Google’s AI strategy is undergoing a significant shift as it battles intensifying competition in the artificial intelligence arena. In 2017, Google’s researchers made an impressive impact on the AI landscape with the publication of the revolutionary paper, “Attention is all you need,” which introduced the power transformer and boosted the potential of machine learning models. This technology has been a driving force behind the creation of formidable language models such as GPT.
Despite Google’s initial strides in AI, the company faced many obstacles in its quest for dominance. I absorbed many of its AI experts into established products like Assistant and Maps, resulting in mere incremental improvements instead of game-changing innovations. Meanwhile, competitors like OpenAI were making rapid progress in the AI field.
OpenAI created waves in 2020 with the unveiling of the text generator GPT-2, considered too dangerous for public release. Google then introduced its own large language model, LaMDA, in 2021, but the demonstrations failed to leave a lasting impression. Undeterred, OpenAI continued to push the limits of AI with the launch of DALL-E and ChatGPT.
By early 2022, Google’s executives realized they were lagging in the AI race and implemented changes. The company gained AI-generated profile pictures and made several modifications to Assistant, but much more needed to be done to close the gap with its rivals.
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In summary, challenges and missed opportunities has plagued Google’s journey in AI. Despite the groundbreaking research, the company has struggled to fully harness its potential, leading to a state of uncertainty as it strives to keep pace with its competitors.
