Despite the hype around generative AI, I’m not sure we’ve yet discovered the best use cases for generative AI, at least in the context of social media.
Of course, generative AI is separate from social media. They are only coordinated under the larger framework of ‘technology’. However, social platforms now play a very important role in how we interact, and logically, social platforms should seek ways to incorporate them into the generative AI shift in order to maximize engagement. Become.
But so far there are some pretty average AI concepts within social apps.
Snapchat launched “My AI” in February, allowing users to chat and ask questions to AI bots within the app.
It’s about 10 minutes of interesting content.
AI-powered visual creation tools are also being developed for both TikTok and Instagram, providing AI-based filters and selective creative tools.
Again, interesting, but not amazing.
And now, Snap is working on another visual AI element, titled “”, and trying to make it look more innovative.dreams‘.
It was shared by an app researcher as you can see in this screenshot Alessandro PaluzziSnap’s new “Dreams” project leverages generative AI to allow you to place your likeness in a created area.
So another authoring tool based on text prompts, but with a different frame composition.
In addition to this, text-based generative AI options are also being introduced to social apps such as AI summaries and LinkedIn’s post creation options. While this seems like the opposite of what most people want from a social app: connecting with real people, both Meta and Twitter are also adding new generative AI elements that have yet to be revealed. developing.
Don’t get me wrong. The latest batch of generative AI tools is amazing in that it can do far more than we thought possible even this time last year. However, despite the hype, it seems that the actual practical use cases for these tools are still not as extensive as many have proclaimed.
Is it possible that AI will take your job? requires people with practical knowledge and expertise. Because AI tools make a lot of things. You might think that this would improve over time, but for now, the “hallucination” element in the textual sense doesn’t reduce the workload of written content as much as you might think. Is not …
Visually, there are some great opportunities, but for the most part they still seem a bit out of place. On the other hand, in many other cases, the challenge people face when creating visual content is not actually creating the image, but figuring out what to create in the first place. In this regard, generative AI does not solve the key problem of inspiring creativity, even if it offers more means to experiment and bring concepts to life.
In some ways, this means that the lack of astonishing generative AI options in social largely reflects broader trends. The technology is great, but real-world practical applications are mostly not as advanced as some reports. Why don’t you think about it?
There are a variety of ways generative AI will play a key role in the workforce shift, and they open up a whole host of new opportunities. But what’s interesting is that given the underlying functionality these tools offer, the best thing you can think of for a social app right now is background-changing tools and gimmicky chat tricks.
Generative AI has the potential to change the way we interact with technology, but we are still in the early stages of this change.
