AI and Technology, a tech briefing on semiconductors, generative AI, developer tools, and regulation at a glance

Announcements come so fast in AI that it is hard to tell what moves the field from what is simply marketing. Here we place technology, industry and regulation side by side and follow the thread.

We cover how generative AI and large language models work, AI chips and the memory industry, data centres and power, development patterns such as prompts, agents and evaluation, practical resources like the Claude API, and regulatory movement including the EU AI Act.

So that a new model release does not mean learning everything again, we separate the principles that do not change from what genuinely changed this time.

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Korean infographic reviewing Claude Fable 5.1 claims on cache costs, performance, safety, and adoption — It compares the claimed cache discount with total costs and lists performance, safety, and adoption checks. What Changed in Claude Fable 5.1: Verifying Cost, Performance, and Safety Claims

Infographic on verifying Fable 5.1 release, pricing, API, research accuracy, and practical costs — The graphic outlines how to check Fable 5.1 claims using official documents, matched tests, and small-scale trials. Verifying Anthropic Fable 5.1 Claims: How to Check Pricing, Performance, and Research Capabilities

Infographic with a person steering beside AI, outlining competence traps, human judgment, methods, and stop criteria — It shows how people can use AI while retaining control of goals, verification, and final decisions. The AI-Era ‘Competence Trap’: How to Build Your Own Method Without Outsourcing Your Thinking

The workflow moves from question research to attribute standardization, channel alignment, a knowledge hub, and validation. Practical Guide to Brand Information Design for AI Recommendations

Infographic outlining the Future Response Fund’s funding flow, investments, estimated size, oversight, and risks — The proposal targets youth, growth, regional development, and education, with its total size still unconfirmed. Future Preparedness Fund Proposal: Funding, Investment Areas, and National Assembly Oversight

Korean infographic contrasting Bitcoin bullish factors with guaranteed price gains — It reviews liquidity, payments, reserves, mining, and market indicators while stressing that gains are not guaranteed. Do U.S. Liquidity, Stablecoins, and Security Guarantee a Bitcoin Rally?

Infographic on local LLM sensitive-data filtering, rules, text separation, model evaluation, and controls — The diagram shows a hybrid workflow for protecting sensitive data and evaluating local LLMs. Designing Sensitive Information Filters with Local LLMs: Rule-Based Detection and Evaluation of gpt-oss, Qwen, and Gemma

Five-part workflow automation diagram covering overload, bottlenecks, redesign, AI-assisted iteration, and controls — The diagram shows how workflow redesign and small AI-assisted automations can replace unnecessary handoffs after hiring is denied. A Non-Developer's Workflow Automation Case That Began with a Staffing Rejection

Infographic comparing local AI, data center inference, hybrid architecture, and routing errors — The graphic explains how AI tasks can be split between local devices and data centers. Will Open-Weight and Local AI Replace Data Center Inference?

Infographic comparing local AI and data center inference by concept, performance, cost, tasks, and hybrid use — It shows local AI handling short, sensitive tasks while data centers handle longer, more complex work. Why Data Center Inference Is Likely to Remain Mainstream as Local AI Advances

Infographic outlining AI automation SaaS growth signals, workflows, conversion, operations, and sustainable growth — Using Postiz as a case study, the infographic presents six areas for validating growth and building reliable AI automation SaaS. AI Automation SaaS Growth Strategy: The Postiz Case and Validation Tasks

Infographic comparing Naver and Kakao AI models, monetization paths, and investment efficiency — The graphic compares both companies’ AI strategies through conversion, costs, and profitability beyond MAU. Comparing Naver and Kakao's AI Strategies: Monetization and Investment Efficiency Matter More Than MAU

Google AI strategy infographic covering models, distribution, inference costs, revenue, and advertising limits — The infographic shows that Google AI depends on distribution, cost efficiency, and monetization as well as performance. Google's AI Strategy: Why Distribution and Inference Economics Matter More Than Model Competition

Korean infographic of a reproducible E-E-A-T scoring workflow, evidence validation, scoring, and audit outputs — The diagram shows how evidence is extracted, cross-checked, scored by fixed rules, and packaged for auditing. How to Score E-E-A-T Reproducibly in GEO Analysis Tools

GPT-5.6 Sol API infographic showing $400 input and $2,000 output per million tokens — The graphic summarizes the discounts, promotion period, cost structure, and processing options. GPT-5.6 Sol API Price Cut: Promotion Through November 21, 2026

Infographic on combining midlife experience with AI, including workflows, opportunities, and risks — The framework adds AI to human experience while keeping people responsible for judgment and every stage of the process. Plus Human: How to Combine Midlife Experience with AI

Infographic outlining six Claude Code prompting principles with icons and step-by-step items — It presents six principles for turning prompts into actionable, testable work specifications. 6 Prompting Principles for Improving Claude Code Output Quality

Graph engineering diagram of AI agent workflow nodes, edges, conditions, roles, and operational safeguards — The diagram maps a controllable agent workflow from intent detection through parallel analysis and human approval to execution. Graph Engineering: Design Principles for Structuring AI Agent Workflows

Infographic explaining Claude Code Rules, Skills, Agents, workflow, permissions, and contexts — It outlines the practical flow from project structure and reusable rules to agent delegation and result validation. Practical Guide to Claude Code Rules, Skills, and Agents

Five-step infographic for checking AI news claims using evidence, benchmarks, concepts, facts, and judgments — The report outlines a checklist for verifying claims about Grok 4.6, GPT-5.6 Soul, and Gemini 3.7 Flash. Claim Verification Report: Grok 4.6, Computer History, and Gemini 3.7

Korean infographic outlining the Everyone's AI timeline, services, model mix, safety steps, and evaluation metrics — The graphic presents five areas for launching and validating the free public AI service. Government ‘AI for Everyone’ Project: Free, Unlimited Framework and Verification Issues

Eight-panel Korean infographic on the shift from GPU-centric to memory-centric AI chips — It outlines data bottlenecks, memory tiers, HBM and HBF, packaging, co-design, and optical links. From GPU-Centric to Memory-Centric: A Shift in the AI Chip Paradigm

Korean infographic on private revenge, rule of law, dual-use drones, AI responsibility, and oversight — The infographic stresses limiting drone and AI authority while keeping human responsibility clear. The Ethics of Vigilante Revenge, Drones, and AI Control in Pyromaniac

Infographic comparing token cost components, ASIC and GPU strategies, metrics, and cost per successful task — The graphic shows why AI chip efficiency is better judged by cost per successful task than token price alone. Cost per Token: The New Benchmark in AI Chip Competition