Workday

Taste is your Moat (Dylan Field of Figma)

Oct 2, 2025 · 1:01:43

Dylan Field, CEO of Figma, argues that as AI accelerates software creation, design becomes the key differentiator—and Figma Make, a prompt-to-app tool, is Figma's bet on lowering the barrier for everyone. Field recounts his first AI-pill moment with Chris Olah in 2014 and later GPT-3 convincing him of exponential progress. He explains Figma's strategy: treat natural language as today's interface (calling it the 'MS-DOS era of AI'), use Figma as a 'context repository for aesthetics' to ground AI outputs in a user's taste, and solve the blank-canvas problem by letting AI generate initial designs. Field pushes back on 'fast fashion' software, arguing complex products like Workday can't be vibe-coded. He shares Thiel Fellowship lessons (start with 'what could this be' before finding flaws), recruiting advice from John Doerr (obsess over the funnel), and caution about get-rich-quick AI hype, drawing parallels to the NFT cycle he exited.

How AI is Eating Finance - with Mike Conover of Brightwave

Jun 11, 2024 · 1:05:06

Brightwave founder Mike Conover explains how his vertical AI startup builds a 'partner in thought' for finance professionals, using a systems-of-systems approach that decomposes problems into specialized subsystems rather than relying on large context windows or monolithic agents. He argues that the evolution from DALL-E's 1,024-token context to today's million-token models has not solved synthesis; smaller, focused reasoning units still outperform. Conover emphasizes that the real competitive edge lies in custom training data and human annotation, not pre-training, and that models are converging in capability—so value shifts to fine-tuning data that elicits specific behaviors. He details why Brightwave avoids spreadsheets in favor of conversational analysis, and predicts AI will automate idea generation and second-order derivative bets, but humans must remain the final synthesizers and deciders. The episode also covers hiring for vertical AI, the role of knowledge graphs, and the diminishing economic incentive for companies to train their own foundation models.