Machu Pichu

Relax it’s Twitter | Crypto Enthusiast👨🏾‍💻| Seeker 🕯️| Funny Guy | UFC | Part-time coder

[Machu Pichu @bootstrapTayo]

@IamD_EXPRESSION @UnkleAyo What do you think is the reason for the export crash then ?

[Machu Pichu @bootstrapTayo]

@AlfredAlex83066 @IamD_EXPRESSION @UnkleAyo what then is the reason for the export crash ?

[Machu Pichu @bootstrapTayo]

@elsewherelv @acdmma_ hilarious

[Machu Pichu @bootstrapTayo]

@SpiffyMMA @MchaelSNM1 what fight was this ?

[Machu Pichu @bootstrapTayo]

https://t.co/NyuIleQeLp

Little bugs here and there but get in jor !

[Machu Pichu @bootstrapTayo]

So funny how life works.. I had this exact idea for an app. A way to send memories to the future. In fact it was supposed to be cooler in that you could scheldue it up till they are 30+👏 well I’m glad someone else had the same idea

[Machu Pichu @bootstrapTayo]

@TosinOlugbenga Hello Mr Olugbenga I am super interested in your product owners position.

Here is my portfolio website
https://t.co/zQVycSqhvy

So far I have built and managed an event business and I am currently building a SAAS company

[Babájídé @Babajiide]

High agency is your greatest asset when the odds are stacked against you.
Growing up with limited resources teaches you that waiting for perfect conditions means waiting forever. You learn that nobody's coming to save you, not because the world is cruel, but because everyone's fighting their own battles.
High agency means you stop asking "why me?" and start asking "what's next?" It's seeing every constraint as a puzzle to solve, not a wall to stop you. No connections? Build them. No capital? Start where you are. No mentors? Books, podcasts, and observation become your university.
The beautiful paradox: those who start with less often develop more agency. When you've never had a safety net, you learn to build wings on the way down. You become resourceful in ways that privilege can't teach.
Your background isn't your destiny, it's your training ground. Every obstacle you've overcome has been building your agency muscle. The hunger that comes from scarcity, when channeled right, becomes the drive that refuses to accept "that's just how things are."
The path isn't about forgetting where you came from. It's about using that perspective as fuel. You see opportunities others miss because you've learned to create value from nothing.
Agency isn't about denying systemic barriers exist, it's about refusing to let them have the final word on your story.

[Machu Pichu @bootstrapTayo]

@Orunmilaa_ @oxndes @alt_tgbwears See as you pupu on him head 🤣🤣🤣🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@Orunmilaa_ @oxndes @alt_tgbwears He slow gan 🤣🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@Rockyfella_boy 🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@silverranking @thisiselroy @HuntDem876 @bigdaddyfemi 😂😭😭😭

[👑S.A.L.A.K.O🕊 @UnkleAyo]

When they move abroad as immigrants - they make friends based on visa categories. They don't even date below their visa categories. 😂

When they're on Twitter, the reiterate that stratification. small accounts vs big accounts. 💀

I reflect a lot on our ideological design, as a people. Nigerians are morally bankrupt, culturally deficient and rooted in faux elitism.

This is why some markets exist for us, because they can take advantage of that shameless insecurity - and I genuinely don't think the reason is poverty.

I've visited other poor countries. These countries do not see cars beyond what they are, a means a transportation. They don't see restaurants beyond what they are. They don't see dates beyond what they are.

Something fundamentally is wrong with us.

For us, it isn't even enough that we succeed - it is important that other fail, or don't succeed as much as we do. It is important for us to have an edge other others. It is such a sick attitude.

Person A has one house. Person B has two houses. It isn't enough that they both have roof over their heads - Person B innately subclasses Person A.

You should also to hear from a Nigerian gym goer that you're not "man enough" because you don't bench as much as he does. 💀

As segwayed as these analogies are, they are rooted in the same proportionality. It points to the same mental illness.

Who did this to us?

[Machu Pichu @bootstrapTayo]

@Themissingcoin @waslallah151518 @itsSh0la 🤣🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@Mugabemedho @Capt_Jeans @BRICSinfo Very cool comeback

[Machu Pichu @bootstrapTayo]

@hhdswhz @47kasz 🤣🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@NaParko @NaijaEntGallery @Ayoelesho 🤣🤣🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@Kakashi_t4 @chisomholic Be very honest with me @Kakashi_t4 is this real ? I know you’ve said in the past you come up with some of these your uber stories but can you be honest is this one real ?

[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.

[Machu Pichu @bootstrapTayo]

@YSFMMA @danthehangman 🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣

[Machu Pichu @bootstrapTayo]

@wysdeee @endsars_now Shey you guys no dey off your music or how ??