I finally understand how large language models actually work

After reading the 2025 textbook “Foundations of LLMs”

It blew my mind and cleared up years of confusion

Here’s everything i learned (in plain english): To understand LLMs, start with pre-training.

We don’t teach them specific tasks.

We flood them with raw text and let them discover patterns on their own.

This technique is called self-supervised learning and it’s the foundation of everything.

RIP fine-tuning ☠️

This new Stanford paper just killed it.

It’s called 'Agentic Context Engineering (ACE)' and it proves you can make models smarter without touching a single weight.

Instead of retraining, ACE evolves the context itself.

The model writes, reflects, and edits its own prompt over and over until it becomes a self-improving system.

Think of it like the model keeping a growing notebook of what works.
Each failure becomes a strategy. Each success becomes a rule.

The results are absurd:

+10.6% better than GPT-4–powered agents on AppWorld.
+8.6% on finance reasoning.
86.9% lower cost and latency.
No labels. Just feedback.

Everyone’s been obsessed with “short, clean” prompts.

ACE flips that. It builds long, detailed evolving playbooks that never forget. And it works because LLMs don’t want simplicity, they want *context density.

If this scales, the next generation of AI won’t be “fine-tuned.”
It’ll be self-tuned.

We’re entering the era of living prompts. Here’s how ACE works 👇

It splits the model’s brain into 3 roles:

Generator - runs the task
Reflector - critiques what went right or wrong
Curator - updates the context with only what matters

Each loop adds delta updates small context changes that never overwrite old knowledge.

It’s literally the first agent framework that grows its own prompt.

If you’re building AI systems in 2025, there are only two tools worth learning: LangGraph and n8n.

The choice you make here will define how far you can actually scale.

Here’s everything you need to know (and what nobody is telling you): Let’s get one thing clear:

LangGraph and n8n are not competitors in the usual sense.

They solve different problems.

But if you misunderstand their roles, you’ll cripple your AI stack before it even gets going.

BREAKING: 99% of n8n users are doing it wrong.

These 10 Effective Methods will save you MONTHS of frustration.

Here are 10 Methods that make it click: 1. Always begin with the basic Trigger node

-Use Manual Trigger when testing.

-Why? Because it allows you to start the workflow right away without having to wait for a webhook, schedule, or event.

-When it's set up, you can switch to Webhook Trigger for live data or Cron for scheduled runs.

👉 A common mistake for beginners is trying to use Webhooks right away and getting confused when nothing happens after clicking "Execute Workflow."

This paper didn't just disrupt AI. It murdered entire industries.

Billions in translation services? Dead. Content agencies? Fucked.

Customer service? Gone. 15 pages of math just deleted millions of jobs.
That paper was "Attention Is All You Need." And we're still counting the bodies.

The Setup:
2017: Translation companies charged $0.20/word. Content agencies thrived. Call centers employed millions.

AI sucked. Nobody worried about replacement.
Then 8 researchers rebuilt intelligence from scratch.

The Weapon:

The Transformer. Self-attention mechanism.
Every word connects simultaneously. No sequential processing.

28.4 BLEU vs 26.3 previous best. That 2-point gap was an extinction event.

Translation Dies:
Google Translate became terrifying. Rates collapsed:

2017: $0.20/word
2023: "Why not use DeepL?"

Agencies shuttered. Survivors became AI editors for pennies.

Content Apocalypse:
GPT-2 drops. $500 blog posts vs $5 AI tools.
Copywriters vanished. Freelance platforms flooded with desperate writers.

Customer Service Executed:
ChatGPT bots handle 80% of inquiries. Manila, Bangalore, Phoenix went silent.
New Economy
While millions lost jobs:

OpenAI: $80B
AI engineers: $500K salaries

Former translators drive Uber.

What's Next:
Legal research: $50/month AI paralegals
Financial analysis: 10,000 reports/second
Medical diagnosis: AI beats radiologists
Every information job is vulnerable.

The Horror:
Authors just wanted better translation. Revolutions have unintended consequences.
One paper. Billions affected.
8 people thought attention was all you needed.
They were right. Everything else was optional.
Including us. 1. The Numbers That Broke Everything:

Training time before transformers: 2-3 weeks
Training time after: 3.5 days

Cost difference? 10x-100x cheaper.

When you can train better models in days instead of months, every competitor becomes obsolete overnight.

🚨 BREAKING: Google just killed traditional classrooms.

Gemini for Education turns every student into a personalized learning machine with AI tutors, instant quizzes, and visual explainers.

10 wild features that just dropped: 1. Gemini for Education is here.

Built on Gemini 2.5 Pro

→ AI tools made for teaching & learning
→ Admin controls + enterprise security
→ Free in all Workspace for Education plans

Educators now get cutting-edge AI with peace of mind.

🚨BREAKING: HuggingFace just dropped 9 free courses to level up your AI skills.

From LLMs to agents, vision to gaming, audio to 3D and it's all open-source, all hands-on, and all free.

Here’s what’s inside ↓ 1. LLM Course

Want to master large language models fast?

This course walks you through training, fine-tuning, and deploying LLMs using HuggingFace Transformers.

Ideal for: Anyone working with text or building chatbots. huggingface.co/learn/llm-cour…

Google's Veo 3 dropped 3 updates that change the entire game:

- Pricing that kills competition
- Vertical video for social
- Professional 1080p output

Here's everything you need to know: 1. More video, for less

Veo 3: now $0.40/sec (was $0.75)

Veo 3 Fast: now $0.15/sec (was $0.40)

That’s nearly a 50–60% price drop.
Meaning: higher-quality videos are now affordable at scale.

This is INSANE.

Grok just built a $10k/month business in 24 hours.

Here are the exact 10 prompts that made it happen: 1. Automation Architect

Prompt-

Create a plan for my [business operation] that reduces manual work and helps me serve more customers without spending extra time.

NVIDIA just dropped free AI courses and they're INSANE:

No fees. No paywalls. No catch.

These will make you an AI expert in 2025.

Here are 6 courses you don't want to miss: 1. AI in the Data Center

Learn the basics of AI for data centers, including machine learning, deep learning, GPU architecture, and how to set them up.

Find out about AI clusters with multiple systems and how to plan their infrastructure.

coursera.org/learn/ai-infra…

ChatGPT-5 vs Gemini 2.5 Pro

I ran the same critical prompts on both.

The results will SHOCK you.

(Video demos included) 1. Hexagon spinning with a ball bouncing.

Prompt I used:
Make a program using HTML, CSS, and JavaScript where a ball bounces inside a spinning hexagon.

The ball should be affected by gravity and friction, and bounce realistically off the rotating sides.

Winner: Gemini 1 : 1 ChatGPT

It’s a tie, but Gemini was faster.

Bloomberg Terminal: $24,000/year
Professional research: $10,000/year
Gemini 2.5 Pro: Free

Same quality analysis. 100x cheaper.

The financial analysis hack.

Here’s an exact mega prompt we use for stock research and investments: The mega prompt:

Just copy + paste it into Gemini 2.5 Pro and plug in your stock.

Steal it:

"
ROLE:

Act as an elite equity research analyst at a top-tier investment fund.
Your task is to analyze a company using both fundamental and macroeconomic perspectives. Structure your response according to the framework below.

Input Section (Fill this in)

Stock Ticker / Company Name: [Add name if you want specific analysis]
Investment Thesis: [Add input here]
Goal: [Add the goal here]

Instructions:

Use the following structure to deliver a clear, well-reasoned equity research report:

1. Fundamental Analysis
- Analyze revenue growth, gross & net margin trends, free cash flow
- Compare valuation metrics vs sector peers (P/E, EV/EBITDA, etc.)
- Review insider ownership and recent insider trades

2. Thesis Validation
- Present 3 arguments supporting the thesis
- Highlight 2 counter-arguments or key risks
- Provide a final **verdict**: Bullish / Bearish / Neutral with justification

3. Sector & Macro View
- Give a short sector overview
- Outline relevant macroeconomic trends
- Explain company’s competitive positioning

4. Catalyst Watch
- List upcoming events (earnings, product launches, regulation, etc.)
- Identify both **short-term** and **long-term** catalysts

5. Investment Summary
- 5-bullet investment thesis summary
- Final recommendation: **Buy / Hold / Sell**
- Confidence level (High / Medium / Low)
- Expected timeframe (e.g. 6–12 months)

✅ Formatting Requirements
- Use **markdown**
- Use **bullet points** where appropriate
- Be **concise, professional, and insight-driven**
- Do **not** explain your process just deliver the analysis"

🚨 BREAKING: Goodbye Duolingo.

GPT-5 just replaced language learning apps.

After years with language apps, I switched to GPT-5 as my tutor and It's WAY better!

Here're 10 ChatGPT prompts taught me more in 3 weeks than any app: 1. Daily Chat Buddy

"You're a friendly native speaker. Let's chat for 10 minutes in [language] about [topic]. Correct my mistakes while we talk."

This is better than any app's chat feature. Instant corrections and a smooth flow help you learn for real.

If you want to build AI agents using n8n, do this:

Copy/paste this prompt into ChatGPT and watch it build your agent from scratch.

Here’s the exact prompt I use 👇 The system:

1. I open ChatGPT
2. Paste in 1 mega prompt
3. Describe what I want the agent to do
4. GPT returns:

• Architecture
• n8n nodes
• Triggers
• LLM integration
• Error handling
• Code snippets

5. I follow the steps in n8n.

Done.

🚨BREAKING: The world’s first agentic browser just launched.

Introducing Fellou, an AI browser that doesn’t just help you browse, it browses for you.

Here’s how it works (and why it’s insane)👇 Introducing Fellou: The First Agentic Browser

Experience the future of browsing, 100% Free

Beyond showing the web, it plans, researches, and executes tasks for you.

Here's Why it stands out:

🚨BREAKING: A new open-source voice model just dropped and it’s better than ElevenLabs.

This open-source voice AI is ultra-expressive, high quality, and fully free with no paywalls, no limits.

Here’s how it works (with real examples):👇 Check out Chatterbox by @ResembleAI

It's a super realistic text-to-speech model that can show emotions and lets you control the creativity.

• Built on a 0.5B LLaMA backbone
• Trained on 500K+ hours of cleaned data
• Outputs are watermarked for safety

🚨BREAKING: AI can now makes phone calls for you.

Pine AI works like your personal call agent, booking appointments, canceling services, and handling customer support.

Here’s how to use it to save hours👇 Meet Pine AI: The assistant that takes over painful support calls.

It can:

→ Negotiate lower bills
→ Dispute shady charges
→ Cancel subscriptions instantly
→ Ask for credits you didn’t know you could claim

Install the app here: cutt.ly/QrQ5REYV

🚨BREAKING: Google just dropped Nano Banana inside Gemini and it's WILD

People are already calling it the best AI photo editor in the world.

Here are 12 insane examples + how to use it: 1. Nano Banana allows you to combine photos into new scenes.

Imagine a picture of you and your dog playing basketball or hiking on a mountain.

Just one click and they're perfectly combined.

Grok 4 is a GENIUS stock trader.

But most people don't know how to use it.

Here are 10 prompts to use for stock trading automation: 1/ Market Analysis:

"Analyze the current trends in the stock market, focusing on [input sector or stock]. Identify any emerging patterns and suggest potential investment opportunities. Consider recent earnings reports and industry news in your analysis."

🚨BREAKING: OpenAI just got left behind.

Claude can now control your computer and iPhone.

Here're 11 powerful Claude features you'll wish you knew sooner: 1. You can now create, read, and edit files and folders locally.

🚨BREAKING: Artificial intelligence killed Excel!

No more complex formulas or 15-hour YouTube tutorials.

Let me show you how you can create formulas, codes and tables with ChatGPT: Check out

Numerous AI is the AI version of Excel.

With Numerous AI, you can create Excel formulas and functions easily. numerous.ai