AI Agents Ignite the Era of AGI: Insights from 10 Research Reports

Understand AI Agents in one article, a roundup of ten research reports capturing the new trends of AIGC.
Unveiling AI Agents, ten research reports take you behind the scenes of AI Agents.
A must-read for the AGI era, these ten reports will make you an expert in the field of AI Agents.
AI Agents ignite the AGI era, ten reports reveal the present and future of AI agents.
Deep insights into AIGC, the super-intelligent AI Agent is here, and these ten reports are your secret weapon.
AIGC strikes hard, the latest ten research reports tell you how AI Agents are changing the world.

Approximately 7300 words, reading time 12 minutes. Written by Wang Jiwei

On February 16, OpenAI launched the video generation model Sora, instantly breaking into new territories.

With a simple text description, it can generate a 60-second video featuring multiple characters and deeply simulating complex real-world scenarios. Through several demonstration videos, Sora stunned everyone with its outstanding performance.

Media coverage is overwhelming, and various industry leaders are sharing their thoughts, marking another “tech carnival” following last year’s ChatGPT.

For instance, Zhou Hongyi believes that the birth of Sora could shorten the timeline for realizing AGI (Artificial General Intelligence) from ten years to just one or two years.

Some say Sora represents another “ChatGPT moment.”

Or simply the “Sora moment,” as the 60-second video makes previous star AI video applications like Runway (18 seconds), Pika (starting at 3 seconds + adding 4 seconds), and Stable Video Diffusion (4 seconds) look pale in comparison.

With just a core team of 12 people, Sora has emerged less than a year after its establishment, becoming a killer application in AI video. The release of Sora has also caused OpenAI’s valuation to soar by 275% to over $80 billion.

The domestic training industry is also witnessing the explosive popularity of Sora. Sora went online and within just one day, numerous paid knowledge tutorials related to Sora appeared, and the number of communities is rapidly growing.

While Sora is booming, new projects in AI Agents are also continuously emerging.

On its first day of launch, the game “Phantom Beast Palu” sold 2 million copies, and within five days, it surpassed 7 million, generating 1.5 billion yuan. Due to some monster characters being too similar, the Pokémon Company may take legal action against it for infringement.

Not only “Phantom Beast Palu” is eyeing Pokémon, but a recently launched model named PokéLLMon, based on a large model Agent, has also learned to play Pokémon. It achieved a 49% win rate in random ladder matches and a 56% win rate in professional player invitation matches, with its game strategy and decision-making level nearing that of humans.

Agents are already approaching human capability in gaming; how far can they be from replacing humans in work? It is said that standing on the shoulders of LLMs, one saying is that AI will replace humans starting from online shopping/scrolling through short videos.

Recently, researchers from Carnegie Mellon University (CMU) released a benchmark test to evaluate the performance of multimodal Web Agents, allowing large models to surf the web more smoothly than humans.

Paper link: https://arxiv.org/abs/2401.13649

Project link: https://github.com/web-arena-x/visualwebarena

Moreover, AI Agents have also learned to autonomously design new proteins without human assistance. Recent research from the University of Wisconsin-Madison made it to a sub-journal of Nature.

Reference link: https://www.nature.com/articles/s44286-023-00002-4

Speaking of impressive advancements, Microsoft has recently launched a significant innovation.

This time, Microsoft aims to revolutionize traditional user interfaces by introducing an Agent framework called UFO for building user interface (UI) interaction agents, capable of quickly understanding and executing users’ natural language requests. It can autonomously respond to user queries within Windows and seamlessly navigate and operate across single or multiple apps to meet user requests on the Windows operating system.

Project link: https://github.com/microsoft/UFO

Technical report: https://arxiv.org/abs/2402.07939

It can intelligently understand user intentions without human intervention and automatically perform corresponding operations. This means AI Agents will completely enter PC terminals, and Microsoft is serious about promoting the application of Agents.

Sora has shown how large models gradually infiltrate the real world, while AI Agents demonstrate how to further interact with and change the real world. In the future, AI Agents can fully automate the generation of various videos through Sora, and LLM-enabled human-machine collaboration or hyper-automation deserves more attention.

Therefore, there is no need to obsess over how powerful Sora is or how it will disrupt the industry; more new models and technologies will continuously transform the AI video field. Returning to the essence of organizational management and business processes, understanding how AGI technologies and models represented by AI Agents will change the real world in the future holds more industry value.

Research reports are an important way to understand the latest industry dynamics and trends. To help everyone comprehensively recognize AI Agents, Wang Jiwei’s channel has selected ten profound and broad research reports to lead everyone to thoroughly understand the industry trends and future development of AI Agents.

Note: All resources mentioned in this article can be obtained by replying with keywords at the end.

Report One: Accenture “Technology Outlook 2024”

Main Content:With the development of technology, the application of artificial intelligence in various fields is becoming increasingly widespread. In human evolution, the use of tools is considered one of the hallmarks of human evolution.

In the digital age, AI tools are gradually changing the way people process photos and generate content. AI technology is continuously advancing, and more innovative applications will emerge in the future, changing our lifestyles and work methods.

This report mainly discusses the integration of the digital world and the physical world, and how this integration drives further humanization of technology. The report proposes four key trends: AI partners, agents, spatial computing, and new developments in social media. These trends point to a common goal of creating a technology environment that better aligns with human needs and values.

The report extensively introduces the current status and future development trends of AI Agents in the section “Agents: The AI-Connected Ecosystem”.

The report explores the development trends of AI Agents and the significant opportunities they may bring in the next decade, emphasizing the rise of the AI Agent ecosystem. It points out that with technological advancements, artificial intelligence is gradually breaking free from its auxiliary limitations, forming a large network through interactions with other fields. This transformation will prompt businesses to rethink their intelligence and automation strategies in a completely new way.

The report also reveals the importance of the AI Agent ecosystem, delving into its composition and development trends, emphasizing its significance in future business opportunities.

The report states that real-time data and service access are one of the core elements for the success of AI Agents. Through examples like OpenAI’s ChatGPT plugins, it demonstrates how to interact with other systems and services to enhance navigation capabilities in the digital world.

This report also provides an important survey data point: 96% of corporate executives believe that the application of the AI Agent ecosystem will bring significant opportunities to their organizations within the next three years.

The report holds high value for readers interested in AI Agent research and cognition. It not only provides an in-depth analysis of the development trends of the AI Agent ecosystem but also reveals the key and breakthrough elements of AI Agents from the perspectives of real-time data and service access, as well as reasoning capabilities.

Friends who are focused on the development and application of AI Agent technology should read this report to better grasp the future development trends and application prospects of AI Agents.

The summary of the “Technology Outlook 2024” report and the AI Agent section is provided in the resource package.

Report reading link: https://www.accenture.com/cn-zh/insights/technology/technology-trends-2024

Report Two: IDC & DingTalk “2024 AIGC Application Layer Top Ten Trends White Paper”

Main Content:AIGC technological advancements drive industrial transformation, and application layer innovation becomes the development direction. Large models exhibit powerful general intelligence, demonstrating a “power multiplication” effect across different fields. AIGC is integrated into enterprise operations, creating new scenarios and changing industry operations and business models.

IDC’s research shows that enterprises across various industries are beginning to experiment with AIGC applications. In the future, innovative enterprises will leverage AIGC application layer innovations to achieve business growth, while ecosystem development enterprises need to focus on application innovation and the construction of a closed-loop of commercial value.

This report provides an in-depth analysis and prediction of the advancements in AIGC (Artificial Intelligence Generated Content) technology and its driving role in industrial transformation.

The report discusses the top ten trends in the AIGC application layer, including the application layer innovation becoming a definite direction for industrial development, the shift of large models from being merely trendy to genuinely useful, the emergence of exclusive and self-built models in medium and large enterprises, the application of multimodal large models, and AI Agents becoming the mainstream form for large models to land in business scenarios.

Among them, AI Agents, regarded as the mainstream form for large models to land in business scenarios, are seen as key to achieving human-machine collaboration and enhancing enterprise operational effectiveness. AI Agents, by integrating perception, analysis, decision-making, and execution capabilities, can break through the limitations of single voice or text modes, achieving multidimensional comprehensive analysis and more precise recognition and insights into user intentions.

Additionally, AI Agents can provide personalized services and experiences based on users’ work habits and needs, greatly enhancing user satisfaction.

The report holds significant value for research and understanding of AI Agents. It not only provides an in-depth analysis of the working principles and application scenarios of AI Agents but also explores their potential and advantages in enhancing enterprise operational effectiveness and achieving human-machine collaboration from multiple perspectives.

Moreover, the report illustrates the effects and outcomes of AI Agents in practical applications through various real cases and data, offering readers a more intuitive and vivid understanding.

Whether you are a researcher, developer in related fields, or an ordinary reader interested in new technologies, you can gain profound insights and benefits from it.

Report Three: Tencent Research Institute “2024 Digital Technology Frontier Application Trends”

Main Content:Breakthroughs and innovations across multiple technology fields are reshaping our future. From server clusters to quantum computing, from weather models to high-performance computers, tech giants and research institutions are working together to drive technological innovation. These innovations not only accelerate data processing and computational capabilities but also provide more precise and efficient solutions for various industries. In the future, we expect to witness more breakthrough technologies bringing a better life for humanity.

This report delves into the technology trends for the next 2-3 years, focusing on the integration of high-performance computing, quantum computing, cloud computing, and edge computing, as well as the new computing paradigms they will spawn. It discusses the development of general artificial intelligence, especially the transition of large models to multimodal forms, and the trend of AI agents potentially becoming the next-generation platform.

The report also touches on the convergence of AI and life sciences, as well as frontier technologies such as 3D, brain-computer interfaces, and satellite phones.

The report emphasizes that with the upgrade of high-performance computing clusters and the acceleration of the four-computing integration, AI applications will experience explosive growth. Meanwhile, digital interaction engines will give birth to super digital scenarios, and brain-computer interfaces are expected to drive an interactive revolution. In terms of future connectivity, direct satellite-ground communication will accelerate airborne travel, and multi-energy flow real-time collaboration will reshape virtual power plants.

The report believes that all sectors of the industry need to work together, guided by the goal of creating the future, to promote technological development while addressing risks and challenges to ensure the sustainable development of AI technology.

The report identifies AI Agents as a trend point, stating that Agent platforms will increasingly intelligently and massively create various styles of digital assets, allowing these digital assets to interact with real people in a manner closer to the real world. To make Agent platforms a popular tool for 3D content, it still needs to accumulate resources and build capabilities from technical, ecological, and business model dimensions.

By reading this report, you can understand the latest progress and future trends of AI Agents in conjunction with other technological trends, providing valuable references for research and work.

Wang Jiwei’s channel suggests that friends interested in AI Agent research and applications should take a look.

Report Four: Huibo Smart Investment Research “AI Agent Industry Report: Framework Deconstruction, Application Directions, Application Fields, and Related Companies Deep Dive”

Main Content:AI Agent technology is an important application that improves efficiency and productivity through collaboration with humans. Its development goal is to achieve AGI (Artificial General Intelligence), with application directions including automated autonomous agents and anthropomorphic intelligent agent simulations. Autonomous agents will trigger a new round of productivity revolution, while agent simulations will serve as new spiritual consumer goods, with AI Agents having broad application prospects in multiple fields.

This report comprehensively introduces AI Agent-related concepts, technical architecture, application directions, etc., providing a systematic reference for understanding AI Agents.

The report defines AI Agents, compares them with other artificial intelligence interaction modes, and clarifies that AI Agents can autonomously decide and execute based on given goals, representing a new type of intelligent entity. It then provides a detailed analysis of the four main components of AI Agents: large models, planning, memory, and tool usage, offering readers a systematic understanding framework.

The report categorizes AI Agents into two directions: autonomous intelligent agents for automation and anthropomorphic intelligent agent simulations. It also conducts an in-depth analysis of current mainstream AI Agent architectures such as MetaGPT and ChatDev, elucidating their advantages and disadvantages. This provides a reference for understanding the application patterns of AI Agents in different scenarios.

The report comprehensively organizes the application instances of AI Agents in various fields such as gaming, software development, document writing, and business collaboration, as well as the technical layouts of related companies, providing important clues for readers to understand the potential application areas and commercial value of AI Agents.

This report provides a comprehensive and systematic analysis of AI Agents from theoretical frameworks to technical details, from conceptual explanations to case sharing, offering readers a valuable learning and reference material that can significantly aid in understanding the research directions and application potential of AI Agents.

Report Five: CICC “Deepening Multimodal Applications of Large Models, AI Agents Accelerate Application Popularization”

Main Content:Multimodal development deepens, text-to-video capabilities upgrade, AI application development thresholds lower, and AI Agents enhance application popularization efficiency. AI Agents may help further intelligentize AI applications, with OpenAI GPTs showcasing the initial forms of AI Agents, while domestic iFlytek constructs a Spark plugin ecosystem, and Kunlun releases the Tiangong SkyAgent.

This report deeply discusses the development of AI Agents and their applications in the AIGC industry. It first outlines the current development status of the AIGC industry, particularly the deepening development of large multimodal models and the rapid enhancement of text-to-video capabilities. These technological advancements provide broader space and possibilities for the construction of AI Agents.

The report views the construction capability of AI Agents as a crucial factor driving the further explosion of AI applications. As the capabilities of large models improve and the development tools for large models lower their thresholds, the construction of AI Agents is expected to rapidly penetrate and meet the demands of various fields. This is significant for the research and development of AI Agents, providing new perspectives and directions for thought.

The report also emphasizes the application value of AI Agents in the field of intelligent creation. Through the text-to-video capabilities of large models, AI Agents can significantly lower the creation threshold, opening up commercial spaces for C-end creation and B-end video applications in gaming and film production. This provides broader markets and prospects for the research and application of AI Agents.

The report holds certain value for the research and understanding of AI Agents. It not only provides the development status and future trends of the AIGC industry but also delves into the application prospects and possibilities of AI Agents in the field.

For readers interested in the development and application of AI technology, this is a worthwhile document to read. By engaging with this report, everyone can gain deeper insights into the research directions and application fields of AI Agents, providing beneficial references and inspirations for future research and practices.

Report Six: Dongfang Securities “AI Agents, Autonomous Intelligent Entities Based on Large Models, Progressing on the Path to AGI”

Main Content:AI Agents, as an important direction for exploring general artificial intelligence (AGI), possess core capabilities such as large model planning, memory, and tools. Significant progress has been made in their research and application, including AutoGPT, applications in gaming, and personal AI assistants. Agents are expected to become mainstream products in the AI field, realizing applications across multiple domains. The development of AI Agents will profoundly influence the development and progress of human society.

This report explores the current research status and development trends of AI Agents, particularly the progress made in the exploration of AGI. The report first defines the concept of AI Agents, emphasizing their ability to think independently and complete tasks, showcasing the potential and value of AI Agents in practical applications.

The report analyzes the core technologies of AI Agents in detail, including the application of vector databases. Vector databases solve the storage, retrieval, and matching issues of vast knowledge held by large models by converting data into vectors, providing AI Agents with “long-term memory” capabilities. The introduction of this technology not only enhances the efficiency of data storage and retrieval but also reduces storage and computation costs, making widespread application of AI Agents feasible.

The report mentions the reflective and introspective capabilities of AI Agents, which are key to their continuous optimization and performance enhancement. By reflecting on past behaviors, AI Agents can learn from mistakes, correct decisions, and improve task planning abilities, thus continually advancing on the path to AGI.

According to Wang Jiwei’s channel, this report offers a comprehensive understanding of AI Agents, revealing their important position and development prospects in the field of artificial intelligence.

It not only provides rich technical details but also demonstrates the potential and value of AI Agents in practical applications, helping everyone better understand and grasp the development trends of artificial intelligence. For readers interested in the field of artificial intelligence, especially in AI Agent research, this report holds high reading value.

Report Seven: Huajin Securities “Global Generative AI Application Panorama: Generative AI Applications Entering an Explosive Era”

Main Content:This report introduces the background, driving factors, segmentation of generative AI applications entering an explosive era, investment strategies, and risk warnings. The generative AI application is entering an explosive era, primarily driven by the resonance of large models, computing power, and ecosystems. The segmented tracks of generative AI applications include AI + office, AI + finance, AI + healthcare, AI + education, etc.

This 95-page report primarily discusses the background of generative AI applications entering an explosive era, the segmentation of tracks, investment strategies, and risk warnings. The report points out that generative AI applications are entering an explosive era, primarily driven by the resonance of large models, computing power, and ecosystems.

The report provides a detailed introduction to the concept, components, implementation principles, and workflow of AI Agents, indicating that AI Agents still face bottlenecks in perception and decision-making capabilities, with future breakthroughs key in underlying technologies such as computer vision. The report offers rich information and in-depth analysis regarding the value of AI Agent research and understanding.

The report’s detailed interpretations of the concept, components, implementation principles, and workflow of AI Agents provide readers with a comprehensive understanding. It points out the bottlenecks AI Agents face in perception and decision-making capabilities, providing directions for research and improvement, and introduces the application scenarios and potential markets for AI Agents.

This report provides comprehensive industry analysis and data support, helping readers gain insights into the development trends and prospects of generative AI applications. It also discusses application cases and investment financing situations of AI in different fields, providing beneficial references for the research and development of AI Agents.

This report is suitable for AI technology enthusiasts or researchers, enterprise decision-makers, etc., to better understand the development dynamics and market trends of AI applications, providing beneficial references for future research and business decisions.

Report Eight: Guosheng Securities “2023 In-Car Holographic Digital Humans: AI Agent New Scenarios, Holographic Projection New Directions”

Main Content:This report explores the applications and investment value of in-car holographic digital humans in new scenarios of AI Agents. With the maturity of HUD hardware and edge computing hardware, digital humans have gained “flesh and blood.” The development of autonomous driving has enhanced the importance of human-vehicle interaction.

AI Agents, as enablers of the next era of human-vehicle interaction, have broad market prospects. However, there are risks such as the development of edge computing power, penetration rates of smart cockpits, and market competition. Investors should consider these carefully.

This report discusses the applications and future potential of AI Agents in the field of in-car digital humans, revealing the core elements of cockpit digital humans and the core capabilities of AI Agents. It explains how technologies like generative AI, holographic HUD, and high-performance intelligent modules catalyze the development of cockpit digital humans, indicating that these technologies give digital humans “soul” and “flesh.”

The report also deeply explores the growing personalization demands of users in the era of automotive intelligence and how AI Agents can meet these needs by achieving innovative functions like three-screen interaction. It also discusses the application of vertical large models in the automotive field and the proactive layouts of major automotive companies in the field of in-car AI, further proving the importance and prospects of AI Agents in the automotive industry.

The report analyzes the potential of the in-car digital human market from an investment perspective, pointing out that the subscription-based profit model of intelligent assistants like NIO’s NOMI robot opens new ideas for AI applications. The report recommends a series of related investment targets, including companies in AI application, edge computing chips, and optical modules, providing investors with clear investment directions.

This report holds significant value for the research and understanding of AI Agents in the field of in-car digital humans, providing not only investment recommendations for investors but also deep insights into future technology trends for automotive industry personnel.

Reading this report can help better grasp the application prospects and market opportunities of AI Agents in the automotive industry.

Report Nine: Deloitte “Global Enterprise Generative AI Application Status Survey Report”

Main Content:Currently, the focus of generative AI is on improving efficiency, productivity, and reducing costs, rather than innovation and growth. Most organizations still primarily rely on off-the-shelf generative AI solutions. In terms of talent, governance, and risk, the preparedness for generative AI is insufficient. Leaders foresee significant social impacts and seek more global regulation and cooperation.

This report, published by the Deloitte AI Institute, conducts an in-depth survey and analysis of the application and prospects of generative artificial intelligence (Generative AI) in enterprises. The report points out that despite the high expectations and excitement surrounding generative AI, current applications are still mainly focused on efficiency, productivity, and cost reduction rather than innovation and growth.

The key findings of the report indicate that many leaders feel confident about their expertise in generative AI, but those organizations reporting high levels of expertise tend to be more positive about it, while also facing greater pressures and threats. Most enterprises still primarily rely on off-the-shelf generative AI solutions, and in critical areas such as talent, governance, and risk management, the preparedness for generative AI is still lacking.

The report provides insights into the current application status of generative AI in enterprises, aiding in understanding the challenges and opportunities of this technology in the real world. It reveals leaders’ views and expectations regarding generative AI, which has certain guiding significance for the design and optimization of AI Agents.

Whether you are a professional in the AI field or someone interested in enterprise strategy and technology development, this report will provide you with important insights and perspectives on generative AI.

Wang Jiwei’s channel offers both English and machine translation versions of this report.

Report Ten: Zhiding Think Tank “2023 Global Generative AI Industry Research Report”

Main Content:This report mainly introduces the overview of the generative AI industry, infrastructure, algorithm models, scenario applications, and opportunities and challenges.

The generative AI industry map includes multiple fields such as hardware, software, and services, and business models include cloud services, API calls, and customized development. Generative AI scenario applications include text generation, image generation, voice synthesis, digital humans, etc., widely applied in media, advertising, entertainment, education, and other fields. The opportunities and challenges of generative AI include issues related to technology, law, and ethics.

This report outlines the evolution of human language and the rise of generative artificial intelligence (AI), detailing the three major eras of language development and milestone events in the field of content generation by generative AI. The report traces the trajectory of language evolution from the emergence of primitive human language in the language 1.0 era, through machine dissemination in the language 2.0 era, to the creation of language by generative AI in the language 3.0 era.

In the generative AI section, the report emphasizes its concept, stages of content generation, and significant progress in recent years. As a new production method, generative AI utilizes artificial intelligence technology to automatically generate cross-modal information such as text, audio, images, and videos, bringing revolutionary changes to the content creation field.

Since OpenAI released ChatGPT in 2022, a global wave of generative AI has emerged, with major tech companies launching related models, products, and services.

This report holds extremely high value for the research and understanding of AI Agents. It provides a macro perspective that allows us to comprehensively understand the evolution of language and the background of the rise of generative AI. By citing numerous examples and data, it vividly showcases the wide applications and enormous potential of generative AI in the field of content generation.

Additionally, the report focuses on the growing trend of global data scale, indicating the broad market and development space for generative AI in the future.

This report is of high value for understanding the generative AI landscape and enhancing the research and cognition of AI Agents, helping readers grasp the development overview, technical principles, application scenarios, and challenges of the generative AI industry.

The end of the article.

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