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Google took 25 years to be ready for this AI moment. Apple is just starting.
- Google has spent decades building strong AI building blocks, while Apple is just starting and facing challenges in AI.
- AI building blocks are crucial for developing AI products, and Google, along with other tech giants like Microsoft and Amazon, has a significant advantage in this area.
- Apple's delay in updating its AI-powered Siri highlights its lack of foundational AI technologies, leading to a need for potential partnerships or acquisitions to catch up.
- Google's extensive AI building blocks include tools like Flow, Imagen, Transformer architecture, and Tensor Processing Units, giving them a strong foundation in AI.
- Larry Page's early vision for Google emphasized the importance of artificial intelligence, shaping the company's direction towards AI advancements.
- Google's acquisitions of companies like DeepMind and the development of technologies like TPUs and TensorFlow have further solidified its position in AI.
- Apple, on the other hand, has been slower in developing AI capabilities, with challenges in data center infrastructure, talent recruitment, and privacy concerns.
- Tech blogger Ben Thompson pointed out Apple's need to invest in AI through acquisitions or partnerships to bridge the gap with competitors like Google.
- Potential solutions for Apple include collaborating with AI companies like OpenAI or Anthropic, or acquiring startups like SSI or xAI to strengthen its AI capabilities.
- The article highlights the importance of AI building blocks in driving innovation and competitiveness in the tech industry, with Google's extensive investments serving as a prime example.
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