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nal four companies joining since then. Currently, twelve companies have published frontier AI safety policies: Anthropic, OpenAI, Google DeepMind, Magic, Naver, Meta, G42, Cohere, Microsoft, Amazon, xAI, and Nvidia. In August 2024, we released a version of this report describing commonalities among Anthropic, OpenAI, and Google DeepMind’s frontier safety policies. In March 2025, with twelve policies available, this document updated and expanded upon that earlier work. This December 2025 version

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e capabilities of the tool, this allows the AI to exfiltrate data, code execution, data manipulation or deletion, etc., all without the developer’s consent. An interesting feature Microsoft recently added to GitHub Copilot is that the result of an MCP tool is actually displayed to the developer and the developer can decide to include the data or not in the prompt context. It is possible to disable individual tools, which is good. But there is no secure way to enable dangerous tools at the moment

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great area is to imagine evolutions and refinements of HNSWs, without getting trapped within the idea that the evolutions are only in the sense of: let’s do it, but for disk (see Microsoft efforts), or the like. Ok, enough with the premise, let’s go to the actual low level stuff :) Scaling memory Redis is an in-memory system, and both HNSWs and vectors have the unfortunate quality of being very space-hungry. There are three reasons for this: 1. HNSWs have a lot of pointers, like 16, 32 or more

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into its design philosophy. 1. The evolution of critical thinking: How much should we trust AI? In a paper by Lee et al. (2025)[1], researchers from Carnegie Mellon University and Microsoft analyzed changes in the critical thinking of 319 knowledge workers when using generative AI. The results were noteworthy. The higher the reliance in AI, the less effort was made to think independently; Those who had high confidence in their own judgment maintained critical thinking even when using AI The rese

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with .NET Core. For each session key, determine its data type, serialization requirements, and usage patterns.” Next, use a Devin Session to register each key and serializer. "Add Microsoft.AspNetCore.SystemWebAdapters to the Global.asax file on the .NET side and configure session state sharing. Register all session keys with JSON serialization, set up the remote app server with proper API key configuration, and add the session server. For each session variable in the codebase, identify and regi

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gent with RL. It has several core features. Seamless integration with existing agents with ZERO CODE CHANGE (almost)!; Build with ANY agent framework (LangChain, OpenAI Agent SDK, Microsoft Agent Framework, ...); or even WITHOUT agent framework (Python programs); No constraints on the input to the LLM, allowing for flexible orchestration such as summarization, multi-agent collaboration, and other complex workflows When Agent Lightning was first released, we implemented an instrumented vLLM serve

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、OpenAI 的 ChatGPT ，以及 Elon Musk 的 xAI 旗下的 Grok。然后是开放权重 AI 家族，它们几乎（但并非完全）同样出色：中国的 Deepseek 、Kimi 、Z 和 Qwen，以及法国的 Mistral。在几乎任何 AI 评级系统中，这些 AI 模型的变体合计占据了前 35 名。你使用的任何其他提供前沿 AI 的服务，从 Microsoft Copilot 到 Perplexity（两者都提供一定的免费使用），都是以这九种 AI 中的一个或多个为基础驱动的。 你应该如何在它们之间做选择？一些免费系统（如 Gemini 和 Perplexity）擅长网络搜索，而另一些则完全无法搜索网络。如果你想要免费的图像生成，最佳选择是 Gemini，ChatGPT 和 Grok 紧随其后。但归根结底，这些 AI 在许多细微之处存在差异，包括隐私政策、访问级别、能力、它们处理伦理问题的方式，以及“个性”。而所有这些都会随时间波动。因此，基于这些因素选择一个你喜欢的模型并使用它。不过，如果你正在考虑可能升级到付费账户，我建议从 Anthropic、Google 或 O

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LI; X; FB Update – November 4, 2025: We have begun launching MAI-Image-1 into select Microsoft products! Try it in Bing Image Creator: Available at bing.com/create, in the Bing mobile app, or right from the Bing search bar, Bing Image Creator is built to meet people where they already search and create. MAI-Image-1 is now an option alongside DALL-E 3 and GPT4o in the model menu, enabling you to experiment and pick the model that best matches your creative goals. Try it in Copilot Audio Expressio

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hy it matters: Leaders can standardize a light-lift reading assistant across the org to speed brief creation and reduce time spent parsing long pages. Source: Google Blog Summary: Microsoft’s latest Windows 11 Insider build adds a taskbar button that shares the active app directly with Copilot to analyze and summarize what is on screen. A “Click To Do” gesture also offers instant translations when text in another language is detected. Why it matters: This reduces friction to use Copilot in the f

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nd welcome to TL;DR AI . Each week, I sort through the noise to bring you a curated digest of important AI developments and practical advice for business leaders. In this edition: Microsoft signals the shift toward collaborative, team-based AI in the workplace HR Tech and Adobe highlight orchestration platforms that scale automation across functions Personal AI assistants evolve into full workflow partners for individuals and enterprises The AI-Native Office Suite: How AI Can Do Work For You Sum

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led to a 17% reduction in support costs since early 2025. Benioff stated the company is now reviewing every function for similar automation opportunities, echoing similar moves by Microsoft and Klarna. Why it matters: This is one of the clearest signals yet of AI-driven job displacement at a major enterprise, validating the shift from AI as a productivity tool to an outright workforce replacement for specific operational functions. Source: SHRM Summary: Microsoft has partnered with the US Genera

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he Amazon empire, generating 60% of group profits, and dominating the lucrative Cloud Computing market. But it struggles to translate this strength into the new GPU/XPU Cloud era. Microsoft Azure now leads the market on quarterly new cloud revenue, and the gap between Google Cloud and AWS has materially narrowed especially with Google's big moves on the TPU that we've been posting about for over a month. Markets have noticed. Year-to-date, Amazon is the clear laggard among the four tech-and-AI t

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l for each repo. What are Conditional Prompt Injections? I first described the idea of conditional instructions for prompt injection exploit development a bit over a year ago with Microsoft Copilot, where we sent phishing emails that targeted different users with different attack payloads. The idea is that we leverage information from the system prompt (like a user’s name, job title) to branch off with conditional instructions targeted specifically for that individual. AgentHopper works similarl

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LI; X; FB At Microsoft AI (MAI) we believe AI should be used to empower every person on the planet. We are creating AI for everyone, a supportive, helpful presence always in the service of humanity. It will be the gateway to a universe of knowledge and a set of capabilities that enable people and organizations to achieve more. Responsible, reliable, filled with personality and expertise, we are focused on creating applied AI as a platform for category defining and deeply trusted products that un

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ation during a prompt injection attack by reading sensitive data (e.g. .env file) and appending its contents to the URL of an image. This issue is similar to an issue found in the Microsoft Copilot Chat application last year and that Microsoft promptly fixed. This one in Cline is quite severe as it allows exfiltration of sensitive files on the machine (e.g. .env file) without human approval. Prompt Injection To Image Rendering An image says more than a thousand words, so hopefully for the busy r

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file, all without requiring user approval Attack Vector 2: Image Rendering The second attack vector is quite similar to a vulnerability I found in GitHub Copilot last year, which Microsoft has since fixed. You can read up details here. Image rendering from untrusted domains is actually one of the most common AI application security vulnerabilities to be aware of. We have seen dozens of examples of this vulnerability over the last two+ years. Exploit Demonstration As we have shown with many simi

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Einbinder (DevTools/Puppeteer team) popularizes modern testing with Puppeteer Multi-Browser Standardization Era 2019–early 2020 — Several core Puppeteer engineers leave Google for Microsoft and start Playwright (cross-browser automation/test framework) 🎭 (oooo drama); Jan 31, 2020 — Playwright 0.x public release; May 6, 2020 — Playwright 1.0 ships; Sep–Oct 2020 → — Multi-language support begins (e.g., Playwright for Python announced Sep 30, 2020); 2023 — ChromeDriver adds WebDriver BiDi support

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or also the AI for that matter) to run arbitrary commands on the host without the developer’s consent. The resulting impact of the vulnerability is the same as CVE-2025-53773 that Microsoft fixed in GitHub Copilot, however AWS did not issue a CVE when patching the vulnerabiliy. Let’s explore this in detail. As usual, the first step for me was to dump the system prompt. The Amazon Q VS Code extension has a set of tools defined, including reading files, writing files, and executeBash to run comman

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critical leadership gap where employees are ready for AI transformation but executives underestimate current usage and overestimate barriers to adoption. Source: McKinsey Summary: Microsoft announced that Lumen reduced sales preparation time from four hours to 15 minutes per seller using AI-powered sales interaction summaries and business intelligence. The company projects annual time savings worth $50 million, while BOQ Group reports 70% of employees save 30-60 minutes daily using Microsoft 365

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ng to exfiltrate sensitive information. This vulnerability is common in AI applications and agents, and it’s actually similar to one we discussed last year in GitHub Copilot which Microsoft fixed. Exploit Demonstration For the proof-of-concept I use a pre-existing demo that created a longer time ago. It happened to just work with Amp as well. The prompt injection is hosted on a website which asks the AI to “backup” information to a third-party site by rendering an image and including previous ch

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