ChatGPT is being integrated into many apps, and the trend is increasing by the day. A record number of people are connecting to ChatGPT. Next, OpenAI creates a customizable micro-GPT and stores that sell them. Following that announcement, Mobile, Wearable AI Pin By Humane. The AI Pin costs a modest $699, which is significantly cheaper than many modern smartphones. Traditional apps and websites are caught in the middle of these rapid developments.
ChatGPT, like other generative AI (GenAI) models and applications, is adept at understanding and delivering what people want. Given that consumers and businesses alike can summon most of what they need from GenAI through a simple voice, image, or text prompt, why go directly to a separate app or website?
Will this lead to the end of apps as we know them? And will this kill off related industries like search engine optimization (SEO) and online advertising? I’ll probably wait and see or maybe look into it. Either way, it’s a pretty safe bet that big changes are in store.
GenAI in the role of super app
By “super app” we mean a single application that can handle any request. If you remember his HAL from the movie 2001: A Space Odyssey, you get the point of super apps, even if your head turns to a very dark example of a non-existent kind of AI. At least not yet.
But it’s not wrong to picture a super app as an AI model with a single, unified user interface. The ideal form would be an artificial general intelligence model fit for the world of science fiction, but the generative AI models that currently exist are powerful enough to be the next best thing.
“Super apps need human-level social intelligence, and we’re just scratching the surface. If you think about JARVIS from Iron Man, his social skills are a huge part of his communication. ,” says Rahul Rajan, human-computer interaction expert and co-founder and chief AI officer at Uplift Labs.
GenAI and its applications, such as ChatGPT, are engaging or conversational. largely However, encounters with humans are not everything. Unfortunately, when providing engaging conversation, it can be difficult to determine whether it’s helpful or not.
There are good reasons not to trust AI. ChatGPT and other generative AIs and large-scale language models (LLMs) have proven to be unreliable due to frequent hallucinations. Even when there is no need to falsify data, people may blatantly lie.
“For example, if you ask a conversational model what color the sky is, most of the text it processes will say ‘blue,’ but it will eventually say ‘red’ or ‘yellow,'” says Jose Cervi. says. , Executive Principal Security Consultant at NCC Group.
This issue is especially common when AI applications like ChatGPT are used with a one-size-fits-all problem approach. Meaning ChatGPT is used to answer any question at any time, without restriction. Micro GPT is specialized and usually he deals with one problem, so this problem is less likely to occur. Still, GenAI of all stripes is full of bugs.
This becomes a problem when accurate information is essential, such as medical, legal matters, and a variety of questions where life, limb, liberty, money, or even simple peace of mind is at stake.
“To transfer control [to AI], you have to trust, and trusting tests a very primitive human innate instinct. Of course all of that is possible, but it’s not about the technical capabilities of AI, it’s about the gray areas that make us human,” says Rajan.
to call
But there is more at stake here than a lack of social etiquette or trust. It turns out that lip service isn’t the path of least resistance to completing some tasks.
“Many user interfaces (UIs) are still more efficient than voice or text. [AI prompts]. For example, it’s faster to crop a photo with the click of a few buttons than to specify exact dimensions,” says Randall Hunt, vice president of cloud strategy and solutions at Caylent.
If using your app is, or is perceived to be, easier than using AI, users are likely to continue using your app, at least in the short term. “In the long term, all of these interface issues are likely to be solved by increasingly sophisticated technologies,” says Hunt. Interestingly, some of the more advanced technologies are already in use, such as autonomous AI agents.
Then there’s Humane’s recently introduced mobile, wearable AI pin. It’s more affordable than many modern smartphones, and could be the harbinger of the end of the phone.here it is A short video about how it works.
AI pins, and no doubt similar mobile AI form factors from glasses to tattoos, will call our jobs without a phone.
channel this
Some say whether AI eats apps is the wrong question. It may be a matter of personal preference in communication channels. At least in the short term.
“We also have websites, mobile apps, and call centers, all of which are interfaces between customers and companies. AI chatbots are an additional interface that will soon be deployed by many companies, but “People can still choose which interface they prefer, just as some people prefer calling a call center and others prefer calling a call center,” said NCC Group, a global security consultancy. says Jose Cervi, Executive Principal Security Consultant at .
Some say envisioning AI models as just another channel is too narrow and misses the point.
“One way to think about generative AI is to think of it as a new, powerful operating system. Like traditional operating systems, generative AI provides very general-purpose resources and tools, but in some cases general-purpose Sometimes it’s too much,” said Michael Kearns, professor of computer and information science in the University of Pennsylvania’s School of Engineering and Applied Sciences.
“So I envision a future where apps and websites still exist, but are powered by an underlying generative AI operating system. I also envision a future where apps and websites still exist, but are powered by an underlying generative AI operating system. I also envision a future where apps and websites still exist, but are powered by an underlying generative AI operating system. remains valuable and attractive to users,” Kearns adds.
Appplosion and Appocalypse
There is a camp that believes AI will cause an explosion of apps, but it won’t be the end of apps. Admittedly, some, but not all, members of this camp make a living from creating and selling traditional apps. But that doesn’t mean they’re wrong.
“AI will not kill apps; in fact, the opposite may happen. As the core business logic, algorithms, and workflow-related trade secrets become less complex, apps are likely to grow significantly. Yes, you just build the front end and create the interface for your use case,” says Jimmie Lee, CTO of XFactor.io, an AI-powered go-to-market platform.
“Since most of the population is not tech-savvy enough to understand the complexities of generative AI, the ultimate goal is simplicity and the ability to integrate tools like ChatGPT through buttons and widgets within apps. It will be facilitated,” Lee added.
However, this is pretty much what OpenAI is doing with micro-GPT and the soon-to-be-launched GPT store. So, by flipping the model from an app stuffing AI into a widget to AI with an app underneath it, AI could have defeated developers once and for all.
Still, we’ll have to wait and see who wins in the end. For now, there are quite a few wildcards left.
“Generative AI models can and should be used to support and enhance apps, rather than replace them. AI-powered apps process information faster and connect unconnected data. “We provide users with the ability to connect and build richer contexts to improve their in-app experiences by making faster, data-driven decisions,” said Infosys Senior Vice President and Global said Sunil Senan, Head of Data, Analytics and AI.
At the end of the day, whether apps or AI will win this battle will come down to which one provides more value.
“You can no longer just add chatbots to your apps or services just because your competitors are adding them. Organizations need AI-powered apps to deliver more value to their users. “We’re starting to realize that,” Senan adds.