Artificial intelligence (AI) in modern TVs and smartphones has become an integral part of marketing, but its real capabilities are often greatly exaggerated. In reality, these devices do not contain full-fledged AI. The “intelligence” of most features lies in the use of server power and algorithms developed by manufacturers to improve the user experience. Let’s break down what this term really means.

Smartphones

AI in modern smartphones is used for the following tasks:

  1. Photography: This includes enhancing image quality, real-time photo processing, and adjusting camera settings based on shooting conditions. This is not magical AI, but built-in image processing programs. In rare cases, when more computational power is needed, photos may be sent to company servers for processing and then returned to the user.
  2. Voice Assistants: Siri, Google Assistant, and other assistants help with tasks, searching for information, and controlling the device. The phone in this case is simply an interface that interacts with AI systems running on a server.
  3. Performance Optimization: AI analyzes which apps you use most often and allocates resources to improve performance and save energy. However, this function has existed in smartphones for years and is essentially a simple program that adapts to user habits.
  4. Security: Face and fingerprint recognition are often called elements of AI, but in reality, they rely on standard recognition algorithms rather than true artificial intelligence.
  5. Personalization: Recommendations for content and apps are based on user behavior analysis. This improves the user experience but is not a sign of independent intelligence.

TVs

AI in TVs is perhaps the most prominent example of marketing strategies. Manufacturers claim to have AI processors, but in reality, these technologies are mostly just algorithms performing specific tasks:

  1. Image Enhancement: Adjusting brightness, contrast, and color balance, as well as adapting to room lighting — this is not the result of AI, but preset templates.
  2. Sound Processing: Optimizing sound for better listening experience, such as enhancing dialogue or adapting to room acoustics — this also does not require AI, just audio processing algorithms.
  3. Content Recommendations: Analyzing viewer preferences and suggesting new films or channels — once again, this is the result of algorithms, not an intelligent system capable of independent learning.
  4. Voice Control: Built-in voice assistants, such as Google Assistant, Amazon Alexa, and others, allow controlling the TV and connected devices. However, the TV itself does not use AI to make decisions; it simply executes commands.

What’s True and What’s Marketing?

Truth: AI does exist, but in most cases, its role is limited to improving functionality and user interaction. Machine learning algorithms in TVs and smartphones cannot truly be called AI, as they do not “learn” the device but simply use pre-set templates to adapt settings.

Marketing: Some companies call even simple algorithms “AI” to create the impression of innovation and stand out in the market. True AI refers to systems that can learn and make decisions based on data, but currently, most devices simply use pre-configured algorithms, and their capabilities are not as great as marketers would like you to believe.

Thus, AI in modern devices is not a miracle, but rather advanced technology that facilitates interaction with gadgets and improves the user experience. However, perceiving AI as something revolutionary or “magical” is more of a marketing move than reality.

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