So many things that were being explored in data science in the 2010s need to be revisited in the age of agents and LLMs. There is so much low hanging fruit out there.
11:30 AM · Jul 4, 2026 · 2.1K Views
Cody Blakeney of Arcee AI says modern LLMs should integrate overlooked data science methods from the 2010s
He claims older analytical concepts offer untapped opportunities for autonomous agents.
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Pranav Shyam@recurseparadox
Welcome to the dark side
Cody Blakeney@code_star
So many things that were being explored in data science in the 2010s need to be revisited in the age of agents and LLMs. There is so much low hanging fruit out there.
4hViews 301Likes 5Bookmarks 2
himanshu@himanshustwts
@code_star information extraction from unstructured text, yes
5hViews 170Bookmarks 1
gerred@sloppenheimer
@code_star especially in industry, I worked on a multi-symptom illness classifier way back in 2012 and that took an entire company at the time with a data science team. couldn't ever just explore that whole search space.
6hViews 69Likes 2
Pratik Gandhi@pratikg
@code_star literally point a research agent at every abandoned arxiv thread
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