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    A two-question framework for deciding what work AI agents can take on

    An interviewer says Salesforce Futures VP Mick Costigan’s framework asks about available training data and whether results can be verified.

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    3 Sources, 1h ago, first seen 1h ago

    TLDR

    An interviewer cautions that an AI agent can sound convincing while getting a job wrong. At Salesforce Dreamforce, they discussed Mick Costigan’s framework for judging what work agents can take on: How much training data is available, and can the result be verified? The interviewer says the conversation also covered entry-level jobs, education, personal AI assistants and Slack as a place for humans and agents to work together.

    Combined views

    12.4K

    3 Sources, first seen 1h ago

    Combined views

    12.4K

    3 Sources, first seen 1h ago

    64 likes
    64 likes
    19 comments
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    19 comments
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    2 reposts
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    3 Sources

    @kimmonismusAn AI agent can sound convincing and still get the job wrong. At Salesforce Dreamforce, Peter and I asked Mick Costigan, VP of Salesforce Futures, which parts of work agents can actually take on. His framework starts with two questions: How much training data is available, and can you verify the result? We discussed what that means for entry-level jobs, education, personal AI assistants and Slack as a place where humans and agents work together. This was super cool to conduct! Have fun watching!1h

    3 Sources

    @kimmonismusAn AI agent can sound convincing and still get the job wrong. At Salesforce Dreamforce, Peter and I asked Mick Costigan, VP of Salesforce Futures, which parts of work agents can actually take on. His framework starts with two questions: How much training data is available, and can you verify the result? We discussed what that means for entry-level jobs, education, personal AI assistants and Slack as a place where humans and agents work together. This was super cool to conduct! Have fun watching!1h