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Dead by Daylight, Two Point Museum, and more join Xbox Free Play Days for the weekend
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By sphbecker · Posted
When I think about a network, there are really two aspects, the hardware and the wiring. So here is what I would do for both. Wiring: Use Cat6A for the patch panel and all structured cables (cables installed in walls). Run plenty of Wireless Access Point (WAP) cables, as a general rule, assume a signal can only pass through 2-3 walls and can't pass through a floor (that is conservative, but trust me on this if you want strong WiFi) Cat6 patch cables are fine for now if you don't plan to run 10gig, those are easy to replace later if needed. Run OS2 single-mode fiber to anywhere you think you may have a server or sub-switch. (yes, single-mode for everything on a small network, don't mess with multimode unless you have entire racks of servers and that minor module cost and power savings will matter). If you really want to future proof, also run fiber to any high density WAP locations, it is likely that WiFi 8 WAPs will push the limits of 10g. Run 6-12 pairs of single-mode fiber between your MDF and the building's MDF, even if you only need 1 or 2 pairs now, those extra pairs will pay off down the road. Hardware: (its easy to say "get all the features incase you need them", so instead of futureproofing, I am going to take approach of suggesting areas worth investing in, and areas you can save money). Don't overspend thinking you need every feature on every port. You don't need 10g on every port, you don't need PoE on every port. Don't overspend on redundancy either, unless you are ready to buy two of everything, don't waste money buying two of some things and not others. Dual power supplies are worthwhile, but probably not HA or multi-path redundancy. Get 1 "distribution layer" switch that your router/firewall will connect to, your access layer switches. This should be a 10g switch with a combination of copper and SPF ports and should be a fully managed switch. Given that you said it is a small network, I suggest also using that distribution layer switch for servers and WAPs, meaning it will need PoE. Speaking of wireless, get good professional tri-band WAPs, and either turn on the band stirring options, or limit 2.4 to an IoT only SSID. This will provide a solid WiFi capable nearly everything but the highest of bandwidth clients...you could even consider skipping wiring workstations depending on usage. Access layer switch for workstations and printers can be cheaper switches, 2.5g is a good sweet spot between price and future proofing, but even 1g is fine for most individual clients (the kind that could probably be fine on WiFi). You can consider saving a little on access layer switches by only getting 1 PoE switch for whatever needs it (remember your WAPs are connecting to the distribution switch, not here), and non-PoE for your workstations, because desk phones are falling out of favor. You can also save money here by not buying managed switches if you don't need them--but really do some soul searching there, if you go this route, then anything that isn't on your workstation VLAN would either need to be connected to the distribution switch, or its own switch. Also, don't feel like you need a fancy fabric stacking switches for your access layer, that is the point of the higher-end distribution layer, to remove the need for things like that at this level. Home Hardware: I'm realizing the above assumed an office setting, if this if for your house and home lab then the above still applies, but you'll probably want everything managed and PoE, just because, but you probably also don't need multiple access layer switches. if your total port count is below 24, just skip separating distribution layer and access layer and just get one nice switch with the features you want. For home use, don't worry about home running every device to the main switch, there is nothing wrong with running sub-switches for your media areas and office, those essentially become your access layer, just look for sub-switches with a 10g uplink so sharing bandwidth isn't an issue. -
By Karthik Mudaliar · Posted
Google Meet brings Gemini note-taking to AI Pro and Ultra subscribers by Karthik Mudaliar Google's Gemini-powered "Take notes for me" feature inside Google Meet is now available to Google AI Pro and Ultra subscribers. The features work on Google Meet for web as well as on mobile, and Google says that subscribers can use it for meetings they host in many supported languages. As the name suggests, "Take notes for me" allows Gemini to listen to a meeting, generate a summary, identify action items, and save the notes as a Google Doc in the user’s Drive. After the meeting, the organizer receives an email recap with the summary and action items, while the notes can also be attached to the related Calendar event depending on the meeting setup and sharing settings. The feature isn't automatically turned on for everyone, though. Google says that all meeting participants are notified when note-taking is turned on, and users can start it from the pencil icon in Meet or enable it for future calls through Meet’s meeting records settings. For work or school accounts, administrators can also control whether the feature is available and may require explicit participant consent for note-taking, recording, or transcription features. The feature first launched back in 2024, when it was available just for selected Workspace users. Over the years, Google added refinements and more options, including the ability to enable it when scheduling meetings via Google Calendar. Google's support docs say that the feature currently supports English, French, German, Italian, Japanese, Korean, Portuguese, and Spanish, but only one language at a time. Meetings with multiple spoken languages are not currently supported, and Google recommends using the tool for meetings between 15 minutes and eight hours. The new feature makes Google Meet closer to its rivals that have AI tools already built in. Microsoft Teams has recently started offering Copilot and intelligent recap features that summarize meetings, surface highlights, and help with follow-ups, while Zoom’s AI Companion can also generate meeting summaries from desktop and mobile meetings. -
By Copernic · Posted
GnuCash 5.16 by Razvan Serea GnuCash is a personal and small business finance application, freely licensed under the GNU GPL and available for GNU/Linux, BSD, Solaris, Mac OS X and Microsoft Windows. It’s designed to be easy to use, yet powerful and flexible. GnuCash allows you to track your income and expenses, reconcile bank accounts, monitor stock portfolios and manage your small business finances. It is based on professional accounting principles to ensure balanced books and accurate reports. GnuCash can keep track of your personal finances in as much detail as you prefer. If you are just starting out, use GnuCash to keep track of your checkbook. You may then decide to track cash as well as credit card purchases to better determine where your money is being spent. When you start investing, you can use GnuCash to help monitor your portfolio. Buying a vehicle or a home? GnuCash will help you plan the investment and track loan payments. If your financial records span the globe, GnuCash provides all the multiple-currency support you need. Between 5.15 and 5.16, the following bugfixes were accomplished: Bug 421610 - RFE: Include logical dates for View->Filter by "date range"The Select Range section of the Date tab of the register's Filter By dialog box is changed to provide relative, specific date, or days ago options for the start and end of the filter range. The Show number of days item label is changed to Show from days ago to better reflect what it does. Bug 436105 - esc key not working as expected in register: Enable the escape key to cancel a field edit. Bug 797384 - Gnucash doesn't handle commodity prices with big numerator/denominator properly. Bug 798004 - Next gen UI for stock transactions Bug 799314 - Add "enter now" option in scheduled transaction editor. tab to allow users to select the scheduled transactions to be included in a “Since Last Run…” window. If there are no instances of a selected transaction triggered by today’s date, the next instance is triggered. Bug 799751 - autocomplete crash Bug 799759 - Users can't Enable entries via Checkboxes on Scheduled Transactions PageAllow the Enabled box in the list of scheduled transactions to be operated instead of having to open the transaction editor dialog and change the Enabled checkbox. Also added use of the Name column as the secondary column sort for all the other columns. Bug 799762 - Poor handling of cases where hidden/placeholder accounts are used in the account register Bug 799766 - Double line preference not respected in search register Bug 799767 - POST /accounts in bindings/python/example_scripts/rest-api is broken Bug 799777 - `xaccSplitSetParent`: reparenting a committed split silently drops its KVP slots (online_id, cap-gains links) Other changes & improvements: Numeric values may now be selected to copy in the Accounts page. Add new Finance::Quote source Finnhub.io: Free API key (personal/non-professional use) available at https://finnhub.io. Set FINNHUB_API_KEY environment variable to API key to use this source. As of June 2026, free tier API limit is 60 API calls/minute. The Investment Lots report has new optional columns for Computed Annual Growth Rate. Python Bindings: Improved translation of primary object (Account, Transaction, Split, etc.) so that they can be treated as normal Python objects. This is accomplished with SWIG magic so no existing code is obsoleted. Python Bindings: Better conversion of GLists to Python lists. Python Bindings: Destroy the QofSession in the Python Session dtor to prevent leaving the database locked. [engine] Add first-class online_id accessors for Split and Account and make them available to Python bindings, removing the unused Transaction online_id property. Improve C++ implementation of QofBook. Correct the Doxygen doc for qof_instance_get/set_kvp. [gnc-log-replay.cpp] fix incorrect guid dump Add some Boost library requirements needed by libgnucash-guile to CMakeLists.txt so that missing feature will fail at configure time. Use Compile-time Regular Expressions instead of std::regex in gnc-filepath-utils.cpp and instead of boost::regex in the CSV importer, with the CTRE v3.11.1 header added to borrowed [gnc-filepath-utils.cpp] null check char* arguments Add ChartJS licenses. Removed AEX from list of commodities. euronext.com is now using JS based anti-webscraping. [report-core] always offer options summary in reports. This is useful to debug reports. The Add options summary option is removed because it's no longer optional. Remove remaining obsolete IMContext from sheet Fix blurry text in HiDPI offscreen-rendered widgets Add port field to database connection dialog: The convention of appending the port number after the host isn't obvious. When editing a split in the register treat the account as being changed only if it isn't the one selected before editing instead of if the user performed an edit Return immediately from qof_book_destroy if hash_of_collections is null. If qof_book_destroy is called on a QofBook* freshly created with qof_book_new (usually because it was used to create a session that now must be destroyed) it would try to empty the non-existent hash tables, crashing. Clean up Flathub metadata to solve warnings at flatpak build time. Be consistent in naming GncPluginPage and GncPluginPageRegister HTML: Remove unimplemented function declarations. [gnc-html.cpp] remove unused buggy string conversion functions Convert libgnc-html to C++ Apply -Wall -Werr -Wmissing-prototypes to C++ compilation on Windows and fix the resulting errors. New and Updated Translations: Arabic, Croatian, Danish, Dutch, German, Finnish, Hungarian, Korean, Norwegian-Bokmal, Spanish Download: GnuCash 5.16 | 176.0 MB (Open Source) Links: GnuCash Home page | Other Operating Systems | Screenshot Get alerted to all of our Software updates on Twitter at @NeowinSoftware -
By David Uzondu · Posted
Microsoft finally launches WSL Containers in public preview by David Uzondu Microsoft has announced that WSL containers, a feature that allows developers to run Linux containers natively inside Windows without the need for Docker Desktop, is now available in public preview several weeks after Microsoft previewed it at Build 2026. To use the new container feature, you first have to install the latest pre-release version of the Windows Subsystem for Linux by running a quick update command in your terminal: wsl --update --pre-release After installing, you'd get access to the new Linux container CLI (wslc.exe) and the programmable API. Microsoft said that the CLI has a "familiar format" that matches the toolsets developers already use every day. If you know standard Docker commands, your muscle memory will translate directly to wslc.exe, which even features a built-in alias called container.exe. You can quickly run a full Ubuntu KDE desktop container by exposing ports, or pass your graphics card straight into a machine learning environment to run PyTorch workloads. Passing the --gpus all flag inside the run command instantly links your hardware. Image via Microsoft As for the API, developers can now embed Linux container operations directly inside native Windows applications without exposing the command line to users. The team integrated the API directly into MSBuild and CMake, so developers can define container steps directly in project files. Apart from bringing the CLI and API into public preview, Microsoft also said that it's working on a new default file system called virtiofs to speed up file transfer rates between Windows and Linux. Microsoft also introduced an experimental networking mode named consomme, which resolves compatibility issues with corporate VPNs by routing Linux network traffic straight through Windows. One thing to note about WSL containers is that they don't run in your standard WSL distributions; instead, every application and CLI session spawns its own lightweight Hyper-V utility VM in the background. This basically reduces the chances of one app snooping on the container of another app. -
By Karthik Mudaliar · Posted
Google reportedly limited Meta's Gemini access over limited AI compute by Karthik Mudaliar Google is reportedly limiting Meta's use of its Gemini AI models after Meta tried buying more computing capacity than even Google could supply. According to the Financial Times, Google told Meta in March that it could not provide the full Gemini capacity that Meta had requested. This shortfall even disrupted and delayed some of Meta's internal projects. Due to this, Meta even told its employees internally to use AI tokens more efficiently. Meta wasn't the only one to get hit by this sudden refusal by Google; even other customers were affected. But Meta was hit harder because of its unusually high demand for Google's models. The move from Google makes it evident that companies all over are in limited supply of both infrastructure and compute. Alphabet said in April that Google Cloud revenue grew 63% year-over-year to $20 billion in the first quarter, helped by enterprise AI infrastructure and AI solutions. In pursuit of more compute, Meta had earlier signed a multi-billion-dollar AWS agreement as well as a large AMD GPU deal for AI data centers. But the crunch would be short-lived as both Meta and Google have also ramped up infrastructure investments heavily. Meta said in November that it was committing more than $600 billion in the U.S. by 2028 for AI technology, infrastructure, and workforce expansion. In the first quarter of this year, Meta also raised its expected capital expenditure for 2026 to a range of $125 billion to $145 billion, citing higher component pricing and additional data center costs for future capacity. However, this doesn't make the company immune to the current dependence on outside suppliers. Meta has also spent many years promoting Llama as an open-weight alternative to closed models from Google, OpenAI, and Anthropic. But if the reported reliance on Google's Gemini models is severe enough for internal work to get impacted, then it looks like even frontier labs and Big Tech aren't fully self-sufficient. Source: Financial Times
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