AI Models Start To Reason Before Responding
Though Bubble by AI is licensed under Made with Google AI
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OpenAI began testing a series of AI models that can reason "much like a person" through complex questions before responding. Initial topics are related to science, coding and math.
The company says that through training the models can learn to refine a thinking process, try different strategies, and recognize mistakes -- something experts say is required before AI can support some of the more complex tasks being assigned to the technology.
Reasoning, for example, can support choices in developing creatives for advertising and eliminating bias.
Early tests suggest the OpenAI o1 model performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. It excels in math and coding. In a qualifying exam for the International Mathematical Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%, the company says.
Still, it does not yet have many of the features that make ChatGPT useful, such as browsing the web for information and uploading files and images.
For many common cases GPT-4o will be more capable in the near term, but for reasoning tasks the latest model is a significant advancement and represents a new level of AI capability.
The rapid development of AI models capable of reasoning before responding is both exciting and concerning. While the potential benefits for society are immense, we must remain vigilant about the risks. These models, trained on vast datasets, can inadvertently absorb biases present in the data, leading to unintended consequences. As such, it is imperative to prioritize ethical development and deployment of AI. We must ensure that these technologies are used to augment human capabilities, not replace them. Moreover, robust oversight and transparency are essential to prevent misuse and maintain public trust.
~Political Media
~Political Media
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