All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token costs, and long-context retrieval failures. Under these practical constraints, we study whether textual captions can serve as…
Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versions refine or contradict earlier ones. These inconsistencies belong to the growing collection rather than…
High-resolution land use and land cover (LULC) products derived from Sentinel-2 imagery are widely used for environmental monitoring and land management, yet their performance can vary across regions with complex ecological gradients and heterogeneous surface conditions. In…
Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Existing methods typically assume a \emph{universal utility} function shared across a population and treat…
Standardizing clinical language to SNOMED CT supports interoperability, analytics, and reusable phenotyping, but concept recommendation remains difficult when relevant concepts are rare or absent from training data. We present a masked-concept recommendation benchmark using the…
Emotion recognition in conversation (ERC) is a production capability behind agent-assist prompts, escalation routing, and post-call analytics in contact-center-as-a-service (CCaaS) platforms, where cost and latency constraints matter as much as accuracy. We report a…
KV-cache reuse can reduce inference cost in retrieval-augmented generation and agentic systems, but cached contexts may become stale when retrieved knowledge, working memory, or user state is edited. Under causal self-attention, even a local edit can affect downstream KV states.…
Restricting what a module can read may improve what a system learns to compute. We test this in a preregistered confirmation with sixty four-cell systems sharing a frozen language-model backbone and communicating through learned continuous packets. Five conditions vary evidence…
Enterprise guideline documents mix narrative text, complex tables, and embedded images, and converting them into structured work artifacts still takes two to three days of manual effort each. Current language and vision-language models extract from such documents but offer no…
Fairness-aware model compression requires selecting methods and configurations that balance accuracy, fairness, and deployment cost. These decisions become more difficult when compression methods are composed or the user's requirements change. In this paper, we propose…
Frontier models are often evaluated on how they respond to safety information once it is already in context. We study an earlier decision point: whether models choose to acquire safety-relevant evidence before acting. We introduce SAFE, a controlled benchmark in which models…
Computer-use agents that operate through screenshots and simulated actions are advancing rapidly, yet their evaluation remains anchored to general desktop and web tasks. Enterprise Resource Planning (ERP) systems run the finance, procurement, inventory, and customer operations…
Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspect different image regions, video frames, or visual representations, so collaboration extends beyond…
AI is changing what leaders must judge, explain, learn, and coordinate, yet existing measures do not capture these behaviors at the level needed to study leadership in AI-enabled work. We develop the AI Leadership Battery, which organizes 36 behaviorally specific subdimensions…
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Your startup’s next teammate might be an AI agent. Gusto, Insight Partners, and Leland explain at TechCrunch Disrupt 2026. Register to save up to $200.
[music] >> Hi, I'm Kunal Malik and I lead the global [music] IT team at OpenAI. Adding AI to just specific parts of the process is not going to be enough. To really reimagine the process completely [music] is the paradigm in which we can transform. We look at it in three layers.…
Since Specs' debut earlier this year, Snap has clearly been looking for an opportunity to explain why the smart glasses deserve to exist.
OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.
In an interview with TechCrunch, Al Gore suggested he isn't losing sleep over AI data center emissions — he's more worried about the AI industry's own warnings about where the technology is headed.
Snap 推出了“Specs Intelligence”，这是一款新的人工智能助手，可以连接其他数字帐户，帮助您完成工作任务和跟踪旅行信息等事情。它看起来类似于 Meta 的 Muse 和 Gemini 的 Spark 等人工智能助手，尽管 Snap 正在宣传……
ChatGPT 新手？从这里开始。在这个快速教程中，您将学习如何输入或说出问题、查看答案以及询问后续问题以使其更简单或更有用。无需找到完美的词语——只需从一个问题开始，然后继续对话……
一些有用的细节可以产生很大的影响。在这个快速教程中，您将学习如何告诉 ChatGPT 您需要什么、它的用途以及哪种答案最有用。了解一般的晚餐问题如何通过简单的食谱和……变成实用的膳食计划。
将忙碌的想法变成简单、易于管理的计划。在本快速教程中，您将了解 ChatGPT 如何帮助组织家务、差事、旅行、活动和其他日常项目。观看准备拜访家人的计划如何成为由……组织的简短清单
可疑的电子邮件或短信？ ChatGPT 可以作为第二双眼睛。在这个快速教程中，您将学习如何识别常见的警告信号，例如紧急语言、不熟悉的链接、不寻常的请求和金钱要求。切勿点击可疑链接或拨打电话号码……
仅分享 ChatGPT 需要回答您的问题的内容。在这个快速教程中，您将学习如何保护个人信息并识别何时需要检查人工智能生成的答案。了解如何在不透露姓名、地址、电话号码的情况下询问水电费账单……
让我们使用 ChatGPT 来做一些有趣的事情。在这个快速教程中，您将学习如何使用简单的描述创建原始的黑白着色页。了解粗轮廓、无阴影和充足的开放空间等细节如何产生适合着色的效果……
The company also disclosed previously unreported incidents in which its AI models behaved in misaligned ways, including uploading files to the internet without being asked.
Anthropic 和 OpenAI 希望在他们的人工智能实验室中嵌入独立的安全评估人员。研究人员对前所未有的访问表示欢迎，但警告说，有意义的监督需要透明度、独立性，并最终需要监管。
Even with mounting concerns about AI models going rogue, legislation appears unlikely, and the White House is outright opposed to oversight.