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| A Glimpse into the Future of Autonomous Computing |
One of the hot topics in the AI industry this year is AI agents. A particularly noteworthy paper on this subject is currently generating a lot of excitement.
The paper, titled "OSWorld," serves as a benchmark for evaluating the capabilities of contemporary AI agents. It was authored by an international team of researchers led by Tao Yu from the University of Hong Kong.
While there are various definitions of an AI agent, this paper defines it as "AI that perceives its environment using sensors and behaves logically." In other words, it is an AI capable of autonomously operating a computer like a human.
Modern AI is already proficient at performing a wide range of computer tasks. For instance, it can press buttons, input text, and numbers, read and comprehend manuals for apps and software, and operate them accordingly. It can also perform programming to a certain extent, conduct searches, generate documents, convert text to speech, and act as a voice bot to make calls. Moreover, it can engage in sales conversations and input information from customer phone calls into spreadsheets.
In essence, if AI continues to develop along these lines, it could potentially handle most of the tasks humans currently perform using computers. Consequently, it may become increasingly difficult to find jobs that AI cannot do. Should this trend continue, AI agents are poised to have a profound impact on the global economy. It appears that we are on the brink of entering such an era.
To prepare for this future, AI must evolve in three key directions.
The most crucial area for evolution is Reason or logical thinking ability. This involves the capacity to determine what actions to take and how to execute them to complete a given task. For larger tasks, it will also be necessary to break them down into manageable sub-tasks.
OpenAI's upcoming LLM (large-scale language model), GPT-5, rumored to be released soon, is expected to make significant strides in improving logical thinking capabilities. Other major AI companies are also believed to be developing LLMs with similar enhancements.
The second area is vision, or the ability to interpret and understand the contents of a computer screen. This includes identifying which button to press to navigate back to the previous page or to confirm an order, among other tasks.
Apple has also made waves in this area by publishing a paper on a technology called Ferret-UI, which can comprehend and operate smartphone screens.
Finally, the third area is adaptability, which involves the ability to learn and adapt to new tasks and environments quickly. This requires advanced machine learning techniques that allow AI to continuously improve its performance based on new data and experiences.
In conclusion, the ongoing advancements in AI agents indicate that we are rapidly approaching an era where AI can perform most computer-based tasks traditionally done by humans. As AI continues to evolve, particularly in terms of logical reasoning, visual comprehension, and adaptability, its impact on the global economy and job market will be profound.
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