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More and more companies are trying to integrate AI into their products. The outputs often amaze us and we are most likely standing on the threshold of a time when this technology will gradually enter our daily lives. That's why when allegations surfaced that one of the world's biggest tech giants, Google, was improperly training its AI chatbot, Bard, on data from OpenAI's ChatGPT, it sparked a wave of interest around the topic.

According to the server The Information Google AI researcher Jacob Devlin resigned because the company allegedly worked with ChatGPT data from the ShareGPT website. The report said Devlin left after sharing with executives his concerns about the Bard team training its machine learning model using data from OpenAI's ChatGPT. Subsequently, Devlin joined OpenAI to work on ChatGPT.

OpenAI and Google are direct competitors in the field of generative artificial intelligence. Microsoft's heavy investment in OpenAI and the speed with which it has integrated GPT into its products has resulted in Google scrambling to quickly bring its own AI-powered Bard chatbot to market. Allegations that Google used ChatGPT data could damage the company's reputation.

Not directly related to the previous ones informaceI feel like Android Authority recently turned the agency SEO Loopex Digital claiming that in a chat with Bard, the AI ​​said it was based on OpenAI's GPT-3 language model. However, later in the exchange, Bard turned around and claimed that it was based on Google's LaMDA AI model. Of course, this could be a case of Bard providing the wrong one informace, which would not be unusual, as similar errors are quite common. On the other hand, the opposite could mean that there is some truth to the latest allegations.

Google categorically denied that Bard relied on ChatGPT data in any way. "Bard is not trained on any data from ShareGPT or ChatGPT," company spokesperson Chris Pappas told the server The Verge. The future will surely shed more light on the whole matter. In general, however, it can be assumed that the very rapid onset of technologies using AI will bring with it all kinds of challenges, and we may also encounter not entirely correct practices during their implementation.

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