When you start making good money, save it. Especially in the beginning. Save as much as you can. You'll desire things. New car, new watch, designer clothes to show the world you made it. And dumb philosophies will try to justify it. YOLO, life is short. Don't pay attention. Don't change anything. Save for a few years. And one day you'll notice, the urgency is gone. The anxiety... gone. You go to a restaurant, and you stop looking at the right side of the menu. You plan a holiday and you don't wait 3 weeks for cheap flights. Someone made you an offer that doesn't feel right, and you say no without thinking twice. That's what happens when you overcome instant gratification. It will give you peace to move at your own pace. A little patience, that's all you need. And it will give you something that no material object can ever match: a calm nervous system.
ANDREJ KARPATHY COULD HAVE CHARGED $2,000 FOR THIS COURSE.
He put it on YouTube.
The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.
3 hours of the most comprehensive LLM education that exists anywhere at any price.
Not how to use the tools.
How the entire system was built from the ground up and why it behaves the way it does.
The engineers who understand this build things the ones who only use the tools cannot even conceive of.
The gap between those two groups is not 3 hours.
It is everything those 3 hours quietly unlock for the rest of your career.
“No president should mock Islam; that’s not your job.”
Political commentator and journalist Tucker Carlson criticised US President Donald Trump for mocking Islam in his latest social media post, saying that it is an “intentional desecration of beauty and truth, which is the definition of evil”
#Trump #USA #Islam @TuckerCarlson
The era of the one-person $1B company is here.
This is how you structure your team of AI agents:
- Engineering: code, testing, DevOps
- Design: UI/UX, brand assets
- Marketing: content, SEO, social
- Sales: lead gen, outreach, demos
- Support: tickets, docs
- Data: metrics, analysis
1 founder.
6 agent departments.
0 employees.
Slow. Then all at once.
Mark Zuckerberg just argued that AI will force companies to hire more people.
Not fewer.
Three and a half billion people use Meta every day.
Not one of them has a phone number to call.
Mark Zuckerberg: “It’s clearly just going to automate jobs and like all these jobs are going to go away… that has not really been how the history of technology has worked.”
The entire media cycle runs the same story. AI replaces workers. Industries hollow out. The human becomes unnecessary.
History has never once cooperated.
Voice support for 3.5 billion daily users costs between ten and twenty billion dollars a year. The math made it untouchable. So Meta never built it.
AI changed the math.
Zuckerberg: “Let’s say the AI can handle 90 percent of that… you’ve gotten the cost of providing that service down to one 10th.”
A service that could not exist becomes standard. Overnight.
The moment it goes live, the edge cases arrive. The escalations. The problems no model can close alone. Every one needs a human on the other end.
Zuckerberg: “I actually think we’re probably going to go hire more customer support people.”
The AI did not kill the jobs.
It unlocked a service so vast the company now needs people it never would have hired.
When execution costs crater, companies do not pocket the savings.
They go after problems they could never afford to touch.
New markets. New products. New services that were economically impossible twelve months ago.
Every one creates roles that did not exist before the machine arrived.
The people terrified of automation are tracking the wrong number.
They count the jobs that disappear.
They have no framework for the ones that haven’t been invented yet.
Most WFM tools look great… until real operations hit.
I built 6 tools to solve actual problems in forecasting, capacity planning, and intraday management.
Here’s what I learned 👇
https://t.co/DtMF3arkWo
The most valuable skill of the next decade is being able to articulate what you want to an AI. Which means: thinking in steps, speaking with precision, and knowing what "good" looks like before you ask for it.
Jensen Huang: "If I have a choice between a new college graduate with no clue what AI is and one that is expert in using AI, I would hire the one who's expert in using AI. Accountant, marketing, supply chain, lawyer, salesperson. Every single time."
Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving.
Dead.
Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.”
This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it.
For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint.
That entire layer is gone.
Ellison: “We don’t write the procedure. We declare our intent.”
That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable.
And now the machine does it without being asked twice.
Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.”
You are no longer paid to build. You are paid to think.
And most organizations have no idea how to evaluate that.
The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds.
When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down.
The debate is over.
The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone.
The programmers who survive are the ones who realize the craft is no longer typing.
It is architecture. It is judgment. It is knowing what to build and why.
Everything else now belongs to the machine.
And the machine does not negotiate severance.
OpenClaw is the single most important software release ever
It is critical you use it to its max potential
In this video I cover EVERY aspect of OpenClaw you need to know
From set up to use cases to local models. EVERYTHING
This is the only OpenClaw video you'll ever need:
I'm about to make AI stupidly simple for you.
This is ALL you need. Stop overcomplicating it.
1. ChatGPT: your everything model, daily driver
2. Gemini: image/video generation + anything Google-ecosystem related (think: Docs, Slides, Gmail, etc.)
3. Claude: your creative genius + Cowork (writing, coding, marketing, strategy)
4. Manus: the easiest way to automate simple tasks (email management, research, etc.)
5. Perplexity: best for data research (think: financial modeling, deep research)
That's all.