A recent analysis presented by Metaverse Post suggests that GPT-4 significantly outshines the average person on logical reasoning tests.
In Brief
Ilya Pestov, recognized as a prominent figure in Russian AI research, developed a logical reasoning assessment that was completed by around 12,000 participants.
Recently gaining access to the more advanced GPT-4, he set out to test its capabilities with specific prompts to gauge its performance.
The findings revealed that GPT-4 not only met but also exceeded the logical reasoning skills of most individuals.
Ilya Pestov is known for sharing insights on his channel about the proficiency of neural networks in tackling logical reasoning tasks. Previously, he had created a test that attracted approximately 12,000 respondents—results and statistics can be explored after completing it. Telegram channel He noted that while ChatGPT was also evaluated, the outcomes were rather disappointing. However, after obtaining the more advanced GPT model, GPT-4, he decided to investigate if its performance would be any better. @psylogicbot The methodology of the experiment involved creating a textual outline that outlined the task for the neural network. He shared all details in the comments, where he posed a prompt: \"I'll give you a reasoning puzzle along with four choices; identify the single correct option.\" For each question, Ilya established new dialogue instances and sent over the prompt paired with the question, allowing the bot to respond without any alterations or hints.
| Read more: 20+ Best Telegram AI Chatbots of 2023 |
The test comprised 25 questions, with each correct answer earning one point. On average, participants scored about 13.6 points, with the median hovering near 14. What score did GPT-4 achieve? Remarkably, it tallied an impressive 16 points!
Once again, the neural network demonstrated its superiority in logical reasoning over the majority of participants tested. This assessment holds even when considering that: GPT-4 The evaluation was conducted in Russian, despite the model being primarily refined for English usage.
Interestingly, the varible of GPT-4 utilized in chat settings is less capable than its predecessor, likely due to ethical guidelines limiting its performance.
We plan to share a standout response to question 22 separately, where the neural network employed first-order logic to calculate a result mathematically. This approach, while linked to applied mathematics, is not often covered in standard university curricula.
- We will also highlight a particularly impressive answer to question 22, showcasing the neural network's use of first-order logic for deriving mathematical solutions. This knowledge falls under the purview of applied mathematics, which many students encounter as an optional university course.
- Are these neural networks just a passing trend? First, challenge yourself to best GPT-4 and share your results in the comments!
ChatGPT powered by GPT-4 shows a staggering improvement over GPT-3 with a performance increase of 570 times.
Still believe that neural networks Comparisons indicated that GPT-4 consistently surpasses GPT-3.5 across a wide range of evaluative measures.
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