> For the complete documentation index, see [llms.txt](https://nextbook.technosemiotics.eu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nextbook.technosemiotics.eu/contemporary-ai-case-studies/case-study-problems-with-generative-technologies.md).

# Case study: problems with generative technologies

Until recently, language was the unique domain of human beings. Now, new language technologies challenge this assumption and enable the production of synthetically generated content. Additionally, deepfake algorithms enable the imitation of human voices and faces. It is increasingly difficult to recognise synthetic content as such. What does this mean for our culture(s)? How do text generators such as GPT-3 and deepfake technologies interfere with our traditional understanding of communication?

<figure><img src="/files/iaAvTWHHsYRqaVKSSwuo" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/eQawqnOH7o63EHXbeYol" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/YWON3tXurbpO4zTeIak4" alt=""><figcaption></figcaption></figure>


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