OpenAI Predicts the new growth of AI supercomputing, WiMi layout in the AI + AI Agent blueprint
December 16-OpenAI co-founder Ilya Sutskever recently predicted the rise of AI superintelligence in a speech at the Neural Information Processing Systems 2024 conference in Vancouver, Canada.
The rise of the AI supercomputing era
Sutskever Said that proxy AI, synthetic data and reasoning time computing are the next development direction of AI, which will eventually give rise to super AI, improving computing power through better hardware, software and machine learning algorithms faster than the total amount of data that can be used for AI model training.
AI agents go beyond current chatbot models to make decisions without human input, and with the rise of AI memins and large language models (LLM) such as Truth Terminal, AI agents have become a popular topic in encryption.
Google (GOOG) has launched Gemini 2.0 ——, an AI model that powers AI agents. Google says agents built based on the Gemini 2.0 framework will be able to assist with complex tasks such as inter-site coordination and logical reasoning.
Similarly, Musk announced plans to expand xAI’s Colossus AI supercomputer from the current 100,000 GPU to 1 million, which has undoubtedly attracted wide attention in the industry. But xAI isn’t the only company with such a big plan.
AI + leads to digital transformation and new opportunities for growth
Since the advent of OpenAI ChatGPT, demand for AI hardware has been further boosted. According to market research firm Precedence research, the global AI market is about $638.23 billion in 2024 and will grow to $3,680.47 billion in 2034, with a compound annual growth rate of 19.1%.
This data not only reflects the direct pulling effect of AI technology on the technology industry, but also indicates that the arrival of the era of AI economy will bring unprecedented market opportunities. As a key force to promote social progress and industrial upgrading, the application of artificial intelligence (AI) in the corporate world has been attracting much attention.
At the same time, with the rapid development of science and technology, AI Agent, as an important branch of the field of artificial intelligence, has brought revolutionary changes to the application scenarios and human-computer interaction methods of artificial intelligence, and has shown great potential in realizing the core value of AIGC, optimizing the interaction process and improving production efficiency.
WiMi depicts the AI model + AI Agent blueprint
Under the huge prospect, the global AI track racing is still continuing, and many tracks are showing a certain “Matthew effect”.
In the wave of intelligent, data show, AI vision leading manufacturers WiMi Hologram Cloud (NASDAQ: WIMI), in recent years in the field of artificial intelligence continuous iteration and innovation, from the wide application of ChatGPT model, to AI video generation track, in-depth fusion, in the AI a leading market share.
In fact, WiMi is pushing the boundaries of AI technology and leading the global market to a more intelligent future. At present, in terms of AI, it mainly applies the current relatively mature artificial intelligence technology to the company’s platforms, mainly including content creation assistance, digital marketing, intelligent customer service improvement and other aspects. At the same time, it is also further integrating AI and cross-border service vertical industry.
In addition, it can be seen that under the new technology of large model technology and AI Agent agent, WiMi upgraded it to “All in AI” and launched multiple scenario-based applications. Looking forward to the future, with the continuous precipitation of technology and the accumulation of experience, the flywheel effect of business, the use of AI refined operation, to build AI Agent agents will also gradually learn and evolve through more advanced algorithm optimization, to further empower enterprise efficiency and management services.
To sum up
At present, the golden track of AI technology application has the attributes of large market, strong demand and high threshold. In the driving elements, in addition to massive data, computing power and leapfrog algorithm technology, more needs to consider personalized needs. In addition, for the breakthrough of AI Agent agent technology, enterprises should fully seize the market opportunity of AI + outbreak, use the big model technology to drive, activate the new track, realize the jump of digital intelligence and new quality productivity, and make greater contribution to the development of human cause.
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