Ethan Mollick, Professor of Management at the Wharton Business School, has a simple yardstick for the pursuit of the progress of the image generation functions of AI: ”Otter in a level with WLAN. “”
Mollick uses this prompt to create pictures of … an otter with Wi-Fi in a plane. Here is his results from a generative KI image tool around November 2022.
And here is his result in August 2024.
AI image and video creation are a more come long Way in A short Time. With access to the right tools and resources, you can make a video in hours (or even minutes) that would otherwise have been accepted with a creative team. AI can help almost everyone to create polished visual content that feels real – even if this is not the case.
Of course, AI is only a tool. And like every tool, it reflects the intention of the person it swings.
There is still someone for every Aerial -Oberer -Ethusiasten who created depths of presidential candidates. And it’s not just graphics: Models can create convincing articles in a loose fill, clone human voices and create entire fake social media accounts. Misorials used in scale to take serious operations, time and expenses. Now everyone can make the truth with a decent internet connection.
In a world in which AI can quickly produce polished content on the scale, social media become the perfect delivery system. And the effects of AI on social media cannot be ignored.
With misinformation, it is no longer just a matter of losing memes with a low effect in the dark corners of the network. Slicker, personalized, emotionally charged AI content is the future of misinformation. In order to understand the effects, we immerse themselves in the misinformation of social media and the role of the AI on both sides of the misinformation fence.
Social media misinformation today
What is misinformation?
Before I start, I should note how I will discuss the term “misinformation”. Technically speaking, this problem has some different flavors:
- Misinformation False information is shared …