Guillaume Verdon

Education and early research

Guillaume Verdon completed his undergraduate studies at McGill University, graduating with honours and a double major in Mathematics and Physics, which provided a rigorous foundation for his later work. He then pursued graduate studies at the University of Waterloo, a global hub for quantum research, where he was awarded the Institute for Quantum Computing (IQC) Entrance Award. In 2017, he completed his Master's degree at the IQC, focusing on quantum computing research within that specialized environment. Verdon continued his doctoral studies at Waterloo under the supervision of theoretical physicist Achim Kempf, working on advanced topics at the intersection of quantum information and fundamental physics. His early academic work established a strong foundation in both theoretical physics and quantum information science, which he would later apply in industry. In 2018, he was invited as a guest speaker to present his research at NASA's Adiabatic Quantum Computing conference, marking an early recognition of his expertise in the field by a major space agency.

Entrepreneurial ventures and industry work

Verdon's professional career began concurrently with his graduate studies, demonstrating an early drive to commercialize quantum research. In 2017, he co-founded Everettian Technologies, an early Canadian startup focused on quantum machine learning solutions, where he served as chief scientific officer. The company was named after physicist Hugh Everett III, known for the many-worlds interpretation of quantum mechanics. He also engaged in a side venture involving non-fungible tokens (NFTs) related to quantum information, which reportedly provided crucial seed capital for his later, more substantial startup, Extropic AI. His most prominent industry role was at Google, specifically within the company's X division (formerly Google X), where he had primary responsibility for theoretical work on the team that developed and introduced the TensorFlow Quantum open-source library for quantum machine learning. During this tenure, he worked on advanced concepts including quantum graph neural networks and quantum Hamiltonian-based models, exploring how quantum principles could enhance machine learning architectures. This work resulted in several patents with Google covering areas of quantum computing, quantum machine learning, and signal processing, solidifying his intellectual property contributions to the field.

Founding and leading Extropic AI

In 2022, Verdon co-founded Extropic AI with Trevor Mccourt, marking a significant pivot from purely quantum-focused hardware to a broader physics-based computing paradigm centered on thermodynamics. The company's stated mission is to build a thermodynamic hardware platform specifically designed to accelerate artificial intelligence research, particularly for large-scale models. Extropic AI initially operated in stealth mode, revealing only that it was focused on building chips specifically intended for running large language models (LLMs) more efficiently than conventional hardware. By 2025, reporting from Wired indicated Verdon was leading Extropic AI's work on developing a new kind of chip that utilizes probabilistic bits (p-bits) instead of the deterministic bits used in classical computing or the quantum bits (qubits) used in quantum computing. This approach aims to leverage thermodynamic and analog processes for more efficient AI computation, representing a novel direction in the development of AI hardware.

Co-founding the effective accelerationism movement

Beyond his technical work, Guillaume Verdon is a central figure in the effective accelerationism (e/acc) movement, which he co-founded and promoted under the pseudonym BasedBeffJezos. The movement's origins are traced to a May 2022 newsletter published by Verdon and three other authors, which laid out its core philosophical tenets advocating for rapid technological progress. In its coverage, Forbes magazine revealed Verdon's identity as the person behind the influential pseudonymous account, connecting his technical credibility with the movement's advocacy. Since being publicly named, Verdon has spoken extensively on podcasts and in public forums, actively debating individuals with opposing views on AI safety and the trajectory of technological progress. His debates with figures like AI safety researcher Connor Leahy have highlighted the philosophical and strategic divides within the AI community regarding the risks and pace of development toward artificial general intelligence (AGI). The e/acc movement, with Verdon as a leading voice, argues for a minimal precautionary principle, viewing accelerated technological development as a net positive for humanity that should not be overly restrained by regulatory or safety concerns.

Patents, publications, and intellectual contributions

Guillaume Verdon's research output includes both academic publications and patented inventions, reflecting a blend of open academic contribution and proprietary industrial innovation. His Google Scholar profile lists papers on quantum machine learning, tensor networks, and related topics, though his most widely recognized contribution is the foundational work on the TensorFlow Quantum library. His patent portfolio, filed through Google X, covers several innovative areas at the intersection of physics and computing, protecting the specific methods and architectures he helped develop. This body of work demonstrates a consistent focus on applying fundamental physics to create new computational paradigms, a theme that continues with his work at Extropic AI on thermodynamic computing.

• Patents in quantum computing architectures and methods for information processing.
• Patents for specific quantum machine learning algorithms and hybrid quantum-classical models.
• Patents related to advanced signal processing techniques using quantum principles for enhanced data analysis.
• Academic publications and conference presentations on quantum graph neural networks for complex data relationships.
• Research on quantum Hamiltonian-based models for machine learning, connecting quantum physics with optimization.
• Theoretical work presented as a Guest Speaker at NASA's 2018 Adiabatic Quantum Computing conference.

Public engagement, media, and philosophical advocacy

Verdon has become a frequent and influential commentator on the future of AI and technology, leveraging his dual identity as a technical expert and a movement co-founder. His revelation as BasedBeffJezos brought his previously pseudonymous philosophical advocacy into the open, creating a direct link between his technical projects at Extropic AI and his e/acc messaging about technological acceleration. He has been a guest on major podcasts, including a lengthy discussion on the Lex Fridman Podcast where he detailed his views on physics, computation, AGI, and the e/acc movement, reaching a wide audience of technologists and enthusiasts. Media coverage from outlets like Wired and Forbes often focuses on the dual aspects of his career: the founder of a deep-tech hardware startup and the co-founder of a provocative intellectual movement that challenges mainstream AI ethics frameworks. This engagement makes him a distinctive voice who articulates a vision of rapid, minimally constrained technological advancement directly from a position of hands-on technical expertise in quantum and thermodynamic computing. His public debates serve to crystallize the arguments for and against accelerationism, ensuring his role extends beyond research and development into shaping the broader discourse on humanity's technological future.

Questions about Guillaume Verdon

What is Guillaume Verdon known for?

Guillaume Verdon is known for three primary endeavours. He was a key theoretical contributor to Google's TensorFlow Quantum software library for quantum machine learning. He is the co-founder and driving force behind Extropic AI, a startup building thermodynamic hardware for AI acceleration. He is also a co-founder of the effective accelerationism (e/acc) movement, which he helped promote under the pseudonym BasedBeffJezos, advocating for rapid technological progress with minimal regulatory restraint, making him a notable figure in both technical and philosophical AI circles.

What is Extropic AI and what does it build?

Extropic AI is a hardware startup co-founded by Guillaume Verdon and Trevor Mccourt in 2022. The company is developing a thermodynamic computing platform designed to accelerate artificial intelligence research, moving beyond traditional digital and quantum computing paradigms. Initially operating in stealth mode, it focuses on building specialized chips for running large language models (LLMs) more efficiently. Its research, as reported in 2025, involves creating chips that use probabilistic bits (p-bits) that leverage thermodynamic fluctuations, rather than traditional deterministic bits, for a new form of AI computation.

What is the e/acc movement that Verdon co-founded?

Effective accelerationism (e/acc) is a movement co-founded by Guillaume Verdon that advocates for the rapid and largely unhindered development and deployment of advanced technologies, particularly artificial intelligence. It originated from a May 2022 newsletter authored by Verdon and three others, which outlined its principles. Verdon promoted its ideas extensively under the pseudonym BasedBeffJezos before being identified by Forbes. The movement is often positioned in opposition to more cautious AI safety frameworks and has become a focal point in debates about the future risks, benefits, and governance of AGI, with Verdon as one of its most prominent public defenders.

Where did Guillaume Verdon complete his education?

Guillaume Verdon completed his undergraduate education at McGill University. He graduated with honours with a double major in Mathematics and Physics. He then attended the University of Waterloo for graduate studies. He completed a Master's degree at the Institute for Quantum Computing in 2017 and received the IQC Entrance Award. He continued his PhD studies at Waterloo under the supervision of Achim Kempf.

What was Verdon's role at Google and what did he create?

Guillaume Verdon worked at Google, specifically within the X division (formerly Google X), where he had primary theoretical responsibility on the team that created the TensorFlow Quantum open-source library. This library is a key tool for prototyping quantum machine learning models by integrating quantum algorithms with the classical TensorFlow ecosystem. During his time there, he researched and developed concepts like quantum graph neural networks and quantum Hamiltonian-based models. His work at Google resulted in several patents in the fields of quantum computing architecture, quantum machine learning algorithms, and quantum-enhanced signal processing.

How did Verdon's earlier ventures lead to Extropic AI?

Verdon's entrepreneurial path to Extropic AI involved several earlier steps. In 2017, he co-founded Everettian Technologies, a quantum machine learning startup, gaining experience as a chief scientific officer in a deep-tech company. He also engaged in a side venture involving NFTs related to quantum information, which he has stated provided the initial capital necessary to fund the early stages of Extropic AI. His theoretical and practical experience at Google on TensorFlow Quantum and related patents gave him direct insight into the limitations and opportunities at the hardware-software interface for advanced AI, informing Extropic's focus on a novel thermodynamic hardware platform.

Sources and further reading

• Guillaume Verdon (Wikipedia)
• Guillaume Verdon on Building Machines That Might Think (theconsciousness.ai)

Checked by the Yadude Books desk. Last updated 2026-10-30.