Hello, my name is Shalev Lifshitz.

AI Researcher & Founder

My objective is to build safe superintelligence and help humanity reach a new evolutionary step.
I'm the co-founder of a stealth AI lab.

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Shalev Lifshitz

About Me

I'm an AI researcher, engineer, and founder. I've spent the last decade engineering frontier AI systems (computer use, reasoning, verification) and working at the intersection of AI and national security. I'm the co-founder of a stealth AI lab.

My past work includes one of the first AI systems capable of general computer control (NeurIPS 2023 Spotlight), methods for scaling test-time compute to improve LLMs without additional training, with Harvard (CoLM 2025), train-time RL algorithms for reasoning during pretraining before OpenAI's o1, with Oxford (NeurIPS 2024), novel brain-inspired neural network architectures with the University of Waterloo, creating the entire ML infrastructure stack for a leading surgical navigation company, and designing AI simulations of cities for the defense sector. Outside of research and engineering, I enjoy writing low-level systems in C/C++ like operating systems, 3D rendering engines, and game engines.

I first fell in love with AI because it was the bridge between both of my passions: the brain and technology. I believe we are living through the most consequential moment in human history — the transition to a world shared with superintelligent machines. Getting this right is the greatest opportunity of our generation. I've spoken at conferences around the world to help others grapple with what's coming, and everything I do is in service of ensuring humanity emerges from this transition safer, freer, and more capable than before.

My objective is to build safe superintelligence and help humanity reach a new evolutionary step. Feel free to reach out if you'd like to chat.

Selected Works

Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers

Shalev Lifshitz, Sheila McIlraith, and Yilun Du
International Conference on Language Modeling, 2025

On Reward Functions For Self-Improving Chain-of-Thought Reasoning Without Supervised Datasets

Thomas Foster*, Eltayeb Ahmed*, Jonathan Cook*, Shalev Lifshitz, Tim Rocktäschel, Jakob Foerster
NeurIPS Language Gamification Workshop, 2024

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

Shalev Lifshitz*, Keiran Paster*, Harris Chan, Jimmy Ba, Sheila McIlraith
Advances in Neural Information Processing Systems, 2023
Spotlight Paper

Gram Barcodes for Histopathology Tissue Texture Retrieval

Shalev Lifshitz, Abtin Riasatian, Hamid Tizhoosh
arXiv, 2021

Subtractive Perceptrons for Learning Images: A Preliminary Report

Hamid Tizhoosh, Shivam Kalra, Shalev Lifshitz, Morteza Babaie
International Conference on Image Processing Theory, Tools and Applications, 2019

Selected Talks