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Alex Komoroske

Alex Komoroske

@alex-komoroske · 11 positions · On ppll ↗

American technologist; former head of corporate strategy at Stripe and product leader at Google, co-founder and CEO of Common Fabric, and writer of the weekly Bits and Bobs notes.

Alex Komoroske did not write this page.

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  1. Netscape originally thought they'd be the next Windows. But the web was a fundamentally different kind of thing that enabled all sorts of newness -- think: publishing a page for anyone in the world to read. AI will be the same.

    ↗@komorama.bsky.social on Blueskybsky.app

  2. 1 day earlier
  3. Little, helpful utilities are still dangerous. For example, a wordcount utility or file converter. You just hope the person who created the software won't misuse your data. You have to implicitly trust every piece of software you use, even for mundane tasks.

    ↗@komorama.bsky.social on Blueskybsky.app

  4. 1 day earlier
  5. AI makes infinite software possible: if you want something to be different, you simply ask. Would you like your grocery list to be sorted by aisle? Ask. For programmers, that’s a massive reduction in friction. For non-programmers, it’s a revelation.

    ↗@komorama.bsky.social on Blueskybsky.app

  6. 2 days earlier
  7. It’s established that AI can do a lot of useful stuff for you… but only if it has the right data. The limiting factor is not how good the AI is, it’s trusting it enough to give it all the data it needs.

    ↗@komorama.bsky.social on Blueskybsky.app

  8. 2 days earlier
  9. AI agents

    It doesn’t matter if you wouldn’t be fooled, if your agent would be. Your agent will very helpfully read every word (including hidden text) and has no reliable way to differentiate between information and instructions.

    ↗@komorama.bsky.social on Blueskybsky.app

  10. 5 days earlier
  11. Is an agent just an extension of you and working under your direct supervision? Or can it take speculative actions on behalf of you? The latter is required to make it 1000x more powerful. But that requires a trust model where autonomous action is safe.

    ↗@komorama.bsky.social on Blueskybsky.app

  12. 3 days earlier
  13. We use “auth” to mean both authentication and authorization. That works when most actors are humans, who are embodied and can be held accountable. Agents break this norm. The difference will start becoming extremely important.

    ↗@komorama.bsky.social on Blueskybsky.app

  14. 2 days earlier
  15. open source

    All software is effectively open source now. Agents can decompile and do a clean-room implementation of almost anything. What would have been a gargantuan undertaking is now a hobbyist’s afternoon. Software is no longer scarce.

    ↗@komorama.bsky.social on Blueskybsky.app

  16. 1 day earlier
  17. physics

    Imagine if your agents were talking with all of your LinkedIn contacts to see if it might make sense to meet. Private information about your schedule and priorities would be sloshing all over the place. For net new AI use cases, we need a new physics of trust.

    ↗@komorama.bsky.social on Blueskybsky.app

  18. 3 weeks earlier
  19. The default architecture for multi-user agentic software today is for everyone's agents to talk. You're effectively letting everyone you interact with prompt inject your agent. That's a high trust bar to clear for collaborators!

    ↗@komorama.bsky.social on Blueskybsky.app

  20. 5 days earlier
  21. AI is as useful as the context it can see & tools it can use. Two bad options: agents too siloed to be helpful or agents you trust with reckless abandon. This dilemma is an artifact of a security paradigm from the 90s. I think it’s overdue for an update.

    ↗@komorama.bsky.social on Blueskybsky.app