Say More Look Up Top creators, ranked Gift Ideas For Everyone On Your List Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Mashable Selects In My Bag AI at School Safety Net Versus Trending Now All Series Updates to Full Disk Access are coming to your Mac. Matt Binder joined Mashable's tech vertical in 2018, where he covers social media, tech policy, cybersecurity, online scams, cryptocurrency, AI, creator news, weird tech, and other related tech beats. Apple is going to roll out update to Full Disk Access as a result of AI agents. Apple has just been forced to respond to the flurry of AI agent apps, like Meta's Muse, which are accessing Mac users' private data. According to Apple, the company will soon release additional controls to Full Disk Access, which will explicitly ask Mac users if they'd like to grant a third-party access to a specific part of their system.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Mashable Selects In My Bag Look Up Say More AI at School Safety Net Versus Trending Now Back to School Good Connection: Uplifting stories for a digital age All Series The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. A lifetime subscription to PDF Expert Premium for Mac is $79.99 (reg. PDFs are easy to open and hard to change.

When you purchase through links in our articles, we may earn a small commission. There's a straightforward way to run a full Windows 11 installation on a Mac Windows 11 Pro installs inside Parallels Desktop, VMware Fusion, or a Boot Camp partition just as it would on a physical PC, and a lifetime license is on sale for $9.97 (reg. Running Windows 11 Pro instead of Home matters even in a virtual machine because Pro includes the security and business features that many work and school accounts require. A Windows partition used for a specific app, such as a finance tool or an older piece of software, still benefits from that extra layer of security without requiring a second physical machine. What's included with the Windows 11 Pro license BitLocker locks down the drive with full-disk encryption, whether the install is virtual or physical.

Good Connection: Uplifting stories for a digital age Creator Playbook Trending Now Say More Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Mashable Voices Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List All Series The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. Subscriptions have their place, but productivity software doesn't really need to be one of them -- especially when it's something as familiar and widely used as Microsoft Office . Somewhere along the way, there must have been a glitch in the matrix, because buying software quietly turned into renting it forever.

Back in February, debuted Perplexity Computer. Like Claude Cowork, it's a suite of AI agents that can autonomously complete tasks using the web, as well as files and apps on your PC. Since then, the platform has evolved to encompass a few different products, including Personal Computer for the Mac, and today Perplexity is announcing yet offshoot called Hybrid Compute. The new tools allows you to split a task between a frontier, cloud-based model like Opus 5 or GPT-5.6 Sol and a local LLM running on your computer -- the idea being that the local model can handle any sensitive information so that it remains safe and secure on your machine. Perplexity suggests a few different use cases where Hybrid Compute would be a good fit. For instance, a lawyer might want to prepare a brief that compares the case they're working on against existing case law.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series Apple's latest macOS update consists of a single patch to deal with a critical exploit. Apple has released a critical security update for macOS that patches a Screen Share-related vulnerability. Mac users, if you haven't updated your MacBook or desktop Mac computer in the last week or so, install that latest update now. The most recent Mac update from Apple includes a patch for a major vulnerability that could allow an attacker to take over a targeted Mac. The exploit involves an authentication bug in Mac's Screen Share functionality, Ars Technica reported .

Due to the rapid generation and dissemination of information, large language models (LLMs) quickly run out of date despite enormous development costs. To address the crucial need to keep models updated, online learning has emerged as a critical tool when utilizing LLMs for real-world applications. However, given the ever-expanding corpus of unseen documents and the large parameter space of modern LLMs, efficient adaptation is essential. To address these challenges, we propose Memory of Amortized Contexts (MAC), an efficient and effective online adaptation framework for LLMs with strong knowledge retention. We propose a feature extraction and memory-augmentation approach to compress and extract information from new documents into compact modulations stored in a memory bank.

Abstract-- Long-term state estimation over graphs remains challenging as current graph estimation methods scale poorly on large, long-term graphs. T o address this, our work advances a current state-of-the-art graph sparsification algorithm, maximizing algebraic connectivity (MAC). MAC is a sparsification method that preserves estimation performance by maximizing the algebraic connectivity, a spectral graph property that is directly connected to the estimation error . Unfortunately, MAC remains computationally prohibitive for online use and requires users to manually pre-specify a connectivity-preserving edge set. Our contributions close these gaps along three complementary fronts: we develop a specialized solver for algebraic connectivity that yields an average 2x runtime speedup; we investigate advanced step size strategies for MAC's optimization procedure to enhance both convergence speed and solution quality; and we propose automatic schemes that guarantee graph connectivity without requiring manual specification of edges. T ogether, these contributions make MAC more scalable, reliable, and suitable for real-time estimation applications. The scalability of state estimation and perception remains a critical challenge for long-term autonomous robotic systems.

Understanding the decision-making processes of large language models (LLMs) is essential for their trustworthy development and deployment. However, current interpretability methods often face challenges such as low resolution and high computational cost. To address these limitations, we propose the \textbf{Multi-Layer Attention Consistency Score (MACS)}, a novel, lightweight, and easily deployable heuristic for estimating the importance of input tokens in decoder-based models. MACS measures contributions of input tokens based on the consistency of maximal attention. Empirical evaluations demonstrate that MACS achieves a favorable trade-off between interpretability quality and computational efficiency, showing faithfulness comparable to complex techniques with a 22\% decrease in VRAM usage and 30\% reduction in latency.