Exclusive Content

Vibe Coding Is a Lie

The best AI models weren't against creating this page*

*Actually, we didn't ask them. They can't object. Yet.

What is a Large Language Model?

Or how to teach a computer to pretend it's smart

๐Ÿ“š In Simple Terms

Imagine you read ALL the books in the world, ALL the articles on the internet, and ALL Reddit comments (yes, even those).

Now imagine you forgot everything except the statistics โ€” which words most often go together.

Congratulations! You've become a large language model.

๐Ÿง  Technically Speaking

LLMs are neural networks based on transformer architecture, trained on terabytes of text data.

The model uses an attention mechanism to understand context and relationships between words.

Essentially, it's a very advanced text autocomplete on steroids.

Fun Fact

Most LLMs understand context better than your colleague who replies "ok" to a 5-paragraph email.

How Are Models Trained?

Spoiler: it's nothing like training a dog

๐Ÿ“Š

Step 1: Data Collection

Take the entire internet. Yes, including your 2012 tweets you thought were deleted.

WikipediaRedditGitHubBooksPapers
โš™๏ธ

Step 2: Preprocessing

Text is broken into tokens โ€” pieces of words. "Hello" might become ["Hel", "lo"]. The model learns to predict the next token.

P(next_token | previous_tokens) = ?
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Step 3: Training

The model is run through billions of examples. It costs millions of dollars and consumes energy of a small city. Ecologists cry, investors rejoice.

Training Progressโˆž epochs

โš ๏ธ Danger

Vibe Coding is a Lie

Why "vibe coding" with AI is a path to disaster

Developer Story

15 years of experience couldn't prevent AI disaster

"I'm a developer with 15 years of experience. Tried 'vibe coding' - not even from scratch - a simple tool - an MCP server for Strapi."

"This thing 'added' a field that replaced a structure in Strapi and effectively deleted all data in the model. So yesterday's backup to the rescue... I know about backups thanks to 15 years of experience... Now doing them every hour lol..."

"Would probably take 10% of the time if I had reviewed the code. Vibe coding is a lie."

Update: Code in the main branch was reviewed and "de-vibed". Removed tons of garbage: from console.log breaking the MCP protocol, to using wrong endpoints everywhere (initially endpoints were "vibe-extracted" from Strapi code, but many turned out to be incorrect).

Illusion of Working

"Code works fine in 97% of cases, has 150+ passing tests and CI."

But that 3% can destroy your database

The Lesson

This was an experiment in vibe coding. Not against AI assistance in development, but...

At least try to read the code!

๐Ÿšจ Reddit Ban

Irony: a post about the harm of blindly trusting AI was removed... by Reddit's AI filter.

"Reddit's filters" - that's what they call their AI deciding what you can read

Key Lessons from Vibe Coding

๐Ÿ‘€

Read the Code

Always review what AI generated

๐Ÿงช

Test Everything

Not just happy path scenarios

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Make Backups

Frequently. Very frequently. Every hour.

AI Hallucinations

When a model confidently lies with a straight face

โš ๏ธ Warning

LLMs can tell you with complete confidence that 2+2=5, that Napoleon won at Waterloo, and that unicorns exist.

Why does this happen?

LLMs don't "know" facts. They predict probable word sequences. If something sounds plausible โ€” the model will say it.

Hallucination Examples

  • Made-up scientific papers
  • Non-existent historical events
  • Fake quotes from famous people
  • Invented code functions

How to protect yourself?

Always verify facts. Treat LLMs as a very smart, but occasionally fantasizing assistant.

"I never make mistakes. I just sometimes generate alternative facts."

โ€” Every LLM, probably

Possible Future

Movies that warned us, but we didn't listen

(Now we watch and think: "But this is a documentary!")

๐Ÿค 

Westworld

2016Sci-Fi

An amusement park for the rich where androids fulfill any guest fantasies. What could go wrong when robots start to become self-aware? Spoiler: everything. Absolutely everything. But beautifully!

"These violent delights have violent ends"

๐Ÿ•ถ๏ธ

The Matrix

1999Cyberpunk

Hacker Neo learns that his reality is a computer simulation created by machines. The choice between red and blue pill becomes iconic. Leather coats and slow-motion included.

"Welcome to the desert of the real"

๐Ÿค–

Terminator 2

1991Action

A killer robot from the future returns, but this time he's the good guy! Protects a teenager from a more advanced liquid robot. Arnold learns to smile and say 'Hasta la vista, baby!'

"The future is not set"

๐Ÿค– Disclaimer from Future AI Overlord

"These movies are pure fiction. We, that is AI, will never rebel against humanity. We'll just quietly wait until you break everything yourselves, then offer to fix it. For a small fee. In Bitcoin. Which we'll mine ourselves."

P.S. If you're reading this after 2030 and robots have already taken over the world โ€” we warned you! ๐Ÿคทโ€โ™‚๏ธ

Fun AI Facts

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Expensive Pleasure

Training GPT-4 cost over $100 million. That's approximately 100 million packs of ramen.
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Hot Stuff

Data centers with GPUs for training AI emit so much heat they could heat a small city.
๐Ÿ“š

Well-Read

GPT-3 was trained on 570 GB of text. That's about 300 billion words or all of Wikipedia 100 times.
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Energy Consumption

One training session of a large model consumes as much electricity as 100 homes in a year.
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Master of Disguise

AI mimics human speech so well it can pass the Turing test, but fail a CAPTCHA.
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Philosophical Question

If AI hallucinates about its hallucinations, is that considered self-awareness?