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

by The Dao Makers
March 19, 2023
in Launchpads
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The AI language mannequin by OpenAI says it has no information past its coaching knowledge cutoff of September 2021ChatGPT stated it might profit from Web3 rewards with entry to “huge quantities of information.”Dr. Xinxin Fan says pulling real-time knowledge, resembling 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 know-how. Probably the most outstanding examples of that is ChatGPT, a sophisticated conversational AI system that has achieved state-of-the-art leads to 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 Web3 rewards.

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

“Pulling real-time knowledge from sensible gadgets and blockchain applied sciences might incentivize communities to assemble reliable and correct info for ChatGPT in change for crypto, NFTs, and different Web3 rewards,” stated Fan. “Historically, IoT knowledge is centralized and picked up for enterprise functions, which 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’t entry real-time info and information past my coaching knowledge cutoff of September 2021.”

Fan reiterated that blockchain and different superior Web3 applied sciences, resembling 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 change because of rew

W3bstream may be seen as a machine orchestration layer constructed on a blockchain that may set up and coordinate a set of machines to finish a selected process, enabling customers to assemble knowledge from numerous sources, together with reliable sensible gadgets related to the web.

Utilizing W3bstream and different blockchain know-how for sensible gadgets and sensors, W3bstream, and different IoTeX applied sciences, ChatGPT might enhance its knowledge high quality and improve its machine studying fashions, main to higher responses to person queries.

ChatGPT stated, “Firstly, Web3 rewards might present it entry to an enormous quantity of information in real-time. ChatGPT might 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 change for his or her knowledge, ChatGPT might probably 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 might 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 utility stated, “presently makes use of a big data base and inference system to reply person questions primarily based on an enormous quantity of information 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 fact. Utilizing W3bstream to assemble knowledge from a number of sources makes the information extra reliable and correct.”

“Furthermore, W3bstream may help ChatGPT entry knowledge that isn’t simply obtainable or laborious to entry. Total, this may result in a extra highly effective conversational AI system skilled 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 by distributed ledgers are the right answer 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 purposes.

Dr. Fan shared an instance: “ChatGPT might use this superior know-how to get extra correct atmosphere knowledge for a sure geographic area. For instance, ChatGPT might use real-time climate knowledge to offer extra correct, up-to-date info. Nonetheless, solely W3bstream presently makes that potential in a reliable, safe, scalable, and privacy-preserving means.”

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

Moreover, the decentralized nature of W3bstream permits for safe and personal knowledge change between related 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 concentrate on sensible gadgets and ubiquitous computing may help to offer quicker and safer entry to knowledge for Chatbots, as processing and analyzing knowledge on the edge can cut back latency and enhance scalability.

The mixing of ChatGPT, sensible gadgets, and sensor knowledge know-how has the potential to revolutionize AI by creating superior decentralized AI purposes and enabling safe and personal knowledge change between related gadgets. The probabilities for this know-how are countless, however cautious consideration and accountable implementation will probably be crucial to its success.

 



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Tags: ChatGPTDatadePINOptimizePotentialRealTimeSourcesWeb3
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