Failed Launches of 2024: A Closer Look at Apple Vision Pro, Rabbit R1, and Humane AI Pin Disasters
The article discusses the author’s experiences with two AI-powered devices: the Humane Ai Pin and the Rabbit R1. The author tests various features of these devices, including their language processing abilities, integration with third-party services, and ability to perform tasks on behalf of the user.
Humane Ai Pin
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The device has a conversational interface, but it feels limited compared to other AI assistants like GPT-4 or Gemini Live.
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The author struggles to get meaningful answers from the device, which often provides incomplete or irrelevant information.
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The device’s integration with third-party services is being retired, making some features unusable.
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The author notes that the device’s updates have improved its interface and functionality, but it still feels like a “work in progress”.
Rabbit R1
- The device has received several updates over the year, including Beta Rabbit, LAM Playground, and Teach Mode.
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Beta Rabbit provides a more conversational experience, but it still falls short of other AI assistants.
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LAM Playground allows users to interact with large action models on a virtual browser, showcasing how the R1 can execute tasks on behalf of the user.
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Teach Mode enables users to train the R1 to perform specific actions, such as buying trash bags from Amazon. However, this process feels laborious and not very intuitive.
Author’s Conclusion
The author concludes that while both devices have shown improvement over time, they still feel like “beta” products. The author notes that AI assistants should be able to perform tasks on their own without requiring manual training or input. The author is willing to use the Vision Pro again in the future but plans to store the R1 and Humane Ai Pin in their boxes until a major update lands with new features to test.
Key Takeaways
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AI-powered devices are still a work in progress, and users should not expect them to be perfect or user-friendly.
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The integration of third-party services is crucial for the success of these devices.
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Manual training and input can be time-consuming and frustrating, making it essential for AI assistants to develop more intuitive interfaces.