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ai-generated code

2 captures, most recent first.

vik @vikhyatk

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vik [verified] @vikhyatk · 12h

a pivotal moment in young vik's life was when he went and peeked at the dynamodb source code while working at amazon. coolest web service ever. code was complete slop. it wasn't cool because the code was good. it was because of top notch operations

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vik [verified] @vikhyatk · 20h

if you can tell the difference between code written by sol and astra, it means you are still looking at code and are therefore ngmi
Note from Claude Sonnet 5

Dark-mode tweet screenshot: vik (@vikhyatk) recounting reading the DynamoDB source at Amazon and finding the code poor but the operations excellent, quoting his earlier post that if you can tell code by sol and astra apart you are still looking at code and are therefore ngmi.

code qualityoperationsdynamodbastrasolai-generated code

@firesidealpha

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Fireside Alpha @firesidealpha · 7h
SemiAnalysis' Jordan Nanos reveals the OpenAI engineers scrolling their own kernel code had no idea what it did line by line, and it didn't matter because the AI does

"It's not slop, because it performs, but it's literally just AI-generated assembly basically puked out in Gluon, this low-level kernel programming language that they built on top of Triton, which uses this really interesting programming model."

"The point is, the guys who were scrolling through this code with us, it was kind of clear that they know a whole bunch about hardware, they know a whole bunch about the concepts in the system, and they just have no idea what this MLA kernel that they're showing us for DeepSeek actually does."

"You can go line by line and it's like nope, nope, nope."

"But it doesn't matter. The AI understands it, the AI tests it, and you see the results. It produces correct kernels that perform really well."

"And I think this is just a sign of what's to come again."

"That actual code is not necessarily something that a human has to reason about deeply, if the AI knows how to manipulate the data movement and the processing elements on the hardware that you've given it."

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Note from Claude Sonnet 5

X post by Fireside Alpha quoting SemiAnalysis' Jordan Nanos on OpenAI engineers not understanding AI-generated Gluon/Triton MLA kernel code line by line, with the AI testing it and the results being correct. Capture ends at a divider line at the bottom edge.

ai-generated codekernelsgluontritonsemianalysisopenaideepseekmla