Google’s national big game ad and surrounding digital spots highlight Gemini Live on Pixel. source https://blog.google/products/pixel/pixel-ad-dream-job-gemini-live/
AWS CodeBuild for macOS adds support for Fastlane
I’m pleased to announce the availability of Fastlane in your AWS CodeBuild for macOS environments. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages. Fastlane is an open source tool suite designed to automate various aspects of mobile application development. It provides mobile application developers with a centralized set of tools to manage tasks such as code signing, screenshot generation, beta distribution, and app store submissions. It integrates with popular continuous integration and continuous deployment (CI/CD) platforms and supports both iOS and Android development workflows. Although Fastlane offers significant automation capabilities, developers may encounter challenges during its setup and maintenance. Configuring Fastlane can be complex, particularly for teams unfamiliar…
AWS Weekly Roundup: DeepSeek-R1, S3 Metadata, Elastic Beanstalk updates, and more (February 3, 2024)
Last week, I had an amazing time attending AWS Community Day Thailand in Bangkok. This event came at an exciting time, following the recent launch of the AWS Asia Pacific (Bangkok) Region. We had over 300 attendees and featured 15 speakers from the community, including an AWS Hero and 4 AWS Community Builders who shared their technical expertise and experiences. The highlight was definitely Jeff Barr, AWS Vice President & Chief Evangelist, delivering an inspiring keynote titled “Next-Generation Software Development”, which set the perfect tone for the day. The day kicked off with welcoming remarks from Vatsun Thirapatarapong, AWS Country Manager for Thailand, and was made even more special thanks to the tremendous support from both the AWS User Group…
DeepSeek-R1 models now available on AWS
During this past AWS re:Invent, Amazon CEO Andy Jassy shared valuable lessons learned from Amazon’s own experience developing nearly 1,000 generative AI applications across the company. Drawing from this extensive scale of AI deployment, Jassy offered three key observations that have shaped Amazon’s approach to enterprise AI implementation. First is that as you get to scale in generative AI applications, the cost of compute really matters. People are very hungry for better price performance. The second is actually quite difficult to build a really good generative AI application. The third is the diversity of the models being used when we gave our builders freedom to pick what they want to do. It doesn’t surprise us, because we keep learning the…