▲ | eric-burel 3 days ago | |||||||
Talk to engineers, they just fear research papers. It's important to have alternate ways of consuming research. Then maybe some engineers will jump the fence and start taking the habit of reading papers. | ||||||||
▲ | backflippinbozo a day ago | parent | next [-] | |||||||
AI & ML engineering in particular is very research-adjacent. That's why we began building agents to source ideas from the arXiv and implement the core-methods from the papers in YOUR target repo months before this publication. We shared the demo video of it in our production system a while back: https://news.ycombinator.com/item?id=45132898 And we're offering a technical deep-dive into how we built it tomorrow at 9am PST with the AG2 team: https://calendar.app.google/3soCpuHupRr96UaF8 We've built up to 1K Docker images over the past couple months which we make public on DockerHub: https://hub.docker.com/u/remyxai And we're close to an integration with arXiv that will have these pre-built images linked to the papers: https://github.com/arXiv/arxiv-browse/pull/908 | ||||||||
▲ | viraptor 3 days ago | parent | prev | next [-] | |||||||
A lot of them are using obscure vocabulary and sciency notation to express very basic ideas. It's like some switch comes on "this is a PAPER it needs fancy words!" I'd actually like a change from the other end. Instead of "make agents so good they can implement complex papers", how any "write paper so plainly that current agents can implement reproduction"? | ||||||||
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▲ | 3 days ago | parent | prev [-] | |||||||
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