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The big reveal in the AI field in 2024: everything ordinary people need to know
The field of artificial intelligence in 2024 is undergoing many changes. Come take a look at key trends and developments.
Development of large models
- Models beyond GPT4 emerge : After OpenAI released GPT4 in 2023, it once occupied a monopoly. In 2024, there will be as many as 68 models exceeding GPT4. With the sufficient GPU reserves of major domestic manufacturers, many large domestic models have reached the GPT4 level, such as Shenzhen Seeking, Alibaba Tongyi Qianwen, Zhipu AI, Tencent Hunyuan, etc. This is due to both the overseas open source model and the Benefits are inseparable from the efforts of domestic programmers. However, there are many indicators for evaluating large models and they need to be viewed rationally.
- GPT4 follow-up model direction : GPT4O represents the multi-modal direction, which has significantly improved visual and sound understanding capabilities and can be used as an English training partner. Almost all major car manufacturers will follow up with multi-modal models in 2024. OpenAI’s OE model enhances reasoning capabilities by increasing thinking time. Although there are few practical applications, it has opened up a new path, which means that the hard intelligence of artificial intelligence has reached the top level of humans. In this regard, OpenAI is unparalleled and has a gap with domestic teams.
- Competition among video generative models : Video generative models belong to the multimodal category. After OpenAI released relevant videos in early 2024, many domestic companies quickly followed up, giving birth to new models such as AI video bloggers, AI short plays, and AI movies. Self-media track.
The smoke of price war
- Foreign price competition : In October 2024, the cheapest version of the GERMANY1.5 flash series released by Google was 27 times cheaper than GPT3.5turbo. For just 10 yuan, you can generate descriptions for 68,000 photos.
- Domestic involution is fierce : before May 2024, the gross profit margin of domestic large model inference computing power will exceed 60%. In May, Shenzhen sought to take the lead in cutting prices, triggering major manufacturers such as ByteDance, Alibaba, Baidu, and Tencent to follow suit. Looking to the future, Deep See released the open source model Deep SK v3 in December. Prices are surprisingly low, which is a good thing for both consumers and developers.
AI’s transformation in programming
- Wide range of applications : 30% of ChatGPT usage scenarios in 2023 are programming. Among the AI companies invested by the well-known investment institution YC in 2024, the programming field will occupy the second place. People who don’t know how to program can also make money by outsourcing AI programming. AI programming products such as cursors frequently appear in self-media.
- Product evolution : Domestic products such as Byte MASCODE, Alibaba Unified Zero Code, Baidu Wenxin Kuaima, etc. are evolving from programming auxiliary tools to programming intelligence, and their functions are constantly enriched. There are even products like DAVIN. For products that cost $500 a month and get the job done end-to-end, programmers seem to be "killing" programmers, but the era of general-purpose programming has not yet arrived.
Integration of search and artificial intelligence
- Search engine changes : In 2022, confusion will combine search with large models, threatening search giants such as Google and Baidu. Microsoft Bing will add AI search functions in 2023, Google Search will also add AI summary functions in May 2024, and OpenAI will add online search functions to ChatGPT. Different product formats are converging.
- The crisis of content websites : This makes content websites unsatisfied. Originally, websites and search engines were mutually beneficial. Search engines now use artificial intelligence to summarize content. Users can enter the website without clicking, and the website gives people a feeling of being "liberated".
AI hardware exploration
- Product status : AI ping, Rabbit R1 and other AI hardware will be shipped in early 2024, but the actual performance is not good. Products such as AI mobile phones, AI computers, AI headphones, and AI glasses have appeared in the country. Currently, most of them only have a cool appearance and have limited practical use.
- Development trend : Small models deployed on the device side are the trend in 2024. Meta released lama3.2 lightweight multi-modal model. The release of Meta Ribbon smart glasses in 2023 is exciting. By the end of 2024, the domestic Blitz company has launched a benchmark product, and it is expected that more practical AI glasses will appear in 2025.
Competition and dilemmas in the AI industry
- The dilemma of start-ups : In 2024, many overseas star start-ups are seeking acquisitions, and companies with stable and widespread development are also unable to make ends meet. Faced with high costs and competition from giants, start-ups either go bankrupt, are acquired, or cooperate with giants. The AI mod webpage shows that as of June 2024, 738 projects have failed.
- Pressure on domestic big models : The "Six Little Tigers" of domestic big models are facing a sharp increase in training costs and interference from giants. In 2025, some companies may give up training the underlying large models and turn to applications. Investors who have not invested in large models in 2023 will be anxious, and investors who have invested in large models in 2024 will be even more anxious. AI entrepreneurship is heavily involved and it is difficult to make money.
In short, the AI field in 2024 is full of opportunities and challenges. While it may be overvalued in the short term, the long-term potential is huge. Let us wait and see what surprises and changes artificial intelligence will bring us in the future. Everyone is welcome to share your views and expectations on AI in the comment area, and don’t forget to like and share!
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