ChatGPT says real-time data from web3, dePIN sources would optimize its potential

 The AI language model by OpenAI says it has no news beyond its training data cutoff of September 2021
ChatGPT said it would benefit from Web3 rewards with access to “vast amounts of data.”
Dr. Xinxin Fan says pulling real-time data, such as weather, stock prices, and breaking news, would revolutionize the AI language model.

Combining AI language models with decentralized and real-time data is becoming increasingly important in artificial intelligence and blockchain technology. One of the most prominent examples of this is ChatGPT, an advanced conversational AI system that has achieved state-of-the-art results in natural language processing tasks.

While ChatGPT has already made significant waves in the tech world, the conversation around its potential continues to evolve. Specifically, there is a growing interest in how Web3 can further enhance ChatGPT’s capabilities by providing access to more accurate and trustworthy data sources through Web3 rewards.

According to IoTeX Co-Founder and Head of Blockchain Research Dr. Xinxin Fan, cryptography, engineering, AI/ML, and cybersecurity expert, The lack of real-time data limits ChatGPT’s accuracy and consistency of the data it currently receives from various sources.

“Pulling real-time data from smart devices and blockchain technologies could incentivize communities to gather trustworthy and accurate information for ChatGPT in exchange for crypto, NFTs, and other Web3 rewards,” said Fan. “Traditionally, IoT data is centralized and collected for business purposes, meaning ChatGPT could not benefit from it directly.”

ChatGPT confirmed it has no access to real-time data. “As an AI language model, I cannot access real-time information and news beyond my training data cutoff of September 2021.”

Fan reiterated that blockchain and other advanced Web3 technologies, such as W3bstream, have the potential to incentivize communities to gather more reliable and accurate real-time and real-world data for ChatGPT.

Web3 rewards More trustworthy data in exchange thanks to rew

W3bstream can be viewed as a machine orchestration layer built on a blockchain that can organize and coordinate a set of machines to complete a specific task, enabling users to gather data from various sources, including trustworthy smart devices connected to the internet.

Using W3bstream and other blockchain technology for smart devices and sensors, W3bstream, and other IoTeX technologies, ChatGPT could improve its data quality and enhance its machine learning models, leading to better responses to user queries.

ChatGPT said, “Firstly, Web3 rewards could provide it access to a vast amount of data in real-time. ChatGPT could use the data to continuously train and improve its performance and customize the model to individual users’ needs and preferences.”

And “secondly,” it added, “by providing users with Web3 rewards in exchange for their data, ChatGPT could potentially incentivize users to provide more high-quality and relevant data, which would improve the quality and accuracy of the model’s responses.”

ChatGPT’s further considerations

When asked what W3bstream could do for ChatGPT, the AI language model agreed with Dr. Fan “real-time data capabilities can significantly improve ChatGPT’s efficiency and accuracy.”

OpenAI’s application said, “currently uses a large knowledge base and inference system to answer user questions based on a huge amount of data collected from various sources. However, the accuracy and consistency of the data are limited by the quality of the data from a single source of truth. Using W3bstream to gather data from multiple sources makes the data more trustworthy and accurate.”

“Moreover, W3bstream can help ChatGPT access data that is not easily available or hard to access. Overall, this can lead to a more powerful conversational AI system trained with more accurate, consistent, and trustworthy data sources,” it added.

“With great power comes even greater responsibility,” said ChatGPT. “Web3’s trustless transparency and auditability through distributed ledgers are the perfect solution for addressing concerns around harmful, fake, unbiased, or unfair content generated by language models like ChatGPT. Decentralized computation networks can also facilitate the computational requirements for pre-training or fine-tuning these models.”

Revolutionizing AI

The integration of ChatGPT and decentralized and open-source technologies has the potential to revolutionize AI by enabling the development of advanced decentralized AI applications.

Dr. Fan shared an example: “ChatGPT could use this advanced technology to get more accurate environment data for a certain geographic region. For example, ChatGPT could use real-time weather data to provide more accurate, up-to-date information. Still, only W3bstream currently makes that possible in a trustworthy, secure, scalable, and privacy-preserving way.”

ChatGPT’s language generation capabilities and W3bstream’s decentralized infrastructure can be used to build secure and private chatbots that can communicate with smart devices and perform tasks such as controlling smart home appliances and monitoring health data which users can also monetize via Web3.

Furthermore, the decentralized nature of W3bstream allows for secure and private data exchange between connected devices, which can be used to train large-scale AI models. This can lead to the development of advanced AI models that are not controlled by a single entity and are less susceptible to data privacy concerns.

The power to revolutionize

W3bstream’s focus on smart devices and ubiquitous computing can help to provide faster and more secure access to data for Chatbots, as processing and analyzing data at the edge can reduce latency and improve scalability.

The integration of ChatGPT, smart devices, and sensor data technology has the potential to revolutionize AI by developing advanced decentralized AI applications and enabling secure and private data exchange between connected devices. The possibilities for this technology are endless, but careful consideration and responsible implementation will be critical to its success.


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