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Anthropic, an artificial intelligence research company, has issued a statement addressing concerns about its potential involvement with the U.S. Department of War. The statement emphasizes Anthropic's commitment to beneficial AI development and its intention to remain transparent about its work and collaborations.

Google's researchers have developed a nanoscale device called the Nano Banana that can detect and analyze single molecules. This breakthrough could lead to advancements in fields such as medical diagnostics, environmental monitoring, and materials science.

The article explores the rise of the 'vibe coding' movement, where developers seek to create a positive, collaborative coding environment focused on creativity and personal well-being, rather than just productivity. It discusses the maker movement's influence on this trend and how it challenges traditional software development practices.

The article discusses a new attack called AirSnitch that can break Wi-Fi encryption in homes, offices, and enterprises. It explains how the attack works and the potential implications for the security of wireless networks.

The article discusses IDC's forecast for the global smartphone market, projecting a decline in shipments in 2022 due to economic headwinds, followed by a return to growth in 2023 and beyond. It also highlights the continued dominance of Android and iOS operating systems in the smartphone landscape.

The article discusses the meaning and origin of the term '21' in programming, which typically refers to the error code for an invalid argument or parameter. It explores the historical context and reasons behind this specific error code.

Hey HN - we're Saksham and Ishan, and we’re building Cardboard (https://www.usecardboard.com). It lets you go from raw footage to an edited video by describing what you want in natural language. There’s a demo video at https://www.usecardboard.com/share/fUN2i9ft8B46, and you can try the product out at https://demo.usecardboard.com (no login required!)

People sit on mountains of raw assets - product walkthroughs, customer interviews, travel videos, screen recordings, changelogs, etc. - that could become testimonials, ads, vlogs, launch videos, etc.

Instead they sit in cloud storage / hard drives because getting to a first cut takes hours of scrubbing through the raw footage manually, arranging clips in correct sequence, syncing music, exporting, uploading to a cloud storage to share, and then getting feedback on WhatsApp/iMessage/Slack, then re-doing the same thing again till everyone is happy.

We grew up together and have been friends for 15 years. Saksham creates content on socials with ~250K views/month and kept hitting the wall where editing took longer than creating. Ishan was producing launch videos for HackerRank's all-hands demo days and spent most of his time on cuts and sequencing rather than storytelling. We both felt that while tools like Premiere Pro and DaVinci are powerful, they have a steep learning curve and involve lots of manual labor.

So we built Cardboard. You tell it to "make a 60s recap from this raw footage" or "cut this into a 20s ad" or "beat-sync this to the music I just added" and it proposes a first draft on the timeline that you can refine further.

We built a custom hardware-accelerated renderer on WebCodecs / WebGL2, there’s no server-side rendering, no plugins, everything runs in your browser (client-side). Video understanding tasks go through a series of Cloud VLMs + traditional ML models, and we use third party foundational models for agent orchestration. We also give a dropdown for this to the end user.

We've shipped 13 releases since November (https://www.usecardboard.com/changelog). The editor handles multi-track timelines with keyframe animations, shot detection, beat sync via percussion detection, voiceover generation, voice cloning, background removal, multilingual captions that are spatially aware of subjects in frame, and Premiere Pro/DaVinci/FCP XML exports so you can move projects into your existing tools if you want.

Where we're headed next: real-time collaboration (video git) to avoid inefficient feedback loops, and eventually a prediction engine that learns your editing patterns and suggests the next low entropy actions - similar to how Cursor's tab completion works, but for timeline actions.

We believe that video creation tools today are stuck where developer tools were in the early 2000s: local-first, zero collaboration with really slow feedback loops.

Here are some videos that we made with Cardboard: - https://www.usecardboard.com/share/YYsstWeWE9KI - https://www.usecardboard.com/share/nyT9oj93sm1e - https://www.usecardboard.com/share/xK9mP2vR7nQ4

We would love to hear your thoughts/feedback.

We'll be in the comments all day :)

The article discusses the use of automated license plate readers (ALPRs) by the US Border Patrol along California's highways, raising concerns about privacy and the expansion of surveillance technologies without public oversight.

The article discusses the current state of the United States and the world, highlighting the economic, political, and social challenges facing nations globally. It suggests that the US and other countries are experiencing a period of instability and uncertainty that may have long-lasting impacts.

deff is an interactive Rust TUI for reviewing git diffs side-by-side with syntax highlighting and added/deleted line tinting. It supports keyboard/mouse navigation, vim-style motions, in-diff search (/, n, N), per-file reviewed toggles, and both upstream-based and explicit --base/--head comparisons. It can also include uncommitted + untracked files (--include-uncommitted) so you can review your working tree before committing.

Would love to get some feedback

The article discusses the controversy surrounding Palantir's involvement in providing AI-powered humanitarian aid in Gaza, as well as the banning of several international NGOs and human rights organizations from operating in Israel and the occupied Palestinian territories.

Apple's iPhone and iPad have been approved by NATO to handle classified information, signaling increased trust in Apple's security and encryption capabilities for high-level government and military use.

Netflix has backed out of a deal with Warner Bros. in favor of a new agreement with Paramount, marking a shift in the streaming giant's content strategy as it navigates an increasingly competitive landscape.

The article discusses SynthID, a deep learning model developed by DeepMind that can generate synthetic identity data while preserving statistical properties and privacy. SynthID aims to provide a tool for researchers and organizations to work with sensitive data in a secure and ethical manner.

The article discusses reverse dependency tracking, a technique used to identify the impact of changes in a software project. It explains how reverse dependency tracking can help developers understand the dependencies between components and make informed decisions during software maintenance and refactoring.

The article discusses the Pentagon's efforts to develop and deploy artificial intelligence (AI) systems, with a focus on Anthropic, a startup founded by former Google researchers, and its involvement in the Pentagon's AI projects. It highlights the potential benefits and concerns surrounding the military's use of AI technology.

The article explores the growing divide between the accountability experienced by the elite and the powerful versus the general public, highlighting concerns about the erosion of the rule of law and the consequences for societal trust and stability.

The article discusses the feud between AI company Anthropic and the Pentagon over the development and use of AI technology, highlighting concerns about the Pentagon's influence and control over the technology.

The article explores the reasons why the AI language model Claude has emerged as a powerful tool for coding, highlighting its ability to understand and write code, assist with debugging and optimization, and improve productivity for developers.

The article reveals that the California Attorney General has uncovered an Amazon price-fixing scheme that has been driving up costs for consumers. The investigation alleges that Amazon has been restricting third-party sellers from offering lower prices on other platforms, resulting in higher prices for customers.