korrents

What Steve Yegge thinks about scaling laws

@steve-yegge · 25 positions · 0 changes of mind

Software engineer of four decades who spent years at Amazon and Google, wrote the Stevey's Blog Rants essays, and co-authored the book Vibe Coding with Gene Kim.

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Steve Yegge 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.

2 dated positions, 2026, in their own words. Our reading of what Steve Yegge has said — not written or endorsed by them.

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  1. Our readingBigger is smarter, always: bringing your special domain knowledge to the model is the wrong side of the bitter lesson.

    Their wordsThe bitter lesson is don't try to be smarter than the AI, okay? You think that you've got special knowledge. The humans bring special domain knowledge to this problem and we're going to teach it something to AI and it will be smarter. What we found was bigger is smarter. Always.

    ↗From IDEs to AI Agents with Steve Yeggeyoutube.com 21st of 25 in this recording

  3. Our readingThe scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed.

    Their wordsBut, I can tell you that there are at least two more cycles left in this, and that means they will be at least 16 times smarter than they are today, and that is going to cause all of knowledge work to be subsumed by this stuff.

    ↗From IDEs to AI Agents with Steve Yeggeyoutube.com 22nd of 25 in this recording