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Paul Ford

Co-founder of Aboard and prolific technology writer known for essays like "What Is Code?", with expertise in software, product, and applying AI to build products.

Top 3 podcasts with Paul Ford

Ranked by the Snipd community
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1,433 snips
Dec 3, 2025 • 1h 25min

Why Opus 4.5 Just Became the Most Influential AI Model

In this discussion, Paul Ford, co-founder of Aboard and a celebrated tech writer, dives deep into the groundbreaking capabilities of Opus 4.5. He shares how this AI model enables autonomous coding and dramatically speeds up app development. Paul reflects on the emotional impact of such rapid technological change, urging careful consideration of its effects on roles and craftsmanship. The conversation also explores societal reactions, the importance of transparency, and the future of consulting as AI reshapes industries.
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18 snips
Nov 14, 2025 • 23min

Is the AI bubble about to pop?

Paul Ford, co-founder of Aboard, shares insights on the potential AI bubble. He discusses how a few companies dominate market value, fueling excessive hype. Warning signs like froth and historical tech patterns signal concern. Ford also highlights the implications of cheaper Chinese AI models and Michael Burry's short bet on overheating valuations. Exploring job risks, he relates automation impacts to policy unpreparedness. Ultimately, Ford envisions a future where AI becomes a normalized tool, moving past the current hype.
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Oct 29, 2025 • 1h 13min

Paul Ford Eases Steve's Real Panic About Artificial Intelligence

Join technology writer Paul Ford, a former digital advisor for the Obama White House and co-founder of AI startup Aboard, as he dives into the complexities of artificial intelligence. He breaks down large language models, comparing them to compressed JPEGs, and discusses how AI processes human knowledge. Ford raises important concerns about bias, malicious data usage, and user dependency on AI. Yet, he remains optimistic about AI's potential to empower individuals with practical tools while stressing the need for societal adaptation and verification of AI outputs.

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