Anton emphasizes that talent—not capital—is the true bottleneck in AI startups, prioritizing extreme performers over traditional credentials. Lovable’s rapid $120M ARR growth stems from empowering developers with AI tools that accelerate iteration. While defensibility remains elusive, the focus stays on product indispensability and user retention. Unit economics are improving through strategic token use and funnel optimization, not premature model ownership. GPT-5 shows power but lacks practicality compared to more reliable models like Anthropic's. AI is democratizing development, reducing reliance on tools like Figma and enabling non-engineers to build. Security and personalization are critical yet underdiscussed challenges. Traditional computer science education is losing relevance as AI transforms coding roles into strategic translation. Lovable fosters a 10x culture rooted in humility and teamwork, aiming to become the primary human-AI interface by 2030, competing not just with OpenAI or Anthropic, but with the future of how software is made.