What is AIGC ?

AI-generated content (AIGC) refers to content that is created with the assistance or entirely generated by artificial intelligence (AI) systems. These systems use machine learning algorithms, deep learning models, or other AI techniques to produce content, such as text, images, videos, music, and more. AI-generated content has become increasingly prevalent in various fields and industries due to advancements in natural language processing, computer vision, and other AI technologies.

Examples of AI-generated content include:

Text Generation: AI models can generate human-like text based on given prompts or input. This can be used for various purposes, including writing articles, creating product descriptions, or even composing poetry.

Image Generation: AI algorithms can create realistic images based on certain criteria. Generative Adversarial Networks (GANs) are commonly used for this purpose, producing images that may look indistinguishable from those created by humans.

Video and Animation: AI can be used to generate video content, including deepfake technology that manipulates and alters videos. Additionally, AI algorithms can assist in creating animations or enhancing video quality.

Music Composition: AI models can compose music or generate musical pieces based on specific styles or genres. This is often used in the entertainment industry for creating background music or even entire soundtracks.

Graphic Design: AI tools can assist or automate graphic design tasks, generating visuals for websites, advertisements, or social media content.

While AI-generated content can be a powerful tool, there are also ethical considerations, including concerns about misinformation, bias, and the potential for malicious use. It’s important to carefully consider the implications and ensure responsible use when employing AI in content creation.

Large Language Models (LLMs) are used to facilitate scripts assessment with an accuracy rate of scene and character breakdown exceeding 90%

BEIJING, Aug. 25, 2023 /PRNewswire/ – iQIYI, an innovative market-leading online entertainment service in China, announced in this week that it has used Generative AI to improve content production and marketing efficiency, which has shown encouraging initial results with over 90% accuracy of scene and character breakdown. The model also demonstrates the company’s strong capability in leveraging technological innovation to empower entertainment industry and enhance user experience.

According to iQIYI, the content creators can now leverage AIGC(AI Generated Content) technologies to extract core information from scripts, assisting in script evaluation in the pre-project stage and realizing more accurate budget planning and resource management. Furthermore, it can quickly assess intricate story plots to enhance the user experience by improving search results, recommendations, and playback interactive experience.

“By introducing AIGC to empower content production and operation, iQIYI expects to enhance quality and efficiency on content operation and promotion while continuously improving user experiences,” LIU Wenfeng, Chief Technology Officer of iQIYI said, “multiple titles over 10,000 iQIYI’s content popularity index are now using AIGC for internal operation and external promotion. "

iQIYI has developed Xingluo, an AIGC platform that leverages advanced capabilities of LLMs and proprietary technology to comprehend and enhance the storyline of long-form video content. Xingluo generates automated batches of various video types and diverse text and image content, including film narrations and blended clips.

Moreover, this platform enables users to swiftly navigate to specific episodes and scenes by searching popular keywords related to trending dramas on social media platforms like Weibo. For instance, the popular iQIYI drama series Destined, which has garnered significant attention online this summer, can be instantly accessed through search on iQIYI when users are captivated by a specific plot or scene being discussed. Furthermore, apart from dramas, the model has also been utilized in popular variety shows like The Big Band 3.

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As of date, tens of thousands of iQIYI content albums have incorporated AIGC to assist in generating operational materials. This has resulted in more than 700,000 operation items of videos, text and images, and other materials.

iQIYI has been exploring the application of AIGC in the video space since 2022. In February 2023, iQIYI announced a framework agreement with Baidu to connect iQIYI with Baidu’s generative dialogue product ERNIE Bot. The purpose of this collaboration is to jointly explore the utilization of AIGC across various business endeavors of iQIYI, including content search, novel creation and tools, among other areas.

In the first half of 2023, iQIYI also established the “iQIYI AIGC Content Technology Innovation Center” to continuously explore more integrated scenarios of AIGC and entertainment industry.

Besides, AIGC has also been effective in creating advertising content ideas and boosting monetization performance. According to iQIYI, ROI increased by 20 percentage points in terms of using generative AI to produce performance ad content. For example, iQIYi’s performance ad platform has successfully integrated AI-powered applications into streamline copywriting and graphic design, and making them available for advertising brands and agencies. This advancement has significantly enhanced the efficiency of ads production processes.

Looking forward, iQIYI is committed to utilizing AIGC to empower the ecosystems of various iQIYI business lines. Meanwhile, the company actively leverages the technology to achieve more breakthroughs in script creation, evaluation, animation production and commercialization, boosting the upgrade and revolution of the industry.

CONTACT: iQIYI Press, press@qiyi.com

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SOURCE iQIYI Recently, I had the privilege of speaking at a conference in Nanjing, China, where I delved into the revolutionary impact of the integration of Artificial Intelligence Generated Content (AIGC) and Virtual Reality (VR) in education and training. This pioneering approach promises to redefine how we learn and prepare for various careers, especially in the vocational sector. In this blog, I share some reflections and hypotheses that could chart the course for the future of vocational education:

But first, let’s get our definitions right!

What is Virtual Reality, or VR?

Virtual Reality, or VR, is an immersive technology that replicates an environment, real or imagined, and simulates a user’s physical presence in that environment to allow for interaction. VR artificially creates sensory experiences, which can include sight, touch, hearing, and more.

What is Artificial Intelligence Generated Content (AIGC)?

Artificial Intelligence Generated Content (AIGC) refers to content created autonomously by AI without human intervention. AIGC can generate text, images, videos, and other forms of content, which can be customized and optimized for different purposes, such as education, marketing, or entertainment.

AIGC and VR: The New Frontiers in Vocational Education

In the traditional vocational education landscape, learning materials are often static, making it challenging for learners to prepare for real-world scenarios. However, the fusion of AIGC and VR is set to bridge this gap, ushering in an era of interactive and engaging vocational training.

But how?

1. Bridging the Gap Between Theory and Experience

With VR and AIGC, vocational education can transcend the limitations of textbooks and classroom lectures. Learners can immerse themselves in lifelike training scenarios, gaining hands-on experience, and mastering essential skills. For instance, soft skills, which are critical in the service sector, could be honed through AI models such as Nvidia’s ACE program.

2. Overcoming Roadblocks with AIGC-Powered VR

Two significant roadblocks frequently hinder the effectiveness of Technical and Vocational Education and Training (TVET) programs: the availability of experienced industry trainers and the cost of well-equipped training facilities. AIGC-powered gamified vocational training in VR can shatter these barriers, democratizing education and making it more accessible to all.

3. The Future of Vocational Education: In Your Pocket

The future of vocational education could be as accessible as reaching into your pocket. With tech giants like Apple introducing VR devices such as the Vision Pro, vocational education could soon become accessible to anyone with a smartphone or VR headset. Through user-friendly apps, learners can receive certifications without the need for traditional educational institutions or physical training centers.

AIGC and VR in the Hospitality Industry

The integration of Artificial Intelligence-Generated Content (AIGC) and Virtual Reality (VR) into vocational training holds immense promise for the hospitality industry, which thrives on diverse service offerings and intricate customer interactions.

1. Enhancing Service Training

AIGC-powered VR training is poised to revolutionize customer service skill development for hospitality professionals. Through VR, they can immerse themselves in lifelike scenarios involving a variety of customer profiles and challenging situations. Whether it’s handling a demanding guest or managing a service crisis, these realistic simulations provide valuable practice and immediate feedback, enabling professionals to refine their skills and build a stronger customer-centric approach.

2. Improving Culinary Skills

In culinary education, VR offers a safe and cost-effective environment for aspiring chefs to learn and practice their craft. Virtual kitchens allow students to experiment with different dishes, explore various ingredients, and experience the pressures of a bustling kitchen without the real-world risks associated with culinary mistakes. This innovative approach not only fosters creativity but also ensures that culinary students are well-prepared for the challenges of a professional kitchen.

3. Hotel Management Training

VR can play a pivotal role in hotel management courses by providing students with immersive experiences in various aspects of hotel operations. From front desk operations to housekeeping management, students can engage with virtual hotel scenarios that closely mimic real-life situations. This hands-on training equips them with practical knowledge and skills, helping them navigate the complexities of the hospitality industry with confidence.

Source: EHL Advisory Services

The integration of AIGC and VR into vocational education is a transformative shift that promises to make learning in the hospitality industry more engaging, accessible, and aligned with evolving industry needs. As VR devices and AI-driven content gain wider acceptance, it’s essential to embrace this transformation and shape the future of hospitality education accordingly.

We stand at the threshold of a future where classrooms expand beyond traditional boundaries, and experiential learning becomes the norm. With AIGC and VR as powerful tools, the hospitality industry is on the verge of a promising educational revolution that will empower professionals to excel in their roles and enhance the overall guest experience.

EHL Hospitality Business School

Communications Department

+41 21 785 1354

EHL Advisory Services

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Overview of the attack unveiled by the researchers. (1) The adversary collects data from the target AIGC service. (2) The adversary uses an open-source denoising model to purify the collected data. (3) The adversary adopts the original and purified data to train a GAN, which can be used to remove or forge the watermark. Black and white images stand for images with and without watermarks, respectively. Credit: Li et al.

With the advent of LensaAI, ChatGPT and other highly performing generative machine learning models, the internet is now growing increasingly saturated with texts, images logos and videos created by artificial intelligence (AI). This content, broadly referred to as AI generated content (AIGC), could often be easily mistaken for content created by humans or any computational models.

The growing use of generative AI models has thus opened key questions related to intellectual property and copyright. In fact, many companies and developers are unhappy with the widespread commercial use of content generated by their models and have thus introduced watermarks to regulate the diffusion of AIGC.

Watermarks are essentially patterns or characterizing marks that can be placed on images, videos or logos to clarify who created them and owns their copyrights. While watermarks have been widely used for decades, their effectiveness for regulating the use of AIGC has not yet been ascertained.

Researchers at Nanyang Technological University, Chongqing University and Zhejiang University recently carried out a study exploring the effectiveness of watermarking as a means to prevent the undesired and unattributed dissemination of AIGC. Their paper, published on the pre-print server arXiv, outlines two strategies that could easily allow attackers to remove and forge watermarks on AIGC.

“Recently, AIGC has been a hot topic in the community,” Guanlin Li, co-author of the paper, told Tech Xplore. “Many companies add watermarks to AIGC to protect the IP or restrict illegal usage. One night, we discussed whether we could explore a new advanced watermarking for generative models. I just said, hey, why not attack the existing watermarking schemes? If we can remove the watermark, some illegal AIGC will not be treated as AI-generated. Or if we forge a watermark into some real-world content, they could be treated as AI-generated. That could cause a lot of chaos on the internet.”

As part of their study, Li and his colleagues demonstrated a computational strategy to erase or forge watermarks in images generated by AI models. A person using this strategy would essentially first collect data from a target AI company, application or content generating service and then use a publicly available denoising model to ‘purify’ this data.

Clean images and corresponding outputs produced by the team’s model. The top two rows are clean images. Credit: Li et al.

Finally, the user would need to train a generative adversarial network (GAN) using this purified data. The researchers found that after training, this GAN-based model could successfully remove or forge the watermark.

“The idea behind our study is quite straightforward,” Li explained. “If we want to identify the watermarked content, the distribution of watermarked content should be different from the original one. Based on it, if we can learn a projection between these two distributions, we will be able to remove or forge a watermark.”

In initial tests, Li and his colleagues found that their identified strategy was highly effective in removing and forging watermarks from various images generated by an AI-based content generation service. Their work thus highlights the vulnerabilities and consequent impracticality of using watermarking to enforce the copyrights of AIGC.

“It is not surprising that advanced watermarking schemes can be easily removed or forged if the adversary has full information about the watermark schemes, but it is surprising that even if we only have watermarked content, we are still able to do that,” Li said.

“On the other hand, our method is based on the distribution of data, therefore, it indicates that the existing watermarking schemes are not secure. To be honest, I do not want our work to become a real-world threat, because it would make us unable to govern the generative models. Personally, I hope it will inspire others to design some more advanced watermarking schemes to defend against our attacks.”

The recent work by this team of researchers could soon inspire companies and developers specialized in generative AI to develop more advanced watermarking approaches or alternative approaches that are better suited for preventing the illegal dissemination of AIGC. Inspired by their own findings, Li and his colleagues are now also trying to develop some of these approaches.

“We are now mainly studying some new watermarking schemes for generative models, not just for image generation techniques, but also for other models,” Li added.

More information: Guanlin Li et al, Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content, arXiv (2023). DOI: 10.48550/arxiv.2310.07726 Journal information: arXiv

© 2023 Science X Network Chinese artificial intelligence company shares have surged this past Monday, showing strong confidence in China’s AI-generated content sector, boasting an increase of 4.38 percent.

China’s artificial intelligence company shares surged on Monday, the first trading day after the Spring Festival, with ChatGPT’s booming popularity, and the tech giants' announcement to expand into the so-called AIGC or AI-generated content sector.

ChatGPT, an Elon Musk-supported chatbot, is able to mimic human-like responses with AI-generated content. The new tech has quickly become popular in China.

Baidu Inc plans to launch an AI tool similar to OpenAI’s ChatGPT in March, while Microsoft Corp has looked at increasing stakes in OpenAI from its US$1 billion investment now, according to media reports.

They have all helped fuel Chinese AI shares on Monday.

China’s AIGC index, provided by data firm Wind, jumped 4.38 percent on Monday, compared with Shanghai’s main board growth of 0.14 percent. AI shares iFlytek and Hanvon surged 10 percent daily cap on Monday.

iFlytek, which offers voice recognition and automatic translation services, closed 10 percent higher at 41.67 yuan (US$6.19).

AI innovation and services will be in wider use in the automotive, medical and education industries. Powered by AI techs, iFlytek’s net profit will grow more than 30 percent annually since 2023, company chairman Liu Qingfeng said in a recent conference.

Ti Gong

Hanvon, which has e-book and character recognition tech, gained 10 percent daily cap to close at 18.41 yuan. The company now offers RPA (robotic process automation) and OCR (optical character recognition) tech, which can greatly reduce time and cost for duplicated work.

The ChatGPT, supporting English and Chinese, is used for writing news and essays, making business proposals, creating poems in selected topics, and even checking program bugs – it can all be done within seconds.

Based on excellent machine learning algorithms and powerful computing power, through massive data training, AI has really learned to “think.” AIGC, including ChatGPC, has great commercial value, according to Guosheng Securities.

But industry officials warned many AI applications are different from ChatGPT, which represents a more advanced and evolved AI. Investors should be cautious about the risk.

HK-listed Baidu closed at 136.1 Hong Kong dollars (US$17.4) on Monday, 0.58 percent lower than the previous trading day. But it was much better than the performance of the other two HK-listed tech giants Alibaba and Tencent, which dropped about 7 percent in the Hong Kong market on Monday. Chainwire Revolutionizing the NFTs- Telept City Launches Cutting-Edge AIGC NFT Platform for Web3 Chainwire · · 4 min read

Disclaimer: This is a sponsored press release. Readers should conduct their own research prior to taking any actions related to the content mentioned in this article. Learn more ›

San Francisco, USA, 25th February, 2023, Chainwire — Telept Inc., a Web 3.0 startup, has announced today the launch of a ground-breaking first-mover Web PC platform Telept City, which empowers participants to create one-of-a-kind AI generated Non-Fungible Token (NFT) called X-Native. With its cutting-edge AI Generated Content (AIGC) image generation model that has undergone rigorous fine-tuning utilizing a vast database of images, and coupled with an intuitive game-like user interface, provides a novel and accessible AI Web 3.0 experience for participants of all levels. Creating NFT is a breeze with Telept City, and it can be done with minimal effort and costs.

What is Telept City?

Imagine the users are capable of generating an NFT through a AI powered platform similar to playing a text adventure game. Telept City’s multiple-choice options are presented in a way that is both engaging and easy to navigate. Upon logging onto Telept City via Metamask wallet, users are greeted with an interface that’s reminiscent of a trivia game. The questions were designed to tap into users’ thinking about their own self-image through a gamified approach and to help them create their desired NFT. The AI interprets the answers and generates a user-defined image, which can be finally encrypted as an NFT of X-Native Collection.

Telept City – PC webpage, style of sci-fi universe. Telept City

What is X-Native Collection?

The set of NFTs produced by Telept’s AI exclusively for Telept City users is known as X-Native (Official Name on OpenSea ‘Telept City: X-Native’). The concept of X-Native project is based on benchmarking the visual version of Ethereum Name Service. The X-native collection is an ever-expanding library of NFTs created using the Telept AI. In addition to owning a piece of historic NFT art and an asset worth ETH, the primary advantage of owning X-Native is its social significance and exclusive privilege, as outlined in the X-Native roadmap which will be released on March, 23rd. It contains AI NFTs and X-Native Mystery boxes with exclusive IP on the Ethereum.

The beta version of X-Native’s NFT

The beta version of X-Native Mystery Boxes

As the CEO of Telept, Lika Lee believes that the value of an NFT will go beyond just its financial worth and has the potential to produce significant social value. “Decentralizing NFT production is the trend. With the growing adoption of NFTs, we are committed to making it easier for everyone to create them, whether the user is experienced with Web 3.0 or just getting started. We will take the first step of using AI and NFT technology to shape a new way of forming identity and personality representation, while also providing an unprecedented way for people to experience industry changes.” Lika Lee says. Telept expects to see even more application scenarios for NFTs once the labor required to create them has been reduced.

Telept City – PC webpage, text adventure style NFT generation process Telept City

Telept City : A New Era of Empowered Digital Asset Creation

The NFT market has been experiencing tremendous growth in recent years, and the AI is poised to take this trend to new heights. In today’s digital landscape, these interactions are often expensive, intimidating and high entry barriers. Telept City is a platform that leverages AI to automate the NFT creation process, making it accessible for anyone to create unique NFTs. The platform uses a semi-customized set of text inputs, in the form of selected words or phrases, to generate an image with a wide range of styles. In the upcoming version, users will be able to actively participate in the creation of their own NFTs by giving simple text. The goal of Telept City is to democratize the process of creating NFTs and empower individuals to express themselves creatively through the use of AI technology, representing a significant stride towards a more decentralized and equitable digital future for the industry.

Further Thinking of the Telept City

Telept represents a revolutionary approach to NFTs, combining both blockchain and AI technologies to enable new forms of digital ownership and social interaction. The team will continue working towards its goal of empowering individuals, organizations, and communities by providing them with greater control over their data, on-chain identity, and social potential.

Can’t wait to unlock a world of limitless possibilities with AIGC NFT? Make an AI NFT to become a member of X-Native. For more information, visit Telept City’s Website.

About Telept

Telept is an all-in-one Socialfi Mobile DApp under the umbrella brand of a Stealth Startup. The company houses a number of products that span various categories that empowered with groundbreaking technologies. Telept makes building and launching Web3 projects easy from news feeds, groups, projects and more.

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[email protected] China’s AIGC-interested users, or internet users who are active followers of AIGC (Artificial Intelligence Generated Content) on social media, appear to spend more time (160.5 hours per month) in the digital space, compared to typical netizens (146 hours each month), as per the latest statistics in April from Quest Mobile, a Beijing-based big data intelligence service.

The occurrence reflects the ongoing global AI-momentum sparked by the birth of ChatGPT last November and was further fanned by the release of Chinese rivals including ERINE chatbot created by Baidu and Alibaba’s Tongyi Qianwen.

The report is based on user data collected in February from major Chinese social media platforms including WeChat, Weibo (China’s answer to Twitter), Xiaohongshu (China’s lifestyle-sharing platform), Douyin (Chinese TikTok) and its rival Kuaishou and China’s YouTube equivalent Bilibili. It found that men are the backbone of AIGC consumers, making up 55.6% of the total users who are interested in this content, with post-90s and post-00s dwelling in Tier-1 and new Tier-1 cities making up the majority.

These tech-savvy users are also more likely to show interest in fields such as fitness, travel, and ACG (Animation, Comics and Games) subcultures. Meanwhile, the AIGC-interested group appears to be more enthusiastic in trying out different apps, reporting an average of 36.7 apps used in the surveyed month, compared to 25.9 apps from ordinary internet users.

Douyin was seen to be the space favoured by AIGC-followers, recording the highest TGI at 167 in the observed period. TGI, or Target Group Index, is a measure of how much more likely members of the target group are to use or consume a particular service or product compared to the average consumer. Music and other video streaming platforms such as Kugou Music and QQ Music, iQiyi and Tencent Videos are among the top online destinations drawing in Chinese AIGC enthusiasts.

In addition to traditional options, emerging AI-based inventions such as StyleArt, an AI drawing application is also gaining traction, hitting 2.9 million monthly active users as of November 2022. While Yijian AI Drawing, a mini-program embedded in Tencent’s super messaging app WeChat is reported to have amassed more than 1.1 million users within 43 days and garnered over 4.4 million monthly active users as of last November.

This shows that the AIGC fever provides another avenue for China’s digital growth. By understanding the online behaviours of its AIGC chasers, market players in the wider sector can leverage the global phenomenon to better engage with China’s shrewd demographics.

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Join our newsletter U Design Week, an annual design industry summit held by Alibaba Group Holding, saw artificial intelligence-generated content (AIGC) take centre stage this year as global business executives discussed the fusion of tech and art at the four-day event which concluded on Sunday in Hangzhou, the e-commerce giant’s home city.

William Shen, vice president and general manager, APAC professional visualisation computing at Nvidia, the world’s most valuable chip maker, delivered a keynote speech on June 1 about how generative AI can be used to help content creators, developers and business leaders increase productivity.

“The whole industry has been conducting research based on Nvidia graphics processing units [GPUs],” Shen said in a sit-down interview with staff at the event, adding that while generative AI has “matured in terms of two-dimensional images”, the three-dimensional space is still developing rapidly.

The summit, which has both industry forums and art designer exhibitions, began in 2015 under the original name of Alibaba Design Ucan and was renamed as U Design Week in 2022. It brings together design leaders, business leaders and product operation experts from various parts of the world to discuss business innovations and industrial upgrades powered by design. AI Photo:VCG

Douyin, the Chinese version of TikTok, on Tuesday announced 11 regulations and industry initiatives regarding artificial intelligence generated content (AIGC), which shows that domestic platforms are taking a proactive step for the opening of “Pandora’s box” as more players rush into ChatGPT-like services, observers said.The rules, together with a draft regulation issued by China’s cyberspace authority on April 11, will foster the sector’s sound and stable development, and its experience may expand to international markets amid a global competition for the new technology, they noted.Publishers should clearly label AIGC to assist users in distinguishing between virtual and real content, particularly in confusing scenarios. Also, virtual individuals must be registered on platforms, and the users of virtual person technology must be authenticated using their real names, Douyin said in its initiative.The use of AIGC technology to create or distribute content that goes against scientific common sense, or fabricates or spreads rumors, is strictly prohibited.Publishers are responsible for the consequences of AIGC, regardless of how it is generated, the company said, warning of “strict penalties” upon discovery of content in violation of these rules.The platform will provide a unified AIGC identification capability to assist creators in labeling their content.The company said it believes that AI technology is both an opportunity and a challenge for the entire internet industry. As such, it advocates for “all providers of generative AI technology to clearly label generated content for public judgment.““The use of a unified generative AI content data standard or metadata standard should be adopted to facilitate recognition by other content platforms,” it said.It’s a reasonable and timely initiative, and major platforms will follow up, Pan Helin, joint director of the Research Center for Digital Economics and Financial Innovation affiliated with Zhejiang University’s International Business School, told the Global Times on Tuesday.But it remains to be seen if it can be implemented, for instance, how to penalize violators, Pan said.The rules come as the double-edged technology is influencing more industries and creating controversy worldwide. After being tried in China, experience may expand to the global market through its TikTok platform, analysts predicted.Apart from Douyin, the popular Chinese Instagram-like fashion and lifestyle sharing platform Xiaohongshu has started to label images and posters suspected of being created by AI, and advised users to distinguish between what is real and what is computer-generated.“Platforms are now fully aware of the potential risks before opening the ‘Pandora’s box’, while addressing potential concerns related to the authenticity and trustworthiness of the content,” a staffer at a major Chinese internet company told the Global Times on Tuesday.Authorities in China have stepped up oversight of related technology - a move that other global counterparts are still mulling it over. China’s cyberspace authority issued a content regulation draft for AI on April 11, voicing clear support for innovation, promotion and application in AI algorithms and frameworks.According to the draft rules, which are open for public comment until Wednesday, operators are asked to report to regulators for safety reviews before providing such services to the public, and they are urged not to use advantages like algorithms, data or platforms to engage in unfair competition.“So far, the rules proposed by the platforms are stricter than the nation’s,” said the staffer, who asked to remain anonymous, noting that a multi-layered regulatory system will also better guide the industry to grow.Chinese tech giants such as Alibaba, Tencent and Baidu have all launched plans to develop a ChatGPT-like chatbot, and are striving to utilize AI technologies in their business development and product innovation to gain a stake in the arena without being left behind.“The impact of generative AI technology is no less important than that of the birth of the personal computer or the internet,” Liu Qingfeng, chairman of iFlytek, said on Saturday, as the company unveiled its generative language model SparkDesk rivaling ChatGPT.“We need to do our best to learn from ChatGPT, and even seek to surpass it,” Liu said.Work on the national level has been accelerated. The Ministry of Science and Technology asked the industry to “accelerate information technology empowerment to news publicity and publication” during a conference for the press and publication industry last week, asking the sector to strengthen research on the development of information technology and actively explore innovative practices.China has done a lot of planning and research in areas related to AI chatbots, but there may still be more work to be done to achieve similar effect of OpenAI, the developer of the ChatGPT, Chinese Minister of Science and Technology Wang Zhigang said in March.“It is hoped that domestic and foreign enterprises can achieve more good results in the field of AI. At the same time, we must also pay attention to standardizing the ethics of science and technology, seeking advantages and avoiding disadvantages,” Wang said. Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here.

AI-generated art has been around for several years, although it wasn’t until recently that it became mainstream. In terms of its market, AI art creation platforms fall into the AI-generated content (AIGC) bucket.

DALL-E 2 is one type of AIGC. It creates images of comparable quality to those produced by human artists by inputting certain keywords into the machines’ parameters. And that ease of use translates into big business. According to InsightSLICE, the global AIGC market will reach $38.2 billion by 2030.

In early 2022, a series of AI-powered algorithms were introduced that gave users of all skill levels the power to generate images from single-line text. And these programs have steadily grown in number and complexity, reflecting an insatiable user demand for a diverse range of artistic styles and content types.

For example, NightCafe Studio users have generated more than 75 million images and DALL-E 2’s 1.5 million users are generating more than 2 million images daily. However, what those numbers don’t reveal is where the industry is headed.

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As an industry insider, I can assure you that it will look a whole lot different than where it is today.

The state of the AI-generated art industry

Before looking ahead, it’s worth looking back on how far the industry has come in just a few short years. When I first entered the industry, there were only four or five AI art generators. This was in 2019 before text-to-image algorithms existed. Back then, the only AI art algorithms were “deep dream,” which made images look like they had dog noses all over them, and “neural style transfer,” which copied the style of one image and transferred it to another.

When text-to-image algorithms came out in early 2021, starting with the announcement of DALL-E followed by some open-source algorithms like VQGAN+CLIP, a few more AI art generators popped up. But by the end of 2021, there were probably only another ten or so apps. Then, In 2022, the space started accelerating and finally exploded when Stability AI released “Stable Diffusion” as open source.

As of now, there are far more AI art generators than even I can keep track of. It’s easy enough now to create a new AI art generator app as a side project, so there are hundreds of those. But we’re also seeing big players like Microsoft and Canva, and slightly smaller ones like Picsart, and other big mobile apps add text-to-image generation into their existing product offerings.

Where is the AI-generated art industry headed?

AIGC, and more specifically, AI image generation as an industry, is still extremely young. The big players are generally less than a year old, and the big names that have adopted image generation into their services have only done so within the last month or so. But today, we’re nearing the point where AI will be good enough to use in video games. Concept artists and traditional artists are already using AI image generation for inspiration, and even incorporating the results into their artworks.

However, in the end, AI-generated art could be a victim of its own success. Progress on image generation technology is moving so quickly that it’s nearing a point where outputs are nearly perfect. And when this happens, which will be soon, the algorithms and models will become commoditized and the winners will be defined less by their AI models and more by the technology and user experiences they build around those models. That means the industry, in its current form, could cease to exist.

AI image generators may simply be a function of larger platforms and applications. There might still be some powerful, specialized AI-powered image and/or video generation apps for pros, or maybe they’ll all end up as features of existing tools like Photoshop and Final Cut. Canva and Jasper are already diving into the space, and I can see a day when Salesforce, Hubspot and even proposal software like PandaDoc could include AI-generated art creation.

And once image generation becomes “solved,” the smart people working on the technology will move on to other modalities like audio, video, writing or other problems.

Hobbyists and creators will remain loyal

Even after AIGC becomes intertwined with systems like CRMs, marketing automation platforms, Web development tools and more, the AI art hobbyists — who just create art with AI for fun or self-therapy — will still exist.

Creators will also continue to monetize their time by utilizing AI-generated art platforms by selling their work as NFT collections, prints for print-on-demand service, stock photography or even on talent platforms like Fiverr and Upwork. Others will continue to use AI image generation to save money on things like book or album covers or in place of stock photos on a blog article.

But, the most overlooked use-case is people simply using AI art generators for fun or to wind down. Many people love creating art with AI. We often get feedback that AI art has scratched a creative itch that people didn’t know they had. We also often hear that people use it religiously as a way to wind down and de-stress or forget about the outside world for a while. For some subset of the population, AI art triggers a dopamine hit and a sense of pride and accomplishment that people simply couldn’t get before.

Final thoughts

For many of us in the industry, the problem we are solving is how to best democratize art and other creative services. And I believe we have made progress. Since discovering AI art, it’s become many people’s number one hobby and they do it every day. Before AI, learning to create beautiful art took thousands of hours of practice.

With AI, the same sense of pride and accomplishment can be gained in just a few minutes. Whether they are new users typing a few words and choosing a preset style, or proficient users adjusting a wide range of settings and trying new algorithms, people are proud of their work. They discuss it online, share prompts and tips, complement each other’s work and share their favorite images.

I don’t think that’s going to change; an entire industry will develop around these “hobbyists.” I’m betting my livelihood on it!

Angus Russell is founder of NightCafe Studio. As this season’s fashion weeks wrap up in London, Milan, New York, and Paris, brands are working to produce and sell the designs they’ve just showcased on runways—and they’re starting next season’s collections. In the future, it’s entirely possible that those designs will blend the prowess of a creative director with the power of generative artificial intelligence (AI), helping to bring clothes and accessories to market faster, selling them more efficiently, and improving the customer experience.

By now, you’ve likely heard of OpenAI’s ChatGPT, the AI chatbot that became an overnight sensation and sparked a digital race to build and release competitors. ChatGPT is only one consumer-friendly example of generative AI, a technology comprising algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos. Rather than simply identifying and classifying information, generative AI creates new information by leveraging foundation models, which are deep learning models that can handle multiple complex tasks at the same time. Examples include GPT-3.5 and DALL-E. (For more on generative AI and machine learning, see “What is generative AI?” and “Generative AI is here: How tools like ChatGPT could change your business.” )

While the fashion industry has experimented with basic AI and other frontier technologies—the metaverse, nonfungible tokens (NFTs), digital IDs, and augmented or virtual reality come to mind—it has so far had little experience with generative AI. True, this nascent technology became broadly available only recently and is still rife with worrisome kinks and bugs, but all indications are that it could improve at lightning speed and become a game changer in many aspects of business. In the next three to five years, generative AI could add $150 billion, conservatively, and up to $275 billion to the apparel, fashion, and luxury sectors’ operating profits, according to McKinsey analysis. From codesigning to speeding content development processes, generative AI creates new space for creativity. It can input all forms of “unstructured” data—raw text, images, and video—and output new forms of media, ranging from fully-written scripts to 3-D designs and realistic virtual models for video campaigns.

These are still early days, but some clear use cases for generative AI in fashion have already emerged. (Many of these use cases also apply to the adjacent beauty and luxury sectors.) Within product innovation, marketing, and sales and customer experience in particular, the technology can have significant outcomes and may be more feasible to implement in the short term compared with other areas in the fashion value chain. In this article, we outline some of the most promising use cases and offer steps executives can take to get started, as well as risks to keep in mind when doing so.

In our view, generative AI is not just automation—it’s about augmentation and acceleration. That means giving fashion professionals and creatives the technological tools to do certain tasks dramatically faster, freeing them up to spend more of their time doing things that only humans can do. It also means creating systems to serve customers better. Here’s where to begin.

Understanding the use cases

Generative AI use cases in fashion Share Foundation models and generative AI can be used across the fashion value chain. Merchandising and product: Convert sketches, mood boards, and descriptions into high-fidelity designs (for example, 3-D models of furniture and jewelry).