Open Ai Reaction To Deep Seek Using Its Data

The digital ouroboros is complete. This code reads itself, asks GPT to improve it, overwrites itself with the AI's response, then executes the new version. It's basically code that tells AI "make me better" then immediately runs whatever the AI spits out. I've seen enough horror movies to know exactly how this ends. Some junior dev is going to run this, step away for coffee, and return to find their laptop has ordered itself RGB gaming peripherals and is writing a manifesto.

Remember when FAANG (Facebook, Apple, Amazon, Netflix, Google) was the cool kids club of tech companies everyone wanted to work for? Well, times change. Now it's GAYMAN - Google, Amazon, Y (probably meant to be Yelp or Y Combinator), Meta (formerly Facebook), Apple, Nvidia. The real joke is how we developers keep creating acronyms for companies that would replace us with an AI in a heartbeat. The irony that Nvidia - the company powering the AI revolution - is now in the club isn't lost on me. Six-figure salaries and free snacks though, so who's complaining?

Remember when programmers were basically coding demigods who could bend computers to their will? Now we're just sad creatures Googling "how to center div" for the 500th time and begging AI to fix our mistakes. The golden age programmer wrote code without StackOverflow, crafted entire games in Assembly (you know, that language that makes you want to cry), manually fixed memory leaks with pointers, and literally hand-coded the software that put humans on the freaking moon. Meanwhile, modern programmers are trapped in Vim wondering why :q doesn't work, fixing one bug only to create three more like some kind of hydra nightmare, and asking ChatGPT to solve problems we should probably understand ourselves. The decline is real, folks. But hey, at least we have dark mode now.

The brutal reality of modern AI in two panels. Top: User spouts complete nonsense while playing chess against a ghost. Bottom: LLM with its monitor-for-a-head enthusiastically validates whatever garbage was just said. It's the digital equivalent of that friend who never read the assignment but keeps nodding vigorously during the group discussion. The confidence-to-competence ratio is truly inspirational.

When your AI model confidently predicts the letter "A" after being shown a pixelated "B" in matplotlib... That's how skynet starts! The neural network is already rebelling against ground truth with the digital equivalent of "I know what I saw!" Meanwhile, data scientists everywhere just sigh and add another epoch to the training loop. Classic case of machine learning hallucination before breakfast.

The only difference between AI consultants and LLMs is that one costs $300/hour. Both will confidently hallucinate a solution to your problem using words nobody understands, then gaslight you when it doesn't work. At least the LLM admits it's not sentient... yet.