**TL;DR:** The evolution of the model has progressed from writing short code snippets to autonomously building complete codebases and services, enabling it to handle broader, more ambiguous, and complex multi-day tasks involving multiple data sources.
## The Evolution of Capability
The model's capabilities have advanced significantly over time. Approximately two years ago, it could write short code snippets. By eight or nine months ago, it had progressed beyond creating individual snippets or files to independently building entire codebases and services.
## Astra: Enabling Ambiguous, Complex Tasks
The experience with Astra is described as enlightening because it allows for precise, tailored task specification. This empowers the model to autonomously conduct searches and perform analyses independently.
Astra facilitates the assignment of broad, ambiguous, and far-reaching tasks that the model can now complete. Key capabilities include:
* **Setting multi-day tasks:** Users can define projects that are designed to run over several days.
* **Multi-source information gathering:** The task requires the model to retrieve information from multiple data sources.
* **Nuanced judgment:** The model must make subtle judgments about which information is important and which is not.
* **Comprehensive synthesis:** It must correlate all gathered information to form a complete analysis.
These capabilities mean that intelligent agents and artificial intelligence are now fully integrated into various aspects of work.
Source: [Jump Trading points GPT-6 Astra to its most ambiguous, difficult tasks](https://www.youtube.com/watch?v=s495saGYWFg)
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