reporter

The new collaboration offers Prime members another way to game.View the full article

Google wants you to use its experimental GenTabs feature to plan your next trip.View the full article

Google Labs is testing a product that will work with your browser tabs to make web apps for you. View the full article

The ChatGPT-maker is releasing its “best model yet” as it faces new pressures from Google and other AI competitors.View the full article

Add a smart lock to your front door to upgrade your home security and simplify holiday hosting this season. Here are the best options I've tested.View the full article

And when it does, the AI assistant will roll out to every existing EV in its lineup, not just the next-generation versions of its R1T truck and R1S SUV. View the full article

Milly Alcock plays the heroine, Superman's cousin, and Krypto the Superdog is back.View the full article

CEO RJ Scaringe laid out his plan for how Rivian's vehicles will increasingly drive themselves, in a bid to match or exceed the capabilities of rival automakers and AV companies.View the full article

Unai Emery's men go in search of a fifth win in the group phase as they travel to Switzerland.View the full article

Wilfried Nancy takes charge of his first European game for the Hoops as they welcome the Italian giants to Glasgow.View the full article

Runway debuts a physics-aware world model that simulates reality to train agents and power video, robotics and avatar applications.View the full article

At the same time, Disney has a new partnership to let OpenAI use its characters in its AI video tool.View the full article

Disney is hedging against the future. OpenAI is clearing a path for Sora. And together they've made a blueprint for how AI and Hollywood can move forward.View the full article

Apple seeded the second iOS 26.2 Release Candidate to developers earlier this week, meaning the update will be released to the general public very soon. Apple confirmed iOS 26.2 would be released in December, but it did not provide a specific date. We expect the update to be released by early next week. iOS 26.2 includes a handful of new features and changes on the iPhone, such as a new Liquid Glass slider for the Lock Screen's clock, offline lyrics in Apple Music, and more. Below, we have highlighted eight new features in particular. Liquid Glass Slider on Lock Screen A new slider in the Lock Screen customization menu lets you adjust the opacity of Liquid Glass for the clock, allowing you to decide how clear or frosted it appears. This comes after iOS 26.1 added "Clear" and "Tinted" options for Liquid Glass overall. Offline Lyrics in Apple Music iOS 26.2 adds offline lyric support to Apple Music, allowing you to view a song's lyrics even when you are not connected to a Wi-Fi or cellular network. Sleep Score Revisions iOS 26.2 and watchOS 26.2 have revised Sleep Score ranges: Very Low: 0-40 (previously 0-29) Low: 41-60 (previously 30-49) OK: 61-80 (previously 50-69) High: 81-95 (previously 70-89) Very High: 96-100 (previously 90-100)Apple says sleep scores are calculated based on how long you slept, the consistency of when you fell asleep, and the frequency and duration of waking up during the night. The feature is available in the Health app on all iPhone models compatible with iOS 26, and in the Sleep app on all Apple Watch models compatible with watchOS 26. Alarms for Reminders iOS 26.2 lets you set alarms for reminders in Apple's Reminders app. When adding a reminder, selecting a time and then toggling on the "Urgent" option will cause an alarm to go off at the designated time. Apple Podcasts Enhancements Apple's Podcasts app has three new features on iOS 26.2, including automatic chapters for episodes, timed links on the screen, and the ability to view other podcasts that a podcast mentions right from the audio player and the transcript. Apple News Revamp In the Apple News app, there is now a dedicated "Following" tab, and buttons for quick access to topics like sports, puzzles, politics, business, and food. iPhone Screen Flash for Notifications Starting with iOS 26.2, your iPhone's screen can flash when you receive a notification. Previously, this setting was limited to the LED camera flash on the back of the iPhone. In the Settings app, under Accessibility → Audio & Visual → Flash for Alerts, there are now options for LED Flash, Screen, and Both. Or, you can keep the setting turned off. AirPods Live Translation in EU iOS 26.2 makes Live Translation on AirPods available in the EU. Live Translation allows you to understand someone who is speaking a different language than you. For example, if you speak English, and someone is speaking to you in French, Siri can tell you what they are saying in English through your AirPods. The feature works best when both participants in a conversation are using Live Translation on AirPods. If you are talking with someone who is not wearing AirPods, you can display a live transcription in the other person's language on your iPhone. Live Translation is available on the AirPods Pro 3, AirPods Pro 2, and higher-end AirPods 4 with Active Noise Cancellation. The feature launched in the U.S. and select other countries with iOS 26, but it was not available in the EU until iOS 26.2, as Apple said it needed additional time to ensure compliance with the EU's Digital Markets Act. iOS 26: Use Live Translation With AirPods In addition to compatible AirPods, users need an iPhone 15 Pro or newer with Apple Intelligence turned on and Apple's Translate app installed. As of iOS 26.1, Live Translation on AirPods supports the following languages: English (U.S.) English (U.K.) French (France) German (Germany) Portuguese (Brazil) Spanish (Spain) Chinese — Simplified (China) Chinese — Traditional (China) Japanese Korean Italian iOS 26 also has a built-in Live Translation feature in the Messages, Phone, and FaceTime apps, with no AirPods required.Related Roundups: iOS 26, iPadOS 26Related Forum: iOS 26 This article, "iOS 26.2 Coming Soon With These 8 New Features on Your iPhone" first appeared on MacRumors.com Discuss this article in our forums View the full article

From headphones to consoles, controllers and gaming keyboards, here are the top gifts to surprise the gamer in your life this holiday season.View the full article

Venture capitalists Ross Fubini (XYZ Ventures) and Leslie Feinzaig (Graham & Walker Ventures) pull back the curtain on how VCs build their own go-to-market strategies — not just how they evaluate startups, but also how they win over LPs and founders alike. In this episode of Build Mode, they share hard-won lessons from raising their […]View the full article

The 100-watt speaker has onboard Bluetooth and Ethernet.View the full article

These XR glasses are a theme park experience waiting to happen. I checked out Disney-backed startup Liminal Space's tech in person.View the full article

Great news for Windows developers working with AI models: Docker Model Runner now supports vLLM on Docker Desktop for Windows with WSL2 and NVIDIA GPUs! Until now, vLLM support in Docker Model Runner was limited to Docker Engine on Linux. With this update, Windows developers can take advantage of vLLM’s high-throughput inference capabilities directly through Docker Desktop, leveraging their NVIDIA GPUs for accelerated local AI development. What is Docker Model Runner? For those who haven’t tried it yet, Docker Model Runner is our new “it just works” experience for running generative AI models. Our goal is to make running a model as simple as running a container. Here’s what makes it great: Simple UX: We’ve streamlined the process down to a single, intuitive command: docker model run <model-name>. Broad GPU Support: While we started with NVIDIA, we’ve recently added Vulkan support. This is a big deal—it means Model Runner works on pretty much any modern GPU, including AMD and Intel, making AI accessible to more developers than ever. vLLM: Perform high-throughput inference with an NVIDIA GPU What is vLLM? vLLM is a high-throughput inference engine for large language models. It’s designed for efficient memory management of the KV cache and excels at handling concurrent requests with impressive performance. If you’re building AI applications that need to serve multiple requests or require high-throughput inference, vLLM is an excellent choice. Learn more here. Prerequisites Before getting started, make sure you have the prerequisites for GPU support: Docker Desktop for Windows (starting with Docker Desktop 4.54) WSL2 backend enabled in Docker Desktop NVIDIA GPU with updated drivers GPU support configured in Docker Desktop Getting Started Step 1: Enable Docker Model Runner First, ensure Docker Model Runner is enabled in Docker Desktop. You can do this through the Docker Desktop settings or via the command line: docker desktop enable model-runner --tcp 12434 Step 2: Install the vLLM Backend In order to be able to use vLLM, install the vLLM runner with CUDA support: docker model install-runner --backend vllm --gpu cuda Step 3: Verify the Installation Check that both inference engines are running: docker model install-runner --backend vllm --gpu cuda You should see output similar to: Docker Model Runner is running Status: llama.cpp: running llama.cpp version: c22473b vllm: running vllm version: 0.12.0 Step 4: Run a Model with vLLM Now you can pull and run models optimized for vLLM. Models with the -vllm suffix on Docker Hub are packaged for vLLM: docker model run ai/smollm2-vllm "Tell me about Docker." Troubleshooting Tips GPU Memory Issues If you encounter an error like: ValueError: Free memory on device (6.96/8.0 GiB) on startup is less than desired GPU memory utilization (0.9, 7.2 GiB). You can configure the GPU memory utilization for a specific mode: docker model configure --gpu-memory-utilization 0.7 ai/smollm2-vllm This reduces the memory footprint, allowing the model to run alongside other GPU workloads. Why This Matters This update brings several benefits for Windows developers: Production parity: Test with the same inference engine you’ll use in production Unified workflow: Stay within the Docker ecosystem you already know Local development: Keep your data private and reduce API costs during development How You Can Get Involved The strength of Docker Model Runner lies in its community, and there’s always room to grow. We need your help to make this project the best it can be. To get involved, you can: Star the repository: Show your support and help us gain visibility by starring the Docker Model Runner repo. Contribute your ideas: Have an idea for a new feature or a bug fix? Create an issue to discuss it. Or fork the repository, make your changes, and submit a pull request. We’re excited to see what ideas you have! Spread the word: Tell your friends, colleagues, and anyone else who might be interested in running AI models with Docker. We’re incredibly excited about this new chapter for Docker Model Runner, and we can’t wait to see what we can build together. Let’s get to work! View the full article

The factories live on; the joint venture will not.View the full article

Much of the narrative I come across online around cybersecurity budgets revolves around convincing the Board and justifying investments. Some approaches are built around financial models and aim at justifying return on investment. Some others focus on quantifying risk and showing risk reduction. All are data-driven and designed around some form of rational argument. But is this really the way decisions are made at the top of large organizations? In fact, those approaches are all part of the bottom-up narrative CISOs, cybersecurity consultants and cybersecurity vendors have been building toward top executives over the past two decades. In my experience, they clash with three aspects of real-life enterprise dynamics: First of all, decision-making at the enterprise level may have the appearance of a rational endeavour, but is in fact heavily influenced by cognitive biases, as evidenced by Daniel Kahneman and his school of thought. This is perfectly obvious with cybersecurity, and it brings me to my second point: Anybody who has spent enough time in the security industry would have come across various situations where money that was previously denied appears in vast quantities at the first sight of a regulatory investigation, a bad audit report, an incident, a near miss or a similar event affecting a competitor (that’s the “can it happen to us?” question many CISOs will be familiar with). No concerns around ROI or risk reduction are raised in those scenarios: Top executives want to see boxes checked and evidence that they have done their job, should a bad breach occur. If execution does not follow, someone else will be blamed (often the CISO, which has sometimes been nicknamed Chief Incident Scapegoat Officer). More seriously, the penny has in fact dropped in many boardrooms around the “when-not-if” paradigm with cyberattacks: Following almost two decades of non-stop breaches, you would probably struggle to find one board member not aware of the business impact they can have. That’s taking me to my third point: I have had many discussions, in particular with CIOs, openly admitting that they could put “anything they like” in their budgets for cybersecurity, but that their main problem was delivering on cyber projects. Where does that disconnect come from, between many CISOs and their vendors pretending to struggle with resources, and top executives increasingly cyber-aware and wanting to invest to protect the firm? The budget myth: Why cybersecurity isn’t actually underfunded Of course, cybersecurity projects are often complex because they need to reach across corporate silos and geographies to deliver effective protection to the business. This is not natural in large firms, which are, almost by essence, territorial and political. But beyond that, the profile of CISOs is also a key dimension: Most are technologists by trade and background, and have spent the last decade firefighting incidents, incapable of building or delivering any kind of long-term narrative. They have not developed the type of management experience, political finesse or personal gravitas that they would require to be truly successful, now that the spotlight is firmly on them from the top of the firm. Many genuinely think that chronic under-investment in cybersecurity is the root cause of insufficient maturity levels, while it is in fact chronic execution failure linked to endemic business short-termism that is at the heart of the matter: Projects deprioritised as soon as “quick wins” are delivered or boxes checked on compliance reports, changes in direction as soon as a new executive joins or leaves, initiatives put on hold at the first sight of market turbulences: All point to governance and cultural aspects that are the real root causes of the long-term stagnation of cybersecurity maturity levels in large firms. For the CISOs who have not integrated those cultural aspects and are almost always left out of those decisions, it breeds frustration; frustration breeds short tenures (in the region to two to three years for many); short tenures aggravate the management and leadership mismatch: You cannot deliver much of genuine transformative impact in large firms on those timeframes. For top executives, the CISO “merry-go-round” also builds frustration: They have seen too many coming in with grandiose plans asking for millions before resigning after a few years, leaving everything half done. The first 100 days: Where trust is won or lost Quite a lot of that disconnect is effectively built up in the first 100 days of the CISO. Many CISOs come into a new job with pre-conceived views, sometimes created at interview time: Things that have worked elsewhere, pet subjects, vendors or consultants. Many also feel that they have to prove themselves as specialists in their first 100 days. That’s a mistake. Competence is assumed in the first 100 days (you’ve just been hired). The challenges lie elsewhere. The first 100 days are about proving your ability to fit in the organisational structure of the firm and act as a leader. That starts by listening, in my view: Listening to stakeholders and sponsors, understanding their expectations, their pain points, what has worked in the past, what hasn’t and why, what happened with your predecessor… Sometimes “what can I do to help you?” is simply the best question to ask… This process should initiate a journey of co-construction of the cybersecurity narrative, and beyond that, of the firm’s cybersecurity strategy. If objectives are shared with stakeholders and sponsors, friction is reduced; over time, business champions emerge who relay the cybersecurity narrative, not because it’s the CISO’s but because it’s theirs. The process should also embed the CISO in the governance and leadership dynamics of the firm. By listening truly, identifying and following the cultural currents across the firm, the allegiances, the informal networks of trust where real decision-making happens, the CISO becomes a trusted player for business leaders. At that point, budgetary discussions become two-way discussions between trusted partners, not adversarial situations where one party has to win over the other. Conversely, CISOs who approach their first 100 days looking to prove themselves tactically run the risk of ending up trapped in operational firefighting: This is a situation from which very few escape. They may be seen as a safe pair of hands in the end, but that’s unlikely to get them accepted at the strategy table. This is the type of situation where a CSO role becomes a necessity, as I advocated in “Is the CISO role broken,” to orchestrate business protection at the corporate level and ensure all regulatory obligations are met. But it is not a fatality. Ultimately, the future of cybersecurity leadership will belong to those CISOs who recognize that building influence and trust has to precede action and investment. Boards no longer need to be convinced that cyber risk matters — they need confident, culturally attuned leaders who can navigate complex corporate dynamics, build trust with all stakeholders and orchestrate delivery across silos. The first 100 days set the tone: Not through technical demonstrations or budgetary battles, but through listening, aligning and co-creating a narrative that business leaders feel ownership over. In doing so, CISOs move from pleading for resources to shaping strategy as true executives — not firefighters on the sidelines, but architects of resilience at the heart of the enterprise. This article is published as part of the Foundry Expert Contributor Network. Want to join? View the full article

The streaming giant's second immersive playground also lets you try your hand at surviving the Squid Game arena.View the full article

The 300-person startup hopes bringing designers aboard will give it an edge in an increasingly competitive AI software market.View the full article

Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think.View the full article

Shazam today announced it is rolling out a new Popular Segments feature that reveals exactly which part of a song is most popular with listeners. For example, the image above shows that the given song was most discovered around 30 to 35 seconds into the track during the preceding week. This was the moment in the song when the most people asked Shazam to identify the song. More details about the feature:Popular Segments spotlights the key moments within a track that drove the most Shazam activity within the past week. Available for top tracks ranking on Shazam's charts and based on Shazam tag volume, this interactive feature displays relative segment popularity throughout a song, allowing users to hover over the graph and reveal precise time markers and corresponding segments.Shazam says Popular Segments will provide both listeners and artists with helpful insights into what makes songs resonate. The feature will begin rolling out today on the Shazam.com website across desktop and mobile platforms, according to Apple. The announcement did not indicate if the feature will be coming to the Shazam app on the iPhone and iPad. Shazam is a popular music identification service that Apple acquired back in 2018, and it has Apple Music integration. In addition to being available on the web and as an app, Shazam powers a Recognize Music control in Control Center on the iPhone, iPad, and Mac. You can also use Shazam via Siri voice commands. Last month, the Shazam app for iPhone was updated with a Liquid Glass design.Tag: Shazam This article, "New Shazam Feature Will Reveal the Most Popular Moment of a Song" first appeared on MacRumors.com Discuss this article in our forums View the full article