Google vs. ChatGPT: Why Sundar Pichai Claims Google Invented the Tech Behind Its Rival
Tech News: Due to the rapid growth and advancement in generative AI technology, what has ensued is something like a war in the world of digitization, leading us all to ponder the true source of the bot systems we now use. Although the launch of ChatGPT was referred to as the ‘Big Bang’ of the industry at the end of 2022, Sundar Pichai, the CEO of Google, is not afraid to disagree.

The Timeline: Public Launch vs. Scientific Foundation
Thus, coming back to the topic of which bot made it into the spotlight first, it should be noted that, in order to solve this puzzle, one needs to differentiate between invention and introduction of the products to the public. In regard to the former, it should be said that ChatGPT undoubtedly outranks Gemini. Specifically, ChatGPT was released on November 30, 2022.
Gemini is an AI program made by Google named as Bard when it was at its baby stage, and thus, it remains relatively fresh, with its creation dating back only to last year. However, Sundar Pichai is never hesitant in mentioning that the “intelligence” used in ChatGPT’s Transformer system was developed by engineers working at Google.
The 2017 Breakthrough: “Attention Is All You Need”
It is quite safe to say that all such claims inevitably lead to the groundbreaking paper published in 2017 entitled “Attention Is All You Need,” where a novel neural network called the Transformer helps computers understand the meanings of words in sentences.
The invention in question was created by Google, without which there would be no Generative Pre-trained Transformer (the T in ChatGPT). This implies that despite the success of the business model created by OpenAI in this field, Google claims that the invention of the technology which underlies the entire industry lies within the scope of its activities.
Why the Distinction Matters to Google
Nevertheless, this conflict is not solely determined by Google’s desire to prove its position. Much more is at stake for the company in terms of its further development in relation to the technological world in general. The emergence of ChatGPT placed Google among those who are “behind,” “surprised,” etc. In his appeal to the tech community, Pichai stresses the significance of the role played by Google in the formation of Deep Learning technologies, thus declaring Google’s superiority in matters of intellectual property.
Key Milestones in the AI Evolution
To understand the nature of this competition better, one can consider the various factors that contributed to the emergence of NLP within the modern Tech landscape:
- 2017: Introduction of the transformer paper by Google changes the game of machine language processing.
- 2018: BERT comes from Google in an open source initiative in the domain of NLP to enhance comprehension abilities for search engines.
- 2020: OpenAI introduces GPT-3 that demonstrates the potential of large language models using big data.
- 2022: ChatGPT is introduced as it brings in artificial intelligence to consumers.
- 2023 or 2024: Google introduces Gemini, where they bring together all of their artificial intelligence applications under one single brand name.
The Engineer Behind the Curtain
Although such a careful attitude of not pointing out any particular person can be noticed, there is one fact which has to be pointed out without any further ado: all innovative activities in the Artificial Intelligence sphere were carried out due to the collaboration within the research group of Google, and among these innovations, Reinforcement Learning from Human Feedback by OpenAI to produce a conversational “human” ChatGPT became one of the most famous.
However, paradoxically enough, everyone who knows Silicon Valley knows the fact that OpenAI was able to create a better artificial intelligence software thanks to the research done by Google.
Conclusion: A Shared Legacy
Therefore, which of these inventions is more innovative? In relation to the application itself, ChatGPT is more innovative. However, from the perspective of mathematics and programming, it can be said that it would have been much more reasonable to recognize the researchers involved in developing the discussed technology at Google.
Lastly, it appears that the competition among these companies in the race for creating such a machine learning system produces results. Due to the appearance of Gemini 1.5 Pro and OpenAI’s efforts in this sphere, it can be said that there is some kind of compensation for the missed opportunity. Clearly, the alerts issued by Pichai demonstrate the significance of Google in this case; however, it is necessary to bear in mind that innovation is only part of the task, whereas its implementation is the other half.
Also Read: Meta H-1B Salary Analysis: New Data Reveals Engineering Pay Scales Up to $650K
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