Unveiling Q* Model: OpenAI’s Alleged Internal Project

Daniel Foo
3 min readDec 5, 2023

Artificial intelligence (AI) has taken the world by storm, revolutionizing industries and transforming our daily lives. However, amidst the excitement and innovation, concerns linger about the potential risks and ethical implications of these powerful technologies. Amidst this backdrop, rumors have surfaced about a mysterious project within OpenAI known as Q*.

What is Q*

Q* (pronounced “Q-star”) is an alleged internal project by OpenAI dedicated to the application of artificial intelligence in logical and mathematical reasoning. The reported work involves performing math on the level of grade-school students.

Q* is reportedly a hybrid algorithm that combines reinforcement learning techniques with symbolic reasoning. This combination could allow AI systems to not only learn from experience but also reason about the world in a more systematic way.

The development of Q* has raised concerns about the potential for artificial general intelligence (AGI). AGI is a hypothetical type of AI that would be capable of understanding and reasoning at the same level as a human being. If Q* is capable of even simple mathematical reasoning, it could be a significant step towards AGI.

OpenAI has not released any information about Q* publicly, and it is unclear whether or not the project is still active. However, the rumors surrounding Q* have sparked a renewed interest in AI safety and ethics.

Why Q* is Important to AI?

Q*’s significance lies in its potential to bridge the gap between AI’s current capabilities and artificial general intelligence (AGI). AGI, a hypothetical type of AI, would possess the ability to understand and reason at the same level as a human being. If Q* can successfully tackle even rudimentary mathematical problems, it would mark a significant step towards achieving AGI.

What are the Use Cases for Q*?

The potential applications of Q* are vast and far-reaching. In the realm of scientific research, Q* could be employed to accelerate the pace of discovery and innovation. It could assist in the development of new materials, the design of complex experiments, and the analysis of intricate datasets.

Beyond science, Q* could revolutionize various industries. In finance, it could optimize trading algorithms and improve risk assessment models. In healthcare, it could aid in medical diagnosis and treatment planning. Education could also be transformed, as Q*-powered tutors could provide personalized instruction and adapt to individual learning styles.

What Risks Does Q* Introduce?

While Q* holds immense promise, it also raises concerns about potential risks. The most prominent fear is the misuse of Q* to create autonomous weapons or other harmful AI systems. Moreover, the unintended consequences of Q* could be profound and far-reaching, potentially disrupting economies and exacerbating societal inequalities.

Here are some of the potential risks of Q*:

  • Misuse: Q* could be misused to create autonomous weapons or other harmful AI systems.
  • Job displacement: Q* could automate many jobs that are currently done by humans.
  • Unintended consequences: Q* could have unintended consequences that we do not yet understand.

What Should We Expect for Q*’s Future Evolution?

The future of Q* remains uncertain, as OpenAI has not publicly acknowledged its existence or released any official information about the project. However, the rumors surrounding Q* have sparked a renewed debate about AI safety and ethics.

As AI continues to advance, it is crucial to establish robust ethical and safety frameworks to ensure that these powerful technologies are used responsibly and for the benefit of humanity. Open dialogue and collaboration between researchers, policymakers, and the public are essential to navigate the uncharted waters of AI development and ensure that Q* and other AI technologies are harnessed for good.


Q* represents a fascinating yet controversial chapter in the evolving landscape of AI. While its potential benefits are undeniable, it is imperative to carefully consider the risks associated with this technology and proactively address any potential ethical concerns.

By fostering open discussions and establishing robust ethical frameworks, we can ensure that AI continues to serve as a force for positive transformation in the world.



Daniel Foo

Director of Engineering at MoneyLion | MBA | Certified Scrum Master | Microsoft Certified Solution Expert