Sora Has Fatal Flaws: A Wall Street Journal Interview with OpenAI's CTO Mira Murati


Recently, Anthropic released Fable5.1, and OpenAI launched Astra, further intensifying the global competition in large models. Although Astra has sparked discussions about its performance and cost-effectiveness, the massive financial and hardware consumption behind it highlights the gap in computing infrastructure between China and the United States. Reports indicate that OpenAI has not disclosed specific parameters, but it has used the StarGate program to train models utilizing over 100,000 NVIDIA GPUs.
Boris Bauer, a director at OpenAI, stated that spatial reasoning was one of the few core advantages humans had over computers. However, with the release of the Astra model, this gap has been eliminated. Independent researchers, after specialized assessment, also expressed amazement, indicating that AI is eroding humanity's fundamental cognitive advantages.
NVIDIA CEO Huang Renxun praised OpenAI for launching the new model Astra on the X platform, stating that it took only four years from ChatGPT to o1 and then to Astra, and that AGI (Artificial General Intelligence) has already arrived. AGI refers to artificial intelligence with capabilities equivalent to or surpassing those of the average human. OpenAI called Astra the most intelligent model to date.
OpenAI released GPT-6Astra on September 3rd, claiming it is the most intelligent and aligns with human values worldwide, capable of completing complex professional tasks quickly and accurately. NVIDIA CEO Huang Renxun congratulated and said AGI has arrived. OpenAI's president Brockman also announced the arrival of the general artificial intelligence era. In just four years, from ChatGPT, o1 to Astra, technological leap has been achieved.
OpenAI released an announcement about the GPT-6 Astra model on September 3rd, but the process was turbulent: the announcement was removed immediately after being posted, and the page was inaccessible for a long time. The official attributed it to a content management system failure and network interruption, denying that the withdrawal was related to benchmark testing. After the blog was restored and updated, the external world discovered that the model evaluation data had changed, drawing attention.