Musk said that Grok3.5 still needs refinement

Half a month ago, Musk announced on the social media platform X that the early beta version of Grok3.5 would be released next week. Today, a netizen initiated a discussion on the social media platform X: "Which one will be released earlier, Grok3.5, GPT-O3 Pro or GTA6?" In response to this, Elon Musk, the founder of AI, personally stated: "Grok3.5 still needs about a week to be polished. It's still a bit too rough at the moment." As an AI assistant, Grok is trained based on the vast amount of data on the X platform. It not only has real-time response capabilities but also possesses a humorous expression style and mechanisms for handling controversial topics. Currently, xAI is promoting the deep integration of AI technology with the advertising system, content recommendation algorithms and user interaction scenarios of the X platform, and is committed to building an ecological closed loop of "social +AI". This version claims to be the first artificial intelligence capable of precisely answering questions in professional fields such as rocket engines and electrochemical technology. Its core advantage lies in reasoning from the first principle, which can deduce answers that are not directly presented on the Internet.

The Grok series launched by Musk has attracted much attention and also caused a huge stir in the tech field, bringing about complex and multi-faceted impacts. One is the impact on AI technology. The refinement cycle of Grok3.5 has prolonged the transformation time from the laboratory to practical application of the technology. Enterprises that originally planned to use this model to optimize rocket design, develop new battery materials and other projects may face a lag in research and development progress due to the delay in release, which in turn will affect commercialization and market competitiveness. The high computing power requirements of Grok3.5 (approximately 275,000 H100 graphics cards) have formed a technical barrier. The extension of the polishing cycle may force competitors to invest more resources to accelerate research and development, leading to an excessive concentration of industry resources in a few enterprises, intensifying the risk of technological monopoly, and possibly triggering unfair competition.

The second is the impact on users. Musk's previous promotion of Grok3.5 has already aroused high public expectations, but the statement that "it still needs to be refined" may lead users to question the reliability of AI technology. If the final released model fails to meet the expected performance, it may undermine the public's trust in AI technology and affect the overall image of the industry. Playing Grok3.5

The grinding cycle prolongs the transformation time of the technology from the laboratory to practical application. Enterprises or individual users who originally planned to use this model to optimize rocket design, develop new battery materials and other projects may face delays in research and development progress due to the delay in release, which in turn affects commercialization and work efficiency.

Thirdly, there is the impact on technological resources. During the training process of Grok3.5, approximately 275,000 NVIDIAH100 Gpus have been invested, resulting in a huge consumption of computing power resources. The extension of the grinding cycle means that these computing power resources need to be continuously occupied and cannot be released in time for other projects, which may lead to idle or wasted resources. To polish Grok3.5, xAI Company needs to invest a large amount of human and material resources in model optimization and testing. This may lead to the dispersion of R&D resources, affect the advancement speed of other projects, and reduce the overall R&D efficiency. The extended polishing cycle of Grok3.5 May lead to a slowdown in the iteration speed of AI technology. In the rapidly developing field of AI, the speed of technological iteration is of vital importance. If Grok3.5 fails to be released in a timely manner and demonstrate its advantages, xAI may be at a disadvantage in the market competition.

The fourth is the impact on the ecosystem of the technology industry. During the polishing process of Grok3.5, there may be a risk of technology abuse, such as being used for reverse engineering in military technology or the leakage of business secrets. Regulatory authorities need to invest more resources in review, and enterprises also need to bear higher compliance costs, thereby delaying the speed of technology promotion. This increase in ethical and regulatory pressure may make the industry ecosystem more complex and unstable.

To sum up, the grinding delay of Grok3.5 has exposed the deep-seated contradictions in the development of AI technology. Only through multi-party collaboration, universal resource allocation, and ethical priority can a sustainable AI industry ecosystem be built.