How The Tech Giant Used Generative AI To Revise Its Product Roadmap And Do It Safely

Applications of AI

Has AI advanced too far and too fast? Does it represent an out-of-control threat to humanity? Some credible observers believe AI may have reached a tipping point, and that if research on the technology continues unchecked, AI could spin out of control and become dangerous.

This article explores how Google responded to ChatGPT by using foundation models and generative AI to create innovative products and improve its existing offerings. It also examines Google’s use of Safe AI when creating new products.

The issue of safe AI has been a general concern for many years. It was raised again in a March 2023 open letter from the Future of Life Institute (FLI) that was signed by Elon Musk, Steve Wozniak, Andrew Yang and more than 1,400 others. The letter calls for a six-month moratorium on any AI research into systems beyond GPT-4. The group also believes that AI should be subject to government oversight.

FLI has been a vocal critic of the potential dangers of AI for many years, and its concerns were renewed when OpenAI launched a new and powerful AI product called ChatGPT. It should be noted there has been ongoing AI research since 1956. In seven decades, there has only been three minor incidents and none with out-of-control AI.

Just last week, my colleague Patrick Moorhead, CEO and chief analyst of Moor Insights & Strategy, joined his podcasting partner Daniel Newman to discuss this issue. For more on their views, take a look at this video.

OpenAI’s new chat creation has drawn much attention because it is a large language model (LLM) capable of holding human-like conversations, generating creative writing, correcting code, creating plots and stories and performing many other language-related tasks. ChatGPT’s launch was so successful that it became the fastest-growing software application of any type in history, quickly amassing over 100 million users.

Microsoft and Google both took note of ChatGPT and its new capabilities. Microsoft has invested in and partnered with OpenAI for years. Google was concerned that Microsoft or another competitor could use technology like ChatGPT to threaten its dominance in internet search. That competition could easily extend to other product areas, for instance the business productivity apps we use every day for word processing, spreadsheets, presentations and so on.

Google has wasted no time in modifying its long-term strategies by incorporating generative AI into all its productivity and search offerings. Google believes these changes will enhance user-friendliness, improve efficiency and bolster its competitive position in the market.

Although this article is focused on Google’s strategy and products, Microsoft has also received our attention. Patrick Moorhead recently took a similar look at how Microsoft is using generative AI to enhance and create products. You can read his analysis on

Google is an AI pioneer

Google has been a driving force in AI research for almost two decades. It has made many important breakthroughs in artificial intelligence, including the development of AI transformers and the BERT language model. And, it has also made significant contributions to reinforcement learning, a methodology that enhances AI by utilizing human feedback to improve model performance. Google also created one of the world’s most popular open-source machine learning libraries, TensorFlow.

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