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Mira Murati: Designing a new AI research organization
Mira Murati’s Thinking Machines Lab puts customisation and understanding at the centre of its stated mission. The organisational design is part of the…
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Fei-Fei Li: Building toward spatial intelligence
Fei-Fei Li’s World Labs brings the AI conversation toward space, objects and interaction. The company’s ambition reaches beyond generating a flat picture.
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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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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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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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Accuracy tests vs preference tests: measure the right kind of quality
Correctness and preference answer different questions about an AI output.
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Managed cloud vs self-hosting: compare the operational burden
Running the service yourself changes the operational workload; it does not remove it.
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No-code vs code-based AI workflows: choose the right ownership
A visual builder and a codebase move complexity to different places.
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Seat-based vs usage-based AI: compare the cost structure
The pricing unit influences predictability, but the workload determines the bill.
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API access vs a chat subscription: choose the delivery model
An API provides a building block for software; a chat subscription provides an end-user experience.
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Consumer vs enterprise AI plans: compare the operating requirements
An organisation’s operating requirements can matter more than a plan’s headline feature list.
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Chat interfaces vs embedded copilots: meet users inside the work
A separate conversation and an assistant inside an existing application ask users to work in different ways.
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