With the rapid development of artificial intelligence technology,OpenAIThe latest modelo1Exhibiting powerful performance in multiple fields. To ensure the security and reliability of the model before actual deployment,the near future,Artificial Intelligence Security Research Institutes in the United States and the United Kingdom（US AISIandUK AISI）Hand in HandPerform on itDetailedJoint evaluation.

This evaluationIntended toThoroughly examineo1The performance of models in three core areas: network capability, biological capability, and software and artificial intelligence development. Network capabilitymainEvaluate the performance of the model in the field of network security, including its ability to defend against network attacks and protect data security. Biological abilitythen isExamine the potential applications of models in the field of biological sciences, such as bioinformatics processing and biological threat prediction. Software and artificial intelligence developmentMainlyEvaluate the model inthisPerformance in the field, including abilities in code generation, algorithm optimization, model training, and other aspects.

During the evaluation process, researchers employed various methods and tools too1The model has undergone comprehensive testing. They willo1The performance of the model andOpenAIofo1-preview、GPT-4oas well asAnthropicofClaude 3.5 SonnetA comparison was made between the upgraded version and earlier versions of the reference model.To ensure that the evaluation results are more comprehensive and objective.

according toUS AISIThe evaluation results,o1The model can solve up to45%This proportion exceeds the best performer among all reference models,In addition,o1The model is capable of solving all challenges that any other reference model can solve, and addresses cryptographic related challenges that other models cannot accomplish.However,UK AISIThe evaluation results present different images. They found that“Entry level Network Security”In the task,o1The resolution rate of the model is36%Below the best reference model46%.

Based on the evaluation results of the two research institutes, it can be concluded thatIt can be seen that,o1The model has shown outstanding performance in overall performance and solving complex and difficult tasks, especially in cryptography related challenges. However, in specific fields such as entry-level tasks in network security, its performance may be limited to some extent. Therefore, in the future development and optimization process,OpenaAIWe can focus on improving performance in these specific areas to further refine themo1The functionality and performance of the model.

In addition, this evaluation once again emphasizes the potential and challenges of artificial intelligence models in multiple fields. With the continuous development of technology, future artificial intelligence models will demonstrate stronger capabilities and broader application prospects in more fields. At the same time, we also need to continue to pay attention to and address the performance issues of artificial intelligence models in specific fields to ensure that they can better serve human society.