Google Denied of Copying Microsoft Owned OpenAI’s ChatGPT

With rising market on the newly launched ChatGPT, there has been some rumours that Google has copied Microsoft-owned OpenAI’s ChatGPT to train its AI chatbot called Bard. However, Google denied the reports of doing anything like this kind.

According to the report, claims are that OpenAI’s success has already forced the two AI research teams within Google’s parent company that is Alphabet, to overcome the intense rivalry to work together.

As per the reports, the citing sources, the software engineers at Google’s Brain AI group are working with the employees at DeepMind. It is a sibling company within Alphabet to develop software to compete with OpenAI.

It is internally known as Gemini, the joint efforts also began in the recent weeks, after google stumbled with the Bard. Also, the spokesperson of Google added, Bard is not trained on any data from ShareGPT or ChatGPT.

According to the reports, Google also announced it is opening up an access to its ChatGPT competitor “Bard” as an early experiment for its users to work with the generative AI. Bard is based on a large language model (LLM), which is specifically a lightweight and optimised version of LaMDA. It also added that it will be updated with new features and more capable models in the future.

Daily Worldwide Visits to OpenAI's Website and its ChatGPT Platform

Aarti Dhapte
Aarti Dhapte
AVP - Research
A consulting professional focused on helping businesses navigate complex markets through structured research and strategic insights. I partner with clients to solve high-impact business problems across market entry strategy, competitive intelligence, and opportunity assessment. Over the course of my experience, I have led and contributed to 100+ market research and consulting engagements, delivering insights across multiple industries and geographies, and supporting strategic decisions linked to $500M+ market opportunities. My core expertise lies in building robust market sizing, forecasting, and commercial models (top-down and bottom-up), alongside deep-dive competitive and industry analysis. I have played a key role in shaping go-to-market strategies, investment cases, and growth roadmaps, enabling clients to make confident, data-backed decisions in dynamic markets.
Get in Touch