Do LLMs make ML research more fair for small teams? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
It feels like LLMs are partially leveling the playing field in ML research. A solo researcher or a two-person team can now get help with coding, literature review, writing things stronger labs usually get from experienced colleagues and large networks.
Obviously, LLMs don’t replace mentorship, or good research taste. But they may help researchers with weak networks or small groups turn good ideas into publishable work.
Do you think this is actually making ML research more accessible, or are the strongest labs benefiting even more?
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