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Nvidia – open-source auto-ontology

75 points • by campervans • today at 7:04 AM • 16 comments • view on HN

Comments

dstu • today at 10:12 AM

This may well be very useful, but Claude has ruined me and I have a visceral reaction to ‘gates’ in the opening sentence and couldn’t get any further. If a tool is worth building and sharing, surely it’s also worth writing a brief summary of what it’s supposed to achieve in your own words?

grey-area • today at 8:14 AM

Fixing unreliable agents by adding more unreliable agents. It's a shame we can't do something about the tendency of LLMs to give more weight to their weights than to the data they're analysing.

I guess it all comes back to the fact that they don't have a clear division between data they have learned about the world, instructions and data under analysis.

You can ask them only to consider the 5 facts in front of them, but they won't do that, and cannot do that.

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mirekrusin • today at 9:57 AM

I still prefer my own, simple and more functional CAVE lang [0]

[0] https://mirekrusin.com/cave

podocarp • today at 8:33 AM

I don't understand this ontology thing. What's the difference between this and a memory system plus skills to collect your enterprise's APIs and CLIs etc?

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igleria • today at 9:40 AM

Was interested... but then realized it needs an NVIDIA api key?

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einpoklum • today at 10:01 AM

Open Source?

How about we start by open-sourcing the NVIDIA user-space libraries: libcuda, libcudart, libOpenCL, libnvtx, as well as nvidia-smi and the CUDA and OpenCL profilers.

bbor • today at 9:53 AM

The readme seems to be written for enterprise project managers. Does anyone know what philosophy or academic ontology work this ties to, if any? I’m having trouble understanding the specifics, I’ll be honest…

happybox2016 • today at 10:01 AM

[flagged]

franzramadhan • today at 9:31 AM

[flagged]

campervans • today at 7:04 AM

Game changer for entreprise (technical) debt