Google Gemini Ultra to be Integrated into Smartphones

Gemini is an AI model developed by Google, categorized into Ultra, Pro, and Nano based on its scale... Ultra is the largest model, capable of handling complex tasks. Google is reportedly planning to integrate this Gemini Ultra into smartphones starting next year. What's the story?

Key Information

● Google announces plans to integrate "Gemini Ultra"-level LLMs, previously only available in the cloud, into smartphones next year.

● Advancement in LLM compression technology enables on-device execution.

● On-device AI is expected to expand smartphone functionalities and revitalize the market.

● Expert Opinions

○ Morgan Stanley: Anticipates a rebound in smartphone shipments by 3.9% in 2024 and 4.4% in 2025.

○ IDC: Forecasts a slight year-on-year increase of 23% between 2025 and 2028.

○ Deutsche Telekom: Predicts a decline in app usage in 5 to 10 years, with the emergence of AI agents.

Analysis

● Google's announcement holds the potential for innovation in the smartphone market, but faces technological challenges and uncertainties regarding market response.

● LLM integration is expected to introduce new features such as AI agents.

● The revitalization of the smartphone market depends on consumer response, technological maturity, and competitive landscape.

Future Outlook

● Keeping an eye on Google's launch of LLMs-integrated smartphones and the market's reaction.

● Observing whether other smartphone manufacturers follow suit.

● Continuously monitoring the advancement of on-device AI technology and changes in the smartphone market.

FAQ

Q. What can be done if LLMs are integrated into smartphones?

A. Various functions can be performed through AI agents.

- Operating smartphones with voice commands

- Providing personalized information and recommendations

- Supporting photo capturing and editing

- Foreign language translation

- Document creation and summarization

- Creative activities (writing, composing, drawing, etc.)

Q. Will all smartphones be equipped with 'Gemini Ultra' level LLMs next year?

A. No. Technological feasibility and actual integration may differ, and various factors such as smartphone models and prices will be considered.

Q. What are the advantages of on-device AI?

A. AI functions can be used without an internet connection, and it offers benefits in terms of data security and privacy protection.

Q. What are the disadvantages of on-device AI?

A. There are still technological challenges to address, such as improving smartphone performance and resolving battery drain issues.

Q. What impact will on-device AI have on the smartphone market?

A. It is expected to have an impact on smartphone performance, provide new features, reduce app usage, and revitalize the smartphone market.

Q. How much will an LLM-equipped smartphone cost?

A. The exact price is not yet known. However, it is expected to be more expensive than existing smartphones.

Q. Can LLM-equipped smartphones become mainstream?

A. It is expected to depend on technological maturity, price competitiveness, and consumer response.

Q. Are other on-device AI technologies being developed besides LLM-equipped smartphones?

A. Yes. On-device AI technology development is actively underway in various fields, including image recognition, voice recognition, and natural language processing.