Lecturer in Theoretical ML at Wits University. Founder of the Cognition, Adaptation and Learning Lab (@caandl_lab). Google PhD Fellow and Commonwealth Scholar.

Johannesburg, South Africa
Joined September 2016
I’m excited to share that our paper “Compositionality and systematicity emerge from iterated learning in deep linear networks” has been published at PNAS. This work was conducted with @kleinric @BenjaminRosman and @SaxeLab. Some highlights below. pnas.org/doi/full/10.1073/pn…
New research from the University of the Witwatersrand, South Africa, is shedding light on how language evolves, in both humans and artificial intelligence models. The study explores the role of culture and “iterated learning”, showing how language becomes more structured over generations in both human development and large-scale AI language models. 🔗 Read More: ow.ly/42Vr50Z4BjH #WitsForGood #WitsResearch #ResearchForGood
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We are excited to share that CAandL Lab will feature in 3 papers at #ICML2026 this week. Stop by and say hi if you are interested in any of these! @devonjarvi5, @stefsmlab, @geraudnt with @kleinric, @BenjaminRosman, Damien Harvey, Branden Ingram, and Steven James
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I'm excited to share our position paper that has been accepted at ICML as a Spotlight paper. In this work we (@kleinric, @BenjaminRosman, Steven James and @stefsmlab) make a call to action for more focus on model collapse in the AI Fairness community arxiv.org/pdf/2605.04127
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There are a lot of alternative views one could take. We discuss these extensively and invite debate! One important prior position we discuss a lot is from @RylanSchaeffer calling for more precision and consistency in defining model collapse to avoid exaggerating the threat. [4/5]
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Overall we hope this work contributes to the growing discussion on model collapse. It is important to recognise that model collapse will be felt disproportionately by some groups in society and we call for more work aimed at identifying and mitigating its effects. [5/5]
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[1] Kirby, S., et al. (2008). "Cumulative cultural evolution in the laboratory..." Proceedings of the National Academy of Science [2] Griffiths, T. L., & Kalish, M. L. (2007). Language evolution by iterated learning with Bayesian agents. Cognitive science. (8/8)
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[3] Saxe, A., et al. (2019). A mathematical theory of semantic development in deep neural networks" Proceedings of the National Academy of Sciences [4] Conklin, H., & Smith, K. (2023). Compositionality with variation reliably emerges in neural networks. In The eleventh ICLR.
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CAandL Lab is at #Cosyne2026! 🧠 If you are interested in complementary learning systems and multisensory integration, check out our work by @liamculligan tomorrow! Our gratitude to the MIND Institute @WitsUniversity for generously sponsoring the conference travel expenses.
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Hiring 2 Postdocs to work on Theoretical Foundations of AI Safety @chalmersuniv If you have a background in Physics, Math, or ML and want to tackle AI alignment at a fundamental level alongside UCL, apply below! 🔗Apply: chalmers.se/en/about-chalmer… 🔬Lab: stefsmlab.github.io/
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Devon Jarvis retweeted
We would like to congratulate and wish the Faculty of Science well on the launch of the AMPLIFY Unit lead by Abdul Hamid Carrim! Mathematics is at the heart of Computer Science and we are excited to see this step towards promoting excellence in 1st Year Mathematics.
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🎉 Congratulations to Jess Rees and Tristan Bester on being awarded the highly competitive Google PhD Fellowship for 2025 . 💙🏛️ This prestigious fellowship recognises exceptional PhD candidates from the School of Computer Science and Applied Mathematics (CSAM) at Wits whose research shows outstanding potential for groundbreaking scientific contributions and meaningful societal impact. Read More: ow.ly/JcFH50XZZsP #WitsForGood #WitsResearch #InnovationForGood
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