标签：#streaming

The version of The X-Files: I Want to Believe that premiered in 2008 was not exactly the movie co-writer / director Chris Carter intended to make. Carter wanted to bring agents Mulder and Scully back to the big screen with a grisly story about faith and the supernatural. But executives at 20th Century Fox felt […]

If you didn't catch it in theaters, here's when you can watch it on Disney+.

For the past few months, I've been working on a project that translates online meetings in real time. At first, I thought the problem would mostly be about choosing the right speech recognition model and finding a good translation API. It turned out those were the easy parts. The real challenge was making everything feel instant. People don't wait for subtitles. If the translation appears two or three seconds after someone finishes speaking, the conversation has already moved on. Technically it works, but from a user's perspective, it feels broken. That completely changed how I approached the project. Instead of optimizing only for accuracy, I had to optimize the entire pipeline for latency: Capturing audio continuously Streaming audio to ASR Performing speech recognition incrementally Translating partial sentences Updating subtitles without flickering Handling corrections when the speech recognizer revised previous words Every stage might only take a few hundred milliseconds, but together they determine whether the experience feels "real-time." Another lesson surprised me even more. Translation quality isn't just about picking a better LLM. Spoken language is messy. People interrupt each other, change direction halfway through a sentence, use filler words, and rarely speak in complete grammatical sentences. A model that performs well on benchmarks can still struggle in a live conversation if the input arrives one fragment at a time. That forced me to rethink prompts, buffering strategies, and when to display or revise translated text. Building this project also gave me a new appreciation for streaming systems in general. Real-time applications are fundamentally different from batch processing. Instead of asking, "How accurate is the result?", you're constantly balancing three competing goals: Latency Stability Accuracy Improving one often makes another worse. I'm still learning every day, and there are plenty of problems left to solve. Over the next few weeks, I'd

Netflix plans to shut down two of its gaming studios, as reported by Game File and Variety, as it makes a bigger shift toward party games and titles streamed to TVs. One of the studios being shut down is Night School Studio, creators of the Oxenfree series. Netflix bought Night School in 2021, and it […]

There are loads of options for getting new music into your ears if you're fed up with Spotify.

Spotify's forthcoming paid add-on lets fans generate content via "AI-powered creative tools."

And why the company didn't make the feature opt-in.

If you've got a jumble of HDMI cables behind your entertainment center, one of these devices might help.

Google TV Freeplay, the company's free, ad-supported streaming service, now supports video on demand. Instead of tuning into Google TV Freeplay's selection of always-on channels, you can now choose from over 10,000 shows and movies to watch whenever you want. The update introduces titles like Lady Bird, Seventeen Again, and Hell's Kitchen, according to Google's […]

Disney+ will be the new global streaming home of Formula E racing.

The streaming service has faced an onslaught of AI-generated music.

New YouTube partners will now need twice the number of watch hours or Shorts views in order to qualify for a cut of ad revenue.

Starting February 1st, 2027, creators who want to monetize their channel through YouTube's Partner Program (YPP) will need at least 1,000 subscribers and either 8,000 qualified watch hours over the past year, or 20 million qualified Shorts views in the last 90 days. That's a sizeable jump from YouTube's current requirement of 1,000 subscribers with […]

Most teams don't consciously choose their messaging infrastructure. They inherit it. Someone used Service Bus on the last project, it worked fine, and now it's the default answer for every async communication problem that comes up. Two years later, you're bending it into shapes it was never designed for, and the operational pain gets blamed on "distributed systems being hard" rather than on the actual culprit: a tool being asked to do a job it doesn't fit. The problem isn't that Service Bus, Event Grid, or Kafka are bad. It's that they solve genuinely different problems, and conflating them doesn't just create technical debt — it creates architectural liability that compounds over time. The Real Difference Is the Communication Contract, Not the Feature List When you put these three tools side by side in a comparison table, you'll find overlapping columns. All three move messages between systems. All three have some delivery guarantee story. That's where the surface-level comparison breaks down and people make bad decisions. The more useful question is: what contract does your system need to uphold with the data it moves? Service Bus is fundamentally about reliable, ordered processing with strong delivery guarantees. It's designed for the case where every message matters individually, where you need competing consumers pulling from a queue, where poison message handling and dead-lettering are first-class concerns. If you're coordinating business process steps or handling financial transactions where exactly-once semantics matter, this is the right shape of tool. Event Grid is about reactive routing. Something happened in your infrastructure or your application, and you want other things to respond to it. It's push-based, fan-out-friendly, and optimized for low-latency notification rather than high-volume throughput. It's not trying to be a buffer. If you're triggering downstream workflows in response to blob uploads, resource state changes, or custom application even

If you've reset your Roku remote or got a new one and need to manually pair it, these are the steps to take.

Japan’s strongest media export makes a solid case for your attention span. Here’s what to watch.

The appeal of free ad-supported streaming television (FAST) channels has always been the way they make it easier to (re)discover classic films and series. But Roku's latest experiment in the FAST space has less to do with traditionally produced entertainment and is entirely focused on giving viewers access to a constant source of AI-generated content. […]

Disney is testing a new AI-powered tool for Disney Plus that uses a natural language search, a voice query, or a suggested prompt to create a customized row of show and movie recommendations. Disney Plus, like other streaming services, can recommend shows to watch based on your viewing history. But the company says this new […]

Lanterns, Dark Matter, and the original Star Trek are just a few of the TV shows you should be watching right now.

Let's dive in to Roku's privacy policy to see what data is being collected from you -- and how to stop it.