
Simon Last
Co-founder of Notion. Known for his contributions to tools for thought and visual programming languages.
Top 3 podcasts with Simon Last
Ranked by the Snipd community

76 snips
Nov 26, 2024 • 53min
Building Notion AI: Lessons Learned and Myths Busted with Simon Last, Notion Co-Founder and CTO
Simon Last, co-founder and CTO of Notion, shares his journey of integrating AI into productivity tools. He discusses the challenges of AI-driven features like the Writing Assistant and intelligent Q&A chatbot. Listeners will learn about the agile 'tiger team' approach that enables continuous improvement and the importance of user trust in AI outputs. Simon highlights innovative evaluation strategies and the significance of metadata for enhancing user engagement. This engaging conversation showcases how Notion aims to automate routine tasks while refining knowledge work.

68 snips
Mar 20, 2024 • 50min
First Block: Interview with Ivan Zhao and Simon Last, Co-Founders of Notion
Ivan Zhao and Simon Last, co-founders of Notion, share their intriguing journey of building a productivity tool from scratch. They discuss the delicate balance between product readiness and marketing strategies during the early days. The duo highlights the nurturing of a passionate company culture and the importance of user feedback. They also dive into the transformative impact of AI on tech, emphasizing curiosity and adaptability. Expect personal anecdotes that uncover entrepreneurial challenges and their vision for the future.

Dec 10, 2024 • 51min
AI Evaluation and Testing: How to Know When Your Product Works (or Doesn’t)
Des Traynor, founder of Intercom, shares insights on how generative AI is reshaping product development. Rishabh Mehrotra from Sourcegraph emphasizes the need for robust evaluation processes over mere model training. Tamar Yehoshua, President of Glean, discusses the challenges of using large language models in sensitive data environments. Simon Last, co-founder of Notion, highlights the importance of continuous improvement and iterative development. Together, they provide a captivating look at ensuring AI products are effective and reliable.