Claude Code's Silent Downgrade
AMD analyzed 6,852 Claude Code sessions and the data is damning. Leaked source code confirms silent Opus-to-Sonnet fallback.
Posts about opinion
Anthropic's Wild March: Mythos, Computer Use and GPUs
Anthropic leaked its most powerful model, shipped Computer Use on Windows, and exposed 24,000 Chinese accounts distilling Claude. Here's what it all means.
Anthropic just cut off third-party harnesses
Your Claude subscription no longer covers external harnesses like OpenClaw. Pay-per-use is now mandatory, plus free credits and what it means for the ecosystem.
OpenAI Killed Sora: $15M/Day Costs, $2.1M Revenue
Sora cost $15 million a day to run and made $2.1M total. What this reveals about the real economics of generative AI.
NeuralFlow blocked by LaLiga: what's happening and how to fix it
Spain's LaLiga football league blocks NeuralFlow every weekend on major ISPs. Not a bug — collateral censorship via shared Cloudflare IPs. Here's the full story.
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?
Will AI Replace My Job? What the Data Says
Anthropic published the most serious study on AI and employment. Nuanced data that goes against both narratives.
AI and the Pentagon: Silicon Valley's New Battleground
OpenAI, Google, Meta and Anthropic compete for military contracts. Silicon Valley's pivot to the Pentagon is real.
LLM Sycophancy: AIs That Only Tell You What You Want
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.
ChatGPT drinks from Elon Musk's fountain
OpenAI integrates X/Twitter data into ChatGPT. What it means when your chatbot drinks from Musk's fountain.
OpenAI Prism: the end of the generic chatbot
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.
On-premise is back: why companies are fleeing AI cloud
Companies that went all-in on AI cloud are pulling back. Latency, costs and vendor lock-in force a rethink.
AI Slop: why we're sick of AI-generated content
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: the end of the data analyst bottleneck
GenBI: talk to your data in natural language. What works, where the limits are, and why it won't replace analysts.
Implementing AI in small business: the real truth
The truth about AI projects in SMBs. What works, what doesn't, actual costs, and how to avoid wasting money.
DeepSeek: cost, performance and data sovereignty
Low costs, high performance, open source... and your data on Chinese servers. Risk analysis and alternatives for Western companies.
From dashboard guy to Data Engineer
The story of how I went from a stuck analyst making reports to actually understanding how data works. And why you should consider it.
How AI thinks: System 1 and System 2 in LLMs
Do language models reason or just improvise? The answer through Kahneman's framework and what it means for how we use them.
My AI development stack in 2026: what I use and why
The AI tools I use daily for coding, automation and productivity. No sponsorships, just what actually works.
Premium doesn't chase
The best professionals don't send resumes or negotiate salaries. If you want premium talent, you must play their game.
"That's impossible" — ignore whoever says it
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.
Why nobody looks at your dashboard
Most dashboards are corporate theater. Decisions are made by gut feeling and justified with data afterwards.
Why your "failures" are your greatest advantage
Random jobs and failed projects aren't wasted time. Every experience adds context that accumulates.
LeCun leaves Meta: LLMs won't reach human-level AI
The godfather of AI bets $3.5 billion on a different architecture: World Models.
90% of your data is garbage nobody knows how to process
Why companies buy AI without having their data ready. The data plumbing problem.
95% see no results with AI (and why that's normal)
The J-curve of adoption nobody tells you about. Why productivity drops before it rises when you adopt AI.
The AI bubble: 7 trillion looking for returns
Who wins, who loses, and why you should care. Analysis of massive AI investment and its bubble signals.
Don't be a fanboy of any model
A year of real data using AI to code. My Cursor usage graph and why I jumped from model to model.
36% of Spanish companies now use AI: what it means for you
AI adoption data in Spain in 2025 and what it means for those who work with data. A view from Andalusia.
Using AI cost $1000. Now it costs $1. What's your excuse?
AI costs dropped 1000x in two years. If you're not using it, it's not about money. It's fear, ignorance, or laziness.
AI won't take your job. Someone who uses it better will.
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.
What Square Enix forgot about product design
FFXVI vs a French indie studio. Why designing by metrics kills the experience and what your business can learn from it.