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    Elvis Saravia Tries Viktor AI for Paper Triage

    AI researcher Elvis Saravia tests Viktor AI employee inside Slack to triage weekly agent papers.

    EL
    3 Sources, 26d ago, first seen 26d ago

    TLDR

    Elvis Saravia, who reads AI papers professionally and runs a weekly digest of top agent papers, posted that tracking insights had grown impossible. A few weeks earlier he added the Viktor AI employee to the Slack channel used for that triage work. He asked the tool to process the week's agent papers. The post includes a split-screen screenshot graphic. No further outcomes or results appear in the supplied evidence.

    Combined views

    10.9K

    3 Sources, first seen 26d ago

    Combined views

    10.9K

    3 Sources, first seen 26d ago

    38 likes
    38 likes
    7 comments
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    23 reposts

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    7 comments
    33 saves
    23 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    3 Sources

    @omarsar0I read AI papers for a living, but it has become impossible to track insights. Every week I triage agent papers for our Top AI Papers of the Week digest. A few weeks ago, I tried @viktor_com, an AI employee that works inside Slack, in the channel where that triage happens. I asked it to go through the week's agent papers and pull three worth reading. It sent the list back that same morning. On day 19, it posted in the channel without being asked. "Six more landed overnight. One of them contradicts the routing section in module 4." Two days later, again without me, it drafted the correction and left it unpublished. 2,100 people are on that module. Everything it did came back as a proposal for me to approve. That is why I kept it running. Finding new papers is easy. Knowing when one of them breaks something is much harder - in my case, the course lessons I teach. If you run agents for weeks at a time, look closely at how the approval trail works. Happy to go deeper on this one.

    3 Sources

    @omarsar0I read AI papers for a living, but it has become impossible to track insights. Every week I triage agent papers for our Top AI Papers of the Week digest. A few weeks ago, I tried @viktor_com, an AI employee that works inside Slack, in the channel where that triage happens. I asked it to go through the week's agent papers and pull three worth reading. It sent the list back that same morning. On day 19, it posted in the channel without being asked. "Six more landed overnight. One of them contradicts the routing section in module 4." Two days later, again without me, it drafted the correction and left it unpublished. 2,100 people are on that module. Everything it did came back as a proposal for me to approve. That is why I kept it running. Finding new papers is easy. Knowing when one of them breaks something is much harder - in my case, the course lessons I teach. If you run agents for weeks at a time, look closely at how the approval trail works. Happy to go deeper on this one.