Treasure Odigie

God's own ❤️ • Building a powerhouse @howtoseriesHQ • Ex (engineering intern): @totalenergies & @slb • @YALInetwork Fellow. 📚 Focus: Energy, Youth & Education.

[Treasure Odigie @treasureodigie_]

Guys, I made a first class! Reintroducing: Treasure Odigie, B.Eng, First Class Honours, Chemical Engineering. Thank you God!!! 🥹

[Temi Ajibade @TemiOtedola]

im going to do great things in this life

[Aakash Gupta @aakashgupta]

A 15-year-old girl immigrates to New Jersey from China. Doesn’t speak English. Her parents, both educated engineers back in Chengdu, are now working as cashiers and restaurant cooks. She gets a job washing dishes at a Chinese restaurant to help the family survive.

She gets into Princeton on a full scholarship. Her reaction is so disbelieving she asks two different advisors to verify the acceptance letter is real. Then her mom gets sick, so the family opens a dry cleaning shop in Parsippany. Every weekend for seven years, Fei-Fei Li leaves Princeton’s physics department to run the register, handle inspections, talk to customers, manage billing. Monday through Friday: quantum mechanics problem sets. Saturday and Sunday: sorting other people’s laundry. She later called herself the “CEO” of the dry cleaning business. She kept running it remotely through half of her PhD at Caltech.

In 2007, she proposed building an image dataset so massive her own mentor told her she’d taken the idea “way too far.” Pre-ImageNet, the entire AI field was working with datasets containing a few hundred images. She built one with 15 million. Most researchers at the time believed algorithms were the bottleneck. She bet on data when nobody else would.

By 2012, a team ran a neural network on that dataset and halved the existing error rate overnight. AlexNet on ImageNet became the moment the deep learning era started. Every computer vision product shipping today traces its lineage back to that dataset.

Fast forward to 2024. She starts World Labs. Four months in, $230 million raise, $1 billion valuation. Today, $1 billion more at roughly $5 billion.

The bet investors are making: that the woman who gave AI its eyes with 2D image recognition is about to give it spatial awareness of the 3D physical world. Her new model, Marble, generates persistent 3D environments from text or images. Unlike video generators that fake depth frame by frame, Marble creates actual geometric space where objects stay where you left them.

The investor list tells you everything. AMD and NVIDIA both wrote checks. When the two biggest competing chipmakers both fund the same startup, they’re telling you this workload is coming whether their competitor funds it or not. Autodesk put in $200 million and signed on as strategic advisor, which means they see spatial AI integrating directly into CAD and design workflows within 18 months.

From dry cleaner to ImageNet to a $5 billion spatial intelligence company. Fei-Fei Li has now placed two bets that the rest of the field thought were too early and too big. The first one created modern computer vision. The second one is trying to give machines the ability to understand physics.

If she’s right again, this is the last major unlock before embodied AI actually works.

[Treasure Odigie @treasureodigie_]

@Sisinerd Wow. You're a badasss!!!

[Treasure Odigie @treasureodigie_]

Thank you Jesus.

[Neto @docneto]

Being too busy stops you from thinking strategically. If you're doing strategy, you need to reduce the number of busywork you must do. Youn need free time to read, explore, have conversations and ruminate. This is what gives rise to good strategy.

[Sahil Bloom @SahilBloom]

The older I get, the more I realize that most progress won’t feel like progress. Some seasons are about planting seeds you won’t see grow for years. Learn to work without validation. Take pride in it. The world belongs to those who show up even when the rewards are uncertain.

[Take Action! @takeactionD]

…

[Olúwatósìn Olaseinde @tosinolaseinde]

Always get to the finish line. Have the discipline to finish what you have started.

[Treasure Odigie @treasureodigie_]

Last week, I had an epiphany. One so striking that I paused mid-thought, almost startled by my own words.

I had been watching my nieces play from inside the house, seated near the glass doors that overlooked the balcony.

[Treasure Odigie @treasureodigie_]

@abbietayo Fr. It's incredibly hard to do that. I truly salute them.

[Tolani Alli @tolanialli]

If only people knew what waits on the other side of excellence.
Not applause. Not ease.
But doors that only discipline can open.

[Treasure Odigie @treasureodigie_]

Always remember.

[Treasure Odigie @treasureodigie_]

Last week, I had an epiphany. One so striking that I paused mid-thought, almost startled by my own words.

I had been watching my nieces play from inside the house, seated near the glass doors that overlooked the balcony.

[Treasure Odigie @treasureodigie_]

2026 will not just be a year of instructions. It will be a year that tests your obedience. And the outcome of the year will be shaped not by what you hear, but by what you choose to execute.