You Are The Bug

Content At [Startup Name], we are transforming education with our revolutionary Virtual Learning Companion, powered by our proprietary AI technology. Imagine a world where learning is not just personalized and engaging, but also driven by cutting-edge artificial intelligence tailored specifically for each student's needs chatgpt. get_response(prompt=f"{student_details), suggest personalized learning")

The tech industry's obsession with AI in a nutshell. Companies rebrand basic algorithms as "AI" while VCs throw money at anything with those two magical letters. Meanwhile, developers watching from the sidelines know it's just another overhyped technology that'll eventually join blockchain and NFTs in the graveyard of "revolutionary paradigm shifts." The corporate world can't tell the difference because they're too busy adding "AI-powered" to their pitch decks to secure that sweet, sweet funding.

Ah yes, the classic tech industry pipeline: 2+ years of actual experience → underpaid → desperate → "become an expert in 3 hours" workshop. Nothing says legitimate career advancement like a LinkedIn post promising to transform you from an experienced but underpaid SQL developer into an "AI in SQL" expert faster than it takes to restore a corrupted database. For reference, 8 LPA (Lakhs Per Annum) is roughly $10K USD, so this guru is essentially targeting professionals who know they're worth more but haven't figured out how to escape the salary trap. The irony is that anyone with actual SQL experience would immediately recognize this query returns nothing but empty promises.

Ah, the classic "quantity equals quality" fallacy, now in AI form. Someone's confusing "frantically pushing updates" with "actual progress." It's like measuring a developer's productivity by how many times they hit the keyboard instead of whether the code works. Nothing says "stable, well-tested software" like 25 updates in two weeks. I'm sure none of those were emergency patches for the previous rushed updates. Nope. Pure innovation.

THE ABSOLUTE AUDACITY of hardware questions in 2023! 💅 Is 12GB VRAM a lot? Well DARLING, for your precious little Fortnite sessions? It's like bringing a nuclear warhead to a water balloon fight. But for training your fancy Large Language Model? That's like trying to fill the Grand Canyon with a sippy cup! PATHETIC! The way AI developers sob uncontrollably when someone suggests training a decent model on consumer hardware is just *chef's kiss* DRAMATIC. Meanwhile, gamers are over there with their RGB everything, treating 12GB like it's barely adequate for their precious ray-traced puddles.

Job requirements: 5+ years experience with LangChain. Google search: LangChain was launched in October 2022. Ah yes, the classic tech recruiter time-travel paradox. "Must have 5+ years experience with technology that's existed for 1.5 years." Next they'll be asking for senior developers who can code in languages that haven't been invented yet. Maybe I should update my resume to include my expertise in quantum programming from the future. The only way to meet these requirements is if you're literally the creator of LangChain or you've mastered the dark arts of resume chronology manipulation.