
How AI Agents Work: From LLM to Feedback Loop
An AI agent combines LLM, memory, planning, and tools in an iterative cycle that decides, acts, and observes the result until the task is complete.
Practical guides and articles about AI and technology

An AI agent combines LLM, memory, planning, and tools in an iterative cycle that decides, acts, and observes the result until the task is complete.

Prompt injection exploits the lack of separation between instruction and data in AI models; the term was coined by Riley Goodside in 2022.

Created by Anthropic in 2024, the Model Context Protocol uses JSON-RPC 2.0 to connect AI models to external tools and data.

From Apple to Google, tech giants invest billions to reduce reliance on Nvidia. Understand why memory, not processing, has become AI's real bottleneck.

Explore the thermodynamics and electrical consumption behind Artificial Intelligence and the truth about the '23 atomic bombs of energy' claim.

An examination of the AI market in 2026: from billion-dollar valuations to actual ROI. Who's profiting and who's just burning cash?

Discover how AI evolved from simple interactions to autonomous systems capable of planning and executing tasks without supervision.