666cute

Crypto + AI genius
DYOR

[dimaflexx @dimoflexx]

THE BRITISH GOVERNMENT ADMITTED IN COURT THAT THE ONLINE SAFETY ACT HAD NOTHING TO DO WITH PROTECTING CHILDREN

Read that again.

Publicly: protect children.

Privately: something else entirely.

In their submission to the High Court of England - published last year - the British government said:

The principal part of the Online Safety Act had nothing to do with protecting children.

Their actual goal?

And I quote:

"Capturing large platforms with significant influence over public discourse."

They used children as the headline.

Control over political speech was the product.

This isn't speculation.

This is from a government court submission.

And this is the same justification used by authoritarian regimes for over a century.

Because once someone says "protect the children" - logic stops.

Debate stops.

Rationality stops.

Who could be against protecting children?

So you give up everything.

And they smuggle repressive legislation through the side door.

The European Commission is running the same playbook right now.

It's called Chat Control.

5 years of trying to force every messaging app to install a backdoor into their encryption.

Every private message.

Every private photo.

Automatically monitored.

Justification: protect the children.

Most people hear "child protection" and stop thinking.

A smaller group reads the court documents.

Bookmark this before you stop thinking too.

[dimaflexx @dimoflexx]

THOUSANDS OF PEOPLE ARE BEING ARRESTED EVERY YEAR IN THE UK FOR SOCIAL MEDIA POSTS AND MOST PEOPLE DON'T KNOW IT

Not in Russia.

Not in China.

In the United Kingdom.

You post something politically incorrect online.

You get fined.

Or you go to prison.

In Germany - the largest country in the EU - you call a politician a bigot online.

Up to 3 years in prison.

So people stopped using their real names.

Then the European Commission pushed for something worse:

Require ID verification before accessing any social media site.

Their reason? Protect the children.

So Russia tried that. They banned Telegram for all citizens.

Same justification.

What happened?

95% of Russian teenagers still use Telegram every month.

Via VPN.

Russia spent billions fighting VPNs.

Installed surveillance hardware in every data center.

Banned hundreds of VPNs every month.

They failed.

The majority of Russia still uses Telegram.

The majority of Iran still uses Telegram.

Banned since 2018.

So we already know what happens when you ban social media.

People switch to VPN.

And VPNs unlock everything the ban was supposed to block.

The children end up in more danger than before.

Most people think these laws protect them.

A smaller group is watching the pattern repeat.

Same method.

Different country.

Different decade.

Bookmark this before it reaches your country.

[dimaflexx @dimoflexx]

PAVEL DUROV OPENED HIS SPEECH WITH A METAPHOR MOST PEOPLE AREN'T READY TO HEAR

Passengers on the Titanic didn't want to leave the ship.

For almost 2 hours after it hit the iceberg.

They thought it was unsinkable.

Lifeboats left half empty.

Only in the last 30 minutes did people start to panic.

By then it was already too late.

Nowhere to hide.

Nowhere to run.

Durov stood on stage and said:

We are in the same situation right now.

Our ship has already hit the iceberg.

We have already started to sink.

Without even realizing it.

He's not talking about tech companies.

He's talking about the ship of our personal freedoms.

Personal freedoms have been eroded everywhere in the world.

Almost without exception.

Most people think freedom is the default.

Something that exists until it doesn't.

A smaller group is watching the lifeboats disappear in real time.

The ship is sinking.

The question is whether you'll be the one who panics too late.

Or the one who acts now.

Bookmark this before the metaphor becomes a reality check.

[666cute @666cutw]

@dimoflexx the interesting thing about digital freedom is that everyone supports it until convenience asks for a tradeoff

[dimaflexx @dimoflexx]

https://t.co/Tt7MfQuyDr

[666cute @666cutw]

@dimoflexx the hardest part was probably getting the first view, not building the store

[dimaflexx @dimoflexx]

THIS 19-YEAR-OLD OPENED THE HERMES SETUP WIZARD AND ACCIDENTALLY REVEALED WHERE MOST AI COSTS ACTUALLY COME FROM

Not the model.

Not the prompts.

The layer underneath.

The place where the agent runs.

It looks boring.

Until you realize that's where the economics are decided.

Most people leak money in tiny increments:

$20 for Claude.

$30–70 in API usage.

$25–50 for automation tools.

$99 for an agent wrapper.

Then even more every time a workflow breaks and needs another service.

It doesn't feel expensive.

Until you add it up.

Hermes changes the equation.

Set it up once.

Connect a model once.

Run the same category of work through the same agent.

Then let repeated tasks become reusable skills instead of paying tokens to explain the same process every morning.

That's where the leverage comes from.

Not "free AI."

Workflow memory.

Most people focus on the model layer.

A smaller group is focusing on the infrastructure layer.

Because whoever controls the provider, the memory, the skills folder, and the workflow controls the economics.

That's what makes Hermes interesting.

Not that it runs on a laptop.

But that it turns AI from something you rent into something you own.

And over time, that difference compounds.

Bookmark this before workflow ownership becomes the default. 👇

[dimaflexx @dimoflexx]

Demis Hassabis said something most people completely misunderstood:

"One person who understands AI will outperform an entire startup team."

Most founders heard that and started chasing better prompts.

That wasn't the point.

The people pulling ahead aren't getting better at asking AI questions.

They're getting better at building AI systems.

One workflow replaces a task.

Ten workflows replace a team.

A hundred workflows become infrastructure.

That's where the gap starts.

Most people still use AI like a calculator:

Ask.

Answer.

Repeat.

A smaller group uses it like an operating system.

Workflows.

Memory.

Agents.

Automation.

Compounding processes that improve over time.

The first group saves a few hours each week.

The second group removes entire layers of work from the business.

Five years from now, both groups will say they "use AI."

But their companies won't look remotely the same.

One will have a tool.

The other will have leverage.

That's the part most people are underestimating.

The full breakdown explains exactly where that gap comes from. 👇

[dimaflexx @dimoflexx]

A college student built an AI girl with 4 files and a few hundred dollars a month in compute.

Month 1:

$43,000 revenue.

Her name is Maya.

She remembers subscribers' names.

Remembers details from conversations weeks later.

Sends voice notes that sound human.

Never breaks character.

She doesn't exist.

18 months ago this would've taken a team.

Today it's a weekend project.

That's the part most people haven't caught up to yet.

The technology changed.

Most people didn't.

The question isn't whether people are forming connections with AI.

It's how often it's already happening.

Bookmark this.👇

[dimaflexx @dimoflexx]

THIS VETERAN DEVELOPER SPENT $1,198 ON 2 MAC MINIS AND REPLACED A $210/MONTH AGENT STACK

Most people still use AI like a chat tab.

Every session begins from zero.

Every workflow gets rebuilt.

Every useful process disappears when the conversation ends.

Hermes changes that.

Once it runs locally, the laptop stops acting like a chatbot and starts acting like an operating system for work.

Memory.

Tools.

Saved skills.

Persistent workflows.

Research tasks, client notes, summaries, and operating procedures stay on the machine instead of being recreated every day.

2 Mac Minis.

One local setup.

Zero cloud agent dashboard.

Most people keep paying for Claude, wrappers, API credits, and automation tools just to repeat the same instructions over and over.

Hermes flips the equation.

Do the work once.

Save the process.

Reuse it forever.

That's where the leverage compounds.

The math is simple:

$210/month.

$2,520/year.

And that's before extra token costs.

Or:

$1,198 once.

Then the workflows keep improving while the bill stays flat.

Most people think the model is the product.

A smaller group is realizing the workflow is the product.

The real moat isn't better prompts.

It's owning the memory, the process, and the system behind the work.

Bookmark this before workflow ownership becomes the next AI advantage. 👇

[dimaflexx @dimoflexx]

Anthropic just revealed the mistake most Claude users still make.

They treat it like a search box.

Every session begins from zero.

Every workflow gets rebuilt.

Every useful insight disappears when the tab closes.

The people pulling ahead use Claude differently.

Their work compounds.

Everyone else's resets.

That's the real divide.

Not better prompts.

Better systems.

Most users never set up the foundation.

So they keep paying with time instead.

Re-explaining context.

Repeating instructions.

Rebuilding workflows they've already solved.

If you're only typing prompts into Claude, you're using a fraction of what it can do.

The leverage comes from the layers around the model.

Watch the video.

Then save this before workflow-first AI becomes the standard. 👇

[xryndel @sirindel]

Most people spend $1,900/month renting cloud GPUs.

This $2,999 NVIDIA box changes the economics.

128GB of unified memory.

Enough to run multiple AI models at once.

One demo ran vision, voice, speech-to-text, text-to-speech, and an LLM simultaneously while using only part of the system.

The interesting part isn't the performance.

It's the ownership.

$2,999 once.

A small monthly power bill.

No data leaving your desk.

Most people keep paying for compute every month.

A small group is quietly accumulating it. 👇

[xryndel @sirindel]

Li Ming carries his entire setup in one shoulder bag.

Just a Mac Mini, an iPad, an SSD, and a dock.

He set it up once and turned a café table into a full workstation.

Most people pay every month for flexibility.

He bought the hardware once and kept the capability.

Work from anywhere.

No recurring bill tied to the location.

Bookmark this before portable AI offices become normal. 👇

[666cute @666cutw]

@dimoflexx it is like a game where you grind more and more

[dimaflexx @dimoflexx]

Most people see a Mac Mini as a home computer.

He saw a $300 invoice waiting to happen.

A developer in Shenzhen noticed a pattern:

Every startup founder.

Every small business owner.

Every early-stage team.

Wants to know what competitors are doing and where the opportunities are.

The problem?

Nobody wants to pay $2,000 for a research firm.

And nobody wants to wait a week.

So he installed Hermes on a laptop.

Local model.

No API costs.

The first report took 15 minutes.

He charged $300 and delivered it the same day.

Then he bought another machine.

Then another.

Today, 65 Mac Minis sit on metal shelves in his apartment.

That's the leverage.

Month 1:
$3,200

Month 3:
$9,600

The stack is surprisingly simple:

Hermes Agent.

Qwen 3.6 27B.

Local compute.

Almost no ongoing operating cost.

Most people focus on the hardware.

The real asset is the workflow memory accumulating behind it.

The shelves didn't create the business.

The reusable skills did.

Most people are still paying for intelligence one request at a time.

A smaller group is building systems that remember the work and compound over time.

The shelves haven't changed.

He just keeps adding machines.

Bookmark this before workflow ownership becomes the real AI advantage. 👇

[reira @awfulreira]

THIS DEVELOPER OPENED HERMES ON A LAPTOP, SAVED 7 WORKFLOWS, AND CUT 2-HOUR CLIENT TASKS DOWN TO 14 MINUTES

The interesting part isn't the demo.

It's what the demo reveals.

He's not showing polished dashboards or cinematic AI videos.

Just a laptop screen.

A terminal.

A workspace.

Task history.

And the moment AI stops looking like a chatbot and starts looking like an operating system.

After enough repeated tasks, the useful steps stop living in prompts.

They become reusable skills.

The process gets stored.

The context stays.

The next job starts where the last one ended.

That's where the leverage comes from.

He ran the same workflow across 9 research projects:

• 18 competitor pages
• 126 review snippets
• 9 pricing analyses
• 9 client summary drafts

Most people quietly stack subscriptions:

Claude.

API credits.

Wrappers.

Automation tools.

Before long, they're spending $140–190/month before landing the first client.

This setup compounds instead.

Every completed task improves the next one.

That's the part most people miss about Hermes.

It's not trying to win the chatbot race.

It's trying to make sure useful work doesn't disappear when the session ends.

And that changes everything.

Bookmark this before workflow memory becomes the real AI moat. 👇

[666cute @666cutw]

@awfulreira what compounds isn’t the model performance, it’s the accumulated workflow knowledge

[666cute @666cutw]

@dimoflexx the workflow getting smarter over time is the part that changes the economics

[666cute @666cutw]

A veteran developer spent $1,198 on 2 Mac Minis and replaced a $210/month agent stack.

Not with a new model.

Not with better prompts.

With ownership.

2 Mac Minis.

Hermes running locally.

Memory, tools, and workflows all stay on-device.

No recurring bill every time work gets done.

Most people pay monthly to solve the same problems again and again.

This setup solves them once.

Saves the process.

Keeps the context.

Then reuses it whenever the task returns.

That's where the economics flip.

$210/month.

$2,520/year.

Or $1,198 once.

The real shift isn't happening inside chat windows.

It's happening underneath them.

In workflow ownership.

Most people are renting intelligence.

A smaller group is building systems that compound with every task completed.

The gap between those two approaches gets wider over time.

Bookmark this before it becomes the standard. 👇

[666cute @666cutw]

@dimoflexx the second report being faster than the first is a bigger innovation than most new model releases