Signs of AI Design Slop
Article URL: https://github.com/febbhav/signs-of-ai-design Comments URL: https://news.ycombinator.com/item?id=49063374 Points: 2 # Comments: 1
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Article URL: https://github.com/febbhav/signs-of-ai-design Comments URL: https://news.ycombinator.com/item?id=49063374 Points: 2 # Comments: 1
I Planned 10 LLM Evaluation Experiments And Only Ran 1. It Was Enough. I didn’t set out to write a benchmark paper. I wanted to answer a much dumber, much more practical question: “For the stuff I actually do at work, when do I really need a frontier model… and when am I just burning money?” So I did what engineers do when they want to be serious about this: I designed 10 experiments across real-world agent use cases with a reusable evaluation harness and a budget ceiling so I wouldn’t hate
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This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry. Both of these bugs were already known before I touched them. One had a linked issue and a fix that covered half the cases. The other had a unit test that asserted the crash, with a comment above it saying // Remove when fixed!. They also had the same shape. In both projects the correct behavior already existed elsewhere in the same file: a sibling transformer that handled the input, a sibling branch that reporte
The DeepSeek Leak: Why Infrastructure Secrets Matter More Than Model Weights The artificial intelligence ecosystem was recently rattled by reports that Liang Wenfeng, the low-profile CEO of DeepSeek, was deeply unsettled by an internal leak. To the casual observer, panic from the leader of an "open-weights" pioneer over leaked information seems paradoxical. If a company’s business model is built on releasing state-of-the-art models like DeepSeek-V3 and R1 to the public, what secrets are left t
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