Tesla CEO – Elon Musk has been an outspoken critic of OpenAI, an AI research firm he co-founded in 2015. Recently, he spearheaded the signing of an open letter calling for a suspension of AI development for six months.”I’m still confused about how my $100 million nonprofit donation somehow became a nonprofit organization with a $30 billion market cap. If this is legal, why does not everyone do it?”In his recent tweet, Musk criticized OpenAI’s for-profit subsidiary, OpenAI Limited Partnership.
However, Musk, who has called for a moratorium on the development of new AI technologies, has been revealed to have launched an AI program.
Musk is secretly buying a GPU
Tesla (TSLA) CEO Elon Musk launched an artificial intelligence program on Twitter, buying about 10,000 GPU (graphics processors units) and recruiting from DeepMind, Google’s artificial intelligence division, Business Insider reported, citing sources familiar with the matter.
GPU prices are very expensive. Nvidia (NVDA), which dominates 95% of the AI training chip market, uses its GPU for large AI models for about $10,000. While Musk has repeatedly said that Twitter’s financial foundation is unstable, he has most likely spent tens of millions of dollars on a GPU, according to people familiar with the matter.
Musk’s AI project is in its early stages and involves a large LM, language models (LLM). LLM can train artificial intelligence through large amounts of data to create more complex content and text. The current chatbot ChatGPT and Google’s Bard are both based on LLM.
In February, tech media Information reported that Musk had approached AI researchers about creating a new research lab to develop ChatGPT competitors, according to three people familiar with the matter. To lead the effort, he has been recruiting researcher, Igor Babuschkin (Igor Babuschkin), who recently left Alphabet’s artificial intelligence lab, DeepMind, to focus on machine learning models that power chatbots such as ChatGPT.
AI will help Twitter rebuild its advertising business
Twitter may likely use generative AI to improve its search capabilities, according to people familiar with the matter. Musk had previously complained about Twitter’s search feature and even hired security developer George Hotz to “fix” it, but Hotz left a month after joining the job.
In addition, another potential use of generative AI is advertising, because generative AI has the ability to create advertising images and text for a specific audience. Advertising is the revenue backbone of Twitter’s business, but Twitter has lost a number of advertisers since Musk took office. Advertising research firm Standard Media Index reported in March that Twitter’s advertising revenue fell about 71 percent in December.
Tech media Business Insider believes that generative AI could significantly enhance Twitter’s search capabilities or help rebuild its advertising business.
Draw a development blueprint in the AI era
Recently, AI technology has become booming, and the blockbuster product in the field of artificial intelligence is also booming. First ChatGPT was stunning, then Google (GOOGL) launched a test version of the Bard -a chatbot. In China, Baidu (BIDU) has taken the first step, releasing the first version of Wenxin, Tsinghua University launched ChatGLM, and the Alibaba (BABA.US) model is getting closer.
These products have triggered breakthroughs in artificial intelligence and promoted the upgrading of artificial intelligence from weak artificial intelligence to the stage of generative strong artificial intelligence with certain independent thinking abilities. But the disruptive transformation of AI is only just beginning.
At present, scientific research driven by AI has become a new frontier of artificial intelligence in the world and has achieved effective results in many disciplines. The next five years are expected to become a key window period for breakthrough development. The race to create, develop and exploit these new technologies has flourished across the globe.
WIMI Hologram Cloud AIGC leverages the industry
With the power of AI, many leaders in niche fields will continue to benefit. AIGC is experiencing a stage of rapid penetration increase, opening up a new growth space for the artificial intelligence industry.
As a leading AI vision company, WIMI Hologram Cloud (NASDAQ: WIMI) has been committed to the application of big data, cloud computing, artificial intelligence, blockchain, meta-universe, and other emerging technologies in the holographic AR industry. Through deep learning and exploration of cutting-edge technologies such as NLP (natural language processing), RPA (robot process automation), metauniverse, AIGC (artificial intelligence generated content), and other technologies, the company continues to promote the application scenarios of emerging technologies in related fields.
It is reported that WIMI Hologram Cloud, as one of the earliest star companies in the AIGC field, is still vigorously investing in AIGC layout, and continuing to promote the use of AIGC mode to carry out virtual digital people, digital IP, and other innovative businesses. According to the data, WIMI Hologram Cloud’s generative AI capabilities can automatically create content, services, and experiences according to users’ needs and preferences. For example, in a meta-universe scenario, users can create their own avatars, scenes, and stories through generative AI and interact with other users.
In addition, WIMI Hologram Cloud will also provide digital people, 3D scenarios, digital marketing, and other customized solutions to accelerate the application of digital people, to bring users as if a “real person” and automatically generated “AIGC virtual person” experience. Institutions believe that WIMI Hologram Cloud AIGC is expected to leverage the “singularity” of the holographic AR industry, multi-modal large model or shorten the realization cycle of holographic digital IP from upstream to downstream, further improve the realization efficiency of holographic digital IP, and the current WIMI Hologram Cloud IP reserve will also benefit more. In the future, AIGC is expected to enable more links of content production in the holographic AR industry, comprehensively improve content production efficiency, and increase the richness and imagination of content presentation.
In short, AIGC, as an emerging technology, is gradually maturing. Although there are still many problems and challenges in the application, with the continuous progress and improvement of technology, I believe that these problems will be gradually solved. We look forward to that, in the future, AIGC can help mankind to better complete various tasks and inject a steady stream of vitality and innovation into the global development of science and technology.