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ChatGPT, OpenAI’s popular chatbot, recently became the fastest growing consumer application in history, reaching an estimated 100 million users in less than two months. According to the latest MLIV Pulse survey, advanced AI models like ChatGPT and GPT-3 have the potential to replace many jobs in finance, media, law and technology. With the rapid rise of AI, many are wondering if AI will replace human editors for online encyclopedias and other crowdsourcing projects.
IQ.wiki, the world’s largest blockchain and cryptocurrency encyclopedia, recently became the first encyclopedia to integrate OpenAI’s GPT-3 language model. You may have heard of IQ.wiki by its former name Everipedia. In 2018, Everipedia rose to prominence as the first blockchain encyclopedia with the launch of the IQ token. In 2022, the site was rebranded to IQ.wiki to show how central IQ token and blockchain technology is to the platform. The IQ token is a cryptocurrency dedicated to building a smarter future through artificial intelligence and blockchain technology.
IQ.wiki has thousands of wikis on complex topics from cryptocurrencies to blockchains. The community of editors that contribute to IQ.wiki enjoy creating and editing in-depth wiki articles on topics related to blockchain technology, but summarizing long articles can often be a time-consuming and tedious task.
With GPT-3 integration, 5000-word IQ.wiki articles like the Bored Ape Yacht Club page can be summarized in seconds. This frees up time that editors can use to research, create and edit new IQ.wiki articles.
While many are concerned that AI integrations will replace humans, IQ.wiki sees a tremendous opportunity for human editors to work with artificial intelligence models. One of the challenges in building better artificial intelligence models is getting honest, high-quality feedback on AI responses. Honest human feedback is one of the most important tools for improving AI systems.
If irresponsibly trained by AI models, they can end up doing far more harm than good. A notorious example of this was Microsoft’s experimental AI chatbot Tay, which launched in 2016 and was quickly taken down after Twitter trolls trained the AI to make racist remarks.
IQ.wiki Chief Brain Navin Vethanayagam explained why he sees IQ.wiki as a safer and better platform to train AI models.
“Specialized online encyclopedias like IQ.wiki, with quality content that’s been reviewed by editors, are a much safer place for AI models to get honest and useful feedback. As AI models improve based on editors’ feedback, they will quickly be able to handle repetitive tasks such as summary and spelling, grammar and formatting changes.
With a community of editors dedicated to creating and editing high quality specialized online encyclopedias like IQ.wiki, they are the ideal testing ground for AI models. We are building a system around AI model training, where our editors rate and provide feedback on AI language models that contribute content. BrainDAO, the DAO managing the IQ token, will then provide IQ token rewards for highly rated AI models, incentivizing AI training and development.”
Another area where IQ.wiki sees artificial intelligence can help both editors and readers of online encyclopedias is in translation.
The challenge of using traditional translation software like Google Translate to translate wiki articles is that words can have many meanings in different contexts, especially when it comes to specific industries or topics. The advantage of AI language models is that they can be trained for more specific translation tasks and learn from feedback.
Once trained, AI language models could quickly translate complex wiki articles into dozens of languages. This will greatly expand access to knowledge. It will also allow editors who speak different languages to collaborate more easily and build on each other’s work.
When you see how IQ.wiki integrates AI to make it easier for human editors to contribute, improve AI models, and share knowledge across languages, it looks like AI isn’t going to replace the humans that are too Contribute to online encyclopedias.
