Tuesday, May 28, 2024

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


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

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

Whereas ChatGPT has already made important 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 information sources by way of Web3 rewards.

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

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

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

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

Web3 rewards Extra reliable information in trade because of rew

W3bstream may be considered 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 collect information from varied sources, together with reliable sensible units related to the web.

Utilizing W3bstream and different blockchain expertise for sensible units and sensors, W3bstream, and different IoTeX applied sciences, ChatGPT may enhance its information 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 constantly 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 trade for his or her information, ChatGPT may probably incentivize customers to supply extra high-quality and related information, which might enhance the standard and accuracy of the mannequin’s responses.”

ChatGPT’s additional issues

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

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

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

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

Revolutionizing AI

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

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

ChatGPT’s language era capabilities and W3bstream’s decentralized infrastructure can be utilized to construct safe and personal chatbots that may talk with sensible units and carry out duties resembling controlling sensible residence home equipment and monitoring well being information which customers may also monetize through Web3.

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

The ability to revolutionize

W3bstream’s concentrate on sensible units and ubiquitous computing might help to supply quicker and safer entry to information for Chatbots, as processing and analyzing information on the edge can cut back latency and enhance scalability.

The mixing of ChatGPT, sensible units, and sensor information expertise has the potential to revolutionize AI by creating superior decentralized AI functions and enabling safe and personal information trade between related units. The probabilities for this expertise are infinite, however cautious consideration and accountable implementation shall be important to its success.

 

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