You dont want a yacht. You dont want a big house. You dont want a super car, a $40,000 watch, or shoes you worry about getting dirty. You want free will.
You want to wake up naturally on a Tuesday and you want to go to bed when you’re done having fun. You want to say yes to everything that excites you without having to request time off. You want to go to the the gym at noon, in absolutely no hurry. You want to spend 18 hours a day doing what you love. You want to be exactly where you desire being, always. You want to spend as much time with the people you care about as possible.
You’re saying you wanna be rich? In what?
Mark Cuban just described the largest wealth transfer of the AI era.
Almost nobody understood what he said.
Cuban: “There are 33 million companies in this country. Aren’t going to have AI budgets. Aren’t going to have AI experts.”
Not tech startups.
The shoe store. The regional trucking outfit. The accounting firm with 12 employees.
The businesses that actually run the physical economy.
They know AI is coming. They have no idea what to do with it.
Cuban: “You’ve got the head of Microsoft saying software is dead because everything’s going to be customized to your unique utilization.”
Software is dead.
The SaaS era ran on one rule. Build a generic product. Force millions of companies to bend their workflows around it. Charge rent forever.
AI ends the contract.
The business stops bending to the software. The intelligence bends to the business.
But customized by whom.
The third-generation manufacturer cannot tell Claude from Gemini. The county hospital is staring at a reactor asking where the light switch is.
Cuban: “Who’s going to do it for them?”
That question is worth more than the frontier models themselves.
Hundreds of billions are being burned to build the foundation. The smartest engineers alive are locked in a bloodbath over who owns the base layer.
Let them fight.
Let them burn the capital. Let them drive the cost of raw intelligence toward zero.
Because the wealth does not collect where the brain is built.
It collects where the brain meets the business.
Every ambitious kid in college right now thinks survival means a seat at OpenAI or Anthropic.
Cuban is staring at the other 99 percent of the economy.
Learn the models. Then learn the messy, unglamorous reality of how a 50-person company actually operates.
Walk through the door. Understand their problems. Wire the intelligence directly into their revenue.
That is not a job title. That is an entire economic class being born.
You do not need to build the brain. You need to build the nervous system.
The biggest winners of the electricity era were not the engineers who built the generators. They were the ones who walked into dark factories and showed the owners where to plug in.
33 million companies are standing in the dark right now.
Silicon Valley is racing to build the god. The fortunes will belong to whoever teaches him a trade.
I don’t think people realize how much healthcare costs are driving big companies to fire and not hire.
It costs them $30k per family, per year for premiums and care. Most of that goes to the massive, vertically integrated insurance companies that send weekly bills that no one reviews in details. And it doesn’t include the company overhead to deal with it all. It’s usually the 2nd largest expense after payroll. Which is insane
It’s far easier to blame AI than it is to blame Healthcare costs.
Want to increase jobs, wages and improve affordability for every American ?
Break up the biggest insurance companies. Make divest non insurance companies. They don’t need thousands of subsidiaries. That’s how they game and abuse the system and increase costs for all of us.
Call your senator and tell them to support the BreakUp Big Medicine Bill by @HawleyMO and @SenWarren.
There was a time when I heard about bikeshedding for the first time. As obvious as the behavior was, I didn't know there was a term for it.
So if you don't know, it's time to know, because building with AI makes it 100x worse than it's ever been:
https://t.co/gHpOS088YI
Marc Benioff just exposed the biggest hypocrisy in the AI boom.
The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers.
Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.”
Let that land.
The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete.
Still buying traditional software. At scale.
Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.”
Not because they haven’t tried.
Because an LLM is not a foundation. It’s a feature.
Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.”
The analysts writing reports about fully autonomous AI companies have never had to run one.
Benioff is running one of the largest enterprise software companies on earth.
The gap between those two perspectives is where billions of dollars are being misallocated.
Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?”
A neural network that hallucinates cannot execute a financial transaction that has to be right every single time.
Cannot secure customer data with zero tolerance for error.
Cannot provide the determinism that every real business runs on.
Benioff: “We need the determinism, and the programmability, and the security, and the sharing.”
AI doesn’t replace those requirements. It sits on top of them.
Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.”
The future isn’t AI replacing software. It’s AI making software exponentially more powerful.
The smartest people building the future already know this.
They’re the ones still buying the software.
You have two choices in creating investing commentary.
1. Offer sound financial advice that helps people make money over the long run, but you’ll have a smallish audience.
2. Scare everyone, lose them money consistently, but in return you get a huge audience.
This 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file will make you 10x engineer 👇
It combines all the best practices shared by Claude Code creator:
Boris Cherny (creator of Claude Code at Anthropic) shared on X internal best practices and workflows he and his team actually use with Claude Code daily. Someone turned those threads into a structured 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 you can drop into any project.
It includes:
• Workflow orchestration
• Subagent strategy
• Self-improvement loop
• Verification before done
• Autonomous bug fixing
• Core principles
This is a compounding system. Every correction you make gets captured as a rule. Over time, Claude's mistake rate drops because it learns from your feedback.
If you build with AI daily, this will save you a lot of time.
I love everything about this. Every word, every ounce of pissedoffidness, every moment of deep respect for space and feeding enough fresh air so experiments can air out… David Lynch knew how to be upset about the right things, and leave the rest alone.
TLDR: The magic of Compound Engineering in @claudeai Code... building a X/Twitter (interface) clone in 20 mins. A massive game changer for me. (watch at 2x)
Just got off the phone with an ambitious, smart 25 year old who asked for a career consult session.
The main thing I said over and over again:
-------> Get technical <-------
Learn how LLMs actually work.
Build a simple real-world product on top of the APIs and ship it.
Don't be one of the people who say "I can't code".
All those folks are getting laid off or will be.
Everyone said coding agents = you no longer need to code.
It's the exact opposite.
The devs are going to control the world even more than before.
Become a dev.
I’m going to show you how *incredibly easy* it is to add some AI-magic to the search bar in your sites & apps in 2025 using @typesense.
Say you’re building a cars site & you have a search bar on top. You have cars. Cars have attributes. You have well structured data like make, model, color, year, hp, mileage, etc. Cool.
Along comes a user & types this into your search bar:
“A black SUV with less than 30K miles in Houston for less than 20K”.
☠️🫣
If you’ve built any kind of search experience you probably know how hard it is to map free-form text like that to specific attributes in your dataset.
Like how do you know that 20K is talking about cost, and black is talking about the overall color and not the color of the seats, and then account for the zillion other ways your users can write the same query?
If you haven’t encountered this, let me tell you that it is HARD to use simple full-text search or even fancy semantic search or hybrid search to pull this off.
Traditionally you’d have to train and build what’s called intent detection ML models to do this well.
Ain’t nobody got time for that! 🤓
Enter @Typesense - an open source, cutting edge, light-weight alternative to Elasticsearch / Algolia.
As of v29.0, it now has a built-in feature that cleverly uses the magic of LLMs, to parse your users’ queries, and convert them automatically into a set of filters and sorts, and then executes that query and returns results.
So in our example “A black SUV with less than 30K miles in Houston for less than 20K” gets converted by Typesense automatically into this search query:
Notice how the free-form user query was correctly mapped to the attributes and values in our cars dataset under the hood.
It’s literally one API call to Typesense, to make this magic work:
The curl request will return results like this:
And you’d display those results in your UI.
That’s it. What used to take teams of ML experts, is now one API call away. No PhD required.
You now have an AI-powered search bar that’s ready for the most brazenly complicated user queries.
How about this one:
No problemo!
That get's translated to: 🪄
```
filter_by: "transmission_type:AUTOMATIC"
```
(Only 4 images per tweet, so only text for that one)
Even though `transmission_type` only has
- `Automatic` and
- `Manual`
across all records, Typesense is able to automatically convert the user’s intent in “I don’t know how to drive shift” to the fact that we should only show them vehicles with automatic transmission.
Easy-peasy.
Here’s a step-by-step guide on how to implement Natural Language Search in your own sites and apps:
https://t.co/KUgjTQ9weB
Content is marketing. Period.
The hot take:
Imperfect grammar was once a sign of an unintelligent person behind a screen.
Now, imperfection signals authenticity.
It’s the sign of a REAL human, in a world craving REAL connection more than ever.
A high probability imperfection creates MORE trust.
Wild, but true.