Open-source technology, originally defined as the public publishing of digital resources alongside their source code to allow use, study, modification, and redistribution, now spans software, hardware, educational content, and AI models. Its benefits include lower costs, customization, transparency, interoperability, and reduced vendor lock‑in, while also introducing cybersecurity and maintenance risks. By 2022, 80‑96% of all software code—both open and proprietary—originates from open‑source components, a share driven by public, private, and academic adoption for cybersecurity, digital sovereignty, and independence. In AI, open‑source models such as BLOOM, LLaMA, and permissively‑licensed projects like Mistral’s 7B and Mixtral 8x7B have proliferated, though the community debates what truly qualifies as open (e.g., "openwashing" where only weights are shared). The field now features massive open‑weight models, exemplified by the 2.8‑trillion‑parameter Kimi K3 (July 2026). Open‑source foundations are also becoming the backbone of enterprise AI agents, yet "open" does not eliminate lock‑in; fragmentation across vendors shifts competitive advantage to orchestration rather than protocol ownership. Practically, open source expands technological freedom and innovation speed, but organizations must manage increased responsibility for component security, supply‑chain visibility, and interoperability across divergent implementations. [1] [2] [3]