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Vishal Maini

Vishal Maini

Founder & Managing Partner at Mythos Ventures, AI investor, and DeepMind alum

vishal-maini
San Francisco, California
Joined March 2026
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Summary

Vishal Maini is a venture capitalist and entrepreneur deeply focused on artificial intelligence. He founded Mythos Ventures, an early-stage firm that raised $14 million for its first fund, aiming to invest in "transformative AI" and "prosocial AI startups" that are building "AGI-proof companies." His investment philosophy centers on supporting founders with a vision for how they want the world to be, making an impact through technological innovation. mythos+2
He possesses a strong background in AI safety and alignment, stemming from his time at DeepMind, where he co-led AGI Deployment Strategy and served as a Strategic Communications Manager. His work included co-authoring research papers on topics like "Scalable agent alignment via reward modeling" and "Building safe artificial intelligence," demonstrating a commitment to responsible AI development. medium+2
Maini is also an educator and communicator of AI concepts. He co-authored the book and Medium series "Machine Learning for Humans," providing accessible explanations of complex machine learning topics. This initiative highlights his dedication to making AI understandable to a broader audience. medium+1
His entrepreneurial journey began early, co-founding the Arizona Microcredit Initiative as a Yale undergraduate. This non-profit aimed to provide business coaching and small loans to underserved entrepreneurs. Later, as an Entrepreneur In Residence at Convergent Research and through his True Entrepreneur Corps Fellowship, he gained diverse experience in fostering innovation and growth in technological ventures. statepress+2

Work

Education

Writing

Taking the plunge: my path to working on artificial intelligence

July 3, 2023

A Medium article detailing his transition into AI, reflecting on large-scale risks and his focus on strategy and deployment of safe AGI.

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AI Reading List

June 19, 2019

A curated list of key resources on artificial intelligence and its long-term implications, published for newcomers to the field.

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Building safe artificial intelligence: specification, robustness, and assurance

September 27, 2018

A publication co-authored with Pedro A. Ortega and the DeepMind safety team, categorizing and addressing AI safety problems.

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Scalable agent alignment via reward modeling: a research direction

January 1, 2018

A research paper co-authored during his time at DeepMind, focusing on foundational concepts for aligning AI systems with human intentions.

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Machine Learning for Humans

September 1, 2017

Co-authored a book with Samer Sabri providing an accessible introduction to machine learning concepts including supervised, unsupervised, neural networks, and reinforcement learning.

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