Max David Gupta @MaxDavidGupta1
Computational-Cognitive-Scientist-In-Training CS @ Princeton Math @ Columbia maxdgu.github.io Joined March 2020-
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In my recent work with @cocoscilab, I’ve been exploring how metalearning acts as an algorithmic tool for understanding the emergence of relational reasoning and rapid few-shot learning in neural networks, with the goal of explaining how it may be that people learn to learn…
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Mech interp is great for people who were good at calc, interested in the brain, but too squeamish to become neurosurgeons? Sign me up.
Jung: "Never do human beings speculate more, or have more opinions, than about things which they do not understand" This rings of truth for me today - I'm grateful to be a part of institutions that prefer the scientific method to wanton speculation
Love this take on RL in day-to-day life (mimesis is such a silent killer):
Love this take on RL in day-to-day life (mimesis is such a silent killer):
ICML is everyone's chance to revisit the days we peaked in HS multi-variable calc
Max David Gupta retweeted
I am starting to think sycophancy is going to be a bigger problem than pure hallucination as LLMs improve. Models that won’t tell you directly when you are wrong (and justify your correctness) are ultimately more dangerous to decision-making than models that are sometimes wrong.
Max David Gupta retweeted
𝐍𝐨, 𝐲𝐨𝐮𝐫 𝐛𝐫𝐚𝐢𝐧 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐛𝐞𝐭𝐭𝐞𝐫 𝐚𝐟𝐭𝐞𝐫 𝐋𝐋𝐌 𝐨𝐫 𝐝𝐮𝐫𝐢𝐧𝐠 𝐋𝐋𝐌 𝐮𝐬𝐞. Check our paper: "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task" : brainonllm.com
Max David Gupta retweeted
🤖🧠Paper out in Nature Communications! 🧠🤖 Bayesian models can learn rapidly. Neural networks can handle messy, naturalistic data. How can we combine these strengths? Our answer: Use meta-learning to distill Bayesian priors into a neural network! nature.com/articles/s4146… 1/n
can ideas from hard negative mining from contrastive learning play into generating valid counterfactual reasoning paths? or am I way off base? curious to hear what people think
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