When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.
Its own internal reports suggest it isat least two years behind.
This would help it earn its title as the centerpiece of the Apple ecosystem and controller for Apple Intelligence.
ChatGPT remembers previous details and can use them again in future responses.
This can make interactions feel fragmented.
It also needs to enable better follow-ups as not everything can be handled in the first question.
Multimodal capabilities
Siri does not yet have visual comprehension.
ChatGPT can not only listen and speak, but it can also see.
This will be a good way for Apple to give Siri eyes.
Context awareness
This is one area where new Siri has improved.
What Siri can do is access your location, the current weather and give real information.
What it can’t do is respond with detail.
But then, ChatGPT needs live data in its voice mode to be a useful assistant.
AlthoughApple Intelligencehas improved Siris voice, it still lacks the nuanced adaptability.
What Siri does have in its favor is that it largely runs locally, so works offline.
Beyond basics
When you want to set a reminder or send a message, Siri is great.
Siri can send text messages and emails.
But you have to tell it what to say.
For instance, when Siri starts an email, it asks for the subject line.
If you ask ChatGPT to help you write an email, it creates the subject line for you.
ChatGPT Voice takes a basic task even further by helping with complex problem-solving.
For that reason, ChatGPT Voice can help you write the message you want Siri to send.
The AI model performs tasks that require deeper analysis and understanding that Siri simply cannot do.
capability to learn ChatGPT knowsmeso well it canprofileits users.
Siri, despite regular software updates, doesnt learn from individual conversations in real time.
Apple would need to implement real-time learning algorithms for Siri to provide more personalized, adaptive responses.
Capability to learn
ChatGPT knowsmeso well it canprofileits users.
Reason being, ChatGPT learns from its interactions in real-time and improves responses as it gathers data.
Every interaction helps it to become better attuned to the specific preferences and conversational habits of each user.
ChatGPTs ability to create subject lines and analyze tasks beyond basic commands puts it a step ahead.
Siri would need deeper machine learning capabilities to handle more analytical and creative tasks without user prompting.
That is, a vast library of personal data from emails and text messages to downloads and notes.
Multilingual fluency
ChatGPT Voice handles a vast number oflanguagesfluently and can switch between them in a single conversation.
Siri supports multiple languages but doesnt offer the same flexibility for switching mid-conversation or handling advanced translations.
For Siri to compete, Apple would need to focus on improving its multilingual processing abilities.
More from Tom’s Guide
