The Hardware Crisis: Why Your Next Laptop Will Cost 20% More
RAM +344%, SSDs +100%, laptops +20%. AI data centers are devouring the world's chip production. Welcome to the hidden cost of the AI revolution.
RAM +344%, SSDs +100%, laptops +20%. AI data centers are devouring the world's chip production. Welcome to the hidden cost of the AI revolution.
42,000 exposed instances, critical vulnerabilities, and three rebrandings in three months. Why the most hyped project of the moment gives me more pause than excitement.
Google launches conversational analytics in BigQuery with native AI. Natural language queries, AI.CLASSIFY and AI.SCORE functions. The future of data analysis is here.
70-80% of agentic AI projects die before production. Real cases from Equinor ($330M saved) and Travelers (20,000 users, 50% claims automated).
It's been discovered that ChatGPT is using data from Grokipedia, xAI's encyclopedia. The uncomfortable question: who decides what's 'truth' for your AI assistant?
Nvidia just paid $320M for Gretel Labs. The synthetic data market is exploding. What it is, why it matters, and why you should care.
A Basque company uses NLP to read 200-page tender documents and generate proposal drafts. No hype, no smoke, just measurable results.
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.
DeepSeek shakes the market, OpenAI and Anthropic compete for healthcare, 95% of GenAI projects don't generate ROI, and Spain gets an AI factory in Barcelona.
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.
What is Generative Business Intelligence, why ChatGPT+SQL doesn't work, and how the semantic layer changes the game. What it means for your career as an analyst.
After years of 'everything to cloud', companies discover they might not want their data traveling to third-party servers. Ollama, vLLM, and the return of control.
The truth about AI projects in SMBs. What works, what doesn't, actual costs, and how to avoid wasting money.
Do language models reason or just improvise? The answer through Kahneman's framework and what it means for how we use them.
The paradigm shift in machine learning: invest in data quality, not bigger models. Tools and practices to implement it.
Real comparison of the 3 most popular AI-powered IDEs. Pricing, models, workflow and which to choose based on your profile. Tested on real projects.
Low costs, high performance, open source... and your data on Chinese servers. Risk analysis and alternatives for Western companies.
Complete analysis of AI in Spain: adoption data, global comparison, the three big barriers, and opportunity sectors. Updated January 2026.
The AI tools I use daily for coding, automation and productivity. No sponsorships, just what actually works.
AI's energy demands are resurrecting Three Mile Island. Analysis of the nuclear renaissance driven by Big Tech and its implications.
While 95% of AI pilots fail globally, the Basque Country shows a model that actually works. Analysis of the BAIC 2025 diagnosis.
Studies from METR, MIT and California Management Review reveal AI isn't delivering the promised productivity gains. Data-driven analysis and what successful companies are doing differently.
While OpenAI promises to turn Argentina into an AI hub, families in Querétaro have been without water for months. Analysis of the Stargate project and its implications.
What Cursor is, how it works, when to use it vs Copilot, updated pricing, and tips to get value from day one.
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.
What is generative artificial intelligence, how it works, real examples, and why it's changing everything. No jargon.
74% of companies with AI agents report ROI in year one. What works, what doesn't, and how to move from pilots to production.
You don't need to pay $20/month. These are the best free AIs for 2026: which to use for what and when paying is actually worth it.
Practical guide to choosing between the big three LLMs. Pricing, capabilities, use cases, and which one fits your situation.
The 7 AI trends defining 2026: autonomous agents, small models, MCP, ROI focus and more. A guide for data professionals.
Complete DeepSeek guide for 2026. Free ChatGPT alternative: web, mobile app, and local installation with Ollama.
Complete guide to MCP, the standard connecting AI agents to your systems. How it works, available servers, and practical examples.
Everything you need to know to write effective prompts. From beginner to advanced, with practical examples and the limits nobody tells you about.
Complete guide to Power BI Copilot: requirements, Fabric pricing, how to enable it, real use cases, and honest limitations.
Beginner's guide: what an AI agent is, how it differs from ChatGPT, real examples, and where to start.
What World Models are, how V-JEPA works, and why Yann LeCun is betting $3.5 billion on them.
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.
The four types of errors in language models and which technique to use for each
17 prompt iterations revealed that the model finds the correct answer but self-censors for not being standard
How an exhaustive meta-prompt caused context overflow and reached the same error on a random walk problem
Practical guide to prompt v17b: a methodology for LLMs to identify and discard incorrect interpretations
Why separating contexts isn't enough for an LLM to self-correct: the problem of accepting counterintuitive results
AI adoption data in Spain in 2025 and what it means for those who work with data. A view from Andalusia.
My system for keeping Claude on track during long conversations and getting free documentation out of the process.
The time Claude Sonnet 3.5 decided the best way to fix a bug was to lie straight to my face.
An AI-generated docker-compose can work perfectly while having a massive security hole. Real case and checklist to avoid it.
78% of executives believe digital ecosystems will be built for humans AND AI agents. The window to position yourself is closing.
AI costs dropped 1000x in two years. If you're not using it, it's not about money. It's fear, ignorance, or laziness.
Employees copy sensitive data into ChatGPT without thinking. AI-powered phishing is more sophisticated than ever. Traditional security doesn't work.
AI models consume data faster than we create it. Quality internet content is almost used up. What comes next?
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.