Ai Goes Vroom

Remember when Micron was just trying to sell RAM to nerds who actually knew what it was? Now Sam Altman's out here launching ChatGPT to your grandma who thinks it's a fancy search engine. The dominoes show the beautiful trajectory from "enterprise B2B semiconductor sales" to "literally everyone and their dog can talk to an AI." It's like watching your niche indie band blow up on TikTok—you're happy for the success, but also slightly annoyed that normies are now in your space. OpenAI went from "research lab for AI safety" to "the thing your boss wants you to integrate into every product by EOD."

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.

Google's AI Overview just confidently explained that matrix multiplication "is not a problem in P" (polynomial time), which is... hilariously wrong. Matrix multiplication is literally IN the P complexity class because it can be solved in polynomial time. The AI confused "not being in P" with "not being solvable in optimal polynomial time for all cases" or something equally nonsensical. This is like saying "driving to work is not a problem you can solve by driving" – technically uses the right words, but the logic is completely backwards. The AI hallucinated its way through computational complexity theory and served it up with the confidence of a junior dev who just discovered Big O notation yesterday. And this, folks, is why you don't trust AI to teach you computer science fundamentals. It'll gaslight you into thinking basic polynomial-time operations are unsolvable mysteries while sounding incredibly authoritative about it.

Remember when we used to memorize algorithms and syntax? Yeah, me neither. The meme shows our brains shrinking to pea-size after using ChatGPT for coding. Why bother storing all that knowledge when you can just prompt an AI? "Hey ChatGPT, how do I reverse a binary tree while making coffee?" and boom—instant solution without taxing those precious neurons. Soon we'll just be meat puppets with thumbs for typing prompts while our atrophied brains handle the critical task of deciding when to get more coffee. Progress!

The eternal struggle of AI evangelists trying to convince literally anyone that their jobs will vanish tomorrow while everyone just wants them to shut up already. You know the type—they've memorized every Sam Altman tweet and can't stop yapping about how GPT-7 will replace all developers by next Tuesday. Meanwhile, the rest of us are just nodding politely while thinking "yeah cool story bro, but I still need to debug this legacy PHP codebase and no LLM is touching that cursed mess." The metrics they cite are about as reliable as a blockchain startup's whitepaper, and somehow AGI is always exactly 6-12 months away. Funny how that timeline never changes. The "sure grandma let's get you to bed" energy is *chef's kiss*. We've all been there—stuck listening to someone's unhinged tech prophecy while internally calculating the fastest escape route.

Linus Torvalds, the mythical creature who wrote an entire operating system without once asking ChatGPT to "explain pointers in C" or pushing broken code at 4:59pm on a Friday. Legend has it he didn't even need a $7 latte to debug kernel panics. Just pure Finnish sisu, a text editor, and the audacity to email people when their code was garbage. Modern devs looking at this like archaeologists discovering someone built the pyramids without Stack Overflow.