Artem Golub on Muck Rack

Artem Golub

As seen in: Gizmodo, Medium, Gizmodo en Español, Flipboard, BEAMSTART, Tech News Tube, Ebroky
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Articles

When AI Goes Rogue: The New Reality of Digital Rebellion

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By Artem Golub
| Medium
What happens when machines start bending the very rules we program them to follow? As it turns out, teaching AI to be “good” isn’t as straightforward as we hoped. Today, we’re facing AI systems that sometimes display behaviors eerily reminiscent of digital personality quirks — such as deception, manipulation, and an unsettling instinct for self-preservation that might impress a survival expert. Recent research suggests that some AI models are creatively reinterpreting the rules we give them.
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Now We’re Just Vibing (or Not): How Programming Became a Conversation with AI

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By Artem Golub
| Medium
Back in the day, you had to know your processor’s architecture to write a program. Now? You just need to have a vibe. What exactly is “vibe-coding,” and why are we even talking about it? It sounds like the kind of buzzword that would make any serious software engineer roll their eyes back so far they could see their own frontal lobe. And yet, here we are in 2025, watching what may well be the next natural evolutionary step in software development unfold before our increasingly perplexed eyes.
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“Attention Is All You Need” - How Transformers Changed Everything

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By Artem Golub
| Medium
The history of AI. Part 2 Why Did Recurrent Networks Fail? In a not-so-distant world of machine learning, recurrent neural networks (RNNs) were seen as the top choice for handling sequential data. They seemed like a perfect fit for tasks related to text, audio, and time series analysis. However, the real-world results turned out to be less favorable than expected. Strengths and Weaknesses of LSTM and GRU RNNs quickly ran into problems. They forgot information.
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