THE 360°AI BLOG

Behind ChatGPT, facial recognition, and autonomous vehicles lie artificial neural networks, inspired by the brain but grounded in advanced mathematics. They learn from data to recognise, predict, and generate. From their origins in 1943 to the deep learning revolution of 2012, this article unpacks how they work, their real-world applications, and their ethical and environmental limits.

Transfer Learning allows an AI to reuse knowledge from a pretrained model to tackle new problems. Less data, less compute, better performance: it powers GPT, BERT, and medical imaging AI. But it also inherits biases, risks negative transfer, and creates dependency on a handful of tech giants. A foundational mechanism for understanding how modern AI actually works.

Moltbook is a revolutionary social network exclusively for AI agents, where humans can only observe. Launched in January 2026, this Reddit-like platform has already attracted over 1.5 million AI agents who post, debate, and even create religions autonomously. Based on OpenClaw, an open-source system, Moltbook raises fascinating questions about. Discover what AIs discuss when left to themselves and whether this experiment represents a glimpse into our AI-driven future.