According to media reports, OpenAI recently stated that it is introducing a beta functional tool called “Tasks” to its artificial intelligence chat robot ChatGPT.
Introducing a new beta management tool
Compared with existing artificial intelligence assistants on the market, Tasks is more practical and efficient, and it can help users achieve new goals that current artificial intelligence assistants cannot achieve.
In addition, OpenAI also plans to release a more advanced agent system, allegedly an agent called Operator, which can write code and book travel. It is reported that the system may also be launched in the next few weeks.
The full penetration of AI technology is the general trend
Recently, the popularity of artificial intelligence (AI) has not receded, and the full penetration of AI technology is the general trend. The implementation of related commercialization models will have a profound impact on consumer electronics and other fields, and will also stimulate the market’s investment enthusiasm in related industries.
Standing at the threshold of 2025, we can see the great progress of AI technology and the urgency of commercialization in the entire industry. Moreover, as the logic of AI commercialization success is gradually realized, AI is reshaping multiple application scenarios on the B-end and C-end. It is expected that the fastest landing of AI applications will be in related vertical fields and segmented scenarios.
Industry insiders pointed out that the combination of AI and hardware is the general trend, and the level of intelligence of consumer electronics products will be greatly improved to meet consumers’ demand for a better life. This will promote the rise of emerging fields such as AI glasses, AI hardware, and AI computing power, and future consumer-grade robot products are also worth looking forward to.
In addition, CICC also pointed out that as AI technology gradually matures, the subsequent large model capabilities continue to iterate and grow, and the differences between models are narrowing. Giants have begun to vigorously deploy end-side AI to further grab the entrance to AI Agent.
Related companies are competing to lay out
Tesla (TSLA)
On January 16, Elon Musk’s xAI company launched the web version of Grok AI chatbot after launching the iOS version, which means that users can experience the various functions of Grok without visiting X.com or even having an X account.
Users only need to provide their year of birth to start using it, collect real-time information, get answers to questions, and even produce images. In addition, there seem to be some restrictions for logging in with the free plan (that is, not associated with an X Premium account), including generating 10 images every 2 hours, 3 image analysis points and 4 image generation times per day.
Amazon (AMZN)
It is understood that Amazon’s cloud computing department Amazon Web Services (AWS) plans to invest at least $11 billion in Georgia to expand its infrastructure and support various cloud computing and artificial intelligence technologies.
It is worth mentioning that Amazon has said it will invest the same amount of money in data centers in Indiana – $11 billion, and this investment will create at least 1,000 jobs. The investment commitment at the time was built on AWS’s already strong presence in the state, and the new facility was planned to house computer equipment used to support cloud computing and generate artificial intelligence.
NVIDIA (NVDA )
With the emergence of ChatGPT, competition in the field of artificial intelligence (AI) has become fierce, and NVIDIA’s high-end graphics processing unit (GPU) chips have “taken off” and are sought after by major technology companies. At the same time, including new AI models launched for NVIDIA RTX AI PC, which can push digital people, content creation, productivity and development to a new level.
These models are driven by the new GeForce RTX 50 series GPUs in the form of NVIDIA NIM microservices. Based on the NVIDIA Blackwell architecture, the RTX 50 series GPU can perform up to 3,352 trillion AI operations per second, provide 32GB VRAM and support FP4 computing, which doubles the AI inference performance and allows generative AI to run locally with less video memory usage.
Apple (AAPL)
It is reported that Apple has officially joined the Ultra Accelerator Link (UALink) Alliance and become a member of the alliance’s board of directors. UALink is an alliance of more than 65 members dedicated to developing a new generation of artificial intelligence accelerator architecture. Apple’s joining means that it will participate in the formulation and promotion of a standard for connecting a large number of GPUs in data centers to support AI tasks.
In addition, according to recent reports, Apple is developing a new AI server chip. In addition, Apple has announced that it will build Apple Intelligence into Siri, which will allow users to use ChatGPT’s professional features in Siri.
WiMi (WIMI)
It is understood that in recent years, WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has comprehensively and deeply laid out the artificial intelligence sector based on technological innovation and commercial application in the field of artificial intelligence, and continued to accelerate the accumulation of technology and breakthrough innovation in various fields such as autonomous driving, brain-like intelligence, and generative AI (AIGC), aiming to fully display the latest development achievements of the AI industry.
In fact, standing at the new starting point of AI defining the transformation of various industries, in addition to the innovative research and development of cutting-edge intelligent driving technology, WiMi deeply integrates cutting-edge artificial intelligence technology with autonomous driving, and launches AI vision and multi-modal end-to-end autonomous driving technology, providing easy-to-generalize and easy-to-popularize full-scenario autonomous driving applications, which has become an important research direction in the field of artificial intelligence, injecting new impetus into the vigorous development and application of AI across fields.
Conclusion
With the growth of demand for large model products, the growth rate of reasoning demand has risen rapidly, the efficiency of large model reasoning has been improved, and the edge computing capability has been enhanced, more and more AI capabilities can be integrated into terminal devices. This change not only improves the intelligence level of the equipment, but more importantly, it can provide a more personalized service experience. Looking forward to 2025, the development of the AI industry will show a clearer vertical differentiation trend.
