The latest release by QuestMobile, the '2024 AI Agent Application Insights Semi-Annual Report', shows that the monthly active users of artificial intelligence (AI) applications have exceeded 66 million, marking the rapid development and popularization of AI technology at the application level. The report highlights that AI applications have formed eight major categories, including emotional companionship, office efficiency, education and learning, lifestyle assistance, entertainment and leisure, copywriting, and industry consulting, with commercialization paths now opened.

Small businesses play an indispensable role in the U.S. economy, employing nearly half of the workforce and contributing 44% of GDP. However, when owners of these economic pillars consider exiting, they often face a dilemma of limited choices. OffDeal, a startup nurtured by the Y Combinator Winter 2024 accelerator, is dedicated to solving this issue through innovative AI technology. OffDeal is co-founded by former investment banker Ori Eldarov and former Meta engineer Alston Lin.

AI startup Ema raised $36 million in Series A funding, bringing total funding to $61 million, led by Accel and Section32. Ema aims to automate tedious tasks for businesses through no-code AI agents capable of handling various functions like customer support, employee experience, sales, marketing, and compliance. Their AI agents are deployed across fintech, legal, healthcare, e-commerce, and insurance sectors, providing advanced experiences with l....

Researchers used reinforcement learning to train AI agents to autonomously create genuine collage artworks. The reinforcement learning model learns the process of collage creation by interacting with the canvas. User studies and CLIP-based assessments have demonstrated its excellent performance in AI-generated art.

Google DeepMind successfully demonstrates that AI agents can learn socially through imitation of human and animal behaviors, similar to human skill acquisition processes. In the virtual environment GoalCycle3D, AI agents identified and mimicked expert actions within minutes through reinforcement learning, retaining knowledge. The research explores the role of algorithmic cultural evolution in AI development, potentially promoting the intergenerational transfer of skills within communities. The findings are published in 'Nature Communications', marking a step forward in the development of artificial general intelligence.

Trend of Large Model Applications: The article mentions that large models have evolved from model development to innovative applications. Key Technologies of AI Agents: The article analyzes three core technologies of AI Agents: LLM, planning, and memory. Challenges in AI Agent Applications: The article points out that issues such as AI hallucinations are difficult problems that need to be addressed in the practical application of AI Agents.

🧠 Research Background: The development roadmap of AGI is divided into five levels. LLMs have reached the second level, internet scale, but require perception and action space to reach the third and fourth levels. 🌟 Agent Composition: A combination of control end (LLMs), perception end, and action end for information processing, decision making, and environmental interaction. 📈 Application Scenarios: Three levels of single-agent tasks: daily task-oriented, innovation-driven, and lifecycle-oriented; multi-agent cooperative and adversarial interactions; human-machine interaction guidance - execution and partnership modes. 🚀 Agent Society: Individual behavior + collective behavior as three key components of personality.

["AI agents will change the way humans work, enabling automated collaboration.", "AI agents will reshape the way information is accessed, produced, and applied on the internet.", "AI agents will promote the construction of the metaverse and reshape the development landscape of Web3."]

Google DeepMind plans to research autonomous language agents to enhance the application of large language models. Through techniques such as instant engineering, self-prompting, and memory, it aims to autonomously achieve given goals. Concerns about alignment stress that more safety research is needed before developing autonomous AI agents. DeepMind is constructing Google's next generation of multimodal model series, Gemini. Google will more independently integrate artificial intelligence technology into its suite of applications.

Domestic AI Town AgentSims provides customizable sandbox evaluation infrastructure, allowing users to create unlimited AI agents and assess their capabilities through task settings. AgentSims achieves highly customizable AI character behavior decision-making through planning, memory, and tool usage systems. Compared to Stanford's AI Town, AgentSims offers a more flexible interactive interface, making research more convenient.

The first systematic benchmark test for AI agents has been released, showcasing comprehensive evaluation results for 25 different language models: GPT-4 stands out uniquely. Top commercial language models perform excellently in complex environments, showing significant advantages over open-source models. The research team suggests further improving the learning capabilities of open-source models.