The article discusses strategies for scaling an AI-native company, focusing on the unique challenges and opportunities that arise in the AI landscape. It emphasizes the importance of building a robust infrastructure, fostering a culture of innovation, and leveraging data effectively to drive growth. Additionally, it explores the need for adaptability in a rapidly changing technological environment.

Cohere's ex-AI research lead challenges the conventional wisdom of scaling AI models, arguing that bigger isn't always better for advancing AI technology. They advocate for a more thoughtful approach to AI development that prioritizes efficiency and innovation over sheer scale. This perspective could reshape how companies approach AI research and development strategies moving forward.

Base aims to build a global onchain economy by scaling its gas target to 250 Mgas/s by 2025, significantly reducing gas fees. In Q1, it achieved 25 Mgas/s, with plans to reach 50 Mgas/s by the end of Q2. The article outlines progress on scaling bottlenecks, including improvements from the upcoming Pectra hard fork and advancements in client execution speed and fault proof systems.

The article discusses the challenges and opportunities faced by founders and investors in scaling deep tech companies. It highlights the importance of innovative funding strategies and collaboration among stakeholders to drive growth in this specialized sector. Insights from industry leaders emphasize the need for adaptability and strategic partnerships in navigating the complexities of deep tech development.

The article discusses the journey of building and scaling a product at Linear, emphasizing the importance of a thoughtful approach to development and user feedback. It highlights key lessons learned and the challenges faced during the growth process, showcasing the company's commitment to continuous improvement and innovation.