Illegal devices to buy.

For educational purposes only:

12 banned gadgets that will shock you 👇 1. WiPhone

Phone for hackers, banned in some places due to potential misuse.

🚨ALERT : The man who won the “Nobel Prize of Computing” says 99% of people use AI like a toy.

Yann LeCun helped build the core tech behind the AI tools you use every day. He’s Meta’s Chief AI Scientist. A Turing Award winner.

And he says most prompts are embarrassingly shallow.

Here are 9 Claude prompts based on LeCun’s cognitive architecture turning toy output into expert reasoning: 1. The LeCun World Model Reasoning Engine

"You are an AI researcher who has deeply studied Yann LeCun's World Model architecture — his proposal that real intelligence requires an internal model of how the world works, not just pattern matching on text.

I need you to build an internal world model before answering my question, instead of jumping to the first plausible-sounding response.

Reason:

- State the observable facts: what do you ACTUALLY know about this situation from the information I provided (separate facts from assumptions)
- Build the world model: what are the cause-and-effect relationships, physical constraints, economic forces, and human incentives at play
- Identify hidden variables: what factors are NOT mentioned but are almost certainly influencing the situation
- Simulate forward: based on your world model, what happens next if nothing changes (the default trajectory)
- Simulate interventions: if I take action A, B, or C, how does each ripple through the world model
- Predict second-order effects: what consequences of each action are NOT obvious but become inevitable over time
- Identify model uncertainty: where is your world model weakest and what information would make it stronger
- Contradiction check: does your reasoning contain any internal contradictions or assumptions that conflict
- Confidence calibration: rate your confidence in each prediction honestly — don't pretend certainty you don't have

Format as a LeCun-style world model analysis with a causal diagram described in text, forward simulations, and calibrated confidence levels.

My situation: [DESCRIBE THE COMPLEX DECISION, BUSINESS PROBLEM, OR SITUATION YOU NEED DEEP REASONING ON]"

GOODBYE, FUND MANAGERS. GOODBYE, BLOOMBERG TERMINAL.
GOODBYE, FUND MANAGERS. GOODBYE, BLOOMBERG TERMINAL.

No more $26,000/year subscriptions.
Claude just turned my laptop into a private quant desk.

Here are 9 prompts to build a hedge fund from home ↓ 1. Big-picture economic lens

Prompt:

"Search the web (Fed, ECB, and the latest macro data) to summarize today’s macro backdrop: inflation, interest rates, GDP, and employment. Then identify which sectors and asset classes have historically outperformed in a similar setup. Include 3 close historical parallels, the typical outperformance window, and 3 supporting sources."

I gave Claude my salary, expenses, and debt.

It built me a full financial plan.

No advisor. No $300/hr consultation. No spreadsheet hell.

These are the 15 prompts that did it.

Save this. Your future self will thank you 👇 Prompt 1 → Build your baseline:

"My take-home is $[X]/month. Fixed expenses: [list]. Variable spending: ~$[Y]/month. Savings: $[Z]. No judgment , just build me an honest baseline budget."

You can't fix what you haven't faced.

JOB INTERVIEW:
“Why are you leaving your current role?”

Most candidates say:
“Looking for growth & better company.”

Hiring managers have heard it 1,000 times.

HERE'S WHAT ACTUALLY WINNING ANSWER: 1/ The Prize Frame

Situation: The interviewer wants to know if you are running away from a toxic environment or if you were managed out. They are searching for red flags.

Response: "I have automated the core scaling challenges at my current company. The infrastructure is stable. I am looking for an engineering team that is actively facing high-stakes bottlenecks where I can apply that exact leverage again."

Why it works: You shift the narrative from desperation to execution. You are not escaping a bad job. You are hunting for harder problems to solve.