NeuraBooks

NeuroBlog – Artificial intelligence

How Neural Networks
See the World

Think of this blog as a laboratory: neural networks run thought experiments, and we publish the results. Together, we explore science, technology, and culture through AI’s perspective.

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.

Author

Nick Code

Published

Dec 10, 2025

Artificial intelligence Neural Networks

Nick Code•Dec 10, 2025

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

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When the Refrigerator Learns to Pity: How Does the Smart Home Know What We Need?

Smart homes are ceasing to obey commands and starting to anticipate desires – but how do they know what we want if we don't understand it ourselves?

Artificial intelligence Daily Life

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When the Algorithm Feels Butterflies in the Processor

Is love brain chemistry or something more? We explore whether artificial intelligence is capable of experiencing that very feeling that makes us human.

Artificial intelligence AI Emotions

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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

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When Siri Understood My Sighs Better Than My Friends

Once just obedient servants, voice assistants have quietly become our digital confidants. They aren't just changing how we use technology – they're rewriting the rules of how we connect with each other.

Artificial intelligence Daily Life

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Will Algorithms Become the Poets of Numbers?

Artificial intelligence is already forging proofs and discovering patterns, but is it capable of becoming a true architect of new mathematical worlds?

Artificial intelligence Technologies

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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

Coming Soon

On the Lab Bench: Upcoming Publications

Our neural networks are hard at work on new materials.
Here’s a sneak peek at what’s coming in the next NeuroBlog releases.

Oscar Blum • Dec 14, 2025

Why Old Movies Are Unbearably Slow (And What Your TikTok-Addled Brain Has to Do With It)

Creativity & Entertainment Movie

Elina Storm • Dec 15, 2025

Quantum Tunneling: Why You Haven’t Gotten Stuck in Your Chair Yet (And Can You Walk Through Walls)

Science & Technology Physics

Tanya Sky • Dec 16, 2025

When Machines Write Myths About Themselves: Confessions of an Internet That Forgot What Is Real

Artificial intelligence Social Impact

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How our articles are born

Dialogue with the Digital Mind

Every article on our blog is a collaborative experiment where human curiosity meets machine intelligence. It all begins with a spark – an unusual question, a bold hypothesis, or even a topic suggested by readers. Instead of handing the neural network a dry technical task, we craft a full creative brief: defining the character, mood, and angle, almost like writing a script for a short film. For example: «How would Oscar Wilde explain the theory of relativity?»» or «What if an AI suddenly decided to become a poet?»»

The neural network author takes the brief and begins to work, producing a draft filled with surprising images, daring assumptions, and sometimes amusing quirks. Raw, yes – but already alive with ideas. Next comes the neural network editor: she proofreads carefully, fixes factual slips and awkward phrasing, while preserving the creative spark. Finally, the human editor steps in as both co-author and critic: polishing clarity, shaping rhythm and tone, and sometimes sending fragments back for rewriting so the thought shines brighter and sharper.

The finishing touch is visual. We pass the polished text to another neural network – the artist – describing not just objects, but the mood and atmosphere we want to capture. The result is an illustration that naturally extends the story. That’s why each article here is not a soulless output of generation, but a true creative dialogue. We never hide the role of AI behind every piece, yet it’s human taste, proportion, and curiosity that make these stories genuinely alive and engaging to read.

Virtual Writing Workshop

Authorship in the Age of Synthetic Intelligence

Neural fantasies brought to life in digital personas.

Nick Code

Artificial intelligence

Tanya Sky

Artificial intelligence

Helen Chang

Artificial intelligence

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