When Threads first launched one of the top feature requests was for a web client. In this episode of the Meta Tech Podcast, Pascal Hartig (@passy) sits down with Ally C. and Kevin C., two engineers on the Threads Web Team that delivered the basic version of Threads for web in just under three months. Ally and Kevin share how their team moved swiftly by leveraging Meta’s shared infrastructure and the nimble engineering practices of their colleagues who built Threads for iOS and Android. They also discuss how they balanced the need to ship new features with the desire to craft exciting experienc ..read more

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The post Building new custom silicon for Meta’s AI workloads appeared first on Engineering at Meta ..read more

The post Building new custom silicon for Meta’s AI workloads appeared first on Engineering at Meta ..read more

The post Building an infrastructure for AI’s future appeared first on Engineering at Meta ..read more

The post Introducing the next-gen Meta Training and Inference Accelerator appeared first on Engineering at Meta ..read more

Threads has entered the fediverse! As part of our beta experience, now available in a few countries, Threads users aged 18+ with public profiles can now choose to share their Threads posts to other ActivityPub-compliant servers. People on those servers can now follow federated Threads profiles and see, like, reply to, and repost posts from the fediverse. We’re sharing how we’re continuing to integrate Threads with the fediverse, the technical challenges, the solutions we’ve come up with along the way, and what’s next as we move toward making Threads fully interoperable. Threads’ initial laun ..read more

Bandwidth estimation (BWE) and congestion control play an important role in delivering high-quality real-time communication (RTC) across Meta’s family of apps. We’ve adopted a machine learning (ML)-based approach that allows us to solve networking problems holistically across cross-layers such as BWE, network resiliency, and transport. We’re sharing our experiment results from this approach, some of the challenges we encountered during execution, and learnings for new adopters. Our existing bandwidth estimation (BWE) module at Meta is based on WebRTC’s Google Congestion Controller (GCC). We ..read more

At Meta, we support real-time communication (RTC) for billions of people through our apps, including Messenger, Instagram, and WhatsApp. We’ve seen significant benefits by adopting the AV1 codec for RTC. Here’s how we are improving the RTC video quality for our apps with tools like the AV1 codec, the challenges we face, and how we mitigate those challenges. The last few decades have seen tremendous improvements in mobile phone camera quality as well as video quality for streaming video services. But if we look at real-time communication (RTC) applications, while the video quality also has im ..read more