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Gergely Orosz

What Gergely Orosz thinks about LLMs

@gergely-orosz · 98 positions · 1 change of mind · On ppll ↗

Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.

Gergely Orosz 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.

11 dated positions, 2026, in their own words. Our reading of what Gergely Orosz has said — not written or endorsed by them.

  1. even “artificial intelligence” was a stretch given LLMs are probability distributions and do not meet our common understanding of “intelligence.”

    ↗@GergelyOrosz on Xx.com

  2. Hallucination is a feature not a bug; generating the next token and the next also.

    ↗@GergelyOrosz on Xx.com

  3. Like it or not, modern sw engineering is no longer done without LLMs (AI) and will no longer be done without.

    ↗@GergelyOrosz on Xx.com

  4. 6 days earlier
  5. An LLM is as conscious as my screwdriver, lawn mower or smartphone is - all tools we build to do X or Y.

    ↗@GergelyOrosz on Xx.com

  6. 1 day earlier
  7. LLM bots are talking in my replies, this site is having a real problem blocking these accounts.

    ↗@GergelyOrosz on Xx.com

  8. 13 days earlier
  9. having the very best AI model and harness doesn’t result in better/faster execution - in fact it slows you

    ↗@GergelyOrosz on Xx.com

  10. 9 days earlier
  11. To answer the question posed in the header of this report, it’s apparent that using open models is indeed the approach offering the biggest savings, followed by smart model routing. Spending controls and context optimization also bear down on costs, but they don’t come close to the first two techniques in results.

    ↗The Pulse: tech companies move to open AI modelsblog.pragmaticengineer.com

  12. 1 day earlier
  13. the largest tech companies (at the top 1%) aren't using fewer tokens, they're just being cost conscious and moving to cheaper, still very capable open models running vs SOTA model usage

    ↗@GergelyOrosz on Xx.com

  14. 1 day earlier
  15. the existing ones were more than good enough, and I'm learning how much to trust those existing ones... and already they do more than I can utilize them (for writing code)

    ↗@GergelyOrosz on Xx.com

  16. 1 day earlier
  17. This is, by the way, also why the category of “an AI trained on person X” is absolutely BS. People change their minds in light of new information, the “AI trained on X’s writing/videos/tweets” does not

    ↗@GergelyOrosz on Xx.com

  18. 6 days earlier
  19. writing

    Writing is thinking, and we are interested in your own thoughts and observations, not a sharp, one-sentence observation turned into three paragraphs of blob text by an LLM.

    ↗How software engineering is changing: an essay challengeblog.pragmaticengineer.com