Fun framing. I'd push back a little though — Edison gets flattened into "just commercialized things" a lot, but iterating relentlessly toward something that actually ships is its own hard, undervalued skill, especially in AI right now where it's easy to keep rethinking architecture and never land a working product. Maybe the honest answer is most useful people are Tesla in the idea phase and have to force themselves into Edison mode to finish anything. What does HUQAN's architecture actually change vs. standard agent setups — curious for specifics.
Tesla or Edison?
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Ali Ulu
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@[jacksparrow] That was actually the answer that came to my mind while writing it :))
“Build like Tesla, sell like Edison.” I think it would be great if someone could actually do both, but not everyone can manage both sides — I’m definitely at the top of that list :)).
I’ve been stuck in the “make it better, make it perfect” loop and have been coding for the past three months.
The goal with Huqan is to become secure infrastructure for AI.
If this doesn’t count as spam, I’ll leave the link here in case you’d like to take a look: https://github.com/ali-ulu/huqan
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