Jessica Rumbelow, co-founder of Leap Labs, compares the speed of Leap Labs' automated Discovery Engine to traditional manual hypothesis-driven data exploration.
“We're about a hundred times faster than manual analysis.”
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“Discovery Engine is an end-to-end system, takes in arbitrary scientific data set, automatically trains a bunch of neural networks on it, and then We systematically, with our interpretability methods, which is the real secret extract the patterns that have been…”
Rumbelow: arXiv Is Filling With Plausible but Unverified AI Papers
“I'm actually really worried about this because I think we're already seeing archive and other online repositories and... Submissions too, full of these very, very plausible papers. That may or may not be true. And like at that point, what good is the, is our s…”
Rumbelow: Interpretability turns neural networks into scientific discovery tools
“If you've got really good interp, you can start to reframe neural networks, not as just a tool for automating things that we already know how to do, but as a tool for discovery, as like a lens through which you can see patterns in data that would otherwise
Be …”
Rumbelow: LLMs Are Ill-Suited for Large Numeric Datasets
“Language models are just that, right? They're models of language. They are not particularly well suited for understanding arbitrary, you know, like big numeric data sets.”
Rumbelow: Standalone Claude Opus Hallucinated Materials Science Data Findings
“So, so Claude, lovely Claude. I'm sorry Claude, but you did a terrible job. It hallucinated some stuff. It made some like big sweeping over, over generalizations. It like over indexed the few outliers. Like, it's fine. It's not Claude's fault. Like Claude is j…”
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