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.
This article compares OpenAI's GPT-4.5 and GPT-4o across performance, speed, factual accuracy, hallucination rates, emotional intelligence, computing costs, and real‑world use cases, helping readers decide which model best fits their needs.
This issue reviews the hype around China’s Manus AI Agent and its invitation‑code controversy, critiques OpenAI’s GPT‑4.5 performance versus DeepSeek, showcases industry solutions using AI agents, and introduces the LightThinker method for dynamically compressing LLM inference chains to boost efficiency.
Sam Altman disclosed that OpenAI’s undisclosed internal reasoning model has already reached GPT‑4.5 performance, ranks in the global Top 50 for programming ability, and could surpass human programmers by year‑end, while also outlining AI’s impact on education, talent needs, and future open‑source plans.
