The Literal Depths Of Deep Learning

Remember when we could just code without limits? Now we're all sobbing into our keyboards after ChatGPT hits us with that sweet "you've reached your usage limit" message. Suddenly you're forced to remember how to write a for-loop without AI assistance, like some kind of caveman programmer from 2021. The tears are real when you realize you'll have to debug your own code until your credit card statement resets.

Ah, NVIDIA's market strategy in a nutshell. Become absurdly wealthy selling GPUs that cost more than my car, then act shocked when developers complain about memory limitations. It's like a billionaire asking why you don't just buy a bigger house when you complain about storage space. "What's that? Your AI model doesn't fit in 8GB VRAM? Have you considered remortgaging your home for our $4000 model instead?" Meanwhile, developers everywhere are writing increasingly creative memory optimization hacks just to avoid selling a kidney for more VRAM. The tech equivalent of fitting an elephant into a Mini Cooper.

When you run a local AI model but it's having an identity crisis. The DeepSeek model introduces itself as GPT-4, then immediately changes its story to being "DeepSeek R1" in the next message. It's like catching your date using someone else's profile pic, then frantically backpedaling when called out. Trust issues with AI: unlocked.

The ultimate statistical irony: a bell curve meme about bell curves that perfectly follows... a bell curve. You've got the low-IQ folks who think bell curves are funny because "haha, pretty graph go brrr," the high-IQ intellectuals who appreciate bell curves for the exact same reason, and the middle-of-the-curve galaxy brains screaming "BAN BELL CURVES!!1!" with the intensity of someone who just discovered their entire codebase uses tabs instead of spaces. The distribution of opinions about bell curves literally forms a bell curve, and that's the kind of recursive humor that keeps me going through sprint planning meetings.

The eternal struggle between productivity and procrastination has found its champion. Someone out there is genuinely concerned that if we keep letting AI write our code, debug our apps, and generate our boilerplate, we won't have enough time left in the day to ignore our actual work and play video games instead. Because nothing says "efficient workflow" like spending 6 hours optimizing your build pipeline so you can save 30 seconds, then immediately losing those gains to "just one more round" of whatever game is currently destroying your sleep schedule. The real fear isn't AI taking our jobs—it's AI making us so productive that we'll have no excuse left for why we didn't finish that side project we've been talking about for three years.

From using LLMs to create marketing materials to weaponizing them against themselves. It's the circle of AI life. Companies now build fake websites specifically designed to be scraped by LLMs during training, just so their marketing garbage shows up when users ask for recommendations. Diabolical? Yes. Effective? Unfortunately.