4 Reasons Why You Should Never Blindly Trust AI
Through the last 6 posts, we have learned how to "hire," "collaborate with," and "lead" AI. By now, it might seem like AI can do anythingโa skeleton key for all problems.
But today, in the finale of this series, I want to pour a bucket of ice water on that enthusiasm.
"Do not trust AI."
To be precise, "Do not trust unverified results from AI."
AI is simultaneously the smartest PhD in the world and the most shameless liar. Today, we will discuss the Traps developers must watch out for when collaborating with AI, and the Responsibilities that must never be handed over.
1. Plausible Lies: Hallucination
LLMs (Large Language Models) are not fact-searching engines. They are machines that generate the "most probabilistically appropriate next word" based on preceding words. Therefore, AI doesn't say "I don't know" when it doesn't know; it invents lies with a very confident tone. This is called Hallucination.
๐จ Real Danger Case: Package Hallucination
Developer: "Recommend a library for removing image noise in Node.js."
The developer copies the command and pastes it into the terminal without suspicion. But no such package exists.
What's scarier is that hackers exploit this. Hackers register malicious packages on npm or PyPI using the names of fake packages that AI frequently recommends.
โ Countermeasures:
2. Security: Do Not Share Your Secret Keys
"Debug this code for me."
In a rush, you copy and paste the entire code to the AI. But what if AWS Secret Key or DB connection passwords were hardcoded at the top of that code?
You effectively just donated your company's confidential information to a global public database. AI models may use user conversations as training data (depending on options), and the possibility of this information leaking to other users cannot be ruled out.
๐ Security Rules
3. The End of the "Copy-Paste Developer": Atrophy of Thinking Muscles
Because AI writes code so well, you might find yourself skipping the process of 'reading' the code and just 'Copy + Pasting'.
"It works anyway, so isn't that enough?"
No. If you deploy AI-written code without understanding it, you will be unable to handle anything when issues arise later. I call this a state of 'Technical Illiteracy'.
โ Countermeasures:
4. Responsibility is Solely Human
Finally, the most important point.
Let's assume the server crashed or personal data leaked because of code written by AI.
When writing the incident report, can you make the excuse, "ChatGPT wrote it like this?"
No. The responsibility lies entirely with you, the one who pressed the 'Enter' key.
You are the Pilot sitting in the cockpit. When the Co-pilot suggests a wrong path, it is the Pilot's duty to reject it and steer the correct course.
Conclusion: Are We Ready to be 'Amplified'?
From Part 1 to Part 7, we have discussed how developers should live in the AI era.
AI is a Multiplier (*).
If your skill is 0, multiplying it by the tool called AI still results in 0. (0 * 100 = 0)
But if you have solid fundamentals and domain knowledge (1), AI will amplify your productivity to 100.
Do not fear AI, and do not blindly trust it.
Instead, become the most demanding boss.
Now, it is time to go and build great products with your own AI junior developer.
Happy Coding with AI! ๐