ChatGPT’s Computer History tracks your clicks and keystrokes
ChatGPT's desktop app on macOS has a new feature called Computer History that turns your actions into training data, learning how you work, suggesting automations, and even picking up tasks you left half done. It uses your activity to build a timeline that ChatGPT and Codex can r
The introduction of Computer History in ChatGPT's desktop app on macOS marks a significant development in the AI and agent economy. By tracking users' clicks and keystrokes, ChatGPT can learn how individuals work and provide personalized suggestions for automations, effectively streamlining workflows. This feature has the potential to revolutionize the way people interact with AI tools, making them more intuitive and integrated into daily tasks.
This move is part of a larger trend in the AI industry, where companies are focusing on developing more sophisticated and context-aware models. By leveraging user activity data, ChatGPT can build a more comprehensive understanding of user behavior, enabling more accurate predictions and recommendations. The integration with Codex, a AI model capable of generating code, further expands the possibilities for automation and task assistance. As AI tools become increasingly ubiquitous, the ability to learn from user behavior will be a key differentiator in the market.
As the AI landscape continues to evolve, it's essential to watch how users respond to this level of data collection and AI-driven automation. Will the benefits of personalized workflow suggestions outweigh concerns about data privacy and security? Additionally, it's crucial to monitor how competitors will react to this development, and whether similar features will be introduced in other AI tools. The impact of Computer History on the broader AI and agent economy will depend on its adoption rates, user engagement, and the value it delivers to individuals and organizations.
Originally reported by theverge.com. IndexNews adds analysis for ai & agent economy readers.