-
25개 종의 mRNA 언어 모델을 $165로 학습하기
Training mRNA Language Models Across 25 Species for $165
-
TRL v1.0: 분야와 함께 성장하는 포스트-트레이닝 라이브러리
TRL v1.0: Post-Training Library Built to Move with the Field
-
Import AI 451: 정치적 초지능; 구글의 마음의 사회, 그리고 로봇 드러머
Import AI 451: Political superintelligence; Google's society of minds, and a robot drummer
Are there any genies that can be put back in the bottle?
-
마우스 포인터의 재상상으로 AI 상호작용의 미래를 열다 – Google DeepMind
Shaping the future of AI interaction by reimagining the mouse pointer â Google DeepMind
Google DeepMind is transforming the mouse pointer into a context-aware AI partner. Move beyond the friction of traditional prompting with intuitive AI collaboration in Chrome and b…
-
OpenClaw을 자유롭게 활용하세요
Liberate your OpenClaw
-
Gemini 3.1 Flash Live: 더욱 자연스럽고 신뢰할 수 있는 음성 AI
Gemini 3.1 Flash Live: Making audio AI more natural and reliable
Our latest voice model has improved precision and lower latency to make voice interactions more fluid, natural and precise.
-
사람들을 해로운 조작으로부터 보호하기 – Google DeepMind
Protecting People from Harmful Manipulation â Google DeepMind
Google DeepMind researches AI's harmful manipulation risks across areas like finance and health, leading to new safety measures.
-
Lyria 3가 더 많은 Google 제품으로 확장되며 새로운 기능 추가
Lyria 3 expands to more Google products, adds more features
Introducing Lyria 3 Pro, which unlocks longer tracks with structural awareness. We’re also bringing Lyria to more Google products and surfaces.
-
Import AI 450: 중국의 전자전 모델; 트라우마 입은 LLM들; 사이버 공격의 확장 법칙
Import AI 450: China's electronic warfare model; traumatized LLMs; and a scaling law for cyberattacks
How will timeless minds value time?
-
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
-
AGI를 향한 진전 측정: 인지 프레임워크
Measuring Progress Towards AGI: A Cognitive Framework
We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.
-
ImportAI 449: LLM이 다른 LLM을 학습시킴; 72B 분산 학습 실행; 컴퓨터 비전은 생성 텍스트보다 더 어렵다
ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
Will AI cause a political interregnum
-
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.
-
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?
-
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.
-
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?
-
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.
-
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
-
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?
-
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.
-
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.
-
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
-
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?
-
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.
-
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
-
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?
-
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
-
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.
-
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?
-
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
