O

Data Pro | Tech & AI | Shipping apps while holding down a 9-5 | Convert any file with:

[O @dimeji_csv]

@nypost Cops are so unhinged 🤣

[O @dimeji_csv]

@Ainebyoona78920

[O @dimeji_csv]

I work hybrid. 5 days in the office and 2 days from home 😂

[L @lamiisaaaa]

A job that requires you to be in the office 4 days a week is NOT hybrid.

[O @dimeji_csv]

Imagine being the guy that missed out on owning the biggest company in the world. I know he regrets selling his Apple stake till this day 😂

[Bull Theory @BullTheoryio]

In 1976, Apple’s third co-founder Ronald Wayne sold his 10% stake in Apple for $800 out of fear the business would fail.

Today it would be worth $455 billion, worth more than Uber, Airbnb, Pinterest, Spotify, Snapchat, Roblox and Reddit combined.

He is now 92 years old and lives in a mobile home off Social Security checks.

[O @dimeji_csv]

@Oluomoofderby @iamSwaga22 They should just send him back to Congo, that’s a death sentence. Don’t waste tax payers money on this piss of shit human.

[O @dimeji_csv]

What’s happening with the SpaceX IPO?

Let’s break it down..

Financial history is literally being rewritten right now. Elon Musk is about to launch the biggest flex of his entire career.

I’m talking about the Megalodon of IPOs. It’s been confirmed that SpaceX is officially going public. They are targeting a June 12th listing on the Nasdaq under the ticker SPCX.

To put into context how massive this is: the high-end estimates are valuing the company at a mind-melting $1.75 trillion. If it hits that target, it won't just be a big IPO, it will be the largest stock market flotation in human history. Saudi Aramco held the previous record at $25.6 billion in 2019. SpaceX is targeting nearly 3x that figure.

Before it goes live, SpaceX is doing a 5-for-1 stock split this week to prep for the debut.

SpaceX shares have only ever been available to ultra-wealthy accredited investors through private platforms, where they’re currently trading at over $630. The 5-for-1 split drops the official share price from $526.59 to $105.32, a deliberate move to make it accessible when it finally hits public markets. Why? Because Elon wants everyday retail investors, meaning you and me to actually be able to buy into the hype on day one without needing a millionaire's bank account.

And here's the detail nobody is talking about: SpaceX has allocated 30% of shares specifically to retail investors. For an IPO this size, that is completely unprecedented. This isn't just a Wall Street play, Elon is deliberately engineering broad public ownership from day one.

Here’s how all of this actually plays out…

For anyone tracking how to actually get in:
• The public S-1 prospectus drops as early as this coming week
• The institutional roadshow kicks off on June 4th
• Pricing is expected around June 11th
• Trading begins June 12th

Usually, when a company goes public, the founders use it as an excuse to cash out, buy a superyacht, and retire. Not Elon. He has explicitly stated he is “not selling a single share” of his own holdings.

He's clearly not doing this to get rich, he's doing this to raise a staggering $75 billion in fresh capital to fund Mars, Starship, Starlink, and space-based AI data centres.

But here’s the ultimate irony…

Remember when I told you about Elon suing Sam Altman because OpenAI is planning a trillion-dollar IPO later this year?

While Elon is in court trying to legally block OpenAI's for-profit conversion, he is literally front-running Sam Altman by launching his own trillion-dollar IPO a few months earlier.

The level of chess being played here is diabolical.

For us regular folks, here’s why you should care…

Up until now, SpaceX has been a private club for ultra-wealthy venture capitalists. On June 12, the doors open to everyone. It is going to completely dominate the news and throw the entire stock market into a frenzy.

So, let's talk strategy:

Are you planning to buy into $SPCX the second it hits the Nasdaq, or do you think a $1.75 trillion valuation for a rocket company is a massive bubble waiting to burst?

Let me know if you're buying or skipping this one! 📈

[O @dimeji_csv]

@WORLDSTAR What a dumbass. Making all that money from OF and still trying to break the law 😂

[O @dimeji_csv]

@LUXURY0RN0THING And the crazy thing is he’s probably influenced a lot of women to get the same procedures done 🤣

[O @dimeji_csv]

Getting unnecessary surgeries and especially to your face will never make sense to me 🤦🏾‍♂️

[Pop Crave @PopCrave]

Karamo Brown reveals to @People he suffers from chronic pain after undergoing buccal fat removal in 2021.

He says the procedure caused scar tissue that blocked a salivary gland, leading to saliva buildup in his face and multiple corrective surgeries.

[O @dimeji_csv]

This post is blowing up on Threads!

[O @dimeji_csv]

Right now, there is a debate happening that is keeping every single person on Wall Street and in Silicon Valley up at night.

And it comes down to one question, is the AI bubble actually bursting, or is this just the beginning?

Because here's the thing. The market right now is completely split down the middle. And both sides have a strong argument.

On one side, you've got people pointing to some genuinely alarming numbers.

Microsoft, one of the biggest AI investors on the planet, recently cancelled their Claude Code licenses.

Why? Because the token costs were astronomical. It was just too
expensive to run at scale.

Then you've got OpenAI's own internal documents leaking, projecting a $14 billion loss in 2026 alone. That's roughly triple what they lost in 2025. And if you zoom out further, they're projecting $44 billion in cumulative losses through 2028. Deutsche Bank went even
further and estimated total losses between 2024 and 2029 could hit $140 billion.

And it's not just OpenAI. Uber burned through their entire $3.4 billion AI budget in four months. Four months. Gone.

So on the surface, yeah it looks bad. The idea that AI software was going to effortlessly replace human labour at basically zero cost? That part of the narrative is getting
absolutely torched right now.

But then, on the exact same day those headlines dropped, something completely contradictory happened.

Chip stocks went on an absolute tear.

The Philadelphia Semiconductor Index, ticker symbol (SOX), which tracks the biggest chip companies in the
world, surged 65% year to date in 2026.

And then, within the same month, three of the biggest memory chip companies on the planet all crossed $1 trillion in market cap.

Samsung hit a trillion on May 6th. Micron hit a trillion on May 26th, after an 18% single day surge. 18% in one day.
SK Hynix crossed a trillion on May 27th.

Three companies. Three trillion dollars. Combined. In one month, this year.

So the question has to be asked: how is a bubble bursting if the companies making the actual hardware are all hitting trillion dollar valuations at the same time?

To understand what's actually going on here, you need to go back to the year 2000.

The dot-com crash.

Because back then, there were two very different types of companies caught up in the same hype cycle.

First, you had the software and web companies. Things like https://t.co/GMBEhVEx0h. Companies with zero real revenue, no sustainable model, just burning cash on the promise of the internet changing everything. When the hype died, they went bankrupt. Done. Gone.

But then you had the infrastructure companies. Companies like Cisco, who were selling the physical routers and fibre optic cables that the internet literally ran on.

They got caught in the crash too, their stock dropped, but the underlying demand for their hardware was real. The internet didn't stop existing just because https://t.co/GMBEhVEx0h went under.

That's exactly the dynamic playing out right now with AI.

The software side: the AI wrapper apps, the tools promising to replace entire departments overnight, that part is feeling real pressure. The economics don't work yet. Enterprise clients are waking up to the reality that running these models at scale is insanely expensive.

But the hardware side is a completely different story.

Here's why the hardware isn't a bubble.

The Big Four hyperscalers: Alphabet, Amazon, Microsoft, and Meta are projected to deploy a combined $725 billion in capital expenditure in 2026 alone.

Let that sink in. $725 billion. In one year. That's a 77% increase over last year's
record of $410 billion.

These are not retail investors buying meme stocks on hype. These are some of the most cash-rich companies on the planet, using their own balance sheets to physically buy up every chip, every server, every data centre they can get their hands on.

1/2

[O @dimeji_csv]

@AIBubblePopYet No it hasn’t. What’s your prediction?

[O @dimeji_csv]

Is AI bubble about to burst?

Microsoft, one of the biggest AI investors on the planet, recently cancelled their Claude Code licenses.

Why? Because the token costs were astronomical. It was just too
expensive to run at scale.

[O @dimeji_csv]

Right now, there is a debate happening that is keeping every single person on Wall Street and in Silicon Valley up at night.

And it comes down to one question, is the AI bubble actually bursting, or is this just the beginning?

Because here's the thing. The market right now is completely split down the middle. And both sides have a strong argument.

On one side, you've got people pointing to some genuinely alarming numbers.

Microsoft, one of the biggest AI investors on the planet, recently cancelled their Claude Code licenses.

Why? Because the token costs were astronomical. It was just too
expensive to run at scale.

Then you've got OpenAI's own internal documents leaking, projecting a $14 billion loss in 2026 alone. That's roughly triple what they lost in 2025. And if you zoom out further, they're projecting $44 billion in cumulative losses through 2028. Deutsche Bank went even
further and estimated total losses between 2024 and 2029 could hit $140 billion.

And it's not just OpenAI. Uber burned through their entire $3.4 billion AI budget in four months. Four months. Gone.

So on the surface, yeah it looks bad. The idea that AI software was going to effortlessly replace human labour at basically zero cost? That part of the narrative is getting
absolutely torched right now.

But then, on the exact same day those headlines dropped, something completely contradictory happened.

Chip stocks went on an absolute tear.

The Philadelphia Semiconductor Index, ticker symbol (SOX), which tracks the biggest chip companies in the
world, surged 65% year to date in 2026.

And then, within the same month, three of the biggest memory chip companies on the planet all crossed $1 trillion in market cap.

Samsung hit a trillion on May 6th. Micron hit a trillion on May 26th, after an 18% single day surge. 18% in one day.
SK Hynix crossed a trillion on May 27th.

Three companies. Three trillion dollars. Combined. In one month, this year.

So the question has to be asked: how is a bubble bursting if the companies making the actual hardware are all hitting trillion dollar valuations at the same time?

To understand what's actually going on here, you need to go back to the year 2000.

The dot-com crash.

Because back then, there were two very different types of companies caught up in the same hype cycle.

First, you had the software and web companies. Things like https://t.co/GMBEhVEx0h. Companies with zero real revenue, no sustainable model, just burning cash on the promise of the internet changing everything. When the hype died, they went bankrupt. Done. Gone.

But then you had the infrastructure companies. Companies like Cisco, who were selling the physical routers and fibre optic cables that the internet literally ran on.

They got caught in the crash too, their stock dropped, but the underlying demand for their hardware was real. The internet didn't stop existing just because https://t.co/GMBEhVEx0h went under.

That's exactly the dynamic playing out right now with AI.

The software side: the AI wrapper apps, the tools promising to replace entire departments overnight, that part is feeling real pressure. The economics don't work yet. Enterprise clients are waking up to the reality that running these models at scale is insanely expensive.

But the hardware side is a completely different story.

Here's why the hardware isn't a bubble.

The Big Four hyperscalers: Alphabet, Amazon, Microsoft, and Meta are projected to deploy a combined $725 billion in capital expenditure in 2026 alone.

Let that sink in. $725 billion. In one year. That's a 77% increase over last year's
record of $410 billion.

These are not retail investors buying meme stocks on hype. These are some of the most cash-rich companies on the planet, using their own balance sheets to physically buy up every chip, every server, every data centre they can get their hands on.

1/2

[O @dimeji_csv]

Young drug lords you know 😂

[London & UK Street News @CrimeLdn]

A north London couple jailed for importing 50kg of cocaine in by Luton airport.

Haydar Miah, 28 and his girlfriend Mengali Freitas, 32, was jailed for on Thursday.

Haydar Miah, 28 was jailed for 17 years & Mengali Freitas, 32, was jailed for 7 years and 6 months.

[O @dimeji_csv]

🎯

[O @dimeji_csv]

Right now, there is a debate happening that is keeping every single person on Wall Street and in Silicon Valley up at night.

And it comes down to one question, is the AI bubble actually bursting, or is this just the beginning?

Because here's the thing. The market right now is completely split down the middle. And both sides have a strong argument.

On one side, you've got people pointing to some genuinely alarming numbers.

Microsoft, one of the biggest AI investors on the planet, recently cancelled their Claude Code licenses.

Why? Because the token costs were astronomical. It was just too
expensive to run at scale.

Then you've got OpenAI's own internal documents leaking, projecting a $14 billion loss in 2026 alone. That's roughly triple what they lost in 2025. And if you zoom out further, they're projecting $44 billion in cumulative losses through 2028. Deutsche Bank went even
further and estimated total losses between 2024 and 2029 could hit $140 billion.

And it's not just OpenAI. Uber burned through their entire $3.4 billion AI budget in four months. Four months. Gone.

So on the surface, yeah it looks bad. The idea that AI software was going to effortlessly replace human labour at basically zero cost? That part of the narrative is getting
absolutely torched right now.

But then, on the exact same day those headlines dropped, something completely contradictory happened.

Chip stocks went on an absolute tear.

The Philadelphia Semiconductor Index, ticker symbol (SOX), which tracks the biggest chip companies in the
world, surged 65% year to date in 2026.

And then, within the same month, three of the biggest memory chip companies on the planet all crossed $1 trillion in market cap.

Samsung hit a trillion on May 6th. Micron hit a trillion on May 26th, after an 18% single day surge. 18% in one day.
SK Hynix crossed a trillion on May 27th.

Three companies. Three trillion dollars. Combined. In one month, this year.

So the question has to be asked: how is a bubble bursting if the companies making the actual hardware are all hitting trillion dollar valuations at the same time?

To understand what's actually going on here, you need to go back to the year 2000.

The dot-com crash.

Because back then, there were two very different types of companies caught up in the same hype cycle.

First, you had the software and web companies. Things like https://t.co/GMBEhVEx0h. Companies with zero real revenue, no sustainable model, just burning cash on the promise of the internet changing everything. When the hype died, they went bankrupt. Done. Gone.

But then you had the infrastructure companies. Companies like Cisco, who were selling the physical routers and fibre optic cables that the internet literally ran on.

They got caught in the crash too, their stock dropped, but the underlying demand for their hardware was real. The internet didn't stop existing just because https://t.co/GMBEhVEx0h went under.

That's exactly the dynamic playing out right now with AI.

The software side: the AI wrapper apps, the tools promising to replace entire departments overnight, that part is feeling real pressure. The economics don't work yet. Enterprise clients are waking up to the reality that running these models at scale is insanely expensive.

But the hardware side is a completely different story.

Here's why the hardware isn't a bubble.

The Big Four hyperscalers: Alphabet, Amazon, Microsoft, and Meta are projected to deploy a combined $725 billion in capital expenditure in 2026 alone.

Let that sink in. $725 billion. In one year. That's a 77% increase over last year's
record of $410 billion.

These are not retail investors buying meme stocks on hype. These are some of the most cash-rich companies on the planet, using their own balance sheets to physically buy up every chip, every server, every data centre they can get their hands on.

1/2

[O @dimeji_csv]

Right now, there is a debate happening that is keeping every single person on Wall Street and in Silicon Valley up at night.

And it comes down to one question, is the AI bubble actually bursting, or is this just the beginning?

Because here's the thing. The market right now is completely split down the middle. And both sides have a strong argument.

On one side, you've got people pointing to some genuinely alarming numbers.

Microsoft, one of the biggest AI investors on the planet, recently cancelled their Claude Code licenses.

Why? Because the token costs were astronomical. It was just too
expensive to run at scale.

Then you've got OpenAI's own internal documents leaking, projecting a $14 billion loss in 2026 alone. That's roughly triple what they lost in 2025. And if you zoom out further, they're projecting $44 billion in cumulative losses through 2028. Deutsche Bank went even
further and estimated total losses between 2024 and 2029 could hit $140 billion.

And it's not just OpenAI. Uber burned through their entire $3.4 billion AI budget in four months. Four months. Gone.

So on the surface, yeah it looks bad. The idea that AI software was going to effortlessly replace human labour at basically zero cost? That part of the narrative is getting
absolutely torched right now.

But then, on the exact same day those headlines dropped, something completely contradictory happened.

Chip stocks went on an absolute tear.

The Philadelphia Semiconductor Index, ticker symbol (SOX), which tracks the biggest chip companies in the
world, surged 65% year to date in 2026.

And then, within the same month, three of the biggest memory chip companies on the planet all crossed $1 trillion in market cap.

Samsung hit a trillion on May 6th. Micron hit a trillion on May 26th, after an 18% single day surge. 18% in one day.
SK Hynix crossed a trillion on May 27th.

Three companies. Three trillion dollars. Combined. In one month, this year.

So the question has to be asked: how is a bubble bursting if the companies making the actual hardware are all hitting trillion dollar valuations at the same time?

To understand what's actually going on here, you need to go back to the year 2000.

The dot-com crash.

Because back then, there were two very different types of companies caught up in the same hype cycle.

First, you had the software and web companies. Things like https://t.co/GMBEhVEx0h. Companies with zero real revenue, no sustainable model, just burning cash on the promise of the internet changing everything. When the hype died, they went bankrupt. Done. Gone.

But then you had the infrastructure companies. Companies like Cisco, who were selling the physical routers and fibre optic cables that the internet literally ran on.

They got caught in the crash too, their stock dropped, but the underlying demand for their hardware was real. The internet didn't stop existing just because https://t.co/GMBEhVEx0h went under.

That's exactly the dynamic playing out right now with AI.

The software side: the AI wrapper apps, the tools promising to replace entire departments overnight, that part is feeling real pressure. The economics don't work yet. Enterprise clients are waking up to the reality that running these models at scale is insanely expensive.

But the hardware side is a completely different story.

Here's why the hardware isn't a bubble.

The Big Four hyperscalers: Alphabet, Amazon, Microsoft, and Meta are projected to deploy a combined $725 billion in capital expenditure in 2026 alone.

Let that sink in. $725 billion. In one year. That's a 77% increase over last year's
record of $410 billion.

These are not retail investors buying meme stocks on hype. These are some of the most cash-rich companies on the planet, using their own balance sheets to physically buy up every chip, every server, every data centre they can get their hands on.

1/2

[O @dimeji_csv]

Winning in AI right now doesn't just mean having the smartest algorithm.
It means having the deepest pockets to buy the concrete, the silicon,
and the electricity.

And this week, Google just loaded up an $80 billion war chest to make
absolutely sure they don't lose.

[O @dimeji_csv]

Is the AI bubble actually bursting, or is this just the beginning?

[O @dimeji_csv]

@mputhiakunnel I think AI adoption by the masses has been slower than predicted. And for businesses, token cost vs productivity gain is a different story.

[O @dimeji_csv]

Is the AI bubble actually bursting, or is this just the beginning?

[O @dimeji_csv]

Winning in AI right now doesn't just mean having the smartest algorithm.
It means having the deepest pockets to buy the concrete, the silicon,
and the electricity.

And this week, Google just loaded up an $80 billion war chest to make
absolutely sure they don't lose.