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

by Jeremy

  • The AI language mannequin by OpenAI says it has no information past its coaching knowledge cutoff of September 2021
  • ChatGPT mentioned it might profit from Web3 rewards with entry to “huge quantities of knowledge.”
  • Dr. Xinxin Fan says pulling real-time knowledge, reminiscent of climate, inventory costs, and breaking information, would revolutionize the AI language mannequin.

Combining AI language fashions with decentralized and real-time knowledge is turning into more and more essential in synthetic intelligence and blockchain expertise. One of the outstanding examples of that is ChatGPT, a complicated conversational AI system that has achieved state-of-the-art ends in pure language processing duties.

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

In line with IoTeX Co-Founder and Head of Blockchain Analysis Dr. Xinxin Fan, cryptography, engineering, AI/ML, and cybersecurity knowledgeable, The shortage of real-time knowledge limits ChatGPT’s accuracy and consistency of the information it at present receives from numerous sources.

“Pulling real-time knowledge from good units and blockchain applied sciences may incentivize communities to assemble reliable and correct data for ChatGPT in alternate for crypto, NFTs, and different Web3 rewards,” mentioned Fan. “Historically, IoT knowledge is centralized and picked up for enterprise functions, that means ChatGPT couldn’t profit from it instantly.”

ChatGPT confirmed it has no entry to real-time knowledge. “As an AI language mannequin, I can’t entry real-time data and information past my coaching knowledge cutoff of September 2021.”

Fan reiterated that blockchain and different superior Web3 applied sciences, reminiscent of W3bstream, have the potential to incentivize communities to assemble extra dependable and correct real-time and real-world knowledge for ChatGPT.

Web3 rewards Extra reliable knowledge in alternate because of rew

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

Utilizing W3bstream and different blockchain expertise for good units and sensors, W3bstream, and different IoTeX applied sciences, ChatGPT may enhance its knowledge high quality and improve its machine studying fashions, main to raised responses to consumer queries.

ChatGPT mentioned, “Firstly, Web3 rewards may present it entry to an unlimited quantity of knowledge in real-time. ChatGPT may use the information to repeatedly prepare and enhance its efficiency and customise the mannequin to particular person customers’ wants and preferences.”

And “secondly,” it added, “by offering customers with Web3 rewards in alternate for his or her knowledge, ChatGPT may doubtlessly incentivize customers to offer extra high-quality and related knowledge, which might enhance the standard and accuracy of the mannequin’s responses.”

ChatGPT’s additional concerns

When requested what W3bstream may do for ChatGPT, the AI language mannequin agreed with Dr. Fan “real-time knowledge capabilities can considerably enhance ChatGPT’s effectivity and accuracy.”

OpenAI’s software mentioned, “at present makes use of a big data base and inference system to reply consumer questions primarily based on an enormous quantity of knowledge collected from numerous sources. Nevertheless, the accuracy and consistency of the information are restricted by the standard of the information from a single supply of reality. Utilizing W3bstream to assemble knowledge from a number of sources makes the information extra reliable and correct.”

“Furthermore, W3bstream might help ChatGPT entry knowledge that isn’t simply obtainable or laborious to entry. General, this may result in a extra highly effective conversational AI system educated with extra correct, constant, and reliable knowledge sources,” it added.

“With nice energy comes even larger accountability,” mentioned ChatGPT. “Web3’s trustless transparency and auditability by means of distributed ledgers are the proper resolution for addressing considerations round dangerous, pretend, unbiased, or unfair content material generated by language fashions like ChatGPT. Decentralized computation networks also can facilitate the computational necessities for pre-training or fine-tuning these fashions.”

Revolutionizing AI

The combination of ChatGPT and decentralized and open-source applied sciences has the potential to revolutionize AI by enabling the event of superior decentralized AI purposes.

Dr. Fan shared an instance: “ChatGPT may use this superior expertise to get extra correct atmosphere knowledge for a sure geographic area. For instance, ChatGPT may use real-time climate knowledge to offer extra correct, up-to-date data. Nonetheless, solely W3bstream at present makes that potential in a reliable, safe, scalable, and privacy-preserving method.”

ChatGPT’s language era 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 reminiscent of controlling good house home equipment and monitoring well being knowledge which customers also can monetize by way of Web3.

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

The ability to revolutionize

W3bstream’s give attention to good units and ubiquitous computing might help to offer sooner and safer entry to knowledge for Chatbots, as processing and analyzing knowledge on the edge can scale back latency and enhance scalability.

The combination of ChatGPT, good units, and sensor knowledge expertise has the potential to revolutionize AI by growing superior decentralized AI purposes and enabling safe and personal knowledge alternate between linked units. The probabilities for this expertise are infinite, however cautious consideration and accountable implementation will probably be vital to its success.


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