Evolution of Language Models - Every LLM Breakthrough Was Just a Bug Fix
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Nobody sat down in 2017 and designed the Transformer from first principles. What actually happened is messier and much more interesting: someone built a thing, it broke in a specific and annoying way, someone else patched the break, and that patch broke somewhere new. Twenty years of this and you get ChatGPT. Which means the history of language models reads less like a research timeline and more like a changelog. So let's read it that way. Upfront: I'm learning this stuff, not teaching it from…
1Key Takeaways
- Nobody sat down in 2017 and designed the Transformer from first principles.
- What actually happened is messier and much more interesting: someone built a thing, it broke in a specific and annoying way, someone else patched the break, and that patch broke somewhere new.
- Twenty years of this and you get ChatGPT.
- Which means the history of language models reads less like a research timeline and more like a changelog.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that nobody sat down in 2017 and designed the Transformer from first principles.
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