At the opening ceremony of the 2024 Yunqi Conference, Giant Network made its debut and showcased its latest achievements in the "Game + AI" field. The company launched two self-developed large model applications—GiantGPT and BaiLing-TTS—while also demonstrating new technologies such as AI Digital Humans and the AI painting platform Giant Mimicry.

Bland AI, a startup founded in 2023, is revolutionizing business phone support through AI technology and recently completed a Series A funding round of $16 million, bringing its total funding to $22 million. Supporters include Scale Venture Partners, Y Combinator, Max Levchin, Piotr Dąbkowski, and Jeff Lawson. Its mission is to enhance the efficiency of business phone communication, with AI agents capable of providing 24/7 service.

MindSearch is an open-source AI search engine framework that has drawn attention for its powerful performance and capabilities comparable to Perplexity.ai Pro. It utilizes large language models as its core engine to swiftly browse a vast number of web pages, providing in-depth and broad foundational answers to users' questions. MindSearch is designed with transparency in mind, allowing users to verify all information and ensure the credibility of responses. Its multi-agent LLM framework can achieve over 300 web page visits within a minute, enabling seamless integration.

The futuristic scenario depicted in the movie 'Her' is becoming a reality, as OpenAI's GPT-4o model has launched a gradual testing phase for its voice feature, providing users with a more natural and real-time conversational experience. This feature allows users to interrupt freely, can sense and respond to user emotions, and includes 'face-to-face' communication via video and screen-sharing capabilities. GPT-4o's output capability has significantly increased, allowing for an output range of 4000 to 64000 tokens in one go, equivalent to about 200 pages of a novel. During testing, users can use it to tell jokes.

Recently, MimicMotion has launched a new technology called "High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance," which has garnered widespread attention. This technology was developed by Zhang Yuan, Gu Jiaxi, Wang Liping, Wang Han, Cheng Junqi, Zhu Yu Feng, and Zhou Fangyuan, among others. It is known that this technology is implemented through Jupyter notebooks, and the relevant code can be found on GitHub.MimicMotion's innovative technology can generate high-quality

Google is exploring the possibility of giving personality to its Gemini AI chatbot, which could mark a significant breakthrough in the AI field. Internal discussions at Google are underway to launch a personalized chatbot as early as later this year. This initiative aims to make AI functions more relatable and accessible. Reportedly, these personalized characters are likely to come from well-known creators on the YouTube platform, although specific participants have not yet been confirmed.

Recently, a new AI virtual friend chat product named 'Chatwiz' has been launched, which is capable of generating photos and providing conversation experiences very close to real interactions. It has been verified that the business entity behind this product is Beijing Zhending Technology Co., Ltd. (Tomato Novel), and the actual controller is ByteDance.

The aMUSEd model launched by Hugging Face can generate images in seconds, faster than competitors like Stable Diffusion. aMUSEd utilizes a lightweight text-to-image model based on Google's MUSE model. It adopts a Masked Image Model (MIM) architecture, reducing inference steps and enhancing generation speed and interpretability. The model is available in a demo on Hugging Face.

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.

In the video, Guo Degang performs crosstalk in English, which is actually a reinterpretation involving AI technology from a Chinese company called Shiyun Technology. Their product HeyGen is an 'artifact' for AI voice translation and mimicry. HeyGen's traffic has surged against the trend, with users queuing for 7,000 videos, including a Chinese-speaking video featuring Taylor Swift. HeyGen has successfully completed two rounds of financing worth millions of dollars, becoming the latest hit AI application in the domestic market. HeyGen has launched a paid version, but it's yet to be seen if it can effectively address the pain points in video production.

Research shows that the MimicGen system can generate large-scale training data for robots. By leveraging digital twin technology, it replicates human operation data in a simulated environment. Using fewer than 200 human demonstrations, it autonomously generates 50,000 training data points. Synthetic data and simulation are crucial for AI development, providing an infinite source of training data. MimicGen is suitable for long-sequence tasks and high-precision tasks, such as grasping and assembling.

YouTube plans to launch an AI tool that allows users to record audio mimicking their favorite artists' voices. YouTube has contacted music companies to obtain song copyrights for training the tool. This raises questions about content restrictions, monetization, and artists' rights.

US startup Delphi has launched an AI digital clone service that creates AI chatbots mimicking user personalities by uploading communication records. These bots can be deployed on websites, Slack, and even connect to phone numbers. Delphi can also clone famous personalities, raising ethical and legal concerns. The service has attracted over 100 participants for testing, with the business model still being refined.

Scientists have developed a tool called Glaze to protect artists' works from being used to train AI systems. Glaze adds an invisible layer to digital artworks, maintaining consistency for the human eye while appearing different to AI systems. This tool provides artists with a way to protect their work's style, making it less likely to be mimicked by AI systems.

The MyoSuite 2.0 series launched by Meta AI collaborates with multiple universities on a new project that mimics infant movement through machine learning. This project demonstrates human-level dexterity and agility, involving complex muscle control challenges. Replicating movement strategies in MyoSuite is more difficult than moving robots, but roboticists can learn from human control techniques.