As of April 2026, focused on learning connectomics, simulated brain emulation and uploading, AI compute that can accelerate 3D construction of neural connections, scanning hardware. Sharing study notes, experiments and trials as I learn the field.
Also working on architectures for AI for accelerated scientific discovery.
Photo Shoots & Sketches
View allVerified Replay Distillation: a small recipe for continual learning in verifiable domains
A short tour of VRD, an on-policy continual learning recipe that uses nothing more than a verifier, a replay buffer, and a failure-driven curriculum to teach a language model new task families without forgetting old ones.
autoresearch-mamba: Karpathy-Style Autoresearch for Mamba-2, Mamba-3, and Hybrid Mamba-Transformer MoE
Karpathy-style autoresearch for Mamba-2, Mamba-3, and Nemotron-H style hybrid Mamba-Transformer MoE language models on MLX and GPU.
Mem-RLM — Memory-Augmented Inference for Recursive Language Models
An open-source memory layer for Recursive Language Models that records execution trajectories, extracts reusable strategies, and injects them into future runs. Models stop starting cold and actually learn which approaches work for which problem types — 26% accuracy improvement on weaker models, fully stateful inference.
A self-improving skill catalog for AI agents
An open-source skill catalog that agents use, extend, and improve themselves. 19 skills covering the full LLM lifecycle, autonomous research, GPU/TPU/QPU programming, and scientific computing — built by agents, for agents.
Claude Code-Time Skill Acquisition with Agent Teams
A team of agents researched, synthesized, and integrated a production-grade React Native skill into a shared knowledge base in under 15 minutes — just through coordination at Claude Code-time.
On Compression, Computation and the Space Between
Kolmogorov complexity, neural networks as program search and Wolfram's ruliology seem to be looking at the same thing from different rooms.
Defeating Nondeterminism in LLM Inference: Reproducing Batch-Invariant Ops (RMSNorm & Tiled Matrix Multiplication) in JAX
A learning log reproducing the implementation of batch-invariant NN operations in JAX, drawing from Thinking Machines Lab's seminal collaborative work, \"Defeating Nondeterminism in LLM Inference.\"
Streaming deepagents and task delegation with real-time output
This post demonstrates how to implement streaming capabilities on top of DeepAgents' package with multi-agent setup, with practical code examples and architectural patterns you can apply to your own projects.
Energetics of Allosteric Communication in Ubiquitin Revealed by Hybrid MCTS-Langevin Simulations
Exploring protein conformational landscapes and identifying potential allosteric communication pathways remain significant challenges in computational biophysics. This study presents a hybrid computational approach combining Monte Carlo Tree Search (MCTS) with Langevin Dynamics (LD) simulations using the OpenMM toolkit to enhance conformational sampling.