codelion
- Karma
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- Frame: Grounding LLM Vulnerability Detection with a Sound Separation-Logic Core (lambdasec.github.io)
- A 1B humanizer that matches human writing on an AI detector (mlx-optiq.com)
- Zero-Dependency Programming (conjure.pages.dev)
- Scaling Pedagogical Pre-Training: From Optimal Mixing to 10B Tokens (huggingface.co)
- From HashHop to Memory-Augmented Language Models (huggingface.co)
- The Optimal Architecture for Small Language Models (huggingface.co)
- OpenEvolve: Teaching LLMs to Discover Algorithms Through Evolution (algorithmicsuperintelligence.ai)
- The 1B Token Challenge: Finding the Perfect Pre-Training Mix (huggingface.co)
- The 1B Token Challenge: Finding the Perfect Pre-Training Mix (huggingface.co)
- Unsupervised Model Improvement via Internal Coherence Maximization (huggingface.co)
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I built PTS (Pivotal Token Search), an open-source library for mechanistic interpretability analysis of language models. The core feature is generating "thought anchors" - identifying which specific sentences in a…
- Automated Discovery of High-Performance GPU Kernels with OpenEvolve (huggingface.co)
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I built an open-source plugin in OptiLLM that implements Google's "Deep Think" reasoning approach for local models like DeepSeek R1 and Qwen3. Google's recent Gemini 2.5 report introduced Deep Think - a technique where…
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I built a system that lets LLMs automatically learn and improve problem-solving strategies over time, inspired by Andrej Karpathy's idea of a "third paradigm" for LLM learning. The basic idea: instead of using static…
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I built AutoThink, a technique that makes local LLMs reason more efficiently by adaptively allocating computational resources based on query complexity. The core idea: instead of giving every query the same "thinking…
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I've built an open-source implementation of Google DeepMind's AlphaEvolve system called OpenEvolve. It's an evolutionary coding agent that uses LLMs to discover and optimize algorithms through iterative evolution. Try…