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We Did Not Reach the AI Promised Land in 2024

Dec 27, 2024 - gizmodo.com
The article discusses the current state and challenges of AI technology, particularly focusing on the shortcomings of AI-specific devices and the push towards "agentic" AI. Despite the hype around AI, many devices like the Rabbit R1 and Humane AI Pin have failed to deliver on their promises, often relying on cloud computing rather than on-device capabilities. The AI applications available have not impressed consumers, and the technology has not yet reached its full potential. The article also highlights the limitations of AI PCs, which have not seen significant advancements due to a lack of suitable applications, despite the capabilities of new chips from companies like Qualcomm and Intel.

Looking forward, the article suggests that the future of AI lies in agentic AI, which aims to perform tasks seamlessly for users. However, this shift raises privacy concerns as these applications require access to sensitive information and cloud processing. Companies like Apple, Microsoft, and Google are racing to develop these AI-based assistants, but the article remains skeptical about their ability to deliver meaningful improvements over existing technology. The ongoing development of AI is characterized by a cycle of hype and unmet expectations, with the industry still grappling with technical and ethical challenges.

Key takeaways:

  • The AI revolution has not yet lived up to its promises, with AI-specific devices and on-device AI applications failing to impress consumers.
  • AI wearables and handheld devices launched prematurely, with many failing to deliver on their promises due to software limitations and reliance on cloud computing.
  • The concept of "agentic" AI is being pushed by big tech as a solution to enhance AI capabilities, but privacy concerns and the need for cloud processing remain significant challenges.
  • Despite advancements in AI models, the technology faces diminishing returns from additional training data, leading to a shift towards developing AI agents that can perform complex tasks autonomously.
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