Open Source Is Dead. Long Live Open Source. — Saoud Rizwan, Cline
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- youtube.com
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- AI Engineer
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Context
A coding model's cost is more useful when paired with evidence that its changes work. Cline's presentation describes testing GLM and Opus on a single bug in its own repository. According to that account, GLM consumed double the but cost half as much, cleared out unused code and checked that compilation succeeded. Opus completed the task sooner and made fewer tool calls, yet its changes introduced type errors that prevented a production build.
The example supports judging the completed change alongside speed and model usage. It does not establish a general model ranking, but it explains the talk's economic argument for : an alternative can be valuable when the surrounding development workflow checks its output and the resulting work meets the project's requirements.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
- open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
“GitHub is effectively an archive of SLOP PRs and issues and security reports.”
Saoud Rizwan
“When I say that open source is dead, I mean some parts of it—like the community—it's just not worth cultivating anymore.”
Saoud Rizwan
“They're essentially going to subsidize this until they have as many engineers dependent on their tooling as possible... and then inevitably the price gouging.”
Saoud Rizwan
“Before we know it, all this infrastructure that we're investing in could be built on foreign models that take the world by a storm.”
Saoud Rizwan
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