AI Agent Shocker

● AI Revolution You Wont Believe

Latest AI Innovations and Future Industry Development – Global Economy, AI Innovation, Economic Outlook, Technological Advancement, Future Industries

1. Emergence of OpenAI ES and Chinese AI Agents • Changing Roles of AI Agents

OpenAI ES is reportedly launching an AI agent boasting doctoral-level performance worth 30 million KRW per month.
It’s noteworthy that research-level AI, previously requiring an annual salary of 300 million KRW or more, can independently set research directions, organize data, write papers, and even handle submissions to academic journals.
This is expected to drive interest among companies in reducing labor costs and improving cost efficiency.

Concurrently, a Chinese startup unveiled the Manos AI agent, demonstrating its capabilities through various demos, including resume screening, website operation, and stock analysis.
The key point is that AI agents are evolving to perform comprehensive tasks like employees.

2. Key Use Cases and Demo Deployments of AI Agents

Detailed examples include:
∙ Automated data organization through resume and document analysis
∙ Website interaction formation and data-driven stock analysis
∙ Provision of customized services such as travel itineraries, game development, and discussion simulator creation
All tasks are processed quickly and accurately, drawing attention with various demos that real users can experience.

As AI is applied in various fields, companies and individual users can significantly reduce time and costs by leveraging AI’s automation capabilities.

3. Introduction of AI and Super-Gap Technologies by China, Alibaba, and Tencent

China is aiming to preempt the market by already releasing an open-source AI agent version.
Alibaba launched the DeepSeek model, boasting performance surpassing OpenAI’s inference models.
Tencent is driving innovation in content creation by introducing the open-source video generation AI ‘Training Video’ and image-to-video conversion technology.

Additionally, the open-source release of AI technology in various fields, such as voice cloning TTS and composing AI ‘Nota Gen,’ enabling commercial use, is noteworthy.

4. Super-Gap Technologies – Quantum Computers and AI Infrastructure Innovation

China’s publicly released Suseong C3 quantum computer reportedly outperforms Google by 1 million times and is 15 times faster than the best supercomputer.
Concurrently, plans for building the largest AI infrastructure in Korea by investing 60,000 SKT GPUs and the government’s announcement of expanding investments by 2.5 trillion KRW were also revealed.
We can see the technological development of future industries overall being driven by AI and super-gap computing.

5. AI Competition Among Global Big Tech – MS, Google, Apple Battle

MS is developing its own AI inference model ‘MI’ to check OpenAI and is aiming to build an independent AI ecosystem.
Google is introducing an AI search mode and data analysis agent, providing more efficient and intuitive services than existing data analysis tools like Pandas and Snorkel.
Furthermore, it is strengthening AI research and services with innovations such as the release of Gemini-based text embedding models.
Apple, after postponing the release schedule of the complete AI Siri, announced plans to expand AI application within apps and devices by 2027, participating in the global economic outlook and technological development competition.

6. AI Robots, Automation Systems, and Blockchain/Bitcoin Investment Automation

Changes in future industries are also evident in AI robot collaboration and automation systems.
∙ Chinese robotics companies are showcasing various robots (Kung Fu Robot, Adam Robot, etc.) to realize disaster relief and manufacturing automation.
∙ Collaborative robots, drones, OCR APIs, and intelligence robots have also been announced in Japan and Korea.

Additionally, with the preparation of Bitcoin investment automation solutions, cases of incorporating AI into asset management and futures investment along with coding courses are gradually increasing.

7. U.S./White House AI Policy and Future Outlook

With the submission of AI action plan recommendations to the OSTP, a U.S. government agency, AI research institutions like Anthropic are forecasting the emergence of powerful AI systems in late 2026 or early 2027.
These recommendations emphasize the need for developing AI that matches the intelligence of Nobel laureates in biology, computer science, mathematics, and engineering, presenting the direction of the global economy and future industry development.

Summary

AI innovation is accelerating in line with changes in the global economy and future industries.
Focusing on the examples of OpenAI ES and Chinese AI agents, AI utilization cases in various fields (resume analysis, website automation, stock analysis, travel and game planning, etc.) are being specifically disclosed.
Big tech companies such as Alibaba, Tencent, MS, and Google are engaging in global competition by showcasing super-gap technologies such as AI, quantum computing, and data analysis.
Furthermore, AI robots, automation systems, voice cloning, and composing AI, among other diverse applications, are having a significant impact on future industry development and fields such as blockchain and Bitcoin investment automation.
Through the direction and recommendations of U.S. AI policy, it is anticipated that future AI systems will evolve into forms with the intelligence of Nobel laureates.

*Source : [조코딩 JoCoding] AI 뉴스 – 충격적인 AI 에이전트 마누스, 오픈AI 월 3천만원 AI, 딥시크 넘은 QwQ-32B, 뇌세포 바이오 컴퓨터 등

● 자율 에이전트 Manus 로컬 사용

Chosen Translation:

Unleash Manus Power Locally Now!

Manus General-Purpose Autonomous AI Agent: Summary of Latest Technology Trends and Practical Application Points

[1] Manus Founder’s Presentation and the Concept of Autonomous AI Agents

Centered around the first general-purpose autonomous AI agent, initially introduced by the Manus founder in a video, several important details were included.
It emphasizes the innovative function of AI, which not only generates ideas but also executes them directly.
The core of this service is its ability to autonomously handle all stages from conceptualization to execution, unlike existing AI.

[2] Manus’s Actual Task Execution as Seen in the Demo Video

The video demonstrates the process of uploading a compressed file of 10 resumes, with the AI reading the file, evaluating candidates, calculating rankings, and writing a final report.
The AI processes multiple PDF files simultaneously and organizes plans and intermediate results into Markdown files, which is impressive.
By utilizing cloud PCs with a concurrent asynchronous processing method, it can significantly reduce the time and cost compared to manual work.

[3] Implementation of Various Functions – Map Visualization and Animated Website Creation

Manus performs map visualization tasks based on geographical data, such as the Battle of Lexington.
Terraform visualization through code files can be seen, and graphics are generated using chart libraries.
Additionally, it implements real-time simulations incorporating HTML, CSS, and JavaScript through the process of creating an animated website about the law of conservation of momentum.

[4] Case Study of In-Depth Analysis of Tesla Stock and Dashboard Creation

The potential of Manus is confirmed through a case study that analyzes corporate stock data by gathering comprehensive information and creating an interactive dashboard.
The feature to display information in real-time through user interactions like mouse hover is immediately applicable in practice.

[5] Open-Source Version ‘Open Manus’ – Installation and Configuring Tips

An open-source version called Open Manus, created by Chinese developers, has been released.
It is installed using Python 3.12 in an Anaconda environment, and variables such as API keys, models, and template settings can be adjusted in the configuration file after Git cloning.
The usage is simple, but the progress can be checked through intermediate outputs (Markdown, code execution logs, etc.).

[6] Computing Resource Constraints and Cost Issues

Each prompt request to Manus costs approximately $0.5 to $1.
Since multiple tasks are performed simultaneously on a cloud PC, the computing resources may be limited.
It is in the initial stage of use, and resource usage and various issues need to be resolved.

[7] Future Prospects and Considerations for Practical Application

The emergence of autonomous AI agents like Manus requires organizational changes and individual career re-establishment in line with technological advancements.
Although there are still many issues and improvements needed before companies can actually utilize it, there is a growing interest in open-source development, the global economy, cloud, AI, autonomy, and the latest technologies.
In the future, it is expected that these technologies will be quickly integrated into practice, innovating existing business processes.

< Summary >
Like the confident presentation of the Manus general-purpose autonomous AI agent founder, it autonomously handles everything from conceptualization to execution, not just simple idea generation.
The demo video showcases various practical examples such as resume evaluation, map visualization, animated website creation, and Tesla stock analysis.
It utilizes cloud PCs through concurrent asynchronous operations, and all intermediate results are recorded in Markdown files, making tracking easy.
The open-source version ‘Open Manus’ has been released, and its easy installation and API configuration provide a new experience for early users.
Although there are issues to resolve, such as cost problems and computing resource constraints, these latest technologies are expected to drive future changes related to the global economy, cloud, AI, autonomy, and the latest technologies.

*Source : [모두의AI] 자율에이전트 Manus 로컬로 써보기