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논문리뷰 · AI·LLM 연구 · 2026-03-26

[Paper Review] AI Art and Cultural Capital | META-X

This paper expands discourse around AI art from technical praise to sociocultural criticism. Through the concept of 'digital cultural capital,' it analyzes new artistic hierarchies in the AI era.

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AI·테크 · 포토·미디어 · 2026-03-25

Meta Declares AI-Driven Platform Control | META-X

Meta's policy announcement on March 19, 2026 isn't just a feature addition — it's a strategic declaration to restructure the entire platform around AI-driven judgment and control.

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운세 · 분석·오피니언 · 2026-03-24

Daily Fortune 2026.03.25 | META-X

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AI·테크 · 2026-03-24

From Generative AI to Agentic AI: The Next Paradigm | META-X

After generative AI restructured industries, AI technology is reaching another turning point. 'Agentic AI' that judges and acts autonomously — not just generates content — is emerging as the next paradigm.

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AI·테크 · 포토·미디어 · 2026-03-24

Why Microsoft Acquired a Team Instead of a Service | META-X

AI collaboration startup Cove officially announced joining Microsoft on March 17, 2026, declaring the termination of its existing service and deletion of all data. This reveals where the true value of companies lies in the AI era.

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운세 · 분석·오피니언 · 2026-03-24

Daily Fortune 2026.03.24 | META-X

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AI·테크 · 포토·미디어 · 2026-03-23

NVIDIA's Nemotron Coalition Unifies the Open AI Ecosystem | META-X

At GTC 2026 in San Jose, California on March 16, 2026, NVIDIA officially announced the 'NVIDIA Nemotron Coalition.' Founding members include Black Forest Labs, Cursor, and other leading open AI partners.

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AI·테크 · 2026-03-23

Microsoft Declares Windows Quality Recovery | META-X

Microsoft is shifting the weight of its Windows 11 strategy back to 'quality.' Pavan Davuluri EVP of Windows + Devices published 'Our commitment to Windows quality' on the official blog on March 20, 2026.

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연재 칼럼 · 광화문덕 Shin의 물방울 · 2026-03-20

How Does an AI Nation Begin? | META-X Column

Spring is coming. A column on imagining what it means for nations to build around AI — the dawn of an AI nation and what that future might look like.

광화문덕 기자
인사이트 · 포토·미디어 · 2026-03-20

[Paper Review] Civic Competence in the Mobile Era | META-X

Since smartphones became daily life tools, the media environment has changed at unprecedented speed. News consumption, social communication, political participation, and cultural life are all now centered on mobile platforms.

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AI·테크 · 2026-03-20

Samsung Unveils Glassless 3D Gaming Monitor | META-X

Samsung announced at GDC 2026 the expansion of the Odyssey 3D platform gaming ecosystem — a gaming monitor that allows 3D gameplay without glasses — planning to double supported titles from 60+ to 120+ by end of 2026.

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운세 · 분석·오피니언 · 2026-03-19

Daily Fortune 2026.03.10 | META-X

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운세 · 분석·오피니언 · 2026-03-19

Daily Fortune 2026.03.19 | META-X

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운세 · 분석·오피니언 · 2026-03-19

Daily Fortune 2026.03.18 | META-X

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운세 · 분석·오피니언 · 2026-03-19

Daily Fortune 2026.03.17 | META-X

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인사이트 · 포토·미디어 · 2026-03-19

Is Gaming the New TikTok? The Tencent Equity Battle | META-X

Reports emerged that the US government is reviewing Tencent's overseas game investment stakes from a national security perspective. Discussion covers major game companies including Riot Games, Epic Games, and others with Tencent ownership.

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논문리뷰 · AI·LLM 연구 · 2026-03-19

[Paper Review] How TV Drama Becomes Reality for Viewers | META-X

One key question in modern media research is how people receive content. Much research has focused on how media messages affect people. Liebes and Katz offer a different lens on how audiences actively construct meaning.

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AI·테크 · 2026-03-19

In Whose Name Does AI Speak? AI Authorship Goes to Court | META-X

A class action lawsuit filed in a New York federal court in 2026 reveals a new legal issue in the generative AI era. Investigative journalist Julia Angwin sued Grammarly operator Superhuman Platform over AI authorship questions.

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AI·테크 · 2026-03-18

AI Evolution: From RNN to Transformer | META-X

As generative AI spreads rapidly, interest in the deep learning architectures underlying AI has grown. Today's large language models didn't appear suddenly — they're the result of decades of development from RNN to Transformer.

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