kasper

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

BILLIONS OF PERSONAL AI AGENTS
WITHIN 5 YEARS?

A year after this video, Zuckerberg says billions of people could have personal AI agents working for them 24/7 within five years.

They could help with your goals, finances, health, relationships, and daily life.

The next platform may not be an app. It may be an agent.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Elon Musk thinks work will become optional.

His comparison is oddly convincing: growing tomatoes at home. You can buy better ones at the store, but people still garden because they enjoy it. In his version of the future, AI and humanoid robots handle the necessary work while humans keep doing things for meaning, craft or fun.

The transition is where this gets uncomfortable. People have bills long before abundance arrives, and entire careers could disappear faster than society can adapt.

The garden sounds nice. The road there could be brutal.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Elon Musk just gave money an expiration date: 2036.

His argument is simple. If AI and robots can produce more food, housing, transport and entertainment than anyone could consume, money loses its purpose.

Then comes the uncomfortable follow-up. Who owns the robots, and will humans still be in control?

Musk's answer is surprisingly blunt: probably not.

A world without scarcity sounds incredible. Reaching it without concentrating enormous power in a handful of companies may be the harder problem.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

The robot apocalypse started with your spot on the couch.

No lasers. No dramatic takeover. Just a humanoid gripping a phone, scrolling through videos and looking disturbingly comfortable.

That is what makes this clip so strange. A machine acting like a machine feels normal. A machine wasting time exactly like us feels personal.

Today it replaced you during screen time.

Tomorrow, it might replace you during working hours too.

[kartiseira @Abobsterina]

https://t.co/k9JsGIpS3J

[kasper @casper_calls]

Bezos vs. Musk just moved into orbit.

Amazon filed to deploy up to 5,105 satellites that could beam calls, texts, data and emergency services straight to your phone, with no cell tower.

Deployment starts in 2028.

Starlink finally has a serious challenger. Who owns the sky?

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Everything around you was made by people no smarter than you.

In a 1994 interview, Steve Jobs said most people grow up treating life like a finished product. Stay inside the lines. Don't hit the walls too hard. Build a comfortable life and save some money. He thought that was a very limited way to live.

Every rule, product, company, and system we treat as permanent started as someone's decision. The people who made them weren't necessarily smarter than you. You can question their decisions, build something of your own, and fix what doesn't work.

That idea doesn't require anyone to build the next Apple. It starts with a much smaller habit: stop mistaking the status quo for a law of nature.

The next time something feels badly designed, ask who decided it had to be that way.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

A GUY CREATED AN AI INFLUENCER AND TURNED HER INTO A BUSINESS

He designed a fictional adult character with the same face, voice, style, and personality in every video.

Each clip feels like a casual selfie. Behind it is a content system that can produce new locations, outfits, and stories without a camera crew or studio.

The audience can be monetized through brand deals, affiliate links, subscriptions, digital products, and character licensing.

How to build your own:

Create an original adult character. Define her appearance, personality, interests, and backstory. Never copy a real person.

Generate a reference pack with consistent facial features, outfits, angles, and lighting.

Animate short clips with natural expressions, clean lip sync, and simple selfie-style movement.

Post recurring formats like outfit checks, daily routines, reactions, POV videos, and mini stories.

Once people care about the character, introduce relevant offers and clearly disclose that she is AI-generated.

Random AI faces disappear in the feed. A consistent character can become a real media brand.

[kartiseira @Abobsterina]

https://t.co/k9JsGIpS3J

[kasper @casper_calls]

ELON MUSK’S BILLIONS AREN’T SITTING IN A BANK ACCOUNT.

That massive number you see in Forbes is mostly the estimated value of his ownership in Tesla and SpaceX — not a mountain of cash ready to spend.

When Musk needs liquidity, he says he borrows against his shares. That money then goes back into Tesla and SpaceX or helps fund projects like Neuralink and The Boring Company.

He even mentions having roughly $100 million in debt against those assets.

This is the billionaire playbook most people never see:

Own valuable assets.
Borrow against them.
Keep control.
Reinvest without selling.
The headlines track net worth.
The real game is capital allocation.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

NVIDIA’s turnaround started with three textbooks.

At Startup School 2026, Jensen Huang admitted that the technology NVIDIA was originally built around wasn’t just imperfect — it was “exactly wrong.”

The product didn’t work, dozens of competitors were entering the market, and the team didn’t even know how to build the right solution.

So Jensen took a few hundred dollars, bought three textbooks on OpenGL, and handed them to his engineers.

They learned their way out of the crisis — and went on to reinvent computer graphics.

Key moments:

02:43 — NVIDIA’s original algorithm was “exactly wrong.”

03:40 — Jensen buys three textbooks to help save the company.

08:32 — He tells Sega that NVIDIA can’t deliver the project — but still needs the money.

09:29 — Sega’s $5 million gives NVIDIA enough time to survive.

46:47 — The entrepreneurial mindset: “How hard can it be?”

47:44 — Jensen calls learning the greatest superpower.

Your first idea can fail.
Your technology can be wrong.
Your plan can fall apart.
But if you face reality early, learn faster than the market changes, and keep moving, the mistake doesn’t have to become the ending.
Being right from day one isn’t the superpower.

Learning is.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Watching Mark Zuckerberg testify before Congress feels like two different centuries trying to connect over bad Wi-Fi.

Lawmakers ask how Facebook makes money. Zuckerberg pauses, blinks, and explains: ads. The room laughs, but the real story is less funny. The people responsible for regulating one of the world’s most powerful platforms are still trying to understand how it works — while the platform already understands its users in extraordinary detail.

The awkward questions make great clips. The knowledge gap behind them should make everyone uncomfortable.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Warren Buffett built one of the greatest fortunes in history, yet his definition of success has nothing to do with money.

The real test comes later in life: how many of the people you want to love you actually do.

Money can buy comfort, access, and freedom. It can’t buy genuine affection, loyalty, or respect. You can win every financial game and still lose the part that matters most.

Build wealth, but build relationships too. In the end, the richest life isn’t measured by what you own — it’s measured by who still wants to share it with you.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Jeff Bezos didn’t just win capitalism — he completed every side quest, bought the entire map, automated the NPCs, and turned the final boss into a Prime subscriber.

Zuckerberg built social media. Gates built Microsoft. Bezos built an empire that delivers everything from phone chargers to groceries while casually launching rockets on the side.

At some point, he stopped playing the game and became the game.

Now he’s standing at the top of the billionaire leaderboard, smiling like your free trial is about to expire.

Jeff Bezos: the final boss of capitalism. 💸📦🚀

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

THIS IS THE MOMENT WEB DESIGN STOPPED BEING STATIC.

At first, it looks like a simple particle experiment.

Then the core starts breathing.

The light expands, thousands of particles break formation, and the entire interface transforms into a galaxy-like ring.

Claude built the whole experience from a conversation.

What used to require a motion designer, a creative developer, and two weeks of iteration can now start with one person describing how the screen should feel.

This changes everything.

Soon, people won’t judge websites by how clean they look. They’ll judge them by how alive they feel.

Static UI had a good run.

[kartiseira @Abobsterina]

https://t.co/k9JsGIpS3J

[kasper @casper_calls]

Elon Musk just gave one of his most emotional speeches ever.

He admitted there were moments he thought SpaceX wouldn’t survive.

Not because of competition.

Because failure was a real possibility.

But then he explained why he kept going:

“The future has to be something you’re excited to wake up for.”

For Musk, that future isn’t another social media app.

It’s making humanity multiplanetary.

Sometimes the biggest companies in the world are built by people who refuse to give up when everyone else already has. 🚀

Elon Musk just gave one of his most emotional speeches ever.

He admitted there were moments he thought SpaceX wouldn’t survive.

Not because of competition.

Because failure was a real possibility.

But then he explained why he kept going:

“The future has to be something you’re excited to wake up for.”

For Musk, that future isn’t another social media app.

It’s making humanity multiplanetary.

Sometimes the biggest companies in the world are built by people who refuse to give up when everyone else already has. 🚀

[Solana Gamble @SolanaGambe]

https://t.co/2XRKux4mwG

[kasper @casper_calls]

A rare and refreshingly candid interview with Google co-founder Sergey Brin—on returning to work, the explosive progress of AI, robotics, and the future of education.

Brin says he’s back in the office, running experiments, and even submitting code again. In his view, today’s AI progress dwarfs everything the tech industry has experienced over the past 30–40 years.

Key timestamps:

00:41 — Sergey Brin’s return to Google
01:12 — the OpenAI employee who inspired his comeback
03:57 — why Google’s co-founder is writing code again
05:59 — from prompting to Deep Research
06:40 — AI’s real superpower
08:21 — why models perform better when “threatened”
09:27 — raising and educating children in the AI era
11:11 — will traditional college education survive?
12:23 — robotics and the humanoid form factor
20:06 — the future of human-computer interaction
22:48 — AI as a manager—and spotting employees who deserve promotion
24:20 — infinite context for AI
29:34 — the Gemini model Brin recommends using
The central takeaway: AI becomes truly transformative when it doesn’t merely save a few minutes, but completes a week’s worth of human work in minutes.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

A billionaire spent nearly 40 years trying to erase a 58-minute film.

Not because it exposed a crime.

Because it showed exactly how he made $100 million in a single afternoon.

The film was Trader.

Shot in 1987, it followed 32-year-old Paul Tudor Jones as he managed $125 million with just 22 employees.

The cameras captured everything:

Lucky Bruce Willis sneakers.
Two phones pressed to his head.
A $6 million loss before 4 PM.
And one chart that predicted disaster.
Jones’ economist had manually entered thousands of Dow prices from the 1920s into a computer, then compared them with the 1980s market.
The correlation was 92.2%.
According to the chart, Wall Street was reliving August 1928.

A crash was coming.

Seven months after filming, Black Monday arrived.

On October 19, 1987, the Dow collapsed 22.6% in a single day.

Jones was short.

His fund returned 125% that year. His personal cut was reportedly around $100 million.

He became a Wall Street legend before turning 33.

Then he tried to make the film disappear.

PBS aired it once. Jones later acquired the rights and pulled it from circulation.

When VHS copies surfaced, he reportedly offered $1,000 apiece to buy them back. When the film appeared online, lawyers chased it with takedown notices.

Why bury the footage of your greatest victory?

Because Trader didn’t show a flawless billionaire executing a master plan.

It showed a young man screaming into two phones, guessing, losing millions, trusting lucky shoes—and somehow being right when it mattered most.

Jones didn’t bury his failure.

He buried the evidence of how messy winning really looked.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

Tesla just sold a record number of cars.

And investors still weren’t impressed.

The company delivered around 480,000 vehicles in the latest quarter and generated $28.24 billion in revenue.

But profit came in below expectations.

Why?

Because Elon Musk is pouring billions into:

Artificial intelligence
Robotaxis
Tesla’s own chips
Optimus humanoid robots

Tesla’s research spending reportedly jumped by nearly 50%.

This reveals the real bet Musk is making.

He no longer wants Tesla to be valued as a car manufacturer.

Car companies operate on thin margins, fight for market share and depend on factories.

AI companies sell software, automation and intelligence at enormous scale.

Tesla’s cars are becoming the cash engine funding that transition.

The vehicles generate revenue today.

The cameras collect real-world data.

The factories train Optimus.

The chips power autonomous systems.

And the robotaxi network could eventually turn every Tesla into a revenue-producing machine.

Wall Street sees falling profit margins.

Musk sees the infrastructure for one of the largest AI and robotics companies on Earth.

The biggest risk is that he burns billions chasing promises that never fully arrive.

But if even one of these bets works at scale, Tesla may stop being a car company entirely.

[kasper @casper_calls]

https://t.co/ztHuZucL5X

[kasper @casper_calls]

THIS GUY SAYS HE MAKES $28,567/MONTH FROM FACELESS YOUTUBE SHORTS — WITHOUT EVER TOUCHING A CAMERA.

His workflow is almost ridiculously simple:

He finds channels already pulling millions of views.

Then he studies their best-performing Shorts:

The opening hook
The topic
The pacing
The story structure
The editing style
The reason people keep watching
Next, he gives the concept to Claude and asks it to create a completely new script using the same proven structure.
He pastes the script into an AI video generator, adds an AI voiceover, captions, background music and uploads the finished Short.
No camera.
No microphone.
No expensive production team.

According to him, one of these videos generated more than $2,000 in revenue.

But the real opportunity isn’t producing more content.

It’s identifying content that has already proven it can capture attention — and rebuilding the concept faster, cheaper and at scale with AI.

Most people spend weeks trying to invent the next viral idea.

Smart creators study what is already working, understand why it works and create a better version before everyone else notices the trend.

AI doesn’t guarantee views.

But it can turn one person into an entire content production team.

Researcher.
Scriptwriter.
Voice actor.
Editor.
Caption writer.
Publisher.

The creators who learn how to combine proven ideas with fast execution will dominate faceless content.

You don’t need to be original from zero.

You need to recognize patterns, add your own angle and move faster than everyone else.

[kartiseira @Abobsterina]

https://t.co/k9JsGIpS3J

[kasper @casper_calls]

THE GHOST WORKS WHILE YOU SLEEP

Your Obsidian vault is a museum. Beautiful 3D graph. Zero output. You built a gallery and called it a second brain.

This founder did the opposite.

He mapped his whole business into the graph. Clients. Outreach. Content studio. Revenue. Then he let the nodes talk.

New lead hits the vault. Outreach node fires. Client pipeline moves. Ops gets pinged. Revenue dashboard updates itself.

No ten tabs. No SaaS stack bleeding you monthly. One living network running your operations in the background.

The flex was never a big team.

It is architecture so tight you watch your business scale in 3D while the nodes light up on their own.

You are not taking notes anymore. You are overseeing an organism.

[DegenCalls @Degen_calls_sol]

https://t.co/4qH7MeVnA4