Apple's Siri AI update faces criticism for slow performance despite improved utility
Apple's new Siri AI, released in beta over a month ago, is finally delivering useful personal assistant capabilities, such as retrieving specific travel data. However, the update is criticized for being painfully slow, even for simple queries. While the feature marks a significant step forward in AI integration for Apple devices, users report that response times lag behind expectations, highlighting the ongoing challenge of balancing advanced AI functionality with real-time performance in consumer electronics.
Key points
- Apple has released a beta version of its updated Siri AI, which is now capable of acting as a more useful personal assistant by answering complex, context-aware queries.
- The update, available for over a month, has been noted for its ability to retrieve specific data, such as hotel costs and distances, during activities like running.
- Despite improved functionality, the new Siri AI is widely criticized for being painfully slow to respond to even simple user queries.
- Users and observers indicate that while the assistant is finally useful, its performance lags behind the rapidly shifting expectations for agentic AI assistants in the market.
- The release represents Apple's effort to catch up with competitors in the AI assistant space, though the current beta status suggests further refinements are needed.
Apple’s recently released beta version of Siri AI has begun to demonstrate the utility of a true personal assistant, marking a significant shift from previous iterations. The update, which has been available for over a month, allows users to query specific, context-aware information, such as travel costs and logistical details, with greater accuracy than prior versions. For instance, users have reported that the assistant can correctly retrieve hotel pricing and distance data during physical activities, a task that would typically require manual lookup.
However, the improvement in capability has not been matched by performance speed. Critics and early adopters note that the new Siri AI can be painfully slow, often taking longer than expected to answer even simple questions. This latency creates a friction point that undermines the convenience of the feature, particularly in real-time scenarios where immediate responses are expected. The slow response times have drawn comparisons to the broader industry challenge of integrating large language models into consumer hardware without sacrificing responsiveness.
As expectations for agentic AI assistants continue to rise, Apple faces pressure to refine its technology. While the current beta version proves that the company can deliver useful AI features, the gap between capability and speed remains a critical hurdle. Analysts suggest that Apple must address these performance issues to maintain competitiveness against rivals who are rapidly advancing their own AI assistant capabilities. The next phase of development will likely focus on optimizing backend processing to ensure that the assistant’s newfound intelligence is delivered with the speed users demand.
Sources
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