Apple may need Google's Gemini to make Siri smart enough to compete
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Forward-looking: Apple's push to make Siri more capable is starting to look less like a purely in-house effort and more like a concession to the realities of modern AI. To close the gap, the company is expected to split Siri's workload between on-device processing and the cloud, including Google's Gemini models.
Apple has spent years emphasizing the privacy benefits of keeping computation on-device. Its custom silicon, including the Neural Engine, has been steadily tuned for machine learning workloads. But even with those gains, phones remain limited by memory and processing ceilings. The largest AI models now operate at a scale that simply doesn't fit within those constraints.
Smaller models designed for local use can help, but they come with trade-offs. On-device systems typically run with only a few billion parameters and are often...
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