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Image Google Play Store Despite Google's vast resources and technological prowess, its Gemini project, shrouded in secrecy, appears to have faced a disappointing launch. While the exact details surrounding the project remain unclear, several factors likely contributed to its failure. Here are 10 possible reasons why Gemini might have fallen short of expectations: 1. Market Saturation: The market for large language models is already crowded with established players like ChatGPT and LaMDA. Entering such a competitive space with a new product requires a significant edge, which Gemini may not have offered. 2. Lack of Differentiation : Google already boasts several successful language models, including Bard. Gemini might not have presented a compelling enough reason for users to switch from existing options or adopt a new product with similar functionality. 3. Unclear Value Proposition: Google's communication surrounding Gemini was vague, leaving users unsure about its purpose an

Image AI Generated The video showcasing the capabilities of Google Gemini, Ultra version, initially impressed the tech community with its apparent advancements in multimodal AI. However, controversy arose when it was revealed that the video was not a real-time demonstration but a meticulously edited presentation using still frames and text commands. This misleading portrayal has sparked criticism, echoing previous concerns about the authenticity of Google's demonstrations, such as the Duplex case. In response to the backlash, Google defended the video, asserting that the results were genuine but edited for brevity. Oriol Vinyals from Google DeepMind emphasized the intention to inspire developers by showcasing the potential of multimodal experiences with Gemini. The incident underscores the importance of transparency in the field of AI. While demos are often optimized to highlight a technology's potential, maintaining honesty about current capabilities is crucial to prevent misu