When 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

When 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

When 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