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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
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의미 ID를 활용한 제어 가능 추천을 위한 LLM-RecSys 하이브리드 훈련
Training an LLM-RecSys Hybrid for Steerable Recs with Semantic IDs
An LLM that can converse in English & item IDs, and make recommendations w/o retrieval or tools.
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Qwen3을 처음부터 이해하고 구현하기
Understanding and Implementing Qwen3 From Scratch
A Detailed Look at One of the Leading Open-Source LLMs
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GPT-2에서 gpt-oss로: 아키텍처 발전 분석
From GPT-2 to gpt-oss: Analyzing the Architectural Advances
And How They Stack Up Against Qwen3
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주요 LLM 아키텍처 비교
The Big LLM Architecture Comparison
From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design
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LLM 연구 논문: 2025년 목록 (1월~6월)
LLM Research Papers: The 2025 List (January to June)
A topic-organized collection of 200+ LLM research papers from 2025
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긴 맥락 질의응답 시스템 평가
Evaluating Long-Context Question & Answer Systems
Evaluation metrics, how to build eval datasets, eval methodology, and a review of several benchmarks.
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LLM의 KV 캐시 이해와 처음부터 구현하기
Understanding and Coding the KV Cache in LLMs from Scratch
KV caches are one of the most critical techniques for efficient inference in LLMs in production.
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AI Engineer 2025 - LLM 기술로 추천 시스템과 검색 개선
AI Engineer 2025 - Improving RecSys & Search with LLM techniques
Recsys & search are converging with LLMs via semantic IDs, data augmentation, and unified foundation models.
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뛰어난 리더십: 자질, 행동, 그리고 스타일
Exceptional Leadership: Some Qualities, Behaviors, and Styles
What makes a good leader? What do good leaders do? And commando, soldier, and police leadership.
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바닥부터 배우는 LLM 코딩: 완전한 강의
Coding LLMs from the Ground Up: A Complete Course
Why build LLMs from scratch? It's probably the best and most efficient way to learn how LLMs really work. Plus, many readers have told me they had a lot of fun doing it.
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MCP, Q, tmux를 이용한 일일 뉴스 요약 뉴스 에이전트 구축
Building News Agents for Daily News Recaps with MCP, Q, and tmux
Learning to automate simple agentic workflows with Amazon Q CLI, Anthropic MCP, and tmux.
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[AINews] 이전했습니다!! 이전을 도와주세요! • Buttondown
[AINews] We have moved!! Please help us move! • Buttondown
<p>Hi Friends,</p> <p>For a little over a year, AINews has been functioning in MVP mode on <strong><a href="https://buttondown.com" target="_blank">Buttondown</a></strong>, which i…
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LLM-as-Judge는 제품을 구하지 못합니다—프로세스 개선이 핵심입니다
An LLM-as-Judge Won't Save The Product—Fixing Your Process Will
Applying the scientific method, building via eval-driven development, and monitoring AI output.
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LLM 추론을 위한 강화학습의 현황
The State of Reinforcement Learning for LLM Reasoning
Understanding GRPO and New Insights from Reasoning Model Papers
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[AINews] Grok 3 & 3-mini 이제 API로 사용 가능 • Buttondown
[AINews] Grok 3 & 3-mini now API Available • Buttondown
<p><strong>X is all you need?</strong></p> <blockquote> <p>AI News for 4/17/2025-4/18/2025. We checked 9 subreddits, <a href="https://twitter.com/i/lists/1585430245762441216" targe…
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[AINews] Gemini 2.5 Flash, 파레토 프론티어 완전 제패 달성 • Buttondown
[AINews] Gemini 2.5 Flash completes the total domination of the Pareto Frontier • Buttondown
<p><strong>Gemini is all you need.</strong></p> <blockquote> <p>AI News for 4/16/2025-4/17/2025. We checked 9 subreddits, <a href="https://twitter.com/i/lists/1585430245762441216" …
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[AI뉴스] OpenAI o3, o4-mini, Codex CLI • Buttondown
[AINews] OpenAI o3, o4-mini, and Codex CLI • Buttondown
<p><strong>10x compute on RL is all you need.</strong></p> <blockquote> <p>AI News for 4/15/2025-4/16/2025. We checked 9 subreddits, <a href="https://twitter.com/i/lists/1585430245…
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[AINews] 최첨단 영상 생성: Veo 2와 Kling 2가 개발자용 출시 • Buttondown
[AINews] SOTA Video Gen: Veo 2 and Kling 2 are GA for developers • Buttondown
<p><strong>Lots of money is all you need.</strong></p> <blockquote> <p>AI News for 4/14/2025-4/15/2025. We checked 7 subreddits, <a href="https://twitter.com/i/lists/15854302457624…
