Bradley Love

@ProfData

Senior research scientist at @LosAlamosNatLab. Former prof at @ucl and @UTAustin. CogSci, AI, Comp Neuro, AI for scientific discovery Also @profdata on Bluesky

London, UK

Joined September 2014

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Bradley Love@ProfData · Nov 27

"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s4156… 1/8

ProfData's tweet image. "Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s4156… 1/8

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Bradley Love Retweeted

touchNEUROLOGY@touchNEUROLOGY · Mar 12

🧠 We speak with Prof. Bradley Love about BrainGPT—an AI model helping researchers process neuroscientific data faster than ever. 🔍 How does BrainGPT work? 🚀 Where is AI taking brain research next? 🎧touchneurology.com/podcast/braing… @ProfData

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Bradley Love@ProfData · Jun 13

New blog w @ken_lxl, “Giving LLMs too much RoPE: A limit on Sutton’s Bitter Lesson”. The field has shifted from flexible data-driven position representations to fixed approaches following human intuitions. Here’s why and what it means for model performance bradlove.org/blog/position-…

ProfData's tweet card. Introduction Sutton’s Bitter Lesson (Sutton, 2019) argues that machine learning breakthroughs, like AlphaGo, BERT, and large-scale vision models, rely on general, computation-driven methods that...

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Bradley Love@ProfData · May 28

New blog, "Backwards Compatible: The Strange Math Behind Word Order in AI" w @ken_lxl. It turns out the language learning problem is the same for any word order, but is that true in practice for large language models? paper: arxiv.org/abs/2505.08739 BLOG: bradlove.org/blog/prob-llm-…

ProfData's tweet image. New blog, "Backwards Compatible: The Strange Math Behind Word Order in AI" w @ken_lxl. It turns out the language learning problem is the same for any word order, but is that true in practice for large language models? paper: arxiv.org/abs/2505.08739 BLOG: bradlove.org/blog/prob-llm-…

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Bradley Love@ProfData · Jan 21

Last year, we funded 250 authors and other contributors to attend #ICLR2024 in Vienna as part of this program. If you or your organization want to directly support contributors this year, please get in touch! Hope to see you in Singapore at #ICLR2025!

IICLR 2026@iclr_conf · Jan 21

Financial Assistance applications are now open! If you face financial barriers to attending ICLR 2025, we encourage you to apply. The program offers prepay and reimbursement options. Applications are due March 2nd with decisions announced March 9th. iclr.cc/Conferences/20…

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Bradley Love Retweeted

Ilia Sucholutsky@sucholutsky · Jan 16

🚨Call for Papers🚨 The Re-Align Workshop is coming back to #ICLR2025 Our CfP is finally up! Come share your representational alignment work at our interdisciplinary workshop at @iclr_conf representational-alignment.github.io

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Bradley Love@ProfData · Dec 13

Thanks @skdh for covering our recent paper, doi.org/10.1038/s41562… Also, I want to spotlight this excellent podcast (19 minutes long) with Nicky Cartridge covering how AI will impact science and healthcare in the coming years, touchneurology.com/podcast/braing…

SSabine Hossenfelder@skdh · Dec 10

A new AI study foreshadows a lot of the changes we will see in science in the next years. Large Language Models turn out to be really good at predicting results of studies they've never seen before. youtube.com/watch?v=Qgrl3J…

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