"It is also true that with its focus on hardware, software, and processor innovation, Apple now offers the best available tools for AI research, including tools for Edge AI. (You can test the ability of your Apple device to deliver AI at the edge today, using an app called Locally AI (for Mac, iPhone, or iPad). Thanks to the power of Apple Silicon, Locally lets you use private, on-device, edge LLMs right now.)"
"Examples like these show how much Apple is already doing concerning the evolution of AI. It's a huge field, of course, with different approaches. I'd argue that Apple's strategic approach was to focus on specific use cases (think agentic AI, machine learning), and application of the technology in specific domains, rather than a catch-all LLM system, like ChatGPT. History indicates that strategic decision allowed the company to fall behind, but has it really?"
Apple concentrates on hardware, software, and processor innovation to deliver strong tools for AI research and Edge AI. Apple devices can run on-device models; the Locally AI app enables private, edge LLMs on Mac, iPhone, and iPad powered by Apple Silicon. The company prioritizes targeted, domain-specific applications and agentic AI or machine learning use cases rather than a single, general-purpose LLM like ChatGPT. That strategy emphasizes integration and privacy at the device level. Historical perceptions of falling behind reflect comparisons to catch-all LLM systems, but practical capabilities at the edge suggest competitive strengths.
Read at Computerworld
Unable to calculate read time
Collection
[
|
...
]