Why are Amazon's Alexa+ and Google's Gemini for Home voice assistants underwhelming?

Both Alexa+ and Gemini for Home, despite integrating large language models, are reportedly suffering from slow response times, subpar accuracy, and general confusion, mirroring issues found in older voice assistants.

Are current LLM-powered voice assistants a significant upgrade?

Currently, LLM-powered voice assistants like Alexa+ and Gemini for Home are not significantly improving the smart home experience and often feel similar to non-LLM versions.

Home / Technology / Voice Assistants Fail AI Test: Still Hard of Hearing

Voice Assistants Fail AI Test: Still Hard of Hearing

Q: What is the status of Apple's AI Siri?

Apple's AI Siri, announced for 2024, has been delayed due to concerns over its performance and readiness for mass deployment, with a potential launch expected this spring.

7 Feb

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Summary

New voice assistants from Amazon and Google launch with underwhelming performance.
Users report slow response times and subpar accuracy with new AI assistants.
Apple's AI Siri launch is delayed due to performance and readiness concerns.

Voice Assistants Fail AI Test: Still Hard of Hearing

New AI-powered voice assistants from Amazon and Google, Alexa+ and Gemini for Home respectively, have been released but are failing to impress. Both assistants, now infused with large language models (LLMs) similar to those powering ChatGPT, are experiencing slow response times and accuracy issues, drawing widespread disappointment.

Despite early access periods, user feedback indicates that these next-generation assistants exhibit the same core problems as their predecessors. Gemini for Home, while offering a more natural voice, is noted for its slower processing and occasional misunderstandings. Similarly, Alexa+ faces critiques for subpar performance.

Apple's own AI Siri, anticipated for a 2024 release, is also experiencing delays. Concerns over its performance and readiness for mass deployment have pushed back its full launch, expected potentially this spring. This ongoing struggle highlights the complexities of integrating advanced AI into voice assistant technology.