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I feel like I got substantial value out of Claude today, and want to document it. I am at the tail end of AI adoption, so I don't expect to say anything particularly useful or novel. However, I am constantly…
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Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
The Mac’s breakthrough was establishing an interface where you could see — and thus discover through visual exploration — not just what you *had* done, but what you *could* do.
Agent-first Python packages for editing Word documents, PowerPoint presentations, and Excel workbooks.
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content ...
Stability Revise is about 18 months old now, and the document editor powering the product has matured into a stable and robust library. Our growing...
Note: Pricing in this article is as of September 2026. TypeSafe lists Jev at $0.042 per million input tokens with output tokens free, and every cost figure below is worked out from that. Check the TypeSafe docs for…
<blockquote> <p>The Portable Document Format, better known as PDF, is one of the most widely used document formats worldwide, and in order to ensure information confidentiality, this file format supports document encryption. In this paper, we analyze PDF encryption and show two novel techniques for breaking the confidentiality of encrypted documents. First, we abuse the PDF feature of partially encrypted documents to wrap the encrypted part of the document within attacker-controlled content and therefore, exfiltrate the plaintext once the document is opened by a legitimate user. Second, we abuse a flaw in the PDF encryption specification to arbitrarily manipulate encrypted content. The only requirement is that a single block of known plaintext is needed, and we show that this is fulfilled by design. Our attacks allow the recovery of the entire plaintext of encrypted documents by using exfiltration channels which are based on standard compliant PDF properties.</p> </blockquote>
Frontier AI models were supposed to replace document processing. Instead, the category is growing as enterprises demand more precise, traceable, and reliable data extraction.
This document describes the security content of macOS Sequoia 15.8.1.
The Task This document represents a supporting chapter in our Report on the State of Scholarship in the Humanities and the Humanistic Social Sciences. Our interdisciplinary panel was charged with assessing the…