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Simon Willison

AI blogger known for his analysis and criticism of the AI space. His blog is a go-to resource for many in the field.

Top 3 podcasts with Simon Willison

Ranked by the Snipd community
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417 snips
Jan 12, 2025 • 1h 13min

[Ride Home] Simon Willison: Things we learned about LLMs in 2024

Simon Willison, a leading AI blogger, and Swyx, an AI expert, share insights on the evolving landscape of AI in 2025. They discuss exciting advancements in large language models, focusing on cost efficiency and competition challenges. The duo tackles the skepticism around AI agents, emphasizing their limitations and potential applications in various industries. They also dive into the role of AI influencers and the need for credibility in AI-generated content. Finally, they explore the future of AI interfaces and the rising interest in local LLMs and wearable technologies.
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62 snips
Jan 11, 2025 • 1h 16min

(BNS) Simon Willison And SWYX Tell Us Where AI Is In 2025

Simon Willison, a thought leader in AI, joins SWYX, an AI specialist, to delve into the future of artificial intelligence as we approach 2025. They discuss the evolution of AI models and the challenges surrounding AI agents, such as reliability and misinformation. The rise of AI influencers and the necessity for human oversight are highlighted, alongside innovations in creative industries. They explore the future of user interfaces, local LLMs, and the integration of AI in everyday life, emphasizing the importance of thoughtful regulation and the exciting developments in AI wearables.
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19 snips
Dec 1, 2024 • 55min

Simon Willison: The Future of Open Source and AI

Simon Willison, a software developer renowned for his contributions to Django and Dataset, dives into the compelling interplay of AI, open source, and journalism. He discusses how open-source tools like Dataset are revolutionizing data journalism and democratizing access to data analysis. Simon emphasizes AI's role in enhancing human capabilities rather than replacing them, while addressing concerns about the future of artificial general intelligence. He also explores the transformation of programming with large language models and their potential to support new developers.