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[AINews] 마이크로소프트 빌드: MAI-Thinking-1과 MAI 패밀리 모델
[AINews] Microsoft Build: MAI-Thinking-1 and MAI Family models
Microsoft Build recap, and new MAI model technical details
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에이전트 개발 라이프사이클: AI 에이전트 구축, 테스트, 배포 및 모니터링 | LangChain
The Agent Development Lifecycle: Build, Test, Deploy & Monitor AI Agents | LangChain
Learn how leading engineering teams ship AI agents reliably and repeatedly using a four-phase agent development lifecycle: Build, Test, Deploy, and Monitor. Includes guidance on ev…
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Deep Agents v0.6의 새로운 기능
New in Deep Agents v0.6
Deep Agents 0.6 ships a code interpreter, harness profiles, streaming v3, delta channels, and ContextHub, making agents faster, cheaper, and more scalable.
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델타 채널: 장시간 실행 에이전트를 위한 런타임 진화
Delta Channels: How We’re Evolving our Runtime for Long-Running Agents
Long-running agents have a storage problem: checkpointing full state at every step grows at O(N²). DeltaChannel is a new primitive in LangGraph 1.2 that checkpoints only the diff e…
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법률 에이전트를 위한 효율적인 검증기 설계
Designing Efficient Verifiers for Legal Agents
A Harvey and LangChain Labs study on making LLM verifiers cheaper and more reliable for legal-agent evaluation and post-training.
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루브릭 소개: 자신의 작업을 평가하고 수정하는 에이전트 구축
Introducing Rubrics: Build Agents that Evaluate and Correct Their Work
Deep Agents' RubricMiddleware adds a self-evaluation loop to your agent runs. Set a rubric, configure a grader, and get reliable outputs on tasks where correctness matters.
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Stop Looping Tool Calls: Search as Code Cut Tokens 85% on a 200-CVE Task
By Perplexity, Search becomes Python the model writes on the fly. The SDK stays private, the pattern doesn’t.
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As AI agents evolve, we need to look past the RAG pipeline
This article is adapted from Ben Dickson’s AlphaSignal Sunday Deep Dive on Direct Corpus Interaction and GrepSeek.
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GitHub의 에이전트 계획
GitHub's plan for Agents — Kyle Daigle, GitHub
GitHub pioneered the modern AI coding era with Copilot, and the resulting explosion in agentic coding has led to notable strains on the most popular developer platform in the world…
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Holo3.1: 빠르고 로컬인 컴퓨터 사용 에이전트
Holo3.1: Fast & Local Computer Use Agents
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Travelers가 OpenAI와 함께 전국적으로 AI 기반 청구 보조 시스템 배포
Travelers deploys AI-powered claims countrywide with OpenAI | OpenAI
Travelers built an AI-powered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during peak demand.
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모든 역할, 도구, 워크플로우를 위한 Codex
Codex for every role, tool, and workflow | OpenAI
Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.
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글로벌 리더십을 통한 청소년 안전과 기회 증진
Advancing youth safety and opportunity through global leadership | OpenAI
OpenAI calls for global action on youth AI safety, proposing an international institute to strengthen safeguards, standards, and opportunities for young people.
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Rippling이 Deep Agents와 LangSmith로 6개월 만에 프로덕션 AI를 구축한 방법
How Rippling built production AI in 6 months with Deep Agents and LangSmith
Rippling uses LangChain Deep Agents and LangSmith to run cross-domain AI across HR, IT, finance, payroll, and global operations.
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엔비디아 코스모스 3, 네모트론 3 울트라, RTX 스파크
[AINews] NVIDIA Cosmos 3, Nemotron 3 Ultra, and RTX Spark
Jensen scores a huge win.
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Codex가 모두를 위한 생산성 도구가 되고 있다
Codex is becoming a productivity tool for everyone | OpenAI
The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation.
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Turn a Departing Engineer's Judgment Into an Editable, Versioned Skill File
COLLEAGUE.SKILL reframes the viral dot-skill repo: expertise as editable, versioned files, not a clone.
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AI 정책 및 정치적 옹호에 관한 우리의 입장
Our views on AI policy and political advocacy | OpenAI
Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.
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구글이 Gemini와 기타 AI 제품으로 I/O 2026을 구축한 방법
How Google used Gemini and other AI products to build I/O 2026
A collage of I/O-related images, including the Antigravity Coffee Co. pop-up, a colorful jellyfish and a still from the Timmy TPU video. The word AI repeats three times on the left…
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Mellum2 소개: JetBrains의 12B Mixture-of-Experts 모델
Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
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왜 비디오 에이전트 모델이 다음이 될까 — Ethan He, xAI Grok Imagine
Why Video Agent models are next — Ethan He, xAI Grok Imagine
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and why Grok Imagine is so underrated. For the first time, we do a deep dive with the guy who led it!
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LLM을 넘어서: 확장 가능한 엔터프라이즈 AI 도입이 에이전트 로직에 의존하는 이유
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
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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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미시간의 지능화 시대 인프라 구축
Building the infrastructure for the Intelligence Age in Michigan | OpenAI
OpenAI breaks ground on a 1GW data center project in Michigan as part of Stargate, building AI infrastructure to expand access, create jobs, and support communities.
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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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NVIDIA Cosmos 3 환영합니다: 물리적 AI 추론 및 행동을 위한 첫 번째 오픈 옴니모델
Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action
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[AI뉴스] 창립자들과 포워드 배포 엔지니어
[AINews] Founders and Forward Deployed Engineers
a quiet day lets us highlight the new AIE WF focuses
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인터프리터 스킬: 에이전트를 위한 워크플로우 구축
Interpreter Skills: Building Workflows for Agents
Interpreter skills extend agent skills with a TypeScript module the agent can import and run. This lets you build more capable workflows with your agents.