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Feb 12 12 tweets 4 min read Read on X
She is one of the most powerful women in tech.

She worked at Tesla, launched ChatGPT, and oversaw GPT-4.

Her biggest flex? She refused billions from Mark Zuckerberg and built a $50 billion company instead.

This is the Mira Murati story: Image
She was the daughter of two teachers in Albania who pushed books, languages, and competition.

By her teens, she was winning math Olympiads.
At 16, she left for Canada on a scholarship.
By 23, dual degrees from Colby and Dartmouth.

And she was just getting started. Image
Then came the career moves that don't look linear until you see the pattern:

• Engineer at Zodiac Aerospace
• Senior Product Manager on Tesla's Model X
• VP of Product and Engineering at Leap Motion

Every job pushed her closer to the frontier of human-machine interaction. Image
At Tesla, she managed one of the company's most complex vehicles ever built.

Falcon-wing doors. Driver-assistance systems. Brutal development cycles under Elon Musk's expectations.

Three years of learning how to ship something beautiful and impossibly complicated. Image
In 2018, she joined OpenAI as VP of Applied AI and quietly expanded her control over research, product, and safety.

By 2022, she was CTO, the executive directly responsible for OpenAI's technical direction.

She oversaw the launch of ChatGPT, DALL·E, Codex, Sora, and GPT-4. Image
Then came November 2023.

The OpenAI board fired Sam Altman in a sudden crisis that shook the entire industry.

Murati stepped in as interim CEO.

For several chaotic days, she held together a company that was tearing itself apart. Image
But by September 2024, she was done.

She left OpenAI quietly and spent months talking to researchers and investors about what she felt was missing in AI.

Real transparency. More user control. Independence from tech giants.

In February 2025, she announced Thinking Machines Lab. Image
The company raised $2 billion at a $12 billion valuation before shipping a single product.

Her co-founders are all top OpenAI alumni: Schulman, Zoph, Weng, Tulloch, Metz.

Every one of them bet on her vision over the safety of a trillion-dollar company. Image
She structured it as a public benefit corporation.

Her voting power outweighs the rest of the board. No tech giant gets to override her direction.

The mission: "Build AI systems that are more widely understood, customizable, and generally capable."
That independence made Mark Zuckerberg nervous.

Meta, racing to build a superintelligence team, targeted more than a dozen of her engineers with packages reaching up to $1 billion each.

Not a single person took the offer.
By late 2025, Thinking Machines Lab was pursuing another $5 billion at a $50 billion valuation.

Meta threw billions at her team and barely made a dent.

That tells you everything about Mira Murati's gravitational pull. Image
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More from @realBigBrainAI

Feb 7
YouTube has quietly become a serious place to learn AI and machine learning.

These 10 channels will teach you more than most graduate programs.

Here's each one and what makes it different: Image
1) Andrej Karpathy

Universities teach AI through slides and theory, he teaches by building from a blank file.

Full lectures on neural nets, GPT models, and training pipelines that mirror what top labs do.

"You don't understand a model until you've built and broken it." Image
2) FAST AI (Jeremy Howard)

Most programs make you wait months before building anything.

Jeremy flips that.

You train a cutting-edge model in lesson one, then learn theory as you hit limits.

"You don't learn deep learning by watching. You learn it by doing." Image
Read 12 tweets
Jan 29
Google, Microsoft, IBM, Amazon, NVIDIA are giving away FREE courses and certifications in AI, cloud, and data science.

Here are 8 free programs that could change your career: Image
1) Google Career Certificates

Google built a backdoor into tech careers that bypasses the 4-year degree.

Their 6 career tracks in Data Analytics, Cybersecurity, UX Design, and more now include AI modules for Gemini.

Finish in 3-6 months. Get connected to 150+ hiring partners.
2) Microsoft AI Learning Paths

Microsoft wants everyone fluent in AI before their competitors catch up.

Their free courses on LinkedIn Learning and Azure take you from "what is AI?" to building apps with Copilot and Azure OpenAI.

Self-paced. Certificated. Zero cost.
Read 10 tweets
Jan 10
In 2026, everything in AI will change.

Forbes just revealed their boldest predictions of how.

The top 10 AI predictions every founder needs to see (number 9 is wild!): Image
1) Anthropic will go public, OpenAI won't.

Building frontier AI is insanely expensive: Anthropic needs $20B before profitability. OpenAI needs $150B.

In 2026, Anthropic will likely IPO — private funding won't cut it.

While, OpenAI can still rely on massive private funding. Image
2) Sam Altman will step aside as CEO of OpenAI.

OpenAI is losing its edge. Google's Gemini is closing the gap.

Altman's side ventures (chips, rockets) may feel like distractions from the real fight.

As IPO pressure builds, a leadership change makes sense.
Fidji Simo is the likely pick.Image
Image
Read 12 tweets

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