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"Breakthrough research" can be defined (in the citation record) as research that both (1) becomes highly cited, and (2) brings together citation chains that wer
by patcon 2mo ago
"Breakthrough research" can be defined (in the citation record) as research that both (1) becomes highly cited, and (2) brings together citation chains that were previously not showing up together.
Mundane incremental research is cobbled from existing citations that already appear nearby in the record.
Basically, innovative research is a measure of bridging thought and domains that were previously not bridged. It's quite concrete as a measure in the citation record.
So we can know pretty conclusively.
Puja Ohlhaver gave a talk on this[1], and ran some experiments (that I had the pleasure to support on)
[1]: https://www.youtube.com/watch?v=guLDNMAOn24 https://www.youtube.com/watch?v=guLDNMAOn24
- casey2 2mo agoBreakthrough math research is very rarely highly cited. Maybe some combination of pretraining scale, inference speed and orchestration will help, but it's telling that OpenAI is solving random math research problems rather than bedrock algorithms and their implementation. Even as cool as the tech is, there still is very much a clock that they have to outrace before they collapse.
- kcexn 2mo agoI'm not arguing that this isn't innovative or worthy of publication. Basically any result that moves the needle meets those criteria. I'm interested in how the results that OpenAI has published here differs from finding optimality solutions for incredibly niche optimization problems by throwing the problem in an enormous solver.
- sally_glance 2mo agoThey differ in that there hasn't been a solver you could have thrown them at. I guess you could argue their harness + LLM setup is a "solver", but the approach is so different from what we used that word for in the past that I don't think it would be appropriate.