• The AI language mannequin by OpenAI says it has no news past its coaching data cutoff of September 2021
  • ChatGPT mentioned it would profit from Web3 rewards with entry to “vast amounts of data.”
  • Dr. Xinxin Fan says pulling actual-time data, equivalent to climate, inventory costs, and breaking news, would revolutionize the AI language mannequin.

Combining AI language fashions with decentralized and actual-time data is changing into more and more essential in synthetic intelligence and blockchain expertise. One of probably the most distinguished examples of that is ChatGPT, a sophisticated conversational AI system that has achieved state-of-the-artwork leads to pure language processing duties.

While ChatGPT has already made vital waves within the tech world, the dialog round its potential continues to evolve. Specifically, there’s a rising curiosity in how Web3 can additional improve ChatGPT’s capabilities by offering entry to extra correct and reliable data sources by way of Web3 rewards.

According to IoTeX Co-Founder and Head of Blockchain Research Dr. Xinxin Fan, cryptography, engineering, AI/ML, and cybersecurity skilled, The lack of actual-time data limits ChatGPT’s accuracy and consistency of the data it at present receives from varied 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,” mentioned Fan. “Traditionally, IoT data is centralized and collected for business purposes, meaning ChatGPT could not benefit from it directly.”

ChatGPT confirmed it has no entry to actual-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 different superior Web3 applied sciences, equivalent to W3bstream, have the potential to incentivize communities to assemble extra dependable and correct actual-time and actual-world data for ChatGPT.

Web3 rewards More reliable data in trade due to rew

W3bstream may be seen as a machine orchestration layer constructed on a blockchain that may arrange and coordinate a set of machines to finish a selected activity, enabling customers to assemble data from varied sources, together with reliable good units linked to the web.

Using W3bstream and different blockchain expertise for good units and sensors, W3bstream, and different IoTeX applied sciences, ChatGPT might enhance its data high quality and improve its machine studying fashions, main to higher responses to person queries.

ChatGPT mentioned, “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 additional issues

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

OpenAI’s software mentioned, “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,” mentioned 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-supply applied sciences has the potential to revolutionize AI by enabling the event of superior decentralized AI functions.

Dr. Fan shared an instance: “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 technology capabilities and W3bstream’s decentralized infrastructure can be utilized to construct safe and personal chatbots that may talk with good units and carry out duties equivalent to controlling good residence home equipment and monitoring well being data which customers also can monetize through Web3.

Furthermore, the decentralized nature of W3bstream permits for safe and personal data trade between linked units, which can be utilized to coach massive-scale AI fashions. This can result in the event of superior AI fashions that aren’t managed by a single entity and are much less vulnerable to data privateness considerations.

The energy to revolutionize

W3bstream’s deal with good units and ubiquitous computing can assist to offer quicker and safer entry to data for Chatbots, as processing and analyzing data on the edge can cut back latency and enhance scalability.

The integration of ChatGPT, good units, and sensor data expertise has the potential to revolutionize AI by growing superior decentralized AI functions and enabling safe and personal data trade between linked units. The potentialities for this expertise are infinite, however cautious consideration and accountable implementation shall be important to its success.


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