Sudden Halt, Gemini 3.5 Pro Stalls, Google Plunges into a Trap of Disappointment
Gemini 3.5 Pro's launch has been delayed for months, according to a Bloomberg report. Hype had built after leaks suggested the AI model, codenamed 'Cappuccino', would feature a 2M-token context window and a 'Deep Think' mode, potentially surpassing rivals like GPT-4.5. However, internal sources reveal the model failed to meet strict standards, particularly in AI coding performance, despite a last-minute data update.
The report details internal challenges at Google: bureaucratic hurdles slow decision-making as multiple departments compete for resources and alignment. Furthermore, a cultural reluctance among some engineers to use AI-generated code, coupled with internal GPU shortages, hampered the development of this critical capability. This inefficiency and perceived lag behind competitors like OpenAI and Anthropic is reportedly causing talent drain.
Analysts suggest this isn't just a Google issue but part of a broader "next-gen giant model disappointment trap." As models scale, they face data bottlenecks, diminishing returns from compute scaling, and potential architectural limits. While OpenAI currently leads, the industry may be entering a platform period where explosive progress slows. Google's delay underscores the immense difficulty of advancing frontier AI models.
marsbit07/17 08:24
