In a recent development, Google has chosen to postpone the release of its highly anticipated Project Gemini to the first quarter of the upcoming year, as reported by sources cited by The Information. This unexpected delay indicates that Google is encountering challenges in the development of Gemini, placing it in a position of catching up with competitors like OpenAI.

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Initially anticipated for a fall release, Gemini has missed the projected timeline, raising questions about the complexities involved in its development. Google has crafted multiple iterations of Gemini, each tailored to handle tasks of varying complexities. While smaller versions have been examined by external developers, characterized by the number of parameters or calculations they execute, the main and largest version of Gemini is still in progress, according to the report.

During a recent earnings call, Google’s CEO Sundar Pichai briefly touched upon Project Gemini, stating, “We are just really laying the foundation of what I think of as the next-generation series of models we’ll be launching all throughout 2024.” Pichai hinted at Gemini being multimodal, highly efficient with tool and API integrations, and available in various sizes and capabilities.

Pichai further revealed that Gemini would be promptly integrated into all of Google’s internal products and made available for external developers and cloud customers through Vertex AI.

Meanwhile, Google’s counterpart to OpenAI’s ChatGPT, Bard, has faced challenges in gaining traction. This is a noteworthy hurdle for Google, considering the vast user base of ChatGPT, which contributes valuable data crucial for OpenAI to monitor and enhance the quality of its products. As of now, ChatGPT boasts over 100 million weekly users.

Adding to Google’s challenges, Vectara’s Hallucination Leaderboard reveals that both Google’s PaLM 2 and PaLM Chat rank the lowest, with hallucination rates of 12.1% and 27.2%, respectively. This stands in contrast to GPT-4, which maintains a lower hallucination rate of 3%.

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As the tech giant navigates these obstacles, the delayed release of Project Gemini raises questions about the competitive landscape and the future trajectory of Google’s AI