Are AI Tools Worth Paying For? What the Data Actually Says
1B transactions: AI apps convert 52% better but retain 30% worse. Is ChatGPT Plus or Claude Pro worth paying for?
1B transactions: AI apps convert 52% better but retain 30% worse. Is ChatGPT Plus or Claude Pro worth paying for?
Anthropic published the most serious study on AI and employment. Nuanced data that goes against both narratives.
OpenAI, Google, Meta and Anthropic compete for military contracts. Silicon Valley's pivot to the Pentagon is real.
Stanford identifies artificial flattery as one of AI's major problems in 2026. If you've used ChatGPT lately, you know exactly what they're talking about.
OpenAI integrates X/Twitter data into ChatGPT. What it means when your chatbot drinks from Musk's fountain.
A free workspace with GPT-5.2 for writing papers in LaTeX. But the real news isn't Prism: it's what it represents about where AI is heading.
Companies that went all-in on AI cloud are pulling back. Latency, costs and vendor lock-in force a rethink.
The internet is filling up with mass-produced AI garbage. What AI Slop is, why it's a problem, and how to tell real content from noise.
GenBI: talk to your data in natural language. What works, where the limits are, and why it won't replace analysts.
The truth about AI projects in SMBs. What works, what doesn't, actual costs, and how to avoid wasting money.
Low costs, high performance, open source... and your data on Chinese servers. Risk analysis and alternatives for Western companies.
The story of how I went from a stuck analyst making reports to actually understanding how data works. And why you should consider it.
Do language models reason or just improvise? The answer through Kahneman's framework and what it means for how we use them.
The AI tools I use daily for coding, automation and productivity. No sponsorships, just what actually works.
The best professionals don't send resumes or negotiate salaries. If you want premium talent, you must play their game.
What AI can actually do for your business. Real cases, realistic expectations, and why those who say "impossible" are usually the ones who don't know how.
Most dashboards are corporate theater. Decisions are made by gut feeling and justified with data afterwards.
Random jobs and failed projects aren't wasted time. Every experience adds context that accumulates.
The godfather of AI bets $3.5 billion on a different architecture: World Models.
Who wins, who loses, and why you should care. Analysis of massive AI investment and its bubble signals.
The J-curve of adoption nobody tells you about. Why productivity drops before it rises when you adopt AI.
Why companies buy AI without having their data ready. The data plumbing problem.
A year of real data using AI to code. My Cursor usage graph and why I jumped from model to model.
AI adoption data in Spain in 2025 and what it means for those who work with data. A view from Andalusia.
AI costs dropped 1000x in two years. If you're not using it, it's not about money. It's fear, ignorance, or laziness.
Excel has been around for 40 years and hardly anyone masters it. AI will be the same. Your edge isn't the tool—it's how long you've been using it.
FFXVI vs a French indie studio. Why designing by metrics kills the experience and what your business can learn from it.