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.

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

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 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

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.

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

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 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

AI Art and the Copyright Conundrum - The Court Strikes Back, Again..

Image Generation

The U.S. Court of Appeals reaffirms that AI-generated art cannot be copyrighted without human authorship. What does this ruling mean for the future of AI in creativity? Dive into the debate on AI, copyright law, and the evolving role of human artists.

AI Art and the Copyright Conundrum - The Court Strikes Back, Again..

Introduction: AI, Creativity, and the Law

Once upon a time, the law had a simple job—protecting artists, authors, and creators from having their works stolen or copied. But then came artificial intelligence, complicating everything like an overenthusiastic intern who automates half your job and leaves you wondering what’s left for you to do.

As AI tools like MidJourney, DALL·E, and Runway ML gain prominence, questions about authorship, ownership, and rights have taken center stage. Can an algorithm truly be considered an artist? And if so, should it be granted the same legal protections as a human?

The

Inductive Moment Matching - The Next Leap in Generative AI?

Image Generation

Inductive Moment Matching (IMM) is redefining the game for generative models. It tackles speed, quality, and stability—all in one go. Find out how IMM is surpassing diffusion models with lightning-fast inference and fewer steps.

Inductive Moment Matching - The Next Leap in Generative AI?

When a new idea comes along that claims to solve a problem that has plagued an entire field, the first instinct is skepticism. Every breakthrough, from the light bulb to deep learning, was met with a chorus of “This won’t work in practice.” The latest target of this reaction in the world of generative AI is Inductive Moment Matching (IMM)—a model that promises to generate high-quality images in fewer steps, without sacrificing stability.

At first glance, it seems too good to be true. For years, researchers have wrestled with the trilemma of generative models:

Quality – High-fidelity,

Sunil Ramlochan

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

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

DeepSeek’s Insane Profit Margins – 84.5% and Scaling

Human-Proof Business Strategies That AI Can't Kill

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

Industries at High Risk vs. AI-Resistant Businesses

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

The Experiment: An AI-Generated Newspaper

AI Art and the Copyright Conundrum - The Court Strikes Back, Again..

Introduction: AI, Creativity, and the Law

Inductive Moment Matching - The Next Leap in Generative AI?

You might like

Avinash

Featured

Reasoners - A New Approach to Smarter AI

Generative AI - The New Compiler

How Prompt Keywords (Magic Words) Optimize Language Model Performance

Sunil Ramlochan

Posts by Sunil Ramlochan

DeepSeek’s Insane Profit Margins – 84.5% and Scaling

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

Industries at High Risk vs. AI-Resistant Businesses

The Experiment: An AI-Generated Newspaper

Introduction: AI, Creativity, and the Law

You might like

Avinash

Featured