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As Towerborne went live in Steam early access and Xbox game preview, we scaled up backend operations. We performed extensive load testing and formalized a backend on-call complete with a robust suite of dashboards, alarms, and runbooks. We monitored how players interacted with the game and continued to build out new services and features.
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With more power for AI functions, Samsung has continued to evolve and expand its AI software, although it seems less of a priority this year. Only one AI feature stood out during my briefing: Audio Eraser. While this launched on the S25, it only worked on audio and video you captured yourself. Now, Samsung expanded it to most major video platforms, including Netflix, Instagram and YouTube, adding the ability to strip out noise and distractions and amplify the volume of voices. It was especially effective with a rowdy replay of an Arsenal football soccer match, and sounded like I was listening to a dedicated commentary channel. Interestingly, unlike many sound editing apps and features, it will work on downloaded videos on those platforms without an internet connection.
Samsung Display revealed its Flex Magic Pixel technology back in 2024. The S26 Ultra’s Privacy Display is built off the back of this. It controls the direction of light emitted from the AMOLED at the pixel level, integrating wide-angle and narrow-angle pixel arrays so the display can switch between a wide-angle viewing experience and more private, straight-on views.
The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.