Google announced that they are shutting down Stadia at the beginning of next year. This came as a surprise to game studios still making games for stadia and no one else. Stadia has not been doing well for a long time. Many considered it dead on arrival. The writing was on the wall as early as 2021, when Google shut down their internal game studios.
Stadia did not fail because of the streaming service itself. The technology works. It is a competent streaming service. I talked about this in my blog post about the cloud gaming wars, but the business model really let Stadia down. Playing games on the service works, but it has a poor catalog, and you have to buy your games individually. It’s positioned to compete with consoles, and so it loses to other cloud gaming services on value and on IP. Why would you spend on a gaming library on Stadia when you could get all of Game Pass for $25 a month? Even Amazon Luna is a better value than Stadia.
Because the tech behind Stadia is good, it still has a future. Google spun off Stadia’s B2B service as Immersive Stream for Games. They licensed the tech out to Capcom to fuel a browser-based Resident Evil: Village demo. They could always sell the technology that way. If any other company wants to get into cloud gaming, like Nintendo, Google could sell them Stadia as a technical solution. They could also just sell smaller, browser-based solutions to companies. Either way, Stadia as a service is dead, but the tech behind it will live on as Immersive Stream for Games.
We’ve been trying a lot of different things in Project Cyborg, our quest to create the DevOps bot. The technology around AI is complicated and evolving quickly. Once you move away from Chat Bots and start making more complicated things, like working with embeddings and agents, you have to hold a lot of information in… Read more: Visual Prompting: LLMs vs. Image Generation
Working with LLMs is complicated. For simple setups, like general purpose chatbots (ChatGPT), or classification, you have few moving pieces. But when it’s time to get serious work done, you have to coax your model into doing a lot more. We’re working on Project Cyborg, a DevOps bot that can identify security flaws, identify cost-savings… Read more: How to take the brain out of the box: AI Agents
AI embeddings are powerful. We’re working on Project Cyborg, a project to create a DevOps bot. There’s a lot of steps to get there. Our bot should be able to analyze real-world systems and find our where we could implement best practices. It should be able to look at security systems and cloud deployments to… Read more: What does AI Embedding have to do with Devops?