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Teaching morality to transformers
We train a custom transformers architecture on MIT Moral Machine data and run interpretability experiments on it
 • Mayank Goel
Can an AI actually be your research mentor?
An AI research mentor that moves undergrads from "I have no idea" to a paper draft, with stage-aware guidance, tools, and measurable gains.
 • Abhinav Rajeev Kumar
Why LLMs Aren't Scientists Yet
Case study from four attempts at autonomous research and getting an AI-written paper published at an experimental conference.
 • Dhruv Trehan
Dreaming Is the New Thinking
The next leap in intelligence won’t purely come from bigger models, it’ll come from machines that can imagine their own futures.
 • Akshat Singh Jaswal
Your LLM is a confused oracle
We show that the forecasting accuracy of LLMs depends on what you ask and how you ask
 • Chinmay and Paras Chopra
Future of LLMs might not be Autoregressive
Intro to the world of block diffusion
 • Ayush Nangia and Aman Gokrani
Sequential scaling outperforms parallel scaling for LLMs
AI reasoning just got a upgrade: At the same compute cost, sequential thinking—iteratively refining ideas—beats parallel "crowdsourcing" in 95.6% of…
 • Aman Sharma
Notes on Tiny Recursion Network
aka how a 7M parameter network gets SOTA on Sudoku-Extreme with 87% accuracy
 • Paras Chopra
Do LLMs know when they've gotten a correct answer?
We show they do and then use it to help cut reasoning cost (in tokens) by up to 50% without losing accuracy
 • Aman Sharma
Lossfunk Letters
Exploring stochastic parrots 🦜 until they become self-aware
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