Iearly March, The Tribune headline said: “Zuckerberg Quietly Buries Metaverse,” reads the subheading, “After idea failed and expected revolutionary impact, Metaverse quietly taken down to focus on AI.”
Did Meta (META) CEO Mark Zuckerberg really fill the Metaverse? Or is this just the Tribune’s own interpretation? increase. This is not an actual quote from Zuckerberg’s post, but what the Tribune deduced what it meant.
Here’s what Zuckerberg actually wrote:
Given the recent hype around ChatGPT, it’s no surprise that Meta is focused on artificial intelligence (AI) and generative AI. Meta is the creator of Google, Apple and ChatGPT, and he has been involved in the strategic AI positioning of other big technology companies such as Microsoft, which has invested in OpenAI, with plans to invest several years and billions of dollars. I’m just there.
Apple CEO Tim Cook recently said so [AI] is our main focus. It’s incredible in how it can enrich the lives of our customers, and we believe Apple has huge potential to impact virtually everything we do in this space. increase.
Cook’s comment that AI “will affect every product in every service we have” is important, and how other tech giants envision and position the impact of AI, as well as Most importantly, why are they motivated to invest heavily in this technology?
After all, “any product or service” includes the metaverse.
Zuckerberg said Meta will bring together teams working on generative AI across the company into one group to “build fun experiences with this technology into all of our different products.” The statement is consistent with Cook’s views on the impact of AI, and Zuckerberg also said, “In the short term, we plan to focus on building creative and expressive tools. We will continue to focus on developing AI personas that can help people in many ways.”
Meta’s long-term view is very compelling, suggesting that Meta may not be “buried” in the metaverse, but may be positioned to invest in further enhancing the experience and usability of the metaverse. There is a possibility that Metaverse works and works.
Why is AI important to the existence and scalability of the Metaverse, and how will it accelerate the Metaverse and create seamless virtual realities beyond our imagination?
To answer these questions, let’s first consider how virtual spaces such as the Metaverse have been portrayed in science fiction literature and movies. Pop culture has a way of influencing real-world innovation, so it’s worth paying attention to this particular factor.
from the oasis ready player one
“The reality is a shame these days. ready player oneIn the novels and movies set in 2045, the world is on the brink of collapse, but the virtual reality universe OASIS gives people something to find hope in.
in the meantime ready player one A sci-fi story about contests in virtual communities, it draws many parallels to the rise of the Metaverse. OASIS allowed hosted avatars to be customized to personal tastes, and people could purchase items and outfits to use in the game, and those purchases had real value. OASIS can be read as a metaverse description. Science fiction is moving from fiction to attainable reality due to exponential advances in technology, especially AI and generative AI.
What impact will AI have on the metaverse?
Virtual spaces can technically exist without artificial intelligence, but the combination of AI and virtual reality (VR) can unlock a whole new level of realism.
Accurate avatar creation
Users are at the center of the metaverse, and the accuracy of user avatars determines the quality of experience for users and other participants. AI engines can analyze 2D user images or 3D scans to create highly realistic simulated renditions. You can then plot different facial expressions, emotions, hairstyles, aging-induced features, etc. to make your avatar more dynamic. Companies like Ready Player Me are already using AI to create avatars for the Metaverse, and Meta is working on its own version of the technology.
Empowering 3D Chatbots – Digital Humans
Don’t confuse digital humans with avatars. An avatar is a controlled representation of a user, a replica of another person, whereas a digital human is his AI-enabled non-playing character (NPC) in a video game that can react and respond to user actions in the VR world. ). Digital humans are built entirely using AI technology and are integral to the Metaverse landscape. From his NPC in gameplay to automated assistants in VR workspaces, there are countless applications, with companies like Unreal Engine and Soul Machines already investing in this direction.
multilingual accessibility
In the Metaverse, users can communicate smoothly with AI even if they do not speak the same language. AI recognizes a user’s natural language, converts it to machine language, and from there converts it to a natural form for delivery to another user. The whole process is just a split second, like a real conversation. The best part is that the results can be translated into any language as the AI is trained, making the Metaverse accessible to users around the world.
Enabling Data Learning – Augmenting Large VR Worlds
Artificial intelligence finds patterns in large amounts of data and predicts possible outcomes through machine learning. Over time, our predictions will improve and become more accurate and better. AI-powered data learning is valuable because it is expected to replace the human factor in data collection operations in the future. Ultimately, AI will be able to perform tasks and provide output much like humans do. Companies like NVIDIA are training AI to create entire virtual worlds. This breakthrough helps drive scalability of the metaverse as new virtual worlds can be added without human intervention.
intuitive interface
AI can also assist in human-computer interaction (HCI). When you put on a sophisticated AI-enabled VR headset, its sensors read and predict your electrical and muscle patterns to know exactly how you want to move in the metaverse. AI can recreate real haptic sensations in VR and assist with voice-enabled navigation, allowing you to interact with virtual objects without using hand controllers.
Keep in mind that Meta will continue to invest in and produce VR headsets. A headset is a piece of hardware that provides access to the metaverse. Without hardware, you can’t experience the virtual world. The headset also has built-in software that enables data collection and monitoring, and AI integration also enables all of the above features and interactions.
When Meta collects data via headsets, this data not only enhances existing AI algorithms, but also creates new and better models based on information about people’s interactions in the Metaverse collected via headsets. It can also be used to create sophisticated algorithms. physical and mental behavior. And when brain waves are collected via the Brian-Computer Interface (BCI), a direct link to someone’s brain opens up new types of data to be collected and analyzed.
Importance of AI in the Metaverse
Metaverse AI enables user interaction, data processing and protection, building avatars and chatbots, and a wide range of additional features that create authentic experiences.
AI can analyze your image and create avatars that mimic your gestures and facial expressions, and even simulate your voice. AI processes natural language, potentially allowing millions of users around the world to understand each other. In this way, AI can help increase inclusiveness and reduce discrimination.
Users and businesses that offer unique entertainment, learning, or employment opportunities can benefit from Metaverse AI. Leverage AI to analyze user experience to enhance services and product lines, ultimately increasing revenue.
AI Integration Challenges in the Metaverse
The metaverse is a new realm of research and operations, and AI implementations can be problematic. Here are some challenges to consider:
- Ownership of AI-generated content: Who can own and benefit from the copyright of AI-generated content and VR worlds?
- Deepfakes and User Transparency: How do you make sure users are interacting with AI or humans? How do you prevent deepfakes and fraud?
- Fair use of AI: Can users legally apply AI technology to metaverse interactions? For example, can AI code be used to win games?
- Right to use data for AI model training: How can AI be ethically trained for the metaverse? What are the relevant consent mechanisms?
- AI bias accountability: What steps can humans take if a digital human or similar AI algorithm exhibits bias?
AI is an extremely important technology. Without AI, it’s difficult to create engaging, authentically scalable metaverse experiences. Recognizing the enormous potential and risks of technology, companies like Meta are working closely with think tanks and ethics groups to stem the risks of AI without limiting the possibilities of technology.
Meta’s Approach to AI in the Metaverse
In March 2022, Meta held an event titled “Inside the lab: Building for the metaverse with AI.” This is a step for Meta to unlock the Metaverse with his AI.
“At Meta, we work on a variety of technologies, from virtual reality to designing our own data centers. We will focus on the most important underlying technology: artificial intelligence,” Zuckerberg said.
Jérôme Pesenti, Meta AI leader and co-managing director of Meta AI Research, says AI is one of the keys to the Metaverse. spoke of the mission of Meta AI To bring the world closer together by advancing AI through breakthroughs in AI research and improving Meta’s products through them.
Clearly, Meta has not filled the Metaverse. just against.
It seems that Meta has always invested heavily in AI, not only to explore the Metaverse, but also to enhance its products and services. The March event highlights Meta’s understanding of the critical role and impact of AI in the Metaverse, and why they are focusing on AI. The recent hype for ChatGPT has only given Zuckerberg an opportunity to strengthen his thoughts, vision, and investment decisions on AI. Zuckerberg certainly understands that commanding AI can lead to commanding the Metaverse.
The views and opinions expressed herein are those of the authors and do not necessarily reflect those of Nasdaq, Inc.
