, an engineer deciding where to build your career, or an investor looking for an edge, this is the show that pulls back the curtain on what's really happening inside the Silicon Valley machine.
New episodes every Tuesday at 8AM PT.
10episodes
Episodes
Newest firstAll episodes
Ex-Google Insider: You're Not Ready For The Next Phase of AI
4d ago00:34:06Tap to summarizeWhen we look at the explosive market for LLMs and coding assistants, it’s easy to think we are already on the doorstep of AGI. But what if the systems we call "advanced" are actually operating at the level of a preschooler when it comes to the visual world that enterprises actually care about? In this episode of Inside the Silicon Mind, we sit down with Andrew Dai, co-founder of Elorian, to unpack a fascinating perspective on the true state of artificial intelligence and the legendary culture that birthed the modern AI revolution. Andrew spent 14 years inside Google Brain, working alongside pioneers like Jeff Dean and Geoffrey Hinton. In 2015, he co-authored the seminal paper on language model pre-training and fine-tuning, a breakthrough that created the foundational triangle of modern LLMs. Today, his new research and product lab, Elorian, is taking on the next massive frontier: moving humanity past "baby vision" and building the models that will unlock true visual AGI. You'll hear how traditional text and code models are rapidly maturing while enterprise AI remains heavily bottlenecked, because current systems still possess the visual spatial awareness of a preschooler. We dive into the legendary culture of early Google Brain, why “career osmosis” inside elite teams matters more than most researchers realise, and how true technological breakthroughs in physical industries depend on AI that can inherently understand complex visual diagrams. In this episode: - Traditional text and code models are rapidly maturing, but enterprise AI is heavily bottlenecked because current models possess the visual spatial awareness of a preschooler. - The legendary culture of early Google Brain thrived on intellectual freedom, a lack of product launch pressure, and the cross-pollination of ideas over micro-kitchen lunches. - Ambitious researchers heavily underestimate the power of career "osmosis" – the ability to naturally inherit elite problem-solving frameworks by standing in the same room as greatness. - True breakthroughs in physical industries like aerospace, agriculture, and data center infrastructure cannot be coded; they require AI that inherently understands complex visual diagrams. Chapters: 0:00 – The Myth of AGI & The "Baby Vision" Problem 0:45 – Google Brain: The Bell Labs of the AI Era 1:20 – Inside the Culture of Freedom and Innovation 2:50 – Andrew’s Journey: From the UK to Google Brain 4:45 – The 2015 Pre-Training Breakthrough That Changed Everything 7:41 – Why Language Modeling is the Core of Understanding 10:00 – The Playbook Behind the Google Brain Residency Program 13:01 – Geoffrey Hinton’s Philosophy: Modeling the Human Brain 17:25 – Psychological Safety and the Power of Being Wrong 18:51 – The Concept of Osmosis in Elite Teams 21:41 – Thinking Bigger: Moving Past Academic Niches 23:28 – Why the Frontier Labs Weren't Built Inside Google 26:00 – Launching Elorian: The Mission for Visual AGI 28:55 – The Nokia vs. iPhone Era of AI Development 32:05 – Final Thoughts Book recommendation: Foundation Series – Isaac Asimov About Andrew: Andrew Dai is the co-founder and CEO of Elorian, a research startup focused on advancing AI visual reasoning. Before founding Elorian, he spent 14 years at Google, most recently serving as a Research Director at Google DeepMind. During his tenure there, he was a key leader in the development of the Gemini and PaLM 2 models, co-leading Gemini data efforts and PaLM 2 pre-training. Follow Andrew on LinkedIn: https://www.linkedin.com/in/andrewdai/ About the show Inside the Silicon Mind takes you behind the scenes with the founders, CEOs, and VCs building the future of technology. Every week, Firas Sozan sits down with the operators and investors rewriting the rules – from deep-tech startups to the security challenges created by AI. Hosted by Firas Sozan. Powered by Harrison Clarke. Subscribe for more deep dives on: • AI and the future of software • Venture capital and company building • Developer tools, infrastructure, and engineering careers YouTube: https://www.youtube.com/@InsideTheSiliconMind Apple Podcasts: https://bit.ly/apple-itsm Spotify: https://bit.ly/spotify-itsm Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Website links: https://www.harrisonclarke.com/ https://www.harrisonclarkeventures.com/ https://thepmfplaybook.com/ #AI #VisualAGI #GoogleBrain #DeepMind #ArtificialIntelligence #InsideTheSiliconMind
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AI Expert: TV Is About to Change Forever
2w ago00:36:10Tap to summarizeWhen you watch a movie for the second time, what if you could experience it entirely from the villain's perspective without the director ever having to film a single extra frame? In this episode of Inside the Silicon Mind, we sit down with Alberto, co-founder of Reactor, to explore a massive paradigm shift at the intersection of entertainment, gaming, and software. Reactor is building the fundamental cloud infrastructure and SDK that allows developers to run real-time, interactive, pixel-generated worlds and "world models" at scale with incredibly low latency. Instead of replacing existing media, Alberto's vision is focused on unlocking net-new experiences, moving humanity away from static, pre-rendered content and into a future where pixels are generated on the fly and tailored uniquely to the viewer. You'll hear how real-time AI video generation solves the massive financial risk and low ROI that killed early choose-your-own-adventure concepts like Netflix's Bandersnatch by driving the marginal cost of content variants down to near zero. We dive into how this tech could rewrite the education system through highly visual, immersive worlds, how it alters the philosophy of artistic authorship, and why Alberto believes that in ten years, static user interfaces will vanish in favor of fluid UIs that adapt to how a human brain naturally thinks. In this episode: - Traditional media is fundamentally static, but real-time video generation introduces highly personalized, dynamic content that changes based on who is watching and when. - The massive financial bottleneck of branching narratives, like filming five different versions of a scene, is eliminated when content variation costs next to nothing. - Real-time GenAI enforces active human interaction and collaboration on both sides, keeping artists and creators strictly in the loop rather than replacing them with passive batch automation. - Visual delivery bypasses text-heavy data bottlenecks, allowing humans to absorb tailored knowledge dramatically faster through interactive educational worlds. Chapters: 0:00 The Future of Interactive Storytelling 1:09 What is Reactor? 2:15 Moving Past Static Video & The Bandersnatch Problem 7:31 How Real-Time Tech Changes the Concept of Media 10:58 Redefining Artistic Authorship & Active Engagement 14:51 Immersive Visual Tech in the Education System 19:13 Under the Hood: Building Cloud Infra for World Models 25:10 How AI Coding Agents Empower Non-Technical Creators 27:20 10 Years From Now: The End of Static User Interfaces 32:00 Final Thoughts & Book Recommendation Book recommendation: ENDURANCE: The Greatest Adventure Story Ever Told, by Alfred Lansing About Alberto: Alberto Taiuti is the co-founder and CEO of Reactor, a company building the critical infrastructure layer and SDK for real-time generative video and interactive world models. Before launching Reactor, he was an AR/VR engineer at Apple working on the Vision Pro, and co-founded Luma AI, where he served as CTO and helped pioneer the infrastructure behind one of the world's most widely used 3D and video generation platforms. About the show Inside the Silicon Mind takes you behind the scenes with the founders, CEOs, and VCs building the future of technology. Every week, Firas Sozan sits down with the operators and investors rewriting the rules – from deep-tech startups to the security challenges created by AI. Hosted by Firas Sozan. Powered by Harrison Clarke. Subscribe for more deep dives on: • AI and the future of software • Venture capital and company building • Developer tools, infrastructure, and engineering careers YouTube: https://www.youtube.com/@InsideTheSiliconMind Apple Podcasts: https://bit.ly/apple-itsm Spotify: https://bit.ly/spotify-itsm Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Website links: https://www.harrisonclarke.com/ https://www.harrisonclarkeventures.com/ https://thepmfplaybook.com/ #AI #GenerativeAI #RealTimeVideo #InteractiveStorytelling #WorldModels #EntertainmentTech
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The Hidden Cost of Using AI at Work
3w ago00:21:14Tap to summarizeWhen you drop contracts, strategy docs, or source code into ChatGPT, who actually sees your prompts? In this episode of Inside the Silicon Mind, Firas sits down with Jonathan Mortensen, founder and CEO of Confident Security, to unpack the hidden cost of using AI at work: the fact that what you send to AI tools is not end‑to‑end encrypted and may be retained or even used to train models. Jonathan, a two‑time founder with exits to a cybersecurity firm and Databricks, is now building “you bring the AI, we bring the privacy” – private inference modelled on Apple’s Private Cloud Compute, where even the server cannot see your data. You’ll hear how today’s AI workflows expose legal documents, trade secrets, and customer data, and how cryptography, anonymisation, and remote attestation can lock that back down. You’ll also hear Jonathan’s lessons from previous startups, why “you’re in the business your customers think you are,” and how AI risks like deepfakes, prompt injection, and cognitive atrophy are reshaping how we think about security and trust. In this episode: - AI tools introduce serious privacy risks for sensitive business data. - Confident Security aims to make AI inference private, modelled on Apple’s cryptographic approach. - Anonymising traffic and proving what code is running are key to protecting user information. - The founder mindset behind Confident Security is driven by a desire to create real value and “do things the hard way.” - Learning from customers – including “you’re in the business your customers think you are” – is essential for product development. - AI technology raises new authenticity concerns for consumers, from deepfakes to AI‑generated “slop.” - Agentic browsing, prompt injection, and AI‑generated code present emerging security challenges. - Iteration and fast feedback loops are vital, whether you’re building AI infra or the fastest plane in history. - Understanding the market requires constant learning, adaptation, and asking for feedback. Chapters: 00:00 The privacy dilemma in AI usage 02:46 Confident Security: Apple‑style privacy for AI prompts 05:58 The founder mindset: independence, grit, and doing things the hard way 09:12 “You’re in the business your customers think you are” 12:11 Deepfakes, prompt injection, and consumer AI risks 14:47 Overusing AI and cognitive atrophy 18:20 Skunk Works, iteration, and engineering mindset Book recommendation: Skunkworks by Ben Rich About Jonathan Mortensen Jonathan Mortensen is the founder and CEO of Confident Security, a company building private inference for AI workloads. Before Confident Security, he founded Gyroscope, a reinforcement learning startup acquired by a cybersecurity firm, and a serverless Postgres company acquired by Databricks. About the show Inside the Silicon Mind takes you behind the scenes with the founders, CEOs, and VCs building the future of technology. Every week, Firas Sozan sits down with the operators and investors rewriting the rules – from deep‑tech startups to the security challenges created by AI. Hosted by Firas Sozan. Powered by Harrison Clarke. 🔔 Subscribe for more deep dives on: • AI and the future of software • Venture capital and company building • Developer tools, infrastructure, and engineering careers YouTube: https://www.youtube.com/@InsideTheSiliconMind Apple Podcasts: https://bit.ly/apple-itsm Spotify: https://bit.ly/spotify-itsm Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Website links: https://www.harrisonclarke.com/ https://www.harrisonclarkeventures.com/ https://thepmfplaybook.com/ #AIsecurity #AIprivacy #ChatGPT #Cybersecurity #DataPrivacy
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The $1 Trillion Dollar Question in Venture Capital: What Will Still Matter in 10 Years?
4w ago00:24:14Tap to summarizeWhen AI drives the cost of writing software close to zero, what will still matter in 10 years? Lenny Pruss - General Partner at Amplify, a venture firm managing over $2.5 billion - sits down with Firas to answer the question every founder, engineer, and VC is wrestling with: if anyone can ship software fast and cheap, what actually makes a software company durable anymore? His answer isn’t what you’d expect. In this episode: - Why lead time has collapsed from years to weeks – and what that means for defensibility - The point‑solution companies Lenny believes will be “absolutely railroaded” by foundation models - Why distribution, trust, and ecosystem now matter more than code quality alone - What Lenny looks for in a company today to decide if it will still matter in 10 years Timestamps: 00:00 - The existential question: will this matter in 10 years? 01:17 - Why traditional technical moats are collapsing 04:07 - The classes of companies that get railroaded by AI 06:27 - What a real moat looks like in 2026 09:00 - Trust, maintenance, and ecosystems as the ultimate software value 17:52 - What happens to engineers when agents write the code 18:11 - Tokens, models, and the trillion‑dollar question Book recommendation: The Road to Serfdom, by Friedrich A. Hayek About Lenny Pruss: Lenny Pruss is a General Partner at Amplify, a venture capital firm with over $2.5 billion under management. He focuses on early‑stage software and infrastructure investments, backing companies at the intersection of developer tools, data, and AI. About the show: Inside the Silicon Mind takes you behind the scenes with the founders, CEOs, and VCs building the future of technology. Every week, Firas Sozan sits down with the operators and investors rewriting the rules – from zero‑to‑one startup journeys to the decisions that define industries. Hosted by Firas Sozan. Powered by Harrison Clarke. 🔔 Subscribe for more deep dives on: • AI and the future of software • Venture capital and company building • Developer tools, infrastructure, and engineering careers YouTube: https://www.youtube.com/@InsideTheSiliconMind Apple Podcasts: https://bit.ly/apple-itsm Spotify: https://bit.ly/spotify-itsm Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Website links: https://www.harrisonclarke.com/ https://www.harrisonclarkeventures.com/ https://thepmfplaybook.com/ #VentureCapital #AI #Startup #SoftwareEngineering #AmplifyPartners
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Anyone Can Now Code Software and it's Completely Free
May 2600:28:54Tap to summarizeCoding used to require years of training and a full engineering team. That era is over. In this episode, Eli Chen, Principal Technical Architect at AI Fund, explains how and why the cost and effort of coding is quickly dropping toward zero - and what that means for early-stage founders, engineers, and anyone building in the agentic AI era. Eli has spent 25 years at the frontier of software engineering, from early machine learning to today’s AI-native startup landscape. His central argument is simple: when coding becomes automated, the human skills - architecture, judgment, taste, and customer understanding - become even more important. In this episode: How MVP build time went from 2 months to 2 hours Why the cost and effort of coding is dropping toward zero How agentic AI is changing software building and iteration speed Why engineering judgment matters more than ever in an AI-first world How founders should think about technical hiring right now Advice for anyone navigating the shift from writing code to directing AI Who this episode is for: Early-stage founders building AI-native products Engineers thinking about their edge in a world where coding is increasingly automated Product-led builders trying to find real product-market fit in the AI era Anyone asking what still matters when code becomes cheap and fast Timestamps: 00:00 – The Acceleration of AI Development 02:51 – The Changing Landscape of Software Engineering 06:03 – The Future of Talent in Software Engineering 09:04 – Navigating the Rapid Changes in Entrepreneurship 12:13 – The Importance of First Principles Thinking 14:58 – Challenges in the Fast-Paced AI Market 17:53 – Identifying Value in a Noisy Market 21:10 – The Role of Speed in Startup Success 23:59 – The Future of Work and Talent Dynamics 26:51 – Book Recommendations and Closing Thoughts Book recommendation: Dune by Frank Herbert About Eli Chen: Eli Chen is Principal Technical Architect at AI Fund, where he helps founders build AI-native products on dramatically accelerated timelines using rapid engineering techniques. He was an early engineer at cloud platform iGware, helping scale from zero to hundreds of millions of Nintendo devices before its acquisition by Acer. He later joined Netflix as one of the first streaming engineers during its shift away from DVDs, and then Twitter, where he worked on scaling the platform through its IPO. Eli went on to found a startup in neural network explainability and co-founded Credo AI, a pioneer in AI governance, before focusing on working directly with founders at AI Fund. He believes that in the current era, coding ability matters less than deep AI literacy, taste, and the ability to navigate a landscape where the pace of change keeps accelerating. Follow Eli on LinkedIn: https://www.linkedin.com/in/elichen/ About the podcast: Inside the Silicon Mind goes behind the scenes with the founders, CEOs, and venture capitalists building the future of technology. New episodes every week. Listen and subscribe: YouTube Apple Podcasts Spotify Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Website links: Harrison Clarke Harrison Clarke Ventures The PMF Playbook
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Prevention Is Dead A $70M Founder's Playbook for Surviving AI Attacks
May 1900:22:50Tap to summarizePrevention is dead. The companies still building walls are already losing - and a $70M cybersecurity founder is ready to prove it. In this episode of Inside the Silicon Mind, Firas sits down with Shachar Hirshberg, co-founder of Artemis - an AI-native cybersecurity platform helping enterprises detect and contain attacks before they cause irreversible damage. Shachar paints a stark picture: we’re entering an era of fully autonomous AI-driven cyberattacks that can move from initial access to full data exfiltration in mere seconds. Zero-day exploits that once struck every few months will soon number in the hundreds per day. Nation-state-level sophistication that once cost millions is now available to cybercrime gangs for the price of a ChatGPT subscription. But defenders aren’t powerless. Shachar’s core argument: attackers will never know your business the way you do. The future of cybersecurity isn’t prevention – it’s intelligent, contextual containment that stops damage without stopping your operations. In this episode, you’ll learn: Why AI hacking has permanently changed the threat landscape Why the prevention-first security model is fundamentally broken - and what replaces it The “inevitable breach” mindset every CISO needs to adopt now How Artemis detects and contains attacks in seconds - not hours The defender’s advantage: leveraging internal business knowledge against attackers How to design your security program around the assumption of an inevitable breach, not a perfect perimeter What a “good day” looks like in a world of autonomous AI attacks - and how to measure success when attacks never stop What the next wave of cybersecurity startup opportunities looks like Advice for founders building in AI-driven markets Who this episode is for: CISOs, security leaders, founders, and technical operators who are ready to move beyond prevention and want a battle-tested playbook for detecting, containing, and surviving AI-driven attacks. Book recommendation: The Mom Test, by Rob Fitzpatrick About Shachar Hirshberg: Shachar Hirshberg is a cybersecurity and AI product leader who’s built and scaled world class enterprise security products at companies like AWS and Demisto. He led product management for Amazon GuardDuty and key cloud security initiatives at AWS, and previously helped define the SOAR category as an early engineering leader at Demisto, acquired by Palo Alto Networks for 560M. With a background in computer science, economics, and an MBA from Harvard Business School, Shachar focuses on building new security categories that solve the most critical challenges for global customers. Follow Shachar: https://www.linkedin.com/in/shachar-hirshberg/ About the podcast: Inside the Silicon Mind goes behind the scenes with the Founders, CEOs, and Venture Capitalists building the future of technology. New episodes every week. Subscribe to the podcast and never miss an episode: YouTube: https://www.youtube.com/@InsideTheSiliconMind Apple Podcasts: https://bit.ly/apple-itsm Spotify: https://bit.ly/spotify-itsm Follow the host, Firas Sozan: https://www.linkedin.com/in/firassozan/ More from Inside the Silicon Mind: https://www.harrisonclarke.com/ https://www.harrisonclarkeventures.com/ https://thepmfplaybook.com/ Keywords: AI hacking, AI cyberattacks, autonomous cyberattacks, AI security, zero day exploit, zero day exploit explained, cybersecurity startup, future of cybersecurity, cybersecurity founder interview, AI threat detection, CISO strategy, CISO, cybersecurity 2025, cyber threats AI, AI attacks, cybersecurity playbook, startup founder interview, Shachar Hirshberg, Artemis cybersecurity, AI driven attacks, nation state cyberattacks, inevitable breach, Inside the Silicon Mind
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80% of His Team Were Trapped. This CEO Made One Bold Decision That Saved His Company
May 1200:24:52Tap to summarizeWhen Russia invaded Ukraine, 80% of Cyberhaven’s engineering team was in Kyiv. Employees were stopped at the border. Families were being separated. And one CEO had to decide what kind of leader he was going to be. In this episode, Howard Ting - CEO of Cyberhaven - shares the moment he thought it was the end of the company, and the bold decisions that saved it. You’ll hear how he led through a live-fire crisis, why he believes most companies fail because of people rather than product, and what “people-first leadership” really looks like when everything is on the line. In this episode, you’ll learn: The moment all hell broke loose - and what Howard did in the first 24 hours. Why he told his team: “Family first. Country second. Company last.” How they explored every option, including bribing border officials, to get employees out. The operational playbook for building fault tolerance under fire. What crisis leadership actually looks like when your company is on the line. Why most companies don’t fail on product or market, but on people, culture, and stage-wrong hires. How this experience changed his view on success, sacrifice, and the different “types of wealth” in a career. Chapters: 00:00 Navigating Crisis: The Impact of War on Business 11:46 The People Factor: Why Companies Fail 15:01 Leadership and Personal Growth: A Shift in Perspective 20:02 Work-Life Integration: Balancing Ambition and Family 22:49 Redefining Wealth: Beyond Economic Success Book recommendation: The 5 Types of Wealth, by Sahil Bloom Time charting link mentioned: https://www.instagram.com/p/DFu4TTnxt66/ About Howard Ting Howard Ting is the CEO of Cyberhaven, a data security company protecting the world’s most sensitive information. He has led teams through some of the most extreme operational challenges in startup history and has spent his career building and scaling go-to-market and product teams in high-growth enterprise companies. About Inside the Silicon Mind Inside the Silicon Mind goes behind the scenes with the Founders, CEOs, and Venture Capitalists building the future of technology. New episodes every week. Subscribe to the podcast and never miss an episode. Video version: https://www.youtube.com/@InsideTheSiliconMind Website: https://insidethesiliconmind.com/ Follow & Subscribe: Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Don’t forget to subscribe to the podcast for more conversations with founders, operators, and investors shaping the future of technology. Keywords: Howard Ting, Cyberhaven, CEO, startup, Silicon Valley, entrepreneurship, crisis leadership, cybersecurity, wartime CEO, why startups fail, people-first leadership, Ukraine war
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You Don’t Realise What You’re Giving Up When You Become a Founder
May 500:31:30Tap to summarizeYou Don’t Realise What You’re Giving Up When You Become a Founder | Cosmin Nicolaescu Most people talk about the upside of being a founder. Cosmin Nicolaescu (Microsoft → Stripe → Brex → founder & CEO of Accrual) talks about the cost – losing your optionality, carrying the weight of every hire, and living with a handful of decisions that can define your entire career. In this episode, we dive into: - Why becoming a founder means giving up the “I’ll just go do something else” optionality. - The loneliness of the role and why even the best co‑founders can’t fully remove it. - How Cosmin’s time at Microsoft, Stripe, and Brex prepared him – and what still shocked him as a founder. - Why growth problems are the “best problems” to have, and the hidden downside of losing small‑team camaraderie. - How he thinks about keeping Accrual small and focused while still scaling fast. - The idea that only a handful of decisions truly change a company’s trajectory – and how he decides which ones to sweat. - What he optimises for now: impact, learning, and building from within rather than hiring “free agents”. Chapters 00:00 Introduction – “Locked In” and the Long‑Term Cost of Founding 01:56 The Loneliness and Constant Trade‑Offs of Being a Founder 04:10 Cosmin’s Journey: From Microsoft to Stripe and Brex 06:54 Leaving Stripe for Brex – Using the Regret Minimisation Framework 10:01 Starting Accrual – Deep Domain Knowledge and Customer Impact 14:12 Choosing an Industry – Why Accounting and Financial Infrastructure 16:13 Solving for Impact – Automating Mundane Work for Accountants 19:07 Customer Obsession – Acquisition, Retention, and Expansion 23:05 Growth Problems, Change Management, and Staying Small While Scaling 25:48 From Operator to Founder – What Actually Changes 27:56 Books, Parenting, and How Cosmin Thinks About Learning Book recommendations - Project Hail Mary, by Andy Weir - The Anxious Generation, by Jonathan Haidt Connect with Cosmin LinkedIn: https://www.linkedin.com/in/cosminn/ About Inside the Silicon Mind Inside the Silicon Mind is a podcast powered by Harrison Clarke, exploring how builders, founders, and technical leaders use AI and frontier tech to change industries from the inside out. Subscribe for more Silicon Valley operator insights YouTube: https://www.youtube.com/@InsideTheSiliconMind Apple Podcasts: https://bit.ly/apple-itsm Spotify: https://bit.ly/spotify-itsm Follow the host on LinkedIn https://www.linkedin.com/in/firassozan/ More from Harrison Clarke https://www.harrisonclarke.com/ https://www.harrisonclarkeventures.com/ https://thepmfplaybook.com/ #founder #startups #entrepreneurship #leadership #InsideTheSiliconMind
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How AI Turns Teenagers into Hackers
Apr 2800:33:26Tap to summarizeAI has just lowered the bar to hacking. In this episode, cybersecurity founder Peyton Smith explains how script‑kiddie teenagers, China, and Russia are all using AI to probe critical infrastructure - and what defenders have to do next. Peyton spent years on CrowdStrike’s red team, paid by Fortune 1000 companies to break into “secure” environments and show them where their defences really failed. Now he’s building an AI‑powered platform to continuously stress‑test legacy infrastructure before attackers find the holes. In this episode, you’ll learn: How AI has lowered the barrier to entry for hacking and made “script kiddies” far more dangerous. Why older, more complex organisations - from airlines to the energy grid - are often the least secure. How China and Russia are systematically targeting US and Western critical infrastructure. What really happens on a red‑team engagement inside large, well‑funded companies. Where AI actually helps defenders today - and why fully autonomous cybersecurity is still mostly marketing. How Peyton is using large language models to automate proactive security without taking humans out of the loop. Advice for founders trying to build high‑signal security products in an AI‑noisy market. Timestamps: 00:00 The Evolving Landscape of Cybersecurity 04:56 Geopolitical Implications in Cyber Warfare 09:56 Proactive vs Reactive Cybersecurity Strategies 15:02 The Role of AI in Cybersecurity 20:00 Building a Better Cybersecurity Product 24:53 Navigating the Cybersecurity Market 30:12 The Future of Cybersecurity and AI Book mentioned: The Hard Thing About Hard Things, by Ben Horowitz Listen if you work in tech, security, or you’re just trying to understand how AI is reshaping the offence-defence balance in cyberspace. Video version: https://www.youtube.com/@InsideTheSiliconMind Website: https://insidethesiliconmind.com/ Follow & Subscribe: Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Don’t forget to subscribe to the podcast for more conversations with founders, operators, and investors shaping the future of technology. #ai #CyberSecurity #Hacking #CriticalInfrastructure #InsideTheSiliconMind
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The Most Overlooked Change in Healthcare Is Coming
Apr 2100:24:47Tap to summarizeIn this conversation, Neil Patel breaks down how AI is quietly transforming healthcare delivery, improving workflows, reducing administrative waste, and changing the future of work in healthcare. We explore what this means for doctors, patients, families, and the broader healthcare system. We cover: AI in healthcare and how it is reshaping care delivery The future of work in healthcare and what it means for clinicians How AI can reduce administrative waste and improve efficiency Why the future of healthcare may move more toward the home How better systems could improve access, quality, and consistency What this means for healthcare strategy, innovation, and adoption Neil also shares why he believes AI could help raise the quality of care, reduce variation across providers, and unlock a more accessible healthcare system for more people.. Key moments: 00:00 The state of healthcare access 12:06 How AI can transform healthcare 15:31 The future of patient care with AI 18:00 Investing in healthcare innovation 20:11 Building the future of healthcare AI 22:06 The hospital of the future Book recommendation: Sapiens: A Brief History of Humankind, by Yuval Noah Harari Video version: https://www.youtube.com/@InsideTheSiliconMind Website: https://insidethesiliconmind.com/ Follow & Subscribe: Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/ Don’t forget to subscribe to the podcast for more conversations with founders, operators, and investors shaping the future of technology.
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