✳flâneur — a map of the web's best reading

Xander Dunn

xander.ai · 238 words · saved by 1 readers

I'm additionally interested in information theory, security (vulnerabilities, exploits), and trees (the plant kind, not the balanced kind). I think Moravec's Paradox and the Bitter Lesson are two of the most important empirical realizations in AI.

Xander Dunn Xander Dunn I'm an engineer working on deep learning. ‍ GitHub A good way to see what I've been up to recently is to look at what I'm doing on GitHub . ‍ X Email Work 2025-Present: Building an AI scientist at Periodic Labs 2023-24: Implemented large scale pre-training infrastructure in Rust , pre-trained distributed Transformer foundation models across 8,000 GPUs and TRNs. Data, tensor, pipeline, and expert parallelism. Applying to LLM self play / self improvement with code generation. 2020-21: Fine-tuned GPT and BERT models and applied Secret Sharer to characterize unintended memo

Explore this link on the map →

related reading