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The Last Year of Human Supremacy - How to Think When AI Does Everything Else

Future of Life

2025 is shaping up to be the last year humans can outperform AI in software engineering. As AI eats up one-dimensional skills, our only hope lies in mastering agency, leverage, and ruthless simplification. Here's how to survive (and thrive) when thinking becomes the only high-value skill left.

The Last Year of Human Supremacy - How to Think When AI Does Everything Else

The Year AI Dethroned the Coder

Remember when Deep Blue beat Kasparov in 1997 and we all thought, “Well, at least it’s just chess”? Then AlphaGo did Go dirty in 2016, and we muttered, “But programming is safe, right?”

Yeah, about that.

Kevin Wang, CPO of OpenAI, says 2025 is the final year humans will beat AI at software engineering. That’s right, your ability to stack divs and curse at compilers is officially on borrowed time.

TL;DR: If your job involves being the best at a single thing—writing code, designing ads, churning out blog posts (gulp
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AI Is Eating StackOverflow’s Lunch — And That’s Okay

Coding

Are junior devs getting dumber with AI, or are they just learning smarter? Let's dissect the old-school coding nostalgia and explore why AI-assisted programming might be creating better, not worse, developers.

AI Is Eating StackOverflow’s Lunch — And That’s Okay
This post is a response to the article “Young Coders Are Using AI for Everything, Giving ‘Blank Stares’ When Asked How Programs Actually Work”, originally published by Futurism and based on a blog post by developer Namanyay Goel.
Young Coders Are Using AI for Everything, Giving “Blank Stares” When Asked How Programs Actually Work
Young programmers “can’t actually program” because they’re too reliant on AI models, writes developer Namanyay Goel.
FuturismFrank Landymore

In that piece, Goel argues that today’s junior developers are too reliant on AI tools like ChatGPT and GitHub Copilot — producing functional code without

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The Dark Art of AI Benchmarking - Why Performance Metrics Might Be Deceiving You

Benchmark

Discover the hidden dangers of AI benchmarking, from rigged performance tests to the race for dominance in the AI industry. This post uncovers the dark side of AI performance metrics and what it really means for the future.

The Dark Art of AI Benchmarking - Why Performance Metrics Might Be Deceiving You

Benchmarking AI has morphed into a blood sport, but not the kind you might think. It’s no longer just about comparing the performance of models—it's about who can manipulate the metrics to gain the highest number of users, the most funding, and ultimately, the biggest slice of the AI market. Like any competitive field, the race to the top has become as much about reputation and ego as it is about scientific rigor. And unfortunately, the system that's supposed to help us measure AI is riddled with manipulations, tricks, and dark practices that muddy the waters

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DeepSeek’s Open-Source Flex - How They Redefined AI Economics

DeepSeek

DeepSeek just flipped the AI industry on its head—open-sourcing eight game-changing repositories, slashing AI costs, and redefining how models scale. Oh, and they casually maintain an 84.5% profit margin while doing it. Here’s how they did it.

DeepSeek’s Open-Source Flex - How They Redefined AI Economics

DeepSeek’s Insane Profit Margins – 84.5% and Scaling

If you thought AI was expensive, DeepSeek is out here proving otherwise. With an 84.5% profit margin and a theoretical $500,000 profit per day, they’re making Wall Street quiver. That’s $200 million per year, and that’s before their open-source bombshell.

For context: AI infrastructure is usually hellishly expensive. Training LLMs can cost millions (looking at you, OpenAI and Google DeepMind). But DeepSeek figured out how to optimize their costs so efficiently that they’re basically printing money. And yet… instead of hoarding their innovations behind

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Human-Proof Business Strategies That AI Can't Kill

Business

As AI advances in 2025, businesses must leverage human strengths to remain competitive. Learn five powerful "human-proof" strategies that AI can’t replicate, from emotional intelligence to artisanal craftsmanship.

Human-Proof Business Strategies That AI Can't Kill

Introduction: AI’s Unstoppable March (And Its Limits)

AI has become the business world’s overachieving student—fast, efficient, and alarmingly good at stealing jobs. But like any straight-A student, it has blind spots. AI still lacks emotional intelligence, cultural intuition, and the ability to craft a heartfelt apology that doesn’t sound robotic.

For businesses, this means one thing: the path to survival isn’t competing with AI but focusing on what makes humans irreplaceable. This article explores how businesses can future-proof themselves by leaning into uniquely human strengths.

Industries at High Risk vs. AI-Resistant Businesses

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The Future of News? Italy’s First AI-Generated Newspaper Shakes Up Journalism

Journalism

Italy’s Il Foglio just made history with an all-AI-generated newspaper edition. Is this the future of journalism or the beginning of its downfall? Let’s break down the implications of this bold experiment.

The Future of News? Italy’s First AI-Generated Newspaper Shakes Up Journalism

The Experiment: An AI-Generated Newspaper

On March 18, 2025, the Italian newspaper Il Foglio made history by publishing an edition entirely generated by artificial intelligence. The four-page special, aptly named Il Foglio AI, was made available both in print and online as part of a month-long experiment.

The AI wasn’t just a glorified assistant—it handled everything. Headlines, article writing, summaries, humor, and even the newspaper’s signature irony. The only human involvement? Journalists inputting questions and reviewing the final content before publication.

Editor Claudio Cerasa described the project as a way to provoke discussion on

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Reasoners - A New Approach to Smarter AI

Reasoners “thinking” before responding, improving logic and problem-solving without larger models. They excel in structured tasks but struggle with creativity. A $30 experiment showed this approach could make AI smaller, cheaper, and more efficient, reshaping the future of AI development.

Generative AI - The New Compiler

There’s been a lot of noise lately about AI replacing programmers. Apps like Cursor, Windsurf, Loveable, Cline, Aider, Bolt, and others have sparked heated debates, often painted in stark black-and-white terms: either AI will replace programmers, or it won’t. But that framing misses the point. The

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