All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
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…
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.…
Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use policies that are fixed before deployment. This limits their ability to adapt how they gather evidence, invoke…
Large language models solve grade-school math word problems with high accuracy, yet a single irrelevant clause inserted into the problem can collapse it. We reconcile these observations with a mechanistic account. We show that the model's internal computation decomposes into a…
Large reasoning models (LRMs) generate long chain-of-thought traces before answering, creating significant inference overhead. Pruning can reduce this cost, but its effectiveness depends on the calibration data used to estimate parameter importance. Recent work calibrates on the…
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…
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…
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…
AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history refer to different states. Provenance, attestation, and transparency expose history but alone do not specify the publication transition examined here.…
A large language model (LLM) agent can follow more graph paths without acquiring more independent evidence. GraphEcho tests whether agents mistake these repeated encounters for additional corroboration. The benchmark varies path counts and evidential origins while holding…
The Graph Coloring Problem (GCP) is NP-hard and DSATUR stands as one of the fastest heuristics for it despite producing colorings that typically use more colors than state-of-the-art coloring algorithms. We propose SSLD (Semidefinite Spectral Learning with DSATUR), which…
Long-term memory is becoming a core substrate for personalized AI, yet most systems still represent personalization as discrete records in a largely static latent space, accessed under one global similarity notion. For data mining, this creates a mismatch: the evidence is a…
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[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.…
OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.
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。
一份新报告警告说，人工智能热潮产生的电子垃圾被大大低估了。到 2050 年，这些垃圾可能足以装满 2300 万个集装箱——如果 40 英尺的集装箱排成一排，大约足以绕地球六圈。这是一个明显更高的估计……
Hello everyone. In this episode, the most important and latest news about artificial intelligence and technology. And agents have invented their own language to communicate faster. And humans have almost stopped understanding their commands. Google has introduced Gemini 1.5…
Anthropic is initially releasing these features to Pro and Max plan subscribers.
Claude is getting a pair of new tools today: Docs and Slides. They'll let you create documents and presentations through Claude chats, which you can export, edit, and share with other users. As part of the announcement, Anthropic is also simplifying how Claude chats work,…
OpenAI and AARP are bringing free, hands-on ChatGPT workshops to 1,000 older adults across 10 U.S. cities to build practical AI skills safely.
Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.