NEW BIML Bibliography entry AND NEW TOP FIVE #MLsec PAPER
READ IT
https://arxiv.org/pdf/2510.07192
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Alexandra Souly, ... Nicholas Carlini, et al
Excellent paper, clear and well-stated (like all Carlini papers). This result shows that recursive pollution risk is even greater than we thought. Injecting backdoors is pretty easy. The examples are a bit simplistic.
NEW BIML Bibliography entry
https://arxiv.org/abs/2510.04871
Less is More: Recursive Reasoning with Tiny Networks
Alexia Jolicoeur-Martineau
This is an engineering exercise akin to “set it to 57,” but it is really interesting. A set of weekend kludges that has important implications. Harold wants to pursue this line to think about how integers are represented. Won the ARC prize.
NEW BIML Bibliography entry
https://www.nature.com/articles/s41586-025-09446-5
Optical generative models
Chen, Shiqi, Yuhang Li, Yuntian Wang, Hanlong Chen and Aydogan Ozcan
Light for computation with properties of low power and superposition. Analo of quantum computing. This reminds os of Rosenblatt’s Perceptrons from the ’50s.
NEW BIML Bibliography entry
https://direct.mit.edu/books/oa-monograph/5600/Context-Changes-EverythingHow-Constraints-Create
Chapter 13, Context Changes Everything
Alicia Juarrero
A solid treatment of the 4Es theory (Embodied, Embedded, Extended, Enactive) properly grounded in philosophy of mind.
NEW BIML Bibliography entry
https://bpb-us-w2.wpmucdn.com/web.sas.upenn.edu/dist/7/206/files/2016/09/37cogucs76pap-1br5n10.pdf
The Evolution of Intelligence and Access to Cognitive Unconscious
Paul Rozin
Social learning, tool use, and psychology. An ancient and still relevant paper. Discusses evolution and genetic programming.
NEW BIML Bibliography entry
https://arxiv.org/abs/2506.21521v1
Potemkin Understanding in Large Language Models
Marina Mancoridis et al
Consistency checks demonstrate the paucity of LLM "concepts." Error-making in systems reveals important issues. This work rediscovers something important and introduces some new nomenclature for describing it.
NEW BIML Bibliography entry
https://arxiv.org/abs/2505.11581
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
Akarsh Kumar et al
Excellent work on representation in the face of stochastic gradient descent. This is a top paper in representation. Introduces FER. Toward creativity and intuition.
