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HAI 1.0 The 1.2GB AI that outcodes GPT5
HAI 1.0: 1.2GB local AI. Beats GPT-5 at coding
8 followers
HAI 1.0: 1.2GB local AI. Beats GPT-5 at coding
8 followers
Hey Product Hunt! Meet HAI 1.0: a 1.2GB AI model that outperforms GPT-5 on coding benchmarks while running entirely offline on your laptop. Built with a novel neuro-symbolic architecture, it combines neural pattern recognition with symbolic logic for exceptional software engineering performance. On SWE-bench Lite, HAI 1.0 scored 68.4%, beating much larger models. Open-source, local, private, and subscription-free—try it today! email: hillelilanyfreedman@gmail.com
Curious how it actually holds up on larger codebases beyond benchmark tasks. Does the neuro-symbolic architecture slow down noticeably when working through multi-file refactors, or does the performance stay consistent on real-world projects?
How does the neuro-symbolic setup actually work in practice, like does it need internet to fetch any symbolic components or is the whole 1.2GB truly self-contained for offline use?
finally tried this on my m2 and it actually fills out entire functions offline without choking, pretty wild for something that tiny. curious how it holds up on bigger repos though.