Thread 5-Day Monetization Challenge

The AI era is bringing many changes to the gaming industry. We explore how the future will change, how to prepare for the future, and survival strategies for game developers.

[Strategic Roadmap for System Control and Prevention of Cognitive Atrophy in the AI Era] 1. Introduction: Technical Initiative and Strategic Command (Strategic Command vs. Passive Dependence) A core insight derived from the past 40 years of automotive R&D and corporate management is that entities that lose technical control are highly likely to devolve from beneficiaries of a system into its dependents. In particular, the proliferation of Artificial Intelligence (AI) technology—comparable to high-performance engines—presents a crossroads: it will either leave humans as "passive passengers" of technology or allow them to leap forward as "strategic commanders" who master the system. The indiscriminate dependence on AI observed today is accelerating "Cognitive Offloading," a phenomenon where humans entirely delegate their inherent thinking and analytical mechanisms to machines. This induces the deactivation of the brain's Executive Control Network (ECN) and carries the risk of a structural crisis known as "Cognitive Atrophy," leading to the functional decline of the frontal lobe in the long term. This course aims to present a strategic methodology to strengthen human cognitive capabilities and safeguard intellectual sovereignty in response to this intellectual crisis. 2. Five Core Methodologies for Safeguarding Cognitive Sovereignty ① Maintaining Cognitive Plasticity and Designing Intentional Cognitive Load (Cognitive Gym) The convenience of AI, which provides immediate and seamless answers, can lead to a disconnection in thinking and the omission of critical review processes. To prevent this, it is necessary to design intentional "Cognitive Friction" within work processes. By counter-utilizing AI's automation functions to forcibly delay and deepen the human thinking process, advanced training must be conducted to stimulate neuroplasticity and raise the threshold of thought. ② Establishing an Adversarial Verification System Based on Multi-Agent Systems (MAS) Human cognitive systems are susceptible to "Automation Bias," the tendency to uncritically accept AI outputs. To offset this bias, it is effective to operate a "Critique Agent" or a virtual "Red Team" that analyzes and attacks the vulnerabilities of the logic, separate from the primary model that follows the user's instructions. This forces the process of building defensive logic, thereby activating "System 2 (deliberative thinking)" as defined by Daniel Kahneman. ③ Implementation of Literacy-Based Dual-Track and RQTDW Learning Methods The ability to verify digital tools is directly proportional to one's analog foundational thinking system. While maintaining literacy to deeply grasp the context of text, it is recommended to internalize the 5-step RQTDW roadmap: Read (Deep Reading): Perform a multi-faceted identification of the source of information. Question (Questioning): Pose critical questions regarding logical consistency and the validity of premises. Think (Confronting Contradictions): Analyze and contemplate trade-offs and logical gaps between information. Discuss (In-depth Discussion): Diversify points of contention through virtual or actual discussions. Write (Reconstruction): Refine the results of expanded thinking into human-specific language for systemic internalization. ④ Applying the Sandwich Workflow to Clarify Accountability Delegating the entire work process to AI poses a high risk of cognitive paralysis; therefore, it is essential to establish a rigorous workflow that structurally separates the roles of humans and AI. Context Design Phase (Top Bun): Setting the purpose of the task, imposing constraints, and designing the overall architecture must be performed under human leadership. Data Processing Phase (Meat): Tasks involving repetitive and large-scale resources, such as calculating vast data, sorting, and drafting, are delegated to AI. Final Verification Phase (Bottom Bun): Ethical judgment, precise cross-referencing of facts (Fact-check), and final value attribution are returned to the human domain of responsibility to ensure system stability. ⑤ Hallucination Control and Strengthening Epistemic Boundaries via the SIFT Model AI possesses the attributes of a "stochastic parrot," combining tokens based on probabilistic frequency without a substantive understanding of meaning. Therefore, one must be wary of the "illusion of knowledge" created by AI's fluent output. To this end, a 3-step fact-checking protocol and the SIFT model must be strictly applied in practice. The habit of "Lateral Reading"—tracking original sources and contrasting them with external data—becomes a key mechanism to prevent intellectual free-riding on technical convenience. 3. Conclusion: The Strategic Mission of the Hyper-Intelligent Helmsman While the phenomenon of intelligence is manifested through engineering design, the core agent that controls it in a meaningful direction and creates business value remains rigorous human thinking. This masterclass is designed to ensure that students acquire the capabilities of a "Hyper-Intelligent Helmsman" who controls the powerful power source of AI and designs organizational systems. Strengthen the cognitive muscles of individual members and actively respond to technical challenges. When rigorous engineering control is combined with advanced cognitive abilities, AI will finally function as a strategic asset that drives the sustainable growth of both members and the organization.

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!

A learning method that does not rely on AI. From developers to students and graduate students, learn how to turn your efforts into actual results through real-life coaching cases.

Recommended for dan-level players ranging from 1-dan to 7-dan! Yeongeumpaduk provides an in-depth analysis of the masterful games by Lee Changho 9-dan, who was called the God of Go!! We've carefully covered even the aspects that amateur strong players miss.~ Invest just 20 minutes a day to boost your stagnant Go skills again~

The power of AI, completed with PPT. This course goes beyond simple presentation creation, It's an all-in-one course that uses AI to finish everything from planning to design and content creation at once. Complex design? Now AI suggests everything from the initial draft Product detail pages, video production, carousels, GIF banners, e-books, etc. all created with just PPT AI prompt-based content generation followed by content creation with PPT, etc. Complete disclosure of AI+PPT's unique workflow! Even if you're not a designer, even if you don't know the tools well A practical course where anyone can create professional-level results. 💡 "You provide the ideas, AI and PPT handle the rest!" Right now, your content creation method will completely change.

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

This course is a practical program where you will plan an e-book, write it with AI, complete the design, and register it on an actual sales platform—all within 7 days. It is structured step-by-step so that even beginners can follow along. By the end of the course, you will have a finished PDF e-book of over 20 pages and complete the platform registration process. Execution-oriented, not theory-based. The goal is not just "trying to write" an e-book, but actually "publishing" one.

This course is a practical beginner's course where you'll directly create various videos such as talking avatars, AI dance, and fairy tale animations using AI tools like HeyGen, Viggle, Runway, and more.

"Machines speak the right answers, humans ask the questions." A class where you rediscover your humanity as you learn AI. Now, it's time to train your 'intellect.'

Recommended for these students! Frozen~! Coco! I watched it too~ But how was it made? I want to major in animation too, but is this really what I want to do? Can I learn everything once I enter a university program? What should I prepare for employment? Should I just watch a lot of animations? That animation looks like it has a different style - I want to know how it's produced AI has advanced too, can't I make it on my own? I want to get a job at an animation company - any tips? In this class, you'll learn: ✔ Animation genres, fields, concepts, and all the production processes needed for creation! ✔ What are the actual working departments in animation companies? Which departments play what roles as the gears turn in the production process? ✔ Concepts, production, management, and even hands-on practice! Once you complete all of this, you'll become an animation master who understands the concepts even better than animation majors!

Understand the essence of the job market through economic and statistical concepts, and redesign employment and career-change strategies as data-driven probability problems rather than relying on intuition or "spec" (credentials) competition. Instead of simply accumulating more credentials, this strategy shifts the "playing field" to a rational recruitment market by using AI to directly collect and analyze job postings and corporate data to select markets and openings with a high probability of success. By utilizing AI as a tool built upon core economic and statistical concepts, we systematize document, interview, and application strategies, presenting a way for even non-majors to develop a data-driven employment mindset. Furthermore, we provide a method for non-majors to directly implement a 24-hour AI recruitment assistant—which can be used immediately as a portfolio piece—through AI-based "Vibe Coding."

The AI era is bringing many changes to the gaming industry. Let's explore how AI-based content generation is impacting the game industry.

The AI era is bringing many changes to the gaming industry. We will predict how the future will change and how to prepare for it, and explore the ideal talent profile and study strategies for the gaming industry.

- I am a Research Engineer/AI PM running a 4-year-old AI startup. - This video is a lecture for those who want to start studying artificial intelligence "now" or in "2026". - Looking at college students, I see many who have no idea how to get started with artificial intelligence. - I hope that after watching this lecture, you'll be able to start studying artificial intelligence. - For reference, this lecture is not about "using AI in my work" or "getting started with monetization methods using GPT". - This is a video about how students, graduate students, or developers can get started when they want to study artificial intelligence.