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

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

Combining AI language fashions with decentralized and real-time knowledge is changing into more and more necessary in synthetic intelligence and blockchain expertise. Probably the most distinguished examples of that is ChatGPT, a sophisticated 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 via Web3 rewards.

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

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

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

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

Web3 rewards Extra reliable knowledge in trade because of rew

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

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

ChatGPT stated, “Firstly, Web3 rewards may present it entry to an unlimited quantity of knowledge in real-time. ChatGPT may use the info 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 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 stated, “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 info are restricted by the standard of the info from a single supply of fact. Utilizing W3bstream to collect knowledge from a number of sources makes the info extra reliable and correct.”

“Furthermore, W3bstream will help ChatGPT entry knowledge that’s not simply out there or laborious to entry. Total, this will 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 better duty,” stated ChatGPT. “Web3’s trustless transparency and auditability via distributed ledgers are the proper resolution for addressing considerations round dangerous, faux, unbiased, or unfair content material generated by language fashions like ChatGPT. Decentralized computation networks can even 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 doable 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 gadgets and carry out duties corresponding to controlling good dwelling home equipment and monitoring well being knowledge which customers can even monetize by way of Web3.

Moreover, the decentralized nature of W3bstream permits for safe and personal knowledge trade between linked gadgets, 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 inclined to knowledge privateness considerations.

The facility to revolutionize

W3bstream’s deal with good gadgets and ubiquitous computing will help to offer sooner and safer entry to knowledge for Chatbots, as processing and analyzing knowledge on the edge can cut back latency and enhance scalability.

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




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