Pros:
1. High-performance: Snapdragon 8 Gen 3 offers enhanced computing power, promising faster AI processing on mobile devices.
2. On-device AI: Moving AI to your phone enables quicker and more responsive applications, eliminating the need for constant internet connectivity.
3. Privacy: Local AI processing reduces reliance on cloud-based AI, potentially enhancing privacy and data security.
4. Improved user experience: With AI capabilities directly on the phone, interactions can be more seamless, intuitive, and personalized.
5. Efficiency: On-device AI processing reduces the need for heavy data transfers, leading to improved battery life and reduced latency.
Cons:
1. Limited resources: Some complex AI tasks may still require the computational power of the cloud due to the limited resources available on smartphones.
2. Costly hardware: High-performance AI processing on phones may require expensive hardware, potentially leading to more expensive devices.
3. Compatibility: AI algorithms and frameworks developed for cloud-based systems might need modification to run efficiently on mobile devices.
4. Heat and power concerns: Running intense AI workloads on smartphones can generate significant heat and drain battery life faster.
5. Dependency on updates: The full potential of on-device AI may take time to materialize, as it relies on regular software updates and optimizations.
Please note that the impact of Snapdragon 8 Gen 3 on AI revolutionization in phones may vary and depend on various factors such as software optimization, user requirements, and overall technological advancements in the field.
context: https://www.theverge.com/2023/10/24/23928867/qualcomm-snapdragon-8-gen-3-on-device-ai-meta-llama-2
Get ready for the fast-approaching era of phones powered by AI technology.
