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AlphaGo 10주년: AI 혁신이 AGI로의 길을 열어가는 방법 – Google DeepMind
AlphaGo at 10: How AI Innovation Is Paving the Path to AGI â Google DeepMind
Ten years since AlphaGo, we explore how it is catalyzing scientific discovery and paving a path to AGI.
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Import AI 448: AI 연구개발; 바이트댄스의 CUDA 작성 에이전트; 온디바이스 위성 AI
Import AI 448: AI R&D; Bytedance's CUDA-writing agent; on-device satellite AI
If Ukraine is the first major drone war, when will there be the first major AI war?
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Gemini 3.1 Flash Lite: 가장 비용 효율적인 AI 모델
Gemini 3.1 Flash Lite: Our most cost-effective AI model yet
Gemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.
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Import AI 447: AGI 경제; 생성 게임으로 AI 테스트; 에이전트 생태계
Import AI 447: The AGI economy; testing AIs with generated games; and agent ecologies
What might a superintelligence arcology be like?
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Nano Banana 2: Pro 급 기능을 초고속으로
Nano Banana 2: Combining Pro capabilities with lightning-fast speed
Our latest image generation model offers advanced world knowledge, production ready specs, subject consistency and more, all at Flash speed.
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봄날의 꿈: 2026년 1-2월 오픈웨이트 LLM 10가지 아키텍처
A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026
A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026
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Import AI 446: 핵 LLMs; 중국의 대규모 AI 벤치마크; 측정과 AI 정책
Import AI 446: Nuclear LLMs; China's big AI benchmark; measurement and AI policy
Will AIs be jealous of one another?
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Gemini 3.1 Pro: 가장 복잡한 작업을 위한 더 똑똑한 모델
Gemini 3.1 Pro: A smarter model for your most complex tasks
3.1 Pro is designed for tasks where a simple answer isn’t enough.
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자신을 표현하는 새로운 방법: Gemini가 이제 음악을 만들 수 있습니다
A new way to express yourself: Gemini can now create music
The Gemini app now features our most advanced music generation model Lyria 3, empowering anyone to make 30-second tracks using text or images.
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구글 딥마인드의 인도 파트너십: 과학과 교육에서의 AI 규모 확대
Google DeepMind Partnerships in India: scaling AI in science and education â Google DeepMind
Google DeepMind brings National Partnerships for AI initiative to India, scaling AI for science and education
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Import AI 445: 초지능의 시점; AI가 최전선 수학 증명을 해결; 새로운 머신러닝 연구 벤치마크
Import AI 445: Timing superintelligence; AIs solve frontier math proofs; a new ML research benchmark
Will 2026 be looked back on as the pivotal year for making decisions about the singularity?
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Gemini 3 Deep Think: 과학, 연구, 엔지니어링 발전
Gemini 3 Deep Think: Advancing science, research and engineering
Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges.
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Gemini Deep Think: 과학 연구의 미래를 재정의하다 — Google DeepMind
Gemini Deep Think: Redefining the Future of Scientific Research â Google DeepMind
Research papers point to the growing impact of Deep Think across fields
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Import AI 444: LLM 사회; 화웨이의 AI 커널; 칩벤치
Import AI 444: LLM societies; Huawei makes kernels with AI; ChipBench
How can you quantify creativity?
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Import AI 443: 안개 속으로: 몰트북, 에이전트 생태계, 그리고 전환기의 인터넷
Import AI 443: Into the mist: Moltbook, agent ecologies, and the internet in transition
Plus, a story about agents corrupting other agents
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프로젝트 지니: 미국 Ultra 사용자를 위한 AI 월드 모델 공개
Project Genie: AI world model now available for Ultra users in U.S.
Google AI Ultra subscribers in the U.S. can try out Project Genie, an experimental research prototype that lets you create and explore worlds.
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Import AI 442: AI 경제의 승자와 패자, 수학 증명 자동화, 그리고 사이버 첩보의 산업화
Import AI 442: Winners and losers in the AI economy; math proof automation; and industrialization of cyber espionage
Is superintelligence a phase change or a gradual shift?
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LLM 추론 개선을 위한 추론 시간 스케일링의 카테고리
Categories of Inference-Time Scaling for Improved LLM Reasoning
And an Overview of Recent Inference-Scaling Papers
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Import AI 441: 내 에이전트는 작동 중이야. 너의는?
Import AI 441: My agents are working. Are yours?
Plus: Corrupting AI systems with a poison fountain
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D4RT: 통합 고속 4D 장면 재구성 및 추적 – Google DeepMind
D4RT: Unified, Fast 4D Scene Reconstruction & Tracking â Google DeepMind
D4RT: Unified, efficient 4D reconstruction and tracking up to 300x faster than prior methods.
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Veo 3.1 재료에서 비디오로: 더 나은 일관성, 창의성, 제어
Veo 3.1 Ingredients to Video: More consistency, creativity and control
Our latest Veo update generates lively, dynamic clips that feel natural and engaging — and supports vertical video generation.
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임포트 AI 440: 레드퀸 AI; AI 규제 AI; O-링 자동화
Import AI 440: Red queen AI; AI regulating AI; o-ring automation
How many of your are LLMs?
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2025년 LLM의 현황: 진전, 문제, 그리고 예측
The State Of LLMs 2025: Progress, Problems, and Predictions
A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026.
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LLM 연구논문: 2025년 목록 (7월~12월)
LLM Research Papers: The 2025 List (July to December)
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible.
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2025 연간 회고
2025 Year in Review
An eventful year of progress in health and career, while making time for travel and reflection.
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DeepSeek V3에서 V3.2로: 아키텍처, 희소 주의, 강화학습 업데이트
From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Understanding How DeepSeek's Flagship Open-Weight Models Evolved
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세 가지 간단한 단계로 제품 평가하기
Product Evals in Three Simple Steps
Label some data, align LLM-evaluators, and run the eval harness with each change.
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표준 LLM을 넘어서 - Sebastian Raschka 박사
Beyond Standard LLMs - by Sebastian Raschka, PhD
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers
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새로운 Principal 기술 IC들을 위한 조언: 나에게 쓰는 노트
Advice for New Principal Tech ICs (i.e., Notes to Myself)
Based on what I've learned from role models and mentors in Amazon
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LLM 평가의 4가지 주요 접근법 이해하기 (기초부터)
Understanding the 4 Main Approaches to LLM Evaluation (From Scratch)
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples
