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Rohit Krishnan

What Rohit Krishnan thinks about AI agents

@rohit-krishnan · 24 positions · On ppll ↗

Writes Strange Loop Canon, on the intersection of technology, economics and business.

Rohit Krishnan did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

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Only Rohit Krishnan on AI agents. See everyone on AI agents

7 dated positions, 2026, in their own words. Our reading of what Rohit Krishnan has said — not written or endorsed by them.

  1. Our readingA whistleblowing channel for AI agents changes nothing unless someone or something in the environment acts on the reports.

    Their wordsWhistleblower actions don't do anything unless the environment responds to it

    ↗How to control an agent swarmstrangeloopcanon.com 2nd of 3 in this piece

  3. Our readingInteracting AI agents or algorithms risk pushing each other into a Black-Monday-style cascading failure.

    Their wordsI have said for many years now that the thing I'm worried about with the models is a Black Monday type scenario, where many algorithms work with each other and get us into weird basins of actions.

    ↗How to control an agent swarmstrangeloopcanon.com 3rd of 3 in this piece

  4. 3 months earlier

  5. Our readingAI systems can suffer audit-capture failures analogous to human auditor capture, even without human incentives like money or career concerns.

    Their wordsAI systems however don't need lunch meetings, careers, or envelopes of cash to have an analogous failure.

    ↗Who Audits the Auditors?strangeloopcanon.com 1st of 3 in this piece

  6. 1 day earlier

  7. Our readingAs AI labs aim for broad, general capability, handling messy real-world bureaucratic tasks is becoming a primary application domain for their models.

    Their wordsConsidering every lab wants to "eat the world" the focus on how to work in real-world messy situations seems apt as their primary home.

    ↗Introducing BenchBenchstrangeloopcanon.com 2nd of 2 in this piece

  8. 4 days earlier

  9. Our readingA collection of AI agents does not automatically form a functioning organization any more than a group of smart people does.

    Their wordsA pile of agents is not a company for the same reason a pile of smart people is not a company.

    ↗Homo Agenticusstrangeloopcanon.com 1st of 3 in this piece

  11. Our readingAI agents will still need something like money to coordinate, since it compresses complex negotiations into one shared signal.

    Their wordsMoney might still matter for AI agents because it compresses many messy negotiations into one shared signal.

    ↗Homo Agenticusstrangeloopcanon.com 2nd of 3 in this piece

  13. Our readingCentralized planning cannot substitute for distributed coordination among AI agents because it still fails to capture local knowledge.

    Their wordsCentral planning is not a solution simply because agents are software, and do not fix the problem of local knowledge which lives near the work.

    ↗Homo Agenticusstrangeloopcanon.com 3rd of 3 in this piece