Does using different AI models makes any difference?
The critical question for professionals: Is it smarter to master one GenAI model or strategically mix and match specialized tools for superior outcomes? I break down the efficiency trade-offs.
When AI ate a cookie from Amsterdam? How to recognize?
How often is AI accurate? I dive deep into the numbers, from the best-in-class 99.3% accuracy rate to the shocking truth of confident lies. Discover what benchmarks mean and why you need to apply the verification tax to every AI output.
Math puzzle challenge AI models
I tested 6 top AI models (ChatGPT, Gemini, Copilot, etc.) with a classic "three 3s" math puzzle. The results highlight a major problem: AI models lack elegance and overcomplicate simple solutions.