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🔬인과 모델은 인과 데이터가 필요하다 - 약물 발견을 위한 Xaira의 X-Cell 모델
🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)
Xaira Therapeutics is all in on data generation for model building! We talk with Bo Wang and Ci Chu about how and why.
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Lilian Weng이 정리한 RSI 하네스 엔지니어링 35편 논문 요약
[AINews] Lilian Weng summarizes 35 papers on Harness Engineering for RSI
a quiet day lets us read some condensed insight
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🔬 가장 멋진 확산 연구는 LLM에 없다 - Genesis Molecular AI의 Evan Feinberg & Sergey Edunov
🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI
Why the Llama lead left Meta for drug discovery, PEARL's zero-shot OpenBind win, and what becomes possible when co-folding finally crosses the accuracy threshold.
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2026년 5월 25일 공지사항: Anthropic 공동창업자 크리스 올라의 교황 레오 14세 회칙 '매그니피카 후마니타스'에 대한 발언
May 25, 2026 Announcements Anthropic co-founder Chris Olah's remarks on Pope Leo XIV's encyclical "Magnifica humanitas"
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Import AI 459: AI 감시의 어려움, 단백질 폴딩 모델의 스케일링 법칙, AI 시스템의 멸종 위험 가격 책정
Import AI 459: AI oversight is difficult; scaling laws for protein folding models; and pricing the extinction risk of AI systems
Do you feel as though you are living in a revolution?
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OpenAI 프론티어 모델과 Codex가 이제 AWS에서 이용 가능합니다
OpenAI frontier models and Codex are now available on AWS | OpenAI
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement work…
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보스턴 어린이병원이 AI로 새로운 진단을 찾아내다
Boston Children’s uses AI to unlock new diagnoses | OpenAI
Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.
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[AI뉴스] OpenAI GPT-next, 80년 된 Erdős 평면 단위 거리 추측을 1000달러 미만으로 증명
[AINews] OpenAI GPT-next disproves 80 year old Erdős planar unit distance problem for under $1000
a quiet day but a nice result in AI x mathematics
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OpenAI 모델이 이산 기하학의 중심 추측을 반박했다
An OpenAI model has disproved a central conjecture in discrete geometry | OpenAI
An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.
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[AINews] 프론티어 랩에서 일자리를 얻는 방법 (사전학습 분야)
[AINews] How to land a job at a frontier lab (on Pretraining)
a quiet day before google i/o lets us amplify a notable blogpost
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임포트 AI 457: AI 스턱스넷; 저주받은 뮤온 최적화기; 긍정적 정렬
Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Welcome to Import AI, a newsletter about AI research.
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Import AI 455: AI 시스템들이 자신들을 스스로 구축하기 시작할 것이다
Import AI 455: AI systems are about to start building themselves.
The first step towards recursive self improvement
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LLM 아키텍처를 이해하기 위한 내 워크플로우
My Workflow for Understanding LLM Architectures
A learning-oriented workflow for understanding new open-weight model releases
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현대 LLM의 어텐션 변형 시각 가이드
A Visual Guide to Attention Variants in Modern LLMs
From MHA and GQA to MLA, sparse attention, and hybrid architectures
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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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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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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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Claude 3.5 Sonnet으로 SWE-bench Verified의 기준을 높이다
Claude SWE-Bench Performance