Eric Zhang
Thinking Machines Lab aims to make AI systems more widely understood, customizable, and generally capable through open science and multimodal research.
At a Glance
- AI Developers
- Enterprise R&D
- Scientific Institutions
AI Tools by Eric Zhang
(1)
jax-js
JAX ML Compiler for JavaScript
Discussions
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Latest News
Mira Murati launches Thinking Machines Lab with high-profile AI talent.
Thinking Machines Lab raises $2B Seed round led by a16z.
Murati's Thinking Machines in funding talks at $50 billion valuation.
Staff defections at Thinking Machines Lab as some researchers return to OpenAI.
Products & Services
An API and toolkit designed to simplify the fine-tuning and deployment of open-source AI models.
Market Position
Positions itself as a more customizable and transparent alternative to centralized AI labs like OpenAI and Anthropic.
Leadership
Founders
Mira Murati
Former Chief Technology Officer at OpenAI; briefly served as Interim CEO of OpenAI.
John Schulman
Co-founder of OpenAI and primary architect of ChatGPT; research lead for post-training.
Lilian Weng
Former Head of Safety Systems at OpenAI; lead for research and development.
Barret Zoph
Former research lead at OpenAI for post-training and RLHF; previously at Google Brain.
Andrew Tulloch
Former software engineer and researcher at Meta AI; expert in large-scale machine learning systems.
Luke Metz
Former researcher at OpenAI and Google Brain; specialized in model training and optimization.
Executive Team
Mira Murati
CEO
Former CTO of OpenAI, leader in the development of GPT-4 and DALL-E.
Eric Zhang
Member of Technical Staff (Key Early Hire)
Former Principal Engineer and Founding Engineer (#4) at Modal Labs; Gold Medalist at International Olympiad in Informatics (IOI).
Board of Directors
Founding Story
Thinking Machines Lab was established by Mira Murati following her tenure as CTO of OpenAI. She recruited a 'dream team' of researchers from OpenAI, Meta, and Mistral AI with the mission of building AI that is not just a 'black box' but a tool that users can adapt to their specific needs.
Business Model
Revenue Model
API usage (Tinker), customizable platforms, and enterprise consulting services.
Pricing Tiers
Access to fine-tuning tools and inference API.
Full-stack AI deployment and custom model training.
Target Markets
- AI Developers
- Enterprise R&D
- Scientific Institutions
- Custom AI model deployment
- Scientific discovery
- Enterprise AI transformation
- Various early enterprise partners in stealth