Everything Jessica Rumbelow said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Rumbelow: Leap Labs' Discovery Engine Automates Novel Scientific Discovery via Interpretability
“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: Leap Labs Discovered Novel Predictive Markers for Tumor-Reactive T Cells
“And we found basically novel markers that are quite predictive of this. And these novel markers were not what we expected them to 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…”
Rumbelow: Multimodal analysis is impossible without fine labeling or interpretability
“It's largely impossible to do good data analysis on multimodal data of this kind, unless you have really fine grained labeling of your images. For example, which is just very, very burdensome, but obviously deep learning, we can let the model figure out its ow…”
Rumbelow: Leap Labs is roughly 100x faster than manual analysis
“We're about a hundred times faster than manual analysis.”
Rumbelow: Leap Labs Found Soil Manganese and Genotype Synergy Impacting Root Architecture
“We found a bunch of new things actually. This is one of them, which is a particular like synergistic effect between manganese content in the soil and a particular genotype. Of this test crop, which actually has a really profound effect on the root architecture…”
Rumbelow: Leap Labs is launching free platform for open-source data
“We're launching a basically free. Dashboard, service, web, app, platform, free for academics, or free for anybody who will publish their data, basically free for open source data.”