Nexor

Exploring innovation, progress, and the ideas shaping our future.

[Nexor @0xNexor]

A humanoid police robot costs $45,000—and this is our future, whether we want it or not.

Robots will become part of our everyday lives, and unfortunately, they will gradually replace many professions. That’s why we should start asking ourselves now: what will you do when automation reaches your job?

For governments, this model could significantly reduce costs, as training and employing police officers is expensive. Moreover, people do not always act according to the law, and their decisions can be difficult to monitor.

Robots can be programmed and audited, with every action recorded. But this raises an even more important question: who will control the people programming these robots?

The future is closer than it seems.

[Nexor @0xNexor]

https://t.co/7yF9cy8myY

[Nexor @0xNexor]

https://t.co/7yF9cy8myY

[Nexor @0xNexor]

This kind of work is exhausting and incredibly difficult to do by hand.

Yet robots are already doing it—and they don’t get tired, need breaks, or risk the same physical injuries.

As machines take over more physical labor, the biggest question is no longer what they can do, but who will own them.

Watch the video, then read the full article below. 👇

[Nexor @0xNexor]

This kind of work is exhausting and incredibly difficult to do by hand.

Yet robots are already doing it—and they don’t get tired, need breaks, or risk the same physical injuries.

As machines take over more physical labor, the biggest question is no longer what they can do, but who will own them.

Watch the video, then read the full article below. 👇

[Milady @onchainmilady]

https://t.co/Aq5eWEcOA8

[Nexor @0xNexor]

Your notes shouldn’t just store information.

They should help you think.

Claude + Obsidian can turn scattered ideas into a second brain that connects patterns, retrieves context, and improves over time.

Here’s how to build it ↓

[Kirill @kirillk_web3]

https://t.co/IscgkTMDM9

[Nexor @0xNexor]

Almost everyone is wasting money on AI.

Not because they're buying the wrong tools.

Because they're renting what they could own.

Instead of paying subscription after subscription, build a machine designed specifically for your workflow.

Choose your GPU.

Choose your RAM.

Choose your storage.

Pay only for the performance you actually need.

A basic local AI setup can cost under $500.

A workstation capable of running multiple AI agents? Around $3,000.

From there, you can run Ollama, n8n, local LLMs, AI agents, and automations directly on your own hardware.

No API bills.

No usage limits.

No cloud dependency.

No sending your data to third-party servers.

The creator in this video didn't buy an overpriced AI workstation.

He built one around his own business.

Today, that setup helps power a workflow generating more than $30,000 per month.

The biggest expense isn't building your own AI computer.

It's paying monthly for one you'll never own.

Build once.

Use it for years.

[Superior @andreysuperior]

https://t.co/AMfN9LAlVb

[Nexor @0xNexor]

https://t.co/rZ6pjfZU29

[Nexor @0xNexor]

$1M at 21 is worth infinitely more than $1.3T at 54

[Nexor @0xNexor]

https://t.co/pVtC1PugiE

[Nexor @0xNexor]

https://t.co/VBPoTG34Mv

[Nexor @0xNexor]

https://t.co/sLWyEi9gox

[Nexor @0xNexor]

If you want such a result in 30 days with a small deposit, the strategy is described in the article👇

[Nexor @0xNexor]

https://t.co/piPVAltJAj

[Nexor @0xNexor]

$10-$100000👇Instruction 2026

[Nexor @0xNexor]

https://t.co/piPVAltJAj

[Nexor @0xNexor]

If I had to turn $10 into $100,000 in 3-6 months, this is the exact system I would use.

Crypto exchange inefficiencies.

Spotting the edges others ignore.

The strategy is explained in the article below. 👇

[Nexor @0xNexor]

https://t.co/piPVAltJAj

[Nexor @0xNexor]

AI + Trading Bots + Discipline.

That's the plan.

[Nexor @0xNexor]

https://t.co/chjk3rtlKC

[Nexor @0xNexor]

https://t.co/piPVAltJAj

[Nexor @0xNexor]

Here's a simplified example of how a trading bot works.

Once launched, the bot connects to Binance Futures and starts monitoring the market in real time.

It continuously analyzes price movements, indicators, and predefined conditions to determine whether there is a trading opportunity.

When all conditions are met, the bot automatically opens a position, calculates risk, sets stop-loss and take-profit levels, and manages the trade without emotional interference.

As the market moves, the bot tracks unrealized profit and loss, updates statistics, and eventually closes the position when the target or stop-loss is reached.

Everything happening inside the system can be monitored directly from the terminal.

This is one of the reasons why I believe the combination of Python, Visual Studio Code, and Codex has the potential to change the future of algorithmic trading.

With the help of AI, building systems like this is becoming more accessible than ever before.

MR.Profit

[Nexor @0xNexor]

https://t.co/chjk3rtlKC

[Nexor @0xNexor]

The Story of Elon Musk
$SPCX

[Nexor @0xNexor]

https://t.co/6LdSRWLMqu

[Nexor @0xNexor]

https://t.co/chjk3rtlKC