alt Hacker News"seems a lot of folks here didn't grok the very terribly written README"
I tried to make it through the README and it was just unmotivated slop. Perhaps it reads better to agents. It is like the Van Halen rider story - if the authors didn't care to write a good README, what are the odds that they paid attention to the rest of the large codebase?
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gavinray • today at 5:00 PM
I had to go digging into the source to realize what it was, e.g.
https://github.com/NVIDIA/auto-ontology/blob/main/auto_ontol...
I ended up throwing the README at an LLM and it gave me a much simpler and clearer explanation. Copying the bits of an explanation that helped me:
> The problem it’s trying to solve is that generating valid SQL doesn’t necessarily produce the right answer. An AI might find a column called revenue, but still choose the wrong dataset or misunderstand whether that figure includes things like refunds. Auto Ontology adds information about what the data means to help it make those decisions.
and then the one paragraph summary at the end:
> My reading: it’s a database chat application built around a reusable catalogue of business meaning. The question worth testing is whether that catalogue makes answers measurably more correct—and how much human work it takes to get the definitions right.