0 views collected around this technical thread.
A UC San Diego study found that GPT-4.5 was judged human 73% of the time and LLaMa-3.1-405B 56%, demonstrating that both large language models can pass a standard three‑party Turing test, with detailed methodology, results, and analysis of judge behavior.
Reflecting on Turing’s pioneering computability theory and the Turing Test, the author acknowledges that while his ideas still shape modern AI and computing, the digital age’s internet, privacy, bias, and security challenges reveal a temporal gap that Turing could not have fully imagined.
From Turing’s 1950 imitation game to GPT‑4’s multimodal vision‑language capabilities, the field has evolved from simple rule‑based programs like ELIZA and PARRY, through statistical learning and the 2017 Transformer breakthrough, to large-scale generative models that achieve fluent conversation yet still grapple with hallucination and true understanding.