Welcome to the first consumer AIoT network, GM Network, was developed using AltLayer and EigenLayer and was inspired by GM Labs.
In 2024, artificial intelligence is having a bigger impact on people’s life due to the quick development of several models such ChatGPT-4o, Gemini, and Llama3. Humans may now more easily experience the convenience of artificial intelligence (AI). Also, interact with it via speech, visual, and other channels thanks to smartphones, wearable technology, robots, electric cars, and other smart devices. Hardware devices are crucial bridges as AI spreads in the future. Moreover, the Internet of Things (IoT) is becoming more and more significant. Particularly consumer-facing IoT that is made smarter by AI and produces intriguing items like the Rabbit R1, Pin, and Oura Ring.
As a result, they created GM Network in the hopes that it will grow to be the biggest incentive and communication layer bridging the virtual and physical worlds by integrating AI and IoT.
IoT and AI are inextricably linked
Artificial intelligence’s (AI) quick development is changing how we work, live, and use technology. AI will inevitably become a part of daily life as it develops further. AI is becoming a vital component of our everyday lives, from personal assistants like Siri and Alexa to sophisticated machine learning algorithms that drive our smart devices. But when AI is paired with the Internet of Things (IoT), its full potential is seen.
The Internet of Things (IoT) is a network of physical objects,. It includes cars, appliances, and other things, that are implanted with sensors, software, and connectivity to allow them to gather and share data. The smooth interaction and connection between devices made possible by this networked ecosystem creates a smart environment that improves convenience and efficiency.
In conclusion, IoT is inextricably related to AI’s future. To fully realize their potential and provide data-driven, intelligent solutions that enhance our lives, these technologies must be seamlessly integrated. The partnership between AI and IoT will develop more as time goes on, propelling new developments and influencing how we engage with the outside world.
The majority of IoT devices are still basic and not fully AI-driven.
The bulk of IoT devices today have very basic capabilities and are not fully integrated with artificial intelligence (AI), despite the rapid improvements in technology. Even if these gadgets are intelligent, they frequently lack the complexity and capacity for learning that real AI can provide. However, AI itself still faces the challenge of not having enough data to fully comprehend and forecast human demands and behavior.
A steady stream of high-quality, varied data is necessary for AI to realize its full potential. For AI models to be trained more accurately and responsively to user needs, this data is essential.
However, AI cannot properly use the amount of useful data generated by the current generation of IoT devices. This disparity emphasizes the need for a new breed of Internet of Things devices that are not just intelligent but also have the capacity to produce and handle data appropriate for artificial intelligence applications.
More IoT devices must be updated to support AI features in order to close this gap. Cloud AI and Edge AI technologies can be integrated to accomplish this. In order to analyze data and extract insights, cloud AI makes use of the enormous computational capabilities that are available in the cloud. Strong data processing and advanced AI models that may be updated and enhanced over time are made possible by this method.
In conclusion, the next wave of technological innovation depends on IoT devices evolving from just smart to fully AI-driven. IoT devices can produce the rich, valuable data that AI requires to better comprehend and assist people by combining Cloud AI with Edge AI. This collaboration will result in smarter, more responsive surroundings that improve our everyday lives and propel industries toward digital transformation.
A few intriguing initiatives and attempts
All of them—giants and startups alike—are introducing new hardware products. Apple debuted the VisionPro at the start of the year, and Meta then released smart glasses in partnership with Ray-Ban. Other examples are the Oura Ring smart ring and the Whoop smart wristband. Humane introduced the AI Pin, and Rabbit even released the AI voice phone R1. Samsung’s Galaxy Ring is also on the verge of being released. IoT will become more and more significant in the AI space. It opens up a ton of new business prospects for all entrepreneurs:
- A new song.
- A chance to compete in terms of product innovation.
- An opportunity to avoid the FAANG corporations.
- A chance to develop new paradigms and human-machine interactions.
The Greatest Response: GM Network
GM Network wants to be the biggest network for incentives and communication between AI and IoT.
Because, the biggest communication and incentive network bridging the gap between AI and IoT. GM Network is well-positioned to revolutionize this intersection. Real-time, tailored data is becoming more and more important as AI develops and permeates many facets of daily life. Numerous aspects of our life already involve IoT devices, which produce enormous amounts of this important data. However, these gadgets and the data they provide are frequently isolated within proprietary ecosystems in the existing landscape, which limits their potential influence.
GM Network aims to close this gap. They do it by developing an open, cooperative platform that allows AI and IoT to operate together harmoniously, . With the help of rich, real-time data produced by IoT devices, GM Network helps AI systems learn and adapt more efficiently. It offers strong communication channels and encouraging data exchange. This strategy not only improves AI’s functioning but also spurs innovation in a number of fields. Including industrial automation, wearable health technology, smart homes, and driverless cars.
Furthermore, building a specialized Layer 2 around AI+IoT is very useful. Especially because there are more than 1 million Web3 IoT devices and more than 2 billion Web2 IoT devices worldwide. GM Network and its ecosystem will eventually provide incentives to all IoT devices that give data in a sustainable manner. By breaking down data boundaries, GM will continuously supply real-world data for AI training through its processes and games. The majority of customers will be able to experience the value of AI, enjoy superior AI products. Also they hasten the widespread adoption of AIoT since all incentivized IoT devices will offer genuine user scenarios and AI application opportunities.
An Overview GM Network Layers That Are Modular
The three layers that make up the GM Network are the User Layer, Data Layer, and Asset Layer. These three layers work together to create the GM Network ecosystem’s modular, scalable, and decomposable framework. Which lowers development costs and obstacles and makes it possible for AIoT to be widely adopted.
Asset Layer: This layer mainly takes care of the requirements for the issuance, trading, and circulation of AIoT assets. It better satisfies the requirements of AIoT by employing a specific Layer 2.
Data Layer: This layer is concerned with the creation, storing, trading, and verification of accounts and data. It guarantees that AI can actually use IoT data.
User Layer: This layer helps developers accomplish simpler cold starts by addressing concerns related to user growth and traffic.
The native currency that links AI and IoT will be GM. It will encourage a vast number of current Web3 DePIN and IoT devices. Continuously producing vast volumes of data for AI training. In the end, it will offer customer scenarios for AI in a number of areas. Including voice, visual, lifestyle, and health.