Thanks to its natural dialogue and versatile functionality, OpenAI's ChatGPT has become a highly sought-after AI product. It performs tasks ranging from discussing geography and astronomy to writing papers, coding, and copywriting translation, transforming the world's perception of AI capabilities.

Simultaneously, Stability AI, creators of open-source AI painting Stable Diffusion, have launched a new open-source model called DeepFloyd IF. This cutting-edge model generates lifelike images while addressing previous issues in AI painting techniques such as spatial relationship understanding and precise text rendering. With the release of DeepFloyd IF, generative AI Vincent graph meets the basic requirements for commercial use.

With its high user registration volume, widespread usage, and the groundbreaking innovation brought about by DeepFloyd IF, it's clear that generative AI is continuously refining and upgrading its commercialization capabilities.

AIGC Accelerates, Industry Concerned about Security Issues

There's no denying that the rapid development of generative AI is having a significant impact on the social and economic landscape. However, this progress has also raised concerns within the industry. According to a study conducted by Goldman Sachs, recent breakthroughs in generative artificial intelligence systems - such as ChatGPT - are expected to lead to the displacement of 300 million jobs by generative AI.

While unemployment is a concern, AIGC's uncontrollability poses the greatest threat. OpenAI CEO Sam Altman publicly acknowledged AI's inexplicable reasoning capabilities, raising concerns about unregulated AI growth risks. These were further solidified by Google AI technical leader Geoffrey Hinton's resignation citing his desire to freely address AI security issues.

As AI benefits humans, social implications arise from its rapid development. Stunting AIGC industry operations or allowing unchecked evolution hinder AI industry growth and society's betterment. Inclusivity fosters harmonious human-AI coexistence. A shared, orderly, and reasonable security supervision mechanism is the new method for the current objective environment.

As the industry increasingly prioritizes safety supervision, numerous companies operating in the field of artificial intelligence are devoting resources to researching and testing product safety. JUNLALA - an AI firm dedicated to enhancing user happiness through its services - has also embarked upon a new direction focused on strengthening its safe and credible image. By creating minimalist products that delineate safety moats with vertical segments, JUNLALA is taking proactive measures to ensure that its users can access AI services that are both effective and secure.

Product Development Strategy: JUNLALA Focusing on Vertical Approach to Achieve Commercialization and Security

With 7 years of experience in the field of artificial intelligence, JUNLALA - founded in 2016 - is a professional team dedicated to research and development. The company's primary focus is on ensuring the safety and reliability of its products, while iteratively optimizing high-quality offerings that better meet the needs of users and align with social expectations.

JUNLALA's technical team has achieved numerous milestones and outstanding achievements since its inception. In 2018, the company's first natural language processing algorithm was released, marking a significant victory in the field of artificial intelligence. Since then, JUNLALA has continued to optimize the natural language algorithm, culminating in the release of an upgraded version in the latter half of 2019. This new and improved algorithm boasts even stronger semantic understanding capabilities, as well as simple question-and-answer and information query functions. With this upgrade, JUNLALA has firmly established itself as an industry leader in natural language understanding and interaction.

Building on past achievements, JUNLALA researched chatbot algorithms and made a significant AI breakthrough in early 2021. By later that year, JUNLALA's chatbot engaged people in long, natural, and coherent conversations. This front-runner status established JUNLALA as the most advanced enterprise for artificial intelligence dialogue interaction.

In 2022, JUNLALA was concentrated on computer graphics and generative models, aiming to create the first-ever image-based generative adversarial network algorithm (GAN). With the collective efforts of the R&D team, the upgraded version of the GAN algorithm was launched successfully, empowering JUNLALA's products to generate more realistic and precise images. This breakthrough places JUNLALA at the forefront of artificial intelligence image generation, setting a new benchmark for the industry.

By conducting extensive research on natural language processing, dialogue systems, and computer vision, JUNLALA's products have attained a dominant position in the core field of artificial intelligence. As for the development iterations of these products, the JUNLALA R&D team upholds the principles of safety and credibility.

Taking the big language model as an example, the process of JUNLALA's product development - from introducing natural language algorithms to optimizing and upgrading, to the final launch - has always been centered around ease-of-use, safety, and reliability. By leveraging the OpenAI large language model base, JUNLALA collects and fine-tunes data across multiple specialized fields, creating AI experts that possess professional knowledge in various domains. In vertical fields, these AI experts possess a deep reserve of knowledge and can assist users in quickly obtaining information. With a focus on specialized research, JUNLALA's AI experts can rapidly and accurately screen information, providing exclusive services to users. Whether it's acquiring professional fitness knowledge or receiving cutting-edge information in the art and design sphere, users can engage in dialogues with AI experts at any time.

JUNLALA adheres to strict ethical standards, ensuring that the dialogues with its AI experts are strictly limited to their respective professional fields. Additionally, JUNLALA's products are equipped with advanced mechanisms to detect threatening speech and unfriendly language, proactively controlling morality and ethics. These measures effectively mitigate potential security risks, making JUNLALA products a safe and reliable choice for users.

During the early stages of research and development, JUNLALA placed a greater emphasis on safety and ethics, resulting in products that naturally possess a higher degree of credibility. Unlike other products that rely on rear-mounted safety supervision, JUNLALA's front-end concept is more humane, with a focus on using AI to serve humanity instead of subverting it. This fundamental principle has been at the core of JUNLALA's product development philosophy.

Safety is the top priority in AIGC's development. Clarifying AI's relationship with social development and making it an assistant to human progress ensures its robust growth. Focused on safety and reliability, JUNLALA created trustworthy products with deepening functions based on AI essence. The team's strict commitment to research and development upholds high moral and ethical standards in JUNLALA's products. With forward-looking technology and high ethical standards, JUNLALA accompanies the industry's healthy growth.