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With the introduction of concepts such as modality, benchmark, and fine-grainedness, complexity has become a key consideration in software development. The rise of large models is also changing the development model. In this context, task allocation and processing methods are becoming increasingly important.

For programmers, although the expression "programmers looking for tasks" does not appear directly on the surface, in fact, the challenges and opportunities they face are closely centered around the acquisition and processing of tasks.

Nowadays, it has become the norm to operate a mobile phone and a computer to work at the same time. In a multitasking environment, how to effectively allocate resources and time has become an important problem that programmers need to solve. This not only involves technical optimization, but also requires adjustments in psychology and work habits.

The emergence of cross-system agent evaluation benchmarks provides a scientific basis for evaluating and optimizing multi-tasking capabilities. It can help programmers understand the efficiency and effectiveness of task processing under different systems, so as to improve their development strategies in a targeted manner.

In this complex environment, programmers need to constantly learn and adapt to new technologies and methods. They need to have a deep understanding of the diversity of modalities, master the standards of benchmarks, and focus on fine-grained task decomposition to cope with the growing complexity.

At the same time, the application of large models provides programmers with powerful tools, but also brings new challenges. How to work with large models, give full play to their advantages, and avoid potential risks is a question that programmers need to think about.

In short, in the current technological environment, programmers need to constantly improve their abilities to adapt to the changes brought about by multi-tasking and cross-system intelligent agent evaluation, and contribute to the advancement of software development.