ChatGPT is the new iPhone and other trends

ChatGPT is the new iPhone and other trends

ChatGPT is the new iPhone and other trends

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Why ChatGPT is having an iPhone moment (with a unique twist)

Exactly three weeks ago, OpenAI released ChatGPT. Since then, it has been nearly impossible to keep up with both the hyped-up excitement and brow-furrowing concerns around use cases for the text-generating chatbot, ranging from the fun (writing limericks and rap lyrics) to the dangerous (threat actors using it for generating phishing emails) and the game-changing (could Google’s entire search model be upended?).

Is it possible to compare this moment in the evolution of generative AI to any other technology development? According to Forrester Research AI/ML analyst Rowan Curran, it is. Apple’s iPhone was not the first smartphone, but it buried the competition with its touchscreen, ease of use and introduction of apps that put an entire computing experience in our pockets.

Exactly three weeks ago, OpenAI released ChatGPT.?

Since then, it has been nearly impossible to keep up with both the hyped-up excitement and brow-furrowing concerns around use cases for the text-generating chatbot, ranging from the fun (writing limericks and rap lyrics) and the clever (writing prompts for text-to-image generators like DALL-E and Stable Diffusion) to the dangerous (threat actors using it for generating phishing emails) and the game-changing (could Google’s entire search model [subscription required] be upended?).

Is it possible to compare this moment in the evolution of generative AI to any other technology development? According to Forrester Research AI/ML analyst Rowan Curran, it is.

“The only thing that I’ve been able to compare it to is the release of the iPhone,” he told VentureBeat. Apple’s iPhone was not the first smartphone, but it buried the competition with its touchscreen, ease of use and introduction of apps that put an entire computing experience in our pockets. The release of the original iPhone in January 2007, followed by the launch of the App Store in July 2008, ushered in a period of historic technological change, Curran explained — when the mass public learned there was an entire universe of creativity and applications they could work with.?

It made people aware “that you could have this handheld computer that is basically like [having] a Star Trek tricorder in our hand — this thing with tons of sensors and capability,” he said.?

ChatGPT, like the iPhone, is changing public consciousness?

ChatGPT, too, is changing the public consciousness around what’s possible. But what’s happening now goes even beyond that, Curran pointed out.?

“I think what is really unique here is we have a technology that is useful today, that is advancing very quickly, and that we are all learning about in real time — in terms of both how to use it and how to prevent it being used in negative ways,” he said.?

ChatGPT’s release and adoption cycle has also been unique, he added. “There were a million users in the first few days or so — even if we assume a quarter of those are doubles, that is still hundreds of thousands of human brains who are all of a sudden playing with this technology, which is very much unlike any other way that we’ve had technology released and adopted,” he said.

Was this a responsible way to release ChatGPT?

While some have criticized the way OpenAI released ChatGPT — for example, venture capitalist, economist and MIT fellow Paul Kedrosky recently tweeted “[S]hame on OpenAI for launching this pocket nuclear bomb without restrictions into an unprepared society” — Curran insists it was “probably one of the most responsible ways that they could have introduced the public to this.”

OpenAI’s approach to iterating on ChatGPT and showing it to people stage-by-stage is “a really good way to get people acclimatized to this, because otherwise this would all be done behind closed doors at a large enterprise,” he said, pointing out that even for those paying attention and weren’t shocked by ChatGPT’s capabilities, advancements are coming at a remarkable pace.

“For the public to have gone right to whatever comes after ChatGPT, people would lose their minds when it came out,” he said. “I think OpenAI is trying to avoid culture shock with what they’re creating.”?

Potential for seismic change in the enterprise

Just as the iPhone and apps ultimately led to a revolution across all areas of the business — from software development and social media to customer service and marketing — Curran said he thinks ChatGPT and other generative AI tools could have a “seismic change” in the enterprise in 2023, if enterprises and vendors are deliberate about how they adopt the technology.

“If we can avoid any immediate short-term, major, negative press events around this, I think the adoption will be quite deep, because the appetite is really strong right now,” he said. “You see the ease with which people are already integrating [generative AI] into existing systems of work, with a bottom-up approach — you can see this with Shutterstock, for example, which two months ago integrated DALL-E, and now Microsoft has a beta-access product called Designer, which is basically a text-to-image generator integrated with PowerPoint.”

Implementing best practices is still essential

And no matter whether it is ChatGPT or any other generative AI capabilities, implementing best practices is still essential, Curran said.

“I think we’re still all collectively figuring that out what the exact best practices are, but there is no reason to not continue to implement best practices around understanding your vendor solutions,” he said. “If you’re getting a large language model through a vendor, what model are they using? What was the base training data? What is the fine-tuning of the training data? How are they auditing this model?”

In the past, he added, enterprises have been burned by new technologies. “We never seem to really learn that when new technology comes along, we should be deliberate about its adoption,” he said. “But this time around, because there’s so much possibility for people to get involved at a grassroots level, we can actually have people step in and say, okay, I want to participate in this governance

3D content creation is becoming a major strategic asset for brands

Brand marketers will be on the front lines of the metaverse, taking the first steps toward a new type of 3D content creation. At VB’s MetaBeat event, leaders from Adobe talked through what it’s going to take for brands to harness the opportunity – like leaning on simplified, seamless workflows, drag-and-drop interfaces, libraries of pre-made content, and lots of education and practice. Catch up on the whole conversation and what it will take to create content necessary for 3D-data devices.

The 3D learning curve

To tech audiences the basic idea of the metaverse is nothing new; for brand marketers, it’s a whole new world of opportunity — a brand new audience with a very different focus and a very different learning curve.

“A lot of people come to 3D via the metaverse buzz,” Townley said. “Community and education and learning are going to be critical. 3D is notoriously pretty technical and complicated. So how do you make it approachable and a bit more simplified for people to grab onto? Because it’s not just 3D experts that we need. We need everybody to be doing 3D.”

Brand marketers will be on the front lines, taking the first steps toward a new type of 3D content creation, and will need to lean on simplified, seamless workflows, drag-and-drop interfaces, libraries of pre-made content, and lots of education and practice. Right now, most folks don’t have devices that can immediately leap to real-time interactive 3D, so bridging the gap there will be another important first step, said Guido Quaroni, senior director of engineering.

“The one thing to also be mindful of is, how do we start doing this process that’s a gradual transition over time?” he added. “I would say that it’s important right now to choose the right content at the right time for what we can do now, and then start thinking about how we can scale over time.”

To that end, one of the biggest challenges is building a real pipeline that you can replicate in the long term, said Pierre Maheut, director of strategic initiatives and partnerships.

“Aiming at quality first, rather than trying to push something as quickly as possible,” he said. “It’s an internal learning curve, to have 3D experts internally who can drive the rest of the team, up to the more 2D-content-oriented people.”

That library of 3D content will become a company’s IP and strategic asset, Maheut added, pointing to IKEA, which has been building a 3D library for the last 20 years. IKEA products are designed in 3D, marketed with 3D images, and through AR, consumers will probably be able to shop for them.

Looking ahead at the future of 3D creation

The metaverse conversation is picking up momentum, the broader ecosystem is starting to take shape, and right now it’s impossible to predict what will happen over the short term. As Townley points out, the future holds everything from creative, interactive moments in the real world to enormous innovation in fields like industrial design, where plans and maps take shape and can be molded like clay in virtual settings, and tools continue to evolve to embrace new ways of working, looking at the world, and delivering brand-new technology.

“One thing that drives me these days is assuming that the devices of the future will consume 3D data. That means, how do we start setting a path with that goal in mind, to gradually follow the technological innovation, AI and all these systems together?” Quaroni said. “Thinking about that day, knowing that it’s going to be bumpy, not necessarily predictable right now, but what is the ultimate goal, and how do we create tools that have that mindset in mind? I’m not saying PDF will disappear and nobody will print anything anymore. But that’s most likely the place where we’re going to live.”

How deep learning will ignite the metaverse in 2023 and beyond

The metaverse is slowly evolving into a mainstream virtual world where you can work, learn, shop, be entertained and interact with others in ways never before possible. Organizations that use the metaverse effectively will be able to engage with both human and machine customers and create new revenue streams and markets.

However, most of these metaverse experiences will be able to progress only with the use of deep learning (DL), as artificial intelligence (AI) and data science will be at the forefront of advancing this technology. As an essential aspect of the metaverse’s immersive interface, deep learning technologies now aim to further enhance realistic AI storytelling, creative partnering and machine understanding.