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Cristóbal Valenzuela: Bringing machine learning into creative production
Cristóbal Valenzuela’s Runway brings machine learning into creative production. The useful lens is the entire production sequence, from concept to edit.
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Niki Parmar: Connecting foundational research and enterprise tools
Niki Parmar’s research and co-founder history provides a lens on the transition from general methods to specific enterprise problems.
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Mikey Shulman: Making music creation more accessible
Suno co-founder Mikey Shulman’s company turns a short musical idea into an unusually immediate creative interaction.
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Sam Altman: Building a platform around general-purpose AI
Sam Altman’s OpenAI story connects the formation of a research institution with the demands of a general-purpose AI platform.
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Amit Jain: Working toward a richer understanding of the visual world
Amit Jain’s Luma work connects visual generation with a broader interest in representing the world. The product story is about usable control as…
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David Luan: Building toward AI that works with software
Adept’s founding ambition put software actions, rather than conversational answers alone, at the centre of an AI product.
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Jonathan Ross: Designing infrastructure around AI inference
Groq founder Jonathan Ross’s company story puts attention on the infrastructure that delivers a model’s answers.
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Dario Amodei: Turning research priorities into an AI company
Dario Amodei’s role at Anthropic highlights a central AI-company challenge: translating research priorities into a product people can use.
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Demi Guo: Making video generation a creative interface
Demi Guo’s Pika brings video generation into an accessible creative interface. The wider product now reaches beyond a single clip-making tool.
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Noam Shazeer: Designing conversational AI as an experience
Character.AI’s founding story shows how model capability can become a distinct conversational experience.
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Andrew Feldman: Rethinking the hardware used to train AI
Cerebras co-founder Andrew Feldman’s company challenges assumptions about the physical scale of AI computing hardware.
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Demis Hassabis: Connecting scientific ambition and machine learning
Demis Hassabis’s DeepMind work shows how a broad AI research programme can produce tools with consequences beyond software.
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Founders
The people behind the products. Source-based profiles of the ideas, choices and businesses shaping AI.