Anthropic

Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next

Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next

Boris Cherny, creator of Claude Code, discusses the future of software development at AI Ascent 2026. He argues that coding is effectively a solved problem, detailing his personal workflow of shipping dozens of PRs daily from his phone. Cherny explores the shift from typeahead to autonomous agents, the rise of cross-disciplinary generalist teams, and uses the printing press as an analogy for the coming democratization of software creation for all.

Apple’s new CEO & how AI understands intent

Apple’s new CEO & how AI understands intent

Experts analyze Apple's AI future under new hardware-focused CEO John Ternus, the strategic implications of Anthropic's deep partnership with AWS for custom AI chips, the evolving landscape of customer intent in an era of AI agents, and the ironic security leak of the powerful Claude Mythos model.

How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)

How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)

Cat Wu, Head of Product at Anthropic, discusses the radical shift in product development velocity, where shipping cadences have moved from months to days. She details the emerging skills required for AI PMs, emphasizing product taste, rapid iteration, and the importance of building for current, not future, model capabilities. Wu also explores Anthropic's unique mission-driven culture and provides practical advice for leveraging tools like Claude Code and Cowork to automate work and thrive in the AI era.

Jensen Huang – Will Nvidia’s moat persist?

Jensen Huang – Will Nvidia’s moat persist?

Nvidia CEO Jensen Huang discusses the company's core strategy, which he defines as transforming electrons into tokens by orchestrating a vast supply chain. He details how Nvidia's true moat lies in its ecosystem and its ability to manage supply bottlenecks. Huang contrasts Nvidia's versatile 'accelerated computing' platform with competitors like TPUs, arguing programmability via CUDA is key to AI innovation. He also presents a strong case against broad AI chip export controls on China, warning it could backfire by forcing the creation of a competing tech stack. Finally, he explains why Nvidia invests in the ecosystem rather than becoming a hyperscaler itself.

The Department of War is making a huge mistake.

The Department of War is making a huge mistake.

An analysis of the conflict between Anthropic and the US Department of War, exploring its implications for AI alignment, regulation, and the future of mass surveillance. The author argues that while Anthropic's stance is commendable, the structural nature of AI favors authoritarianism, making societal norms and specific laws—not broad regulatory bodies—the only viable defense for a free society.

Boris Cherny: How We Built Claude Code

Boris Cherny: How We Built Claude Code

Boris Cherny, creator of Claude Code, shares the development philosophy behind the AI coding tool, emphasizing building for future models, leveraging latent user demand, and the surprising longevity of the terminal interface.