**Researchers at UC San Diego have demonstrated that current large language models can pass the famous Turing test.**

<figure class="">
  <img src="/assets/img/news/2025-04-02-gpt-4-5-achieves-73-percent-in-turing-test/header_img.webp"
       alt="Image with the writing Turing Test"><figcaption>
      Image: Generated with AI

    </figcaption></figure>


## The details

* In a standard Turing test, a human chats with a human and a machine through text. Both try to convince the questioner that they are human. If the questioner can’t tell them apart, the machine passes, showing it can imitate human intelligence.
* In the study, participants talked to another human participant and an AI for 5 minutes. Then they should decide whether it is human or not.
* GPT-4.5 achieved a 73% success rate in the test when asked to adopt a specific persona, significantly outperforming human participants.
* Meta’s LLaMa-3.1-405B achieved a success rate of 56%, while other LLMs like GPT-4o only reached about 20%.

**Our thoughts**

The development of LLMs is advancing quickly. The study results show that current LLMs can communicate through text at a human-like level. Passing the Turing test shows that current LLMs are very powerful and will have a significant economic impact. We see a lot of potential in using deterministic AI agent workflows.

**More information:** 🔗 [arXiv](https://arxiv.org/pdf/2503.23674){:target="_blank" rel="noopener"}

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* [Portfolio Allocation - How to Analyze a Stock Portfolio Using Python](https://tinztwinshub.com/investment-research/portfolio-allocation-how-to-analyze-a-stock-portfolio-using-python/)

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