engineering

Mira Murati

Mira Murati is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mira Murati rather than just read about it. In short: Ermira "Mira" Murati (born 16 December 1988) is an Albanian-American business executive. She is a co-founder and chief executive of Thinking Machines Lab, an artificial intelligence company she launched in February 2025.

Key takeaways

Mira Murati belongs to engineering; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Mira Murati to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Mira Murati from memory before moving on to harder problems.

Reference excerpt

Ermira "Mira" Murati (born 16 December 1988) is an Albanian-American business executive. She is a co-founder and chief executive of Thinking Machines Lab, an artificial intelligence company she launched in February 2025. She served as chief technology officer of OpenAI from May 2022 to September 2024 and, for three days in November 2023, as the company's interim chief executive during the brief removal of Sam Altman. She previously worked as a product manager at Tesla and led product and engineering at Leap Motion.

Early life and education Murati was born on 16 December 1988 in Vlorë, Albania. She is fluent in English and Italian. At age 16, she attended Pearson College UWC on Vancouver Island in Canada for high school on the Davis United World College Scholars Program, from which she graduated in 2007 with an International Baccalaureate diploma. After high school, Murati studied at a dual-degree undergraduate program, receiving a Bachelor of Arts degree from Colby College in 2011 and a Bachelor of Engineering degree from Dartmouth College in 2012.

Career

Early career Murati interned in 2011 as a summer analyst at Goldman Sachs in Tokyo, Japan. She then briefly worked for Zodiac Aerospace as an intern before joining the electric car company Tesla in 2013 as a product manager on the Model X. From 2016 to 2018, she worked for the augmented reality start-up Leap Motion (now Ultraleap).

OpenAI In 2018, she joined OpenAI as vice president of applied AI and partnerships. She became chief technology officer (CTO) in May 2022. She led OpenAI's work on ChatGPT, DALL-E, Codex and Sora, while overseeing its research, product and safety teams. Murati worked on several of OpenAI's notable products, such as the Generative Pretrained Transformer (GPT) series of language models. During a June 2024 discussion at Dartmouth College's Thayer School of Engineering, Murati said some creative jobs may disappear, qualifying that such roles were questionable where the resulting content was of low quality. The remark drew criticism from writers and artists, including Dartmouth students. In October 2023, Murati was ranked 57th on Fortune's list of "The 100 Most Powerful Women in Business of 2023". In November 2023, Murati became the interim chief executive officer of OpenAI following the removal of Sam Altman from the job. She had collaborated with Ilya Sutskever, whose 52-page memo outlining concerns about Altman relied heavily on screenshots and information she provided, which contributed to the board's decision to oust him. Murati was replaced by Emmett Shear three days later, who left when Altman was reinstated five days later. Following these events, Murati returned to her role as CTO. In June 2024, Dartmouth College awarded Murati an honorary Doctor of Science. In September 2024, Murati announced that she was stepping down as CTO to allow her the opportunity to "do my own exploration". This move came amid a wider executive exodus as OpenAI chief research officer Bob McGrew and a vice president of research, Barret Zoph, also announced their departures soon after.

Thinking Machines Lab In February 2025, Murati launched Thinking Machines Lab, a new public benefit corporation aiming "to make AI systems more widely understood, customizable, and generally capable". She was reported to have hired "a team of about 30 leading researchers and engineers from competitors including Meta, Mistral, and OpenAI." People involved with the startup include OpenAI co-founder John Schulman, and advisors Alec Radford and Bob McGrew. The following month, Bloomberg reported that the company had reached an estimated valuation of $9 billion, with an "average founder stake value" of $1.4 billion. In April 2025, Thinking Machines Lab reportedly aimed for a $2 billion seed round (requiring a minimum investment of $50 million). The round was led by Andreessen Horowitz and included participation from the government of Albania, valuing the company at $12 billion. Thinking Machines Lab follows a governance structure wherein Mira Murati holds a deciding vote on board matters, weighted to provide her with a majority decision-making capability. In October 2025, Thinking Machines Lab announced its first product, Tinker, a tool used to create custom frontier AI models.

Publications Murati, Ermira (Spring 2022). "Language & Coding Creativity". Daedalus. 151 (2). Cambridge, MA: American Academy of Arts and Sciences (AAAS): 156–167. doi:10.1162/daed_a_01907. Retrieved 25 September 2024.

References

External links Mira Murati on X

Illustrations

Worked examples

Example 1 — a first encounter with Mira Murati

Start with the simplest possible case. Write down what Mira Murati claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mira Murati before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mira Murati ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mira Murati

In research: Mira Murati appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Mira Murati in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Mira Murati is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1988 births, 21st-century Albanian businesspeople, Albanian businesswomen, so understanding it makes those chapters shorter.
In everyday life: Look for Mira Murati outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Mira Murati in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Mira Murati means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Mira Murati out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mira Murati in simple terms?

Why does Mira Murati matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mira Murati?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mira Murati.