Personal agents have different requirements from frontier benchmarks
John Coogan argues that a personal AI agent does not need to solve a Millennium Prize math problem or secure enterprise infrastructure.
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原始摘录
it actually doesn't matter because no one needs their personal AI agent to solve a Millennium Prize math problem or secure their enterprise infrastructure from cyberattacks. Like that's not a requirement.
John Coogan sees Meta’s advertising business as aligned with personal agent use cases and discusses brands sponsoring agent workflows.
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they of course already have a business model that's heavily aligned with this type of use case advertising. We've talked about this idea that brands would love to sponsor agentic workflows.
John Coogan sees energy and community support around Instinct, while saying the product still has rough edges that Amazon is well placed to address.
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But Instinct is clearly like tapped into something really special with like the energy and the support that they have and the community they've built. But there are a lot of like little little rough edges that need to get sanded off and like that's the domain of Amazon in my opinion.
John Coogan says he does not want an agent for each app and considers whether one agent coordinating the others might be the future.
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I don't I know I don't want an agent for each app, which does sound very annoying. Super agent go and use all the other agents. Maybe that's the future.
John Coogan notes that several businesses could benefit from one agent workflow, using a movie, ticketing service, and theater as examples.
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when you're in these agentic workflows, there's often, like, multiple beneficiaries. So Spider Man benefits, but also Fandango might benefit, but also, like, a particular theater might benefit
nafyi.
