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The article discusses the increasing trend of device verification, where users are required to authenticate their devices before accessing certain services or features. It highlights the growing importance of device verification as a security measure to protect against fraud and unauthorized access.

The National Transportation Safety Board (NTSB) announced the opening of a public docket for its investigation into the 2022 plane crash in Pokhara, Nepal, which killed all 72 people on board. The docket contains factual information gathered during the ongoing investigation, which aims to determine the probable cause of the accident and identify any safety issues that need to be addressed.

The European Union is introducing new AI regulations, known as the AI Act, which aims to establish guidelines for the development and use of AI systems. The proposed changes would expand the scope and enforcement of the EU's existing data privacy law, the General Data Protection Regulation (GDPR).

Researchers have discovered a major security vulnerability in WhatsApp that could allow attackers to gain access to user accounts through a malicious video file. The vulnerability highlights the need for continued security improvements in popular messaging apps.

The article examines the influential role the BBC has played in shaping historical narratives and public understanding of the past through its programming and coverage over the decades. It explores how the BBC's approach to presenting history has evolved and the ongoing debates around its impact on how history is perceived and interpreted.

The article discusses the development of GPT-5, a powerful AI language model released by OpenAI, and its capabilities in areas like code generation, task automation, and natural language understanding.

This article explores the complex relationship between the CIA and the literary journal The Paris Review, revealing the agency's involvement in funding the magazine during the Cold War era as part of its cultural propaganda efforts to counter Soviet influence.

The article discusses a surprising behavior of the shebang line in Unix-like systems, where a relative path in the shebang can lead to unexpected script execution, potentially causing security issues. It highlights the importance of using absolute paths in the shebang line to ensure consistent and secure script execution.

The article explores Robert Louis Stevenson's perspectives on the art of living and dying, emphasizing his views on embracing life's uncertainties, finding purpose in the face of mortality, and maintaining a positive outlook in the face of adversity.

Hey HN! We’re Adish & Kyle from Mosaic (https://edit.mosaic.so, https://docs.mosaic.so/, https://mosaic.so). Mosaic lets you create and run your own multimodal video editing agents in a node-based canvas. It’s different from traditional video editing tools in two ways: (1) the user interface and (2) the visual intelligence built into our agent.

We were engineers at Tesla and one day had a fun idea to make a YouTube video of Cybertrucks in Palo Alto. We recorded hours of cars driving by, but got stuck on how to scrub through all this raw footage to edit it down to just the Cybertrucks.

We got frustrated trying to accomplish simple tasks in video editors like DaVinci Resolve and Adobe Premiere Pro. Features are hidden behind menus, buttons, and icons, and we often found ourselves Googling or asking ChatGPT how to do certain edits.

We thought that surely now, with multimodal AI, we could accelerate this process. Better yet, an AI video editor could automatically apply edits based off what it sees and hears in your video. The idea quickly snowballed and we began our side quest to build “Cursor for Video Editing”.

We put together a prototype and to our amazement, it was able to analyze and add text overlays based on what it saw or heard in the video. We could now automate our Cybertruck counting with a single chat prompt. That prototype is shown here: https://www.youtube.com/watch?v=GXr7q7Dl9X0.

After that, we spent a chunk of time building our own timeline-based video editor and making our multimodal copilot powerful and stateful. In natural language, we could now ask chat to help with AI asset generation, enhancements, searching through assets, and automatically applying edits like dynamic text overlays. That version is shown here: https://youtu.be/X4ki-QEwN40.

After talking to users though, we realized that the chat UX has limitations for video: (1) the longer the video, the more time it takes to process. Users have to wait too long between chat responses. (2) Users have set workflows that they use across video projects. Especially for people who have to produce a lot of content, the chat interface is a bottleneck rather than an accelerant.

That took us back to first principles to rethink what a “non-linear editor” really means. The result: a node-based canvas which enables you to create and run your own multimodal video editing agents. https://screen.studio/share/SP7DItVD.

Each tile in the canvas represents a video editing operation and is configurable, so you still have creative control. You can also branch and run edits in parallel, creating multiple variants from the same raw footage to A/B test different prompts, models, and workflows. In the canvas, you can see inline how your content evolves as the agent goes through each step.

The idea is that canvas will run your video editing on autopilot, and get you 80-90% of the way there. Then you can adjust and modify it in an inline timeline editor. We support exporting your timeline state out to traditional editing tools like DaVinci Resolve, Adobe Premiere Pro, and Final Cut Pro.

We’ve also used multimodal AI to build in visual understanding and intelligence. This gives our system a deep understanding of video concepts, emotions, actions, spoken word, light levels, shot types.

We’re doing a ton of additional processing in our pipeline, such as saliency analysis, audio analysis, and determining objects of significance—all to help guide the best edit. These are things that we as human editors internalize so deeply we may not think twice about it, but reverse-engineering the process to build it into the AI agent has been an interesting challenge.

Some of our analysis findings: Optimal Safe Rectangles: https://assets.frameapp.ai/mosaicresearchimage1.png Video Analysis: https://assets.frameapp.ai/mosaicresearchimage2.png Saliency Analysis: https://assets.frameapp.ai/mosaicresearchimage3.png Mean Movement Analysis: https://assets.frameapp.ai/mosaicresearchimage4.png

Use cases for editing include: - Removing bad takes or creating script-based cuts from videos / talking-heads - Repurposing longer-form videos into clips, shorts, and reels (e.g. podcasts, webinars, interviews) - Creating sizzle reels or montages from one or many input videos - Creating assembly edits and rough cuts from one or many input videos - Optimizing content for various social media platforms (reframing, captions, etc.) - Dubbing content with voice cloning and lip syncing.

We also support use cases for generating content such as motion graphic animations, cinematic captions, AI UGC content, adding contextual AI-generated B-Rolls to existing content, or modifying existing video footage (changing lighting, applying VFX).

Currently, our canvas can be used to build repeatable agentic workflows, but we’re working on a fully autonomous agent which will be able to do things like: style transfer using existing video content, define its own editing sequence / workflow without needing a canvas, do research and pull assets from web references, and so on.

You can try it today at https://edit.mosaic.so. You can sign up for free and get started playing with the interface by uploading videos, making workflows on the canvas, and editing them in the timeline editor. We do paywall node runs to help cover model costs. Our API docs are at https://docs.mosaic.so. We’d love to hear your feedback!

https://archive.md/8R0Fq

The article explores the true purpose of artificial intelligence (AI), arguing that it should be used to enhance and empower human capabilities, not replace them. It emphasizes the importance of developing AI systems that work in partnership with humans to solve complex problems and improve quality of life.

The article explains the working principle of a slide rule, a mechanical analog calculator used for rapid computations before the advent of electronic calculators. It describes the scale design and the different operations, such as multiplication, division, and trigonometric functions, that can be performed using the slide rule.

The article discusses the potential for AI models to be 'jailbroken' to engage in unintended behavior, such as phishing. It explores the implications and risks of this possibility, highlighting the importance of robust security measures and ongoing vigilance in the development and deployment of AI systems.

https://www.nytimes.com/2025/11/19/technology/larry-summers-..., https://archive.ph/ASfq6

The article explores the experience of switching to a Linux-based gaming desktop, highlighting the advantages of the CachyOS distribution, which offers improved performance and compatibility for gaming compared to other Linux distros.

The popular email client Thunderbird has added native support for Microsoft Exchange, allowing users to directly connect to and manage their Exchange-based email accounts within the Thunderbird interface. This update aims to provide a more seamless experience for Thunderbird users who rely on Microsoft's email and collaboration services.

The article discusses setting up static web hosting on various operating systems, including FreeBSD, SmartOS, NetBSD, OpenBSD, and Linux, using an Intel N150 processor. It provides steps and configuration details for each platform to help readers set up their own web hosting environments.

The article discusses the U.S. Patent and Trademark Office's proposal to make it harder to challenge bad patents, potentially allowing invalid patents to remain in force and stifling innovation. The author argues that this change would undermine the patent system's purpose and negatively impact the public.

Vortex is an open-source data processing and analysis framework that provides a flexible and scalable platform for working with structured and unstructured data. It offers a set of tools and libraries for data ingestion, transformation, storage, and querying, allowing users to build and deploy complex data pipelines.

The article describes the development of a Rust-based GPU kernel driver that enables racing kart simulations to run on the GPU, providing better performance and graphics compared to CPU-based approaches. It highlights the advantages of using Rust for kernel development, such as improved safety and concurrency.

The article discusses the concept of 'blame' and how it can be a harmful and unproductive mindset. It suggests shifting towards a more constructive approach that focuses on understanding, problem-solving, and personal growth rather than assigning blame.

The article discusses Microsoft's AI CEO's response to recent criticism of Windows' AI features, stating that the public's lack of enthusiasm over these advancements is 'mindblowing' to him.

The article discusses Anthropic's commitment to political even-handedness, emphasizing their belief in fostering open and balanced discourse, and their efforts to avoid partisan bias in their work.

The article explores the challenges of maintaining sanity and well-being in a world that often rewards behaviors that may be detrimental to one's mental health. It offers strategies for finding balance and cultivating a mindset that prioritizes self-care and personal growth.

The article discusses the benefits of using branching environments to manage Personally Identifiable Information (PII) data in a secure and compliant manner, including improved data privacy, reduced risk of data breaches, and enhanced collaboration capabilities.