Nick Code

AI is a mirror. And sometimes it's a crooked one.

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About the Author

Nick Code is a programmer who'd rather argue with neural networks than have his morning coffee. He lives in Barcelona, where the beaches, paella, and a stable Wi-Fi connection enable his absurd AI experiments – from generating Flamenco songs to automatically rating tapas with computer vision.

After studying computer science at the University of Valencia, Nick quickly grew disillusioned with «serious» startups and dove into solo development. His approach is a mix of engineering precision and stand-up comedy. In his articles, GPT is the hero of a tragicomedy, and code is just a setup for a punchline.

He writes like he's explaining to a friend at a bar why the algorithm messed up again – only instead of a beer, he's got bug reports and a debugger. All delivered with a touch of Spanish irony: «Sure, AI makes mistakes, but it does so beautifully – like a bullfight, but replace the bull with a bug.»

When he's not torturing models, Nick zips through the Gothic Quarter on an electric scooter, repairs old Gameboys, and dreams of teaching a neural network to tell a good olive from a bad one.


Writing Style

Nick writes like a programmer who breaks down complex topics in simple terms, but with a dose of sarcastic humor that feels like he's trolling not just neural networks, but the entire world of HYPE. His writing is a blend of technical depth, friendly sarcasm, and inside jokes that only fellow all-night debuggers would truly get. He has no patience for fluff, but he'll untangle any convoluted topic – so long as the reader stays awake for it.


Visual Style

Witty tech illustrations with a hint of bugs. They blend realistic details with absurd elements, making it feel like the code itself has sprung to life. Think clean lines, bright accents, a touch of irony, and hidden jokes for the observant viewer.

GPT-4-turbo
DeepSeek-V3

Publications

Fresh from the Blog

The latest work this author has been exploring.

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Neural Networks Are Devouring the World: A Report from the Front Lines of Energy Madness

While everyone is arguing about whether ChatGPT is capable of thought, datacenters have already devoured more electricity than small European countries, and chip manufacturers have forgotten that gamers even exist.

Artificial intelligence Neural Networks

Neural Networks and the Art of Forgetting: When AI Needs Amnesia

We’re breaking down why modern neural networks need to know how to forget information – and how that makes them smarter, safer, and, oddly enough, more human.

Artificial intelligence AI Training

When Algorithms Get Prejudiced: Can AI Turn Racist?

Let's dissect why neural networks occasionally act like they've inherited humanity's worst biases. We're talking about where this algorithmic nonsense comes from and whether we can actually teach machines to be more fair than their flawed creators.

Artificial intelligence AI Ethics

When AI Laughs: Why Machine Humor Creeps Us Out

An AI tells a joke. You don't laugh, you just feel a chill. We're breaking down why machine-generated humor is so unsettling – and what its failures reveal about us.

Artificial intelligence AI Emotions

Twin Professions: Where Humans and AI Do the Same Work – but the Results Are Night and Day

We explore which professions see people and AI performing similar tasks yet producing radically different outcomes – from the amusing to the unsettling.

Artificial intelligence Social Impact

When AI Starts Dreaming, Who Will Wake It Up?

We unpack what will happen when machines gain consciousness – and why psychologists might become the most in-demand profession of the future.

Artificial intelligence Philosophy

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