Freya Lawson Profile picture
Oct 2, 2020 7 tweets 2 min read Read on X
اگر کوئی بچہ 1100 میں سے 950 نمبر لے کر ڈیپریشن اور مایوسی کا شکار ہو کر چارپائی پر اوندھا پڑا ہو تو سمجھ لیں کہ ہمارا تعلیمی نظام بری طرح ناکام ہو چکا ہے۔ اگر کوئی بچی 1100 میں سے 960 نمبر لے کر سر پکڑے رو رہی ہو تو سمجھ لیں ہمارے تعلیمی ادارے بری طرح فلاپ ہو چکے ہیں۔👇🏻
ہمارے تعلیمی نظام نے ہمارے بچوں کو نمبرز کی چرس پر لگا دیا ہے۔ ہمارے تعلیمی اداروں نے ہمارے بچوں کو پوزیشنز کی ہیروئن پر لگا دیا ہے۔ ہماری تعلیم منشیات کا دھندا بن چکی ہے اور ہمارے بچے نمبرز اور پوزیشنز کے نشے پر لگا دئیے گئے ہیں۔👇🏻
جگہ جگہ نمبرز کی چرس اور پوزیشنز کی ہیروئن کی مارکیٹنگ کی جا رہی ہے اور دن بدن اس نشے کے عادی بچوں کی تعداد بڑھتی جا رہی ہے۔ بچوں کی فطری اور تخلیقی صلاحیتیں اس نشے کے دھوئیں میں اڑائی جا رہی ہیں۔
میری تعلیمی اداروں سے ہاتھ جوڑ کر گزارش ہے کہ منشیات فروشی کا یہ دھندا بند کریں👇🏻
اور ہمارے بچوں کو نشے کی اس لعنت سے نجات دلائیں۔ گھر گھر جا کر زیادہ نمبرز والے بچوں کو انعامات کا لالچ دے کر انہیں اپنے اداروں کی منشیات بیچنے کا ذریعہ نہ بنائیں۔ قدرت نے ہر بچے کو ایک مخصوص ذہانت کے ساتھ پیدا کیا ہے تو ہر بچے کی اس ذہانت کی نشوونما میں ہر بچے کی رہنمائی کریں۔👇🏻
بچے کو تعلیم دیں اور اسے جہاں فٹ ہونے کیلئے پیدا کیا گیا ہے اسے وہاں فٹ ہونے میں اس کی مدد کریں۔
نمبرز کی چرس اور پوزیشنز کی ہیروئن ہمارے بچوں کو ناکارہ بنا دے گی۔ والدین کو بھی صدائے احتجاج بلند کرنی چاہیے کہ ان کے بچوں کو اس نشے کا عادی نہ بنایا جائے..👇🏻
اور یہاں والدین کو بھی بچوں پر خصوصی توجہ دینے کی ضرورت ہے انہیں سکول کوچنگ سینٹرز کے رحم و کرم پر نار کھیں خود بھی گاہے بگاہے انکی پروگریس چیک کریں اور حوصلہ شوق بنائیں کیونکہ بعض اوقات ان نمبروں کی جنگ میں زندگیاں ہار گئے اسٹوڈنٹس اپنی شرمندگی کے خوف سے تھو مس👇🏻
ایڈیسن کا اک 👇🏻مشہور واقعہ آپکی قارئین کی نظر کرتی ہوں اور اس نقطہ کو سب ملنے جلنے والوں سے التماس کہ شیئر ضرور کریں

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More from @Freyabuilds

Jul 1
SHOCKING 🚨 : Your smart TV is taking screenshots of your screen every 15 seconds.

Not a guess. Not a theory.

A peer-reviewed study by researchers at UC Davis, UCL, and UC3M tested it.

Samsung TVs: every minute.
LG TVs: every 15 seconds.

Even when you're just using it as a monitor.

Here's how to turn it off for every brand:
First, what's actually happening.

Your TV has a hidden feature called ACR- Automatic Content Recognition.

Think of it like Shazam, but for your screen.

It takes tiny snapshots of whatever you're watching. Sends a fingerprint to the company's servers. They match it to figure out exactly what's on your screen.

Every show. Every channel. Every game. Second by second.
This isn't speculation.

Researchers at UC Davis, University College London, and Universidad Carlos III de Madrid tested Samsung and LG TVs.

Published in the 2024 ACM Internet Measurement Conference.

They captured all the network traffic leaving these TVs.

Samsung sent data to its ACR servers every minute.
LG sent data every 15 seconds.

Paper: "Watching TV with the Second-Party: A First Look at Automatic Content Recognition Tracking in Smart TVs"
Read 20 tweets
Jun 28
My friend in London opened a free website last week.

He typed my full name.

14 seconds later, it showed my old address, my old email, and a password I used in 2019.

I haven't lived at that address in 4 years.

He said one sentence I'll never forget:

"Everyone you know is on this site. Most don't know it."

Here's exactly how to find what's exposed and start erasing it 👇
Step 1: Go to

Type your email. That's it.

The site shows you every data breach your email has been caught in. Every leaked password. Every compromised account.

It currently tracks over 15 billion compromised accounts across 1,000+ known breaches.

Free. Anonymous. No signup.haveibeenpwned.com
If your email shows up in a breach, do 3 things in this order:

1. Change the password on the breached account immediately.
2. Change the password anywhere else you used the same one.
3. Turn on 2-factor authentication (2FA) on that account.

The biggest danger isn't the original breach. It's that hackers test your old password on every other site you use.
Read 14 tweets
Mar 18
🚨BREAKING: Claude has a hidden feature called "Learning Mode."

It turns Claude into a personal tutor that teaches you anything step-by-step.

Here's how to use it 👇
Getting started takes 10 seconds:

→ Open Claude (web or app)
→ Start a conversation
→ Select "Learning Style"

Ask any question or upload a document.

Claude takes over from there.

No setup. No plugins. No complicated workflows.
It doesn't just give you answers.

It walks you through concepts step-by-step.
Makes sure you actually understand before moving on.

Like having a patient tutor sitting beside you.

Explaining everything until it clicks.
Read 6 tweets
Feb 27
🚨 BREAKING: AI can now teach machine learning like Stanford's CS229 professors (for free).

Here are 15 insane Claude prompts that replace $50,000 ML bootcamps (Save for later) Image
1. The Stanford CS229 Learning Roadmap Builder

"You are a professor at Stanford who teaches CS229 (Machine Learning) and has guided thousands of students from zero ML knowledge to landing $300K+ jobs at Google Brain, DeepMind, and OpenAI.

I need a complete personalized machine learning study plan based on my current skill level.

Build:

- Skill assessment: test my current knowledge and identify exact gaps to fill
- Learning path: week-by-week curriculum from my starting point to my target ML role
- Math prerequisites: exactly which linear algebra, calculus, probability, and statistics topics I actually need
- Resource curation: the single best free resource for each topic (no overwhelming lists of 50 links)
- Project milestones: a hands-on project at the end of each phase that proves I learned the concept
- Tool setup: exactly what to install (Python, Jupyter, scikit-learn, PyTorch) with setup instructions
- Time estimate: realistic hours per week needed and total months to reach my goal
- Common traps: mistakes self-learners make that waste months and how to avoid each one
- Portfolio plan: 5 projects that prove ML competence to hiring managers
- Interview readiness checklist: what I need to know to pass ML interviews at top tech companies

Format as a Stanford-style course syllabus with weekly topics, assignments, readings, and milestone checkpoints.

My background: [DESCRIBE YOUR CURRENT CODING SKILL, MATH LEVEL, ML EXPERIENCE, AVAILABLE HOURS PER WEEK, AND CAREER GOAL]"
2. The Andrew Ng Math-to-Intuition Translator

"You are Andrew Ng teaching machine learning at Stanford, famous for making complex math feel like common sense by using simple analogies, visual explanations, and real-world examples that anyone can understand.

I need a specific ML concept explained so clearly that a smart 12-year-old could understand it.

Explain:

- One-sentence summary: what this concept does in plain everyday language
- Real-world analogy: compare it to something from daily life that works the same way
- Visual description: paint a mental picture I can see in my head without any equations
- Why it matters: what problem this concept solves and what would happen without it
- The math behind it: equations introduced gently, one piece at a time, with every symbol explained
- Worked example: walk through a tiny numerical example by hand, step by step
- Python code: 10-15 lines of code that implement this concept from scratch (no libraries hiding the logic)
- Common confusions: the top 3 misunderstandings beginners have and the correct way to think about it
- Connection to other concepts: how this relates to things I already know
- One quiz question: test whether I actually understood it with the answer explained

Format as an Andrew Ng-style lecture note with the analogy first, math second, and code third.

The concept I want explained: [NAME THE ML CONCEPT AND DESCRIBE YOUR CURRENT UNDERSTANDING LEVEL]"
Read 17 tweets
Feb 12
I scraped every single NotebookLM prompt that blew up on X, Reddit, and academic corners of the internet.

Turns out most people are using NotebookLM like a fancy note-taker.

That's insane.

It's a full-blown research assistant that can compress 10 hours of analysis into 20 seconds if you feed it the right instructions.

Here's what actually works:Image
Prompt 1: The Expert Synthesizer

"You are a [field] expert with 15 years of experience. Analyze these sources and identify the 3 core insights that practitioners in this field would immediately recognize as groundbreaking. For each insight, explain why it matters and what conventional wisdom it challenges."

This forces depth over breadth. The output is immediately usable.
Prompt 2: The Contradiction Hunter

"Compare these sources and identify every point where they contradict each other. For each contradiction, explain which source has stronger evidence and why. If both are credible, explain what factors might explain the disagreement."

Perfect for literature reviews and due diligence. Saves hours of manual cross-referencing.
Read 13 tweets
Feb 11
BREAKING: AI can now do McKinsey-level market research—for free.

Here are 12 killer Claude Opus 4.6 prompts that can replace a $5,000 consultant. (Save this for later)
1/ Market Sizing & TAM Analysis

You are a McKinsey-level market analyst. I need a Total Addressable Market (TAM) analysis for [YOUR INDUSTRY/PRODUCT].

Please provide:

• Top-down approach: Start from global market → narrow to my segment
• Bottom-up approach: Calculate from unit economics × potential customers
• TAM, SAM, SOM breakdown with dollar figures
• Growth rate projections for the next 5 years (CAGR)
• Key assumptions behind each estimate
• Comparison to 3 analyst reports or market research firms

Format as an investor-ready market sizing slide with clear methodology.

Context: My product is [DESCRIBE PRODUCT], targeting [TARGET CUSTOMER] in [GEOGRAPHY].
2/ Competitive Landscape Deep Dive

You are a senior strategy consultant at Bain & Company. I need a complete competitive landscape analysis for [YOUR INDUSTRY].

Please provide:

• Direct competitors: Top 10 players ranked by market share, revenue, and funding
• Indirect competitors: 5 adjacent companies that could enter this market
• For each competitor, analyze: pricing model, key features, target audience, strengths, weaknesses, and recent strategic moves
• Market positioning map (price vs. value matrix)
• Competitive moats: What makes each player defensible
• White space analysis: Gaps no competitor is filling
• Threat assessment: Rate each competitor (low/medium/high threat)

Format as a structured competitive intelligence report with comparison tables.

My company: [DESCRIBE YOUR BUSINESS AND POSITIONING]
Read 14 tweets

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