Snapchat Tests New ‘Dreams’ Element as Social Apps Continue to Develop Generative AI Elements

Generative AI is a technology that has created an enormous buzz in recent times. However, we have yet to find an optimal use case for it when it comes to social media. While generative AI is an independent concept, social media platforms are looking for ways to integrate it into their platforms to improve engagement. But most AI concepts on social apps are average at best.

Snapchat’s ‘My AI’

Snapchat launched ‚My AI‘ in February, which allowed users to chat with an AI bot and ask it questions within the app. Although it may be interesting for a few minutes, it is not a very useful feature. There are also visual creation tools, powered by AI, being developed for both TikTok and Instagram, which will allow users access to AI-based filters and selective creative tools.

While this move is intriguing, it’s not groundbreaking. Snap is now working on another visual AI element, which it’s trying to present as something more innovative, calling it ‘Dreams’.

‘Dreams’ Project

Snapchat’s new ‚Dreams‘ project is intriguing as it lets users place their likeness in artificially created settings, powered by generative AI. It seems like yet another AI-based creation tool guided by text prompts.

Text-based generative AI options are also becoming part of social apps, such as AI summaries and post creation options on LinkedIn. However, this seems to be the reverse of what most people crave in social apps – actual human interaction through social media. Meanwhile, both Meta and Twitter are developing new generative AI features that they have yet to unveil.

The latest batch of generative AI tools are impressive in what they can do, things that we wouldn’t have thought possible even a year ago. But despite the hype, the practical use cases for these AI tools seem not as extensive as some may hope, especially when you consider that humans still need working knowledge and expertise to ensure that the AI-generated outputs are correct and make sense.

AI-generated output cannot be accepted as correct straightaway because these tools make things up most of the time. While it’s expected that they’ll improve it over time, the ‚hallucinations‘ generated by AI in a text sense don’t lessen the workload for creating written content as much as people think it would.  

Visuals and Generative AI

The opportunities that generative AI offers in the visual arts are remarkable. However, in most cases, the output looks a little off while, in many others, it’s not about creating the actual image but figuring out what concept to create. In this context, generative AI doesn’t quite address the key problem of sparking creativity, even though it provides means to experiment.

The lack of game-changing generative AI options on social media is indicative of what is happening in the broader trend – the technology is great, but the practical application is still behind. Generative AI can alter the way we interact with digital devices, but for now, the shift is still in the initial phases.

Generative AI offers new opportunities within the workforce, but it’s interesting to take note that social apps‘ best use at the moment includes gimmicky chat tricks and background-changing tools, given the radical capability of these tools.