Generative AI
Also known as: GenAI, gen AI, AI content generation
AI models that produce new images, video, audio or text from patterns learned in training, as opposed to models that only label or sort what already exists.
Updated
What it means
Most older AI in video was analytic: it detected faces, classified scenes or found cuts. Generative models go the other way and create pixels, sounds or words that were never recorded.
Several families do the work. A Large language model writes text, a Diffusion model builds images and clips out of noise, and audio models compose music or clone voices. Many tools now chain them, so one Prompt can yield a script, a picture and a soundtrack.
For people who film real sport and travel, the line between the two kinds matters. Footage of a real descent is a record; a generated one only looks like one.
How it works in practice
Generative tools already sit inside everyday editing. AI upscaling invents detail to fill a larger frame, Frame interpolation creates in-between frames for slow motion, and generative fill extends a background past the edge of a shot.
Text-to-video systems can produce a short scene from a description, useful for an intro card or a storyboard but not for showing what actually happened on the hill.
Background music is the area most riders meet first. Generated tracks avoid the licensing trouble of famous songs and can be made to a set length.
What to watch out for
Generated content can be wrong in confident ways. A model may hallucinate an extra hand, warp a logo or blend two riders into one, and the error is easy to miss at full speed.
Altered footage loses trust. A Recruiting video or a contest entry that has been visibly enhanced invites the question of what else changed, and some platforms now ask creators to label synthetic media.
Training data raises rights questions that are still being argued in courts, so check the terms of any tool before using its output commercially.
How RawClip handles it
RawClip uses AI to understand footage rather than invent it: a video model watches what you filmed and picks the real moments, which are then cut from your own files. The one generated element is the soundtrack, on by default and easy to switch off. None of your recordings ever feed the training of AI models.