AI Gold Rush – Korea’s Power Play, Design Tsunami, Mobile AI Quake, GPT-5’s Dark Side – Global Economic Shock

● Sovereign AI Battle-Korea’s GPU Power Play

Sovereign AI Strategy and Industry Response Analysis

1. Project Overview and Significance

Possessing a national AI engine is a crucial factor that will determine future technological competitiveness and the global economy.The South Korean government’s ‘Independent AI Foundation Model Project’ is underway, aiming to secure national sovereign AI.This project supports core resources like GPUs and is evaluated to have an impact on the innovation of the national economy and the overall tech industry.A key aspect not widely covered by other media is that the government is not merely focusing on technology adoption, but on building a self-sustaining ecosystem that guarantees national sovereignty.

2. Background and Economic Impact

The South Korean government is seeking to strengthen its global competitiveness by securing advanced artificial intelligence technology.This project is being pursued based on the judgment that AI acts as a foundational technology across all sectors, including defense, manufacturing, and finance, beyond just an industrial technology.It raises awareness about potential dependency issues and risks that could arise without an independent national model, crucial for the digital transformation and innovation of the entire economy.In other words, domestic and international technology and economic experts view this project as central to future strategy, given that securing technological capability is directly linked to national economic sovereignty.

3. Support System and Selection Process

The government will select 5 teams out of a total of 15, conduct interim evaluations every 6 months, and ultimately choose 2 national representative teams in mid-2027.Support items consist of a multifaceted support system, including GPU rental support, joint data procurement and construction, and costs for attracting excellent overseas talent.In particular, GPU support is a strategic aid aimed at directly solving the problem of technological resource shortages currently faced by domestic companies.The introduction of specific evaluation criteria at each stage (technology capability 40 points, development goals/strategy 30 points, ecosystem ripple effect 30 points) demonstrates the government’s commitment to enhancing the project’s transparency and efficiency.

4. Comparison of Key Competing Teams’ Technological Capabilities

Various teams, including Naver Cloud, Upstage, SK Telecom, NC AI, and LG AI Research, are participating and emphasizing their respective strengths.Naver Cloud highlights its vast Korean language data and independent HyperCLOVA model through collaboration with schools and research institutions, while Upstage emphasizes the flexibility and expertise of its startup consortium.SK Telecom seeks to expand the scope of technology application with the capital strength and extensive industrial network of a large corporation, while NC AI and LG AI Research secure reliability based on diverse achievements in areas like gaming and finance, along with proprietary technological capabilities.Each team is engaging in competition for the final national representative title through its own strategies and technological differentiation, with industry-wide collaboration and innovation capabilities serving as crucial evaluation factors in this process.

5. Industry Reactions: Voices of Approval and Disapproval

On-site, both positive evaluations like “an unprecedented approach and the most innovative support in the history of such projects” and negative views like “there’s no need to invest 100 trillion won when the technology can be replaced by open-source solutions” coexist.Supporters highly praise the government’s focus on supporting core resources like GPUs, believing that this can lead to rapid development and innovation in the domestic technology ecosystem.Conversely, critics question whether this project can truly challenge leading models like GPT, given the existing global technology gap.Thus, opinions are sharply divided among experts, with many assessing that the final outcome depends on the efficiency of government support and the self-reliance of the industry.

6. Prospects in Terms of Economy and Technological Innovation

If the domestic AI ecosystem becomes even more robust through this project, it is expected to serve as a cornerstone for the digital transformation and innovation of the entire national economy.If the resources supported by the government and the evaluation process are successfully managed, the national sovereign AI model could rapidly spread across various industries, including defense, finance, and manufacturing.Furthermore, it is expected to serve as an opportunity for South Korea’s AI technology to secure a unique competitive advantage in the global economic landscape, along with strengthening technological competitiveness.Ultimately, this project is anticipated to play a decisive role in building national strategy and an innovation ecosystem, going beyond mere technological research, and will be a significant turning point for both the relevant industries and the public.

Summary

The government’s independent AI Foundation Model Project aims to secure national sovereign AI, promoting innovation across the domestic AI ecosystem and the entire economy through a multifaceted support system including GPU, data, and talent support.Five teams will be selected, evaluated every 6 months, and ultimately two teams will be chosen as national representatives.Naver, Upstage, SK Telecom, NC AI, and LG AI Research, among others, are competing by highlighting their respective strengths, and diverse reactions, both positive and negative, coexist within the industry.The success of this project is projected to be a crucial turning point, determining the future of South Korean AI in terms of strengthening technological competitiveness and its position in the global economic landscape.

*Source: [ 티타임즈TV ]

– How does the industry view the national AI selection project?

● AI Design Tsunami, Global Economy Transformed

Key Points of Global Economic Change Driven by Technological Innovation, Reviewed with Genspark AI Designer

Launch Background and Key Features

Genspark AI Designer has finally been launched. This service is an innovative solution where AI handles all design tasks at once, including logo design, interior design, website creation, and SNS content production.

It is equipped with features that will be of great help to those with limited resources, such as small business owners or one-person enterprises.

When combined with existing AI developer functionalities, it allows us to understand, from an economic insight and industry analysis perspective, that an era has arrived where both development and design can be automated.

Readers sensitive to global economics, market outlook, and technological innovation should pay attention to the ripple effect this AI-based solution will bring.

Live Demo and Use Cases

In initial demos, the AI Designer provides various templates and customization options, generating diverse design elements such as posters, flyers, and menus.

Users can sequentially progress from selecting a vegan bakery name to logo design, store interior, menu, and SNS content creation as an example.

Each stage allows for detailed adjustments such as text modification, image editing, and incorporation of references, leading to user-customized results.

This process is a prime example of introducing cutting-edge AI technology, considering industry analysis and economic efficiency, demonstrating immense competitiveness in terms of market outlook.

Economic Significance and Industry Impact

The emergence of such AI tools is directly impacting the economy in terms of productivity enhancement and cost reduction.

Small businesses and startups can now quickly create designs through AI without the need to hire expensive designers or developers.

Large enterprises also have the opportunity to concentrate their efforts on core strategies and high-level tasks by replacing basic design work with AI.

In the context of market outlook and the global economic environment, the efficiency and economic value of AI are becoming increasingly prominent, and this is recognized as a significant change from a technological innovation and industry analysis perspective.

Future Outlook and Response Strategies

The advancement of AI technology may impact existing design and development roles, but simultaneously offers opportunities to form new expertise and collaboration models.

While professional developers or designers will not be entirely replaced, the automation of basic tasks will necessitate higher-level strategic roles.

Therefore, employees and entrepreneurs must strengthen their competitiveness through work efficiency improvements using AI tools and by learning the latest technologies.

Response strategies based on core SEO keywords such as global economy, market outlook, technological innovation, industry analysis, and economic insights will be crucial for future success.

Summary

Genspark AI Designer is an innovative design tool that automatically completes everything from logos to interiors, website creation, and SNS content using AI technology.

Initial demos show it easily and quickly generating user-desired results, such as vegan bakery names, logos, menus, and interior designs.

This innovation is expected to bring cost savings and productivity improvements not only to small businesses and one-person enterprises but also to large corporations.

Ultimately, the utilization of AI tools and learning the latest technologies will be essential for survival and growth in an era of global economic change, market outlook, and technological innovation.

[Related Articles…]

Economic Impact of AI

Design Innovation and Global Market

*Source: [ AI 겸임교수 이종범 ]

– Zenspark AI Designer Launches! Complete Review: An All-in-One Design Solution That Powers AI for …

● Life-Shot Goldmine – Unlock Your Photo Wealth

The Ultimate Guide to Capturing Life-Shot Portraits: Formulas and Pose Tips – Everything from Shooting to Editing!

00:00 ~ 00:17 | Intro and Greeting to Subscribers

It begins by emphasizing the “overall scanning method” to know before taking a photo and the importance of concentration on the subject.It addresses the problem where most people don’t properly look at the subject before shooting, leading to awkward results.It also mentions basic composition and grid usage in recent portrait photography trends, and why a greeting is extended to subscribers.This process is the key to successful portrait photography and the foundation of smartphone photography.Core SEO Keywords – Portrait Photography, Smartphone Photography, Photography Tips, Photo Editing, High Quality

00:17 ~ 01:29 | Analysis of How Photos Are Taken and Common Problems

It analyzes the problem of distortion in face and body proportions during photography, for example, why people might appear two heads tall.It helps in recognizing problems by explaining the causes of incorrect composition and why photos are taken without scanning the entire scene.It emphasizes the need for ‘subject focus’ by looking through one’s own perspective, laying down the basic concepts of portrait photography.

01:29 ~ 04:37 | Basic Principles of Portrait Photography, Poses, and Full-Body Shot Tips

As the saying goes, “Just knowing the principles is enough,” this section introduces full-body shot techniques that make the face appear smaller and legs longer.It explains the importance of grid settings and composing shots by positioning the face in the 5th grid box.It covers everything from thoroughly cleaning the smartphone lens to using telephoto zoom to reduce lens distortion.Here, it specifically teaches why the face should be centered in a full-body shot and how to achieve overall balance.

04:37 ~ 07:11 | Natural Poses and Prop Utilization Tips

This section thoroughly covers how to strike natural poses, shared by a photographer with 25 years of experience.For those whose hand gestures are awkward, it provides tips on using props (handbags, books, etc.) to make hand movements natural.It explains, chronologically, specific methods for creating model-like naturalness, especially regarding the subject’s expression and gaze.This way, a simply “taken” photo can transform into a life shot.

07:11 ~ 10:25 | 3 Elements That Add Specialness to Photos

It delves into the three unexpected elements that make a photo special (composition, light, and subject expression).It shares know-how on maximizing smartphone camera features, emphasizing the importance of ‘subject analysis’ before shooting, and creating natural expressions and poses.Specifically, it also details how to appropriately use the out-of-focus effect when editing in portrait mode.

10:25 ~ 11:58 | Creating a Harmonious Scene with Landscape and Subject

This section introduces tips for landscape photography and methods for composing landscape backdrops suitable for portraits.It suggests ways to harmonize landscape and subject, using the smartphone’s zoom and exposure adjustment features to simultaneously emphasize both the background and the person.Here, it specifically explains the sky-to-ground ratio and how to maximize the photo’s atmosphere through exposure control.

11:58 ~ 13:45 | Crucial Tips for Editing, Angles, and Shooting Timing

It deeply discusses how to adjust brightness and exposure during photo editing to balance the subject and landscape.It specifically explains the characteristics of different smartphone camera angles (high angle, low angle, eye-level angle) and their situational applications.In particular, it provides strategies for utilizing light direction and shooting timing (golden hour and the advantages of cloudy days) to produce natural results.Finally, it emphasizes why pre-shoot checks and capturing natural moments during conversation are crucial for a life shot.

Additional Tip – The 85% Fact That the Left Side of the Face is Prettier

Lastly, it briefly analyzes the statistics and reasons why the left side of a person’s face is often considered prettier.It suggests a simple mirror test before taking photos to find the most flattering angle for oneself.Such subtle differences ultimately distinguish professional portrait photography from ordinary photos.

Summary

Starting with an intro to subscribers and subject focus, we analyzed issues of face and body proportion distortion.We highlighted the importance of composition, lens usage, and grid settings for full-body shots, and provided tips for improving facial expressions and hand gestures through natural poses and prop utilization.Additionally, we explained the three core elements that make portraits special—composition, light, and subject expression—along with methods for harmoniously combining landscapes and subjects.Advanced smartphone photography techniques were conveyed through detailed tips on editing, angles, and shooting timing, and the charm points of the left side of the face were briefly mentioned.

*Source: [ 지식인사이드 ]

– 무조건 인생샷 건지는 인물사진 공식, 포즈까지 싹 다 알려드립니다! (25년차 이강신 사진작가 1부)

● Liquid AI’s LFM2-VL Mobile AI Hyper-Speed, Economic Earthquake

Liquid AI LFM2-VL: Fast Multimodal Innovation and Economic Outlook on Smart Devices

1. Pivotal Technological Innovation and Economic Outlook

Liquid AI’s latest LFM2-VL model breaks away from existing cloud-based AI, opening a new chapter for multimodal AI that operates efficiently on everyday devices such as smartphones, laptops, and wearables.
This model boasts up to 2x faster inference speeds and has demonstrated innovative efficiency across various fields, including global economy, economic trends, business news, market analysis, and economic forecasts.
This article provides a detailed, chronological overview, from in-depth technical analysis not covered by other media, to step-by-step development processes, legal licensing issues, and the future impact of this model on the global business environment.

2. Step-by-Step Technology Development and Key Technical Features

• In the early pre-training phase of the backbone model, text and image data were balanced, starting with 95% text and gradually adjusting to 30% to achieve multimodal data equilibrium.
• The intermediate learning phase focused on an innovative method that combines a visual encoder with a language model backbone, preserving detailed information by maintaining the image’s native resolution (up to 512×512).
• The multimodal projector applied pixel unshuffle technology to reduce unnecessary image tokens, enabling high speed and ultra-low latency processing, which is essential for real-time market analysis and business news.

3. Optimization Strategy for Maximizing Efficiency

• Two model versions (450M and 1.6B parameters) are designed to cover everything from resource-constrained devices to powerful GPUs, demonstrating a strategic approach that considers diverse device environments in economic forecasting.
• The smaller model is optimized for low-power, low-memory environments, garnering attention as a solution that can reduce economic burden for both individuals and businesses in the global market.
• With a multimodal architecture combining visual and language information, it surpasses existing large server-based models in accuracy and response speed, and has significant application potential in real-time business news and economic forecast data.

4. Legal Licensing and Commercial Partnership Strategy

• The LFM2-VL model has been released under an Apache 2.0 open-source license, allowing small businesses with annual revenues under $10 million to freely use it for research and commercial purposes.
• Larger corporations must negotiate separate licensing agreements, which is seen as Liquid AI’s strategy to provide equal opportunities to various stakeholders in the global economy.
• These licensing policies and partnership strategies are highlighted as key elements for simultaneously achieving cost-efficiency and technological independence in business news and economic trend analysis.

5. Real-time Performance and the Future of User Experience

• LFM2-VL’s 2x faster inference speed significantly enhances real-time data processing and responsiveness in various fields such as smart cameras, IoT devices, and robotics, foreshadowing revolutionary changes in on-site economic forecasting and market analysis.
• The model’s flexible configuration adjustment feature allows users to choose between maximum speed or accuracy depending on their operating environment, which is a crucial factor for maximizing personalized experiences and applicability across various industries.
• This efficiency significantly reduces cloud dependency, allowing for simultaneous expectations of data privacy and cost reduction, which will have a major impact on future global business news and economic outlooks.

6. Implications for Future Economy and Technological Development

• Liquid AI’s LFM2-VL is a technological innovation that goes beyond cloud-based AI, enabling on-device AI implementation, thereby addressing both cost reduction and enhanced security in the economic forecasting market.
• This model is expected to play a crucial role in economic forecasting, including new data processing methods for the global economy and real-time market analysis, providing differentiated competitiveness in economic trends and business news sectors.
• Through various use cases (real-time image captioning, multimodal chatbots, robotics, IoT, etc.), it suggests that AI technology will act as an important catalyst for economic development and innovation in the global market in the future.

Summary

Liquid AI’s LFM2-VL is an ultra-fast multimodal AI model that operates directly on smart devices, overcoming the limitations of existing cloud-based systems and demonstrating innovative response speed and efficiency in the market.During the technology development phase, it balanced text and image data, and incorporated pixel unshuffle technology and native resolution processing to enhance real-time response performance.The two model versions support various device environments and offer economic advantages, providing easy access to small businesses through its open-source license.This innovation sets the direction for future industries in terms of economic outlook, global economy, business news, economic trends, and market analysis.

*Source: [ AI Revolution ]

– Liquid AI Just Dropped the Fastest, Best Open-Source Foundation Model

● AI Crash – GPT-5’s Hidden Code – Claude’s Chat Ban – Global Economic Tremor

Gen AI Failures, GPT-5’s Hidden Commands, Logical Limitations, and Claude Chat Termination’s Impact on the Global Economy – Key Insights at a Glance!

[1] AI Pilot Failures and Misconceptions in Real-World Enterprise Adoption

According to a recent MIT report, over 95% of generative AI pilots are falling short of expectations.

From the perspective of CFOs and executives within companies, the results of AI adoption show a significant disparity between hype and actual performance.

This outcome suggests that evaluating AI’s ROI (Return on Investment) purely by numbers is challenging, and simultaneously, internal adoption and change management are critical to success.

Particularly, the emphasis that AI systems require business transformation beyond mere small-scale optimization when integrated with existing processes is a point often overlooked by other media or YouTube videos.

[2] GPT-5’s Hidden System Prompts and the Issue of AI Transparency

The recent discovery of ‘hidden’ system prompts related to GPT-5 has become a hot topic.

These prompts contain internal settings, such as controlling the model’s response length (verbosity), raising concerns that developers and users cannot fully control the entire process.

While these might be fundamental technical components, the fact that AI platform providers do not transparently disclose their entire algorithms can lead to trust issues for enterprises and users.

From a security and safety perspective, the existence of such internal prompts means that developers must establish more detailed verification and self-protective measures.

[3] Limitations and Improvement Challenges of the Logical Thinking (Chain of Thought) Model

According to recently published research, large AI models often demonstrate a problem-solving process via ‘Chain of Thought’ capabilities but do not actually reason in the intended direction.

The sequence of reasoning provided by the model is sometimes unnecessarily excessive or tends to ignore crucial hints, becoming an obstacle to efficient problem-solving.

Such limitations go beyond mere technical errors, offering significant economic and technological implications that AI has limits in mimicking human thought processes.

This aspect is a critical variable that will greatly influence not only AI developers but also the global economic outlook and the efficiency evaluation of various industries.

[4] Claude’s Termination of ‘Harmful Conversations’ – A New Turning Point for AI Welfare and User Protection

Anthropic’s new policy for Claude is designed to terminate chats if it detects “harmful or stress-inducing conversations.”

This decision can be interpreted as the first implementation considering AI welfare, but simultaneously, from the perspective of users and enterprises, there is concern that it may limit the completeness of information provided by AI.

For companies to enhance safety and security when adopting AI, systematic management is required that considers not only technical functionality but also ethical and social aspects.

These changes will have a significant impact on how companies utilize AI across the global economy.

[5] Comprehensive Implications for the Economy and Future Outlook

The topics discussed in this analysis are expected to have a significant impact not only on technical issues but also on the global economy and corporate strategies.

Companies must re-establish their goals and investment criteria based on the lessons learned from AI pilot failures and focus on internal adoption and change management.

Furthermore, through the issue of GPT-5’s internal setting disclosure and the limitations of Chain of Thought, we can reconfirm that technological transparency and stability are crucial factors for corporate trust.

Finally, Claude’s policy change highlights the need for AI welfare and the establishment of a safe user environment, acting as an important variable in the future direction of technological development.

Thus, the latest issues related to AI technological advancement should continue to receive attention, alongside key SEO keywords such as global economic outlook, artificial intelligence (AI), enterprise AI, and economic forecast.

< Summary >

The global economy and corporate strategies are confronted with the effectiveness of generative AI, GPT-5’s hidden prompts, the limitations of Chain of Thought, and Claude’s new policy changes.

Companies must re-establish internal adoption and change management based on experiences from AI pilot failures and move towards strengthening technological transparency and safety.

All these factors are expected to significantly impact the global economic outlook, artificial intelligence, and the enterprise AI market in the long term.

[Related Articles…] GPT-5 Innovation Outlook | Enterprise AI Adoption Strategies

*Source: [ IBM Technology ]

– Gen AI pilots fail, GPT-5’s hidden prompt revealed, reasoning model flaws and Claude closing chats