Analysis

9 articles

The energy cost of model training versus everyday use, the load on data centers, and the concrete steps being taken to cut consumption.

From enemy behavior to procedural world generation and voice acting, AI's real role inside game studios.

What are the risk models working behind a payment approved in seconds actually doing — and why do they sometimes block innocent transactions?

The fine line between where chatbots genuinely make a difference and the classic mistakes that drive customers up the wall.

From text scraped off the internet to openly licensed archives: where the data models learn from comes from, and the debates it has set off.

From red-team testing to the alignment problem, we've gathered the measures taken to prevent misuse of AI models.

We look at why evaluating AI systems for bias, transparency, and accountability is so critical.

We compare open-source and closed-source AI models on cost, data control, and maintenance burden.

From agent-based systems to multimodal models and regulatory developments, here are the themes set to shape the AI agenda in 2026.