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Tokens: the units behind every AI conversation
Tokens are the pieces a model processes. They influence context limits, usage measurement and how text is divided.
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Large language models: what they actually learn
A language model learns patterns in data. Understanding that mechanism helps explain both its flexibility and its mistakes.
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AI agents: from a goal to a completed task
An agent connects an AI model to a loop of decisions, tools and feedback. The important question is what it can safely complete.
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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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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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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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Andrew Mason: Rethinking editing through the transcript
Descript founder Andrew Mason’s product starts with a simple reframing: editing media can feel like editing a document.
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Flo Crivello: Building assistants around repeatable business work
Lindy’s Flo Crivello is building in a category where the useful output is a completed business step.
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Chris Pedregal: Designing AI around the meeting notebook
Granola’s Chris Pedregal puts a familiar human habit—the meeting notebook—at the centre of an AI product.
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Sam Liang: Making spoken information easier to use
Otter co-founder Sam Liang’s company story is about making spoken information easier to retain and use.
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Krish Ramineni: Turning meetings into searchable knowledge
Fireflies co-founder Krish Ramineni’s product category turns spoken conversations into information people can revisit.
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Pratyush Kumar: Taking language research toward practical deployment
Pratyush Kumar’s Sarvam chapter illustrates how language research becomes a set of decisions about access, deployment and everyday use.
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