공식 발표해외OpenAI
How we detect frontier model misalignment
OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.
실시간
국내외 뉴스 · 기업 공식 발표 · 논문 · 영상 · 커뮤니티 소식을 한국시간 기준으로 제공합니다. 같은 소식은 하나로 묶고, 기본은 핵심만 보여 드립니다.
모든 수집 소식(구글 뉴스로 들어온 단건 보도 포함).
OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.
We're opening our first London office, our second engineering, product, and design hub after Stockholm.
Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
Using the Megu: SI Closet & Planner app exposed me to a method that helps me make better clothing choices and leave my home for special occasions in the best…
I found a free AI chatbot that works completely offline, giving you access to emergency advice, survival guides and useful information without Wi-Fi.
Meet Sprout: an semi-autonomous plant rover built with Gemini Live and Robotics ER 2.0 that navigates office spaces to hunt for sunlight and care for greenery.
Credit Saison’s ChatGPT Enterprise pilot delivered 954% ROI. See how leaders and employees helped turn the results into companywide adoption.
In general, LLM performance is incredibly multidimensional. There's no guarantee of a fixed ordering where the model that is best at math is also the model…
XREAL AURA pairs Android XR and Gemini with 70-degree see-through glasses and a compute puck, with orders open in the US, Canada and Korea.
다른 보도 Gemini 앱 소식
Meet Sprout, a semi-autonomous plant robot powered by Gemini. Watch as it navigates the office in search of sunlight, pings for help, and uses Gemini Live and…
Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational…
Automate complex accounting work without a single prompt Discussion | Link
Vision-language models can get individual judgments right while struggling to recover and consistently use the exact properties of a 3D object.
Predicting future physical states stands as a central challenge in embodied intelligence.
Effective computer-use agents (CUAs) should seamlessly combine visual GUI interaction with code and terminal execution within a single policy.
Trajectory-level GRPO is a common approach for training multi-step GUI agents, but repeatedly rolling out complete trajectories from the task root can be…
Coding agents increasingly rely on automated approvers to decide whether a proposed shell command may run.
On-policy Self-distillation (OPSD) has proven effective for post-training large language models by constructing a teacher conditioned on privileged references.
Safety alignment for Large Language Models is heavily focused on English with limited multilingual representation, particularly damaging low-resource language…
The pursuit of fair and equitable AI in human-centric tasks is critically hindered by the inherent biases and privacy risks of real-world datasets, which offer…
While frontier coding agents can generate high-quality 3D scenes and articulated assets, they struggle to create coherent long-horizon animations.
Large language models (LLMs) draw on parametric knowledge and retrieval-augmented generation (RAG) to solve knowledge-intensive tasks.
Mathematical supervision for language models is typically flattened into isolated problem-solution pairs, discarding the curricular organization and evidential…
Paul Copplestone and Ant Wilson on building the backend for AI agents
Evernote used ChatGPT Ads to introduce its note-taking app to people working with AI. The team tracked how often free trials led to paid subscriptions.