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Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark.
다른 보도 Lobsters
베스핀글로벌(대표 허양호)은 기업용 실행형 AI 에이전트 ‘헬프나우 컴퓨터’를 출시했다고 3일 밝혔다. 헬프나우 컴퓨터는 브라우저와 애플리케이션 및 터미널 등을 직접 조작해 업무를 수행하는 AI 에이전트로 사용자 목표를 실행 단계로 나누고, 각 작업의 실행과 재시도 및 중단을 제어하는…
다른 보도 더에이아이
오픈AI가 아랍에미리트(UAE)의 에너지·정부·투자 분야에 AI 에이전트를 도입하는 등 4건의 협약을 체결했다. 석유회사의 유전 개발과 생산·판매를 연결하는 AI를 제공하고, 정부에는 규정을 분석해 행정업무를 지원하는 시스템을 도입하는 등 중동에서 실제 산업 현장을 겨냥한 사업을…
홍콩 금융당국이 인공지능 에이전트가 사람이나 기업을 대신해 금융거래를 수행하는 시대에 대비해 신원 확인과 거래 권한, 법적 책임을 검증하는 감독체계 구축에 착수했다.
미국 인공지능(AI) 스타트업 클라크(Clark)가 회계법인의 감사업무를 자율적으로 수행하도록 설계된 AI 직원 ‘클럭스(Clerks)’를 출시했다.
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients.
Large language models are deployed as long-horizon agents that compose diverse tools across MCP services into executable workflows.
The advancement of multimodal learning is heavily constrained by the scarcity and high annotation cost of high-quality instruction data.
Speculative decoding has been treated purely as a systems optimization that speeds up large language model decoding without changing the model behavior.
Multimodal agents use web and image tools to answer questions beyond their internal knowledge.
Harness evolution from a common base exhibits Locality, Complementarity, and Nonstationarity: variants repair different failures, and their utility changes as…
Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale.
Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock.
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization.
Interoperable, efficient memory layer for agentic AI Discussion | Link
When a developer gives an AI agent a coding task, the agent does more than answer once.
Hacker News 점수 143 · 댓글 118
Pricing and Billing Infrastructure for AI Agents Discussion | Link
In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision.
다른 보도 prismreports.org
Protein-complex structure prediction with AlphaFold 3 depends on MSA content, depth, and cross-chain pairing.
Rapid advances in cowork agents are shifting human-AI collaboration toward real-world automation, delivering software, designs, and other artifacts.
인공지능 산업의 중심이 대규모 모델 학습에서 추론과 AI 에이전트의 실제 업무 수행으로 확대되면서, 아마존(Amazon)이 자체 개발한 반도체의 수요가 급증하고 있다.
위버스브레인은 교육 플랫폼 기업 NE능률과 AI 튜터 기술 공급 및 맞춤형 AI 에이전트 공동 개발을 위한 업무협약(MOU)을 체결했다고 2일 밝혔다.
Progress in AI is often measured by what a single model can do on its own.
New in the Messages API, send your conversation once, and the API receives only what’s new with every turn.
Cloud computers for any AI agent, customized your way Discussion | Link
Complex documents such as scientific papers contain rich information in tables, figures, and equations; however, existing deep research (DR) agents typically…
Tool-using language-model agents often execute actions that their domain policies forbid.
Recently, harness self-evolution has emerged as an important paradigm for improving agent performance.
We introduce Axion 1.0, a fully open agent foundation model that combines strong and broad agentic capabilities with a remarkably simple training recipe.
GUI web agents require realistic and interactive environments that remain stable during both evaluation and training.
LLM agents for GPU kernel optimization sit at two ends of a structure-freedom tradeoff.
Reasoning substantially improves language models' ability to solve difficult problems, but long reasoning traces make these gains expensive.
Long-term memory enables large language model (LLM) agents to provide continuous personalized assistance by retaining user information across interactions.