Prompt injection is still one of the least comfortable problems in AI development. You can improve your system prompt, restrict tools, validate outputs, and add approval steps before sensitive actions. Still, the model eventually has to read data you do not control. It might browse a webpage, process an email, inspect a repository, or use […] The post GPT-Red: OpenAI Is Training Models to Break Other Models appeared first on RisingStack Engineering.
OpenAI has introduced GPT-Live, a new generation of voice models that now powers ChatGPT Voice. At first, this may sound like another voice-quality update. The voices have been remastered, ChatGPT should interrupt less often, and it can respond more naturally when you pause, change direction or speak over it. But GPT-Live is more than a […] The post ChatGPT Live and the New Architecture of Voice AI appeared first on RisingStack Engineering.
OpenAI has introduced GPT-5.6, but this release is not just another model replacing the previous one. There are three new models: Sol, Terra and Luna. ChatGPT also has new reasoning controls, a separate Work mode, automatic model switching and different model availability depending on where and how you use the product. This can be confusing […] The post GPT-5.6 Sol, Terra and Luna: What Changed in ChatGPT? appeared first on RisingStack Engineering.
For years, most AI safety debates focused on model outputs. Could a model generate malware, explain a dangerous process, produce convincing misinformation, or comply with a jailbreak? Claude Fable 5 pushed that discussion toward a harder question: what happens when a model can inspect large codebases, use tools, maintain context across long-running tasks, and work […] The post Claude Fable 5 Was Restricted for What It Could Do appeared first on RisingStack Engineering.
OpenAI has rolled out two updates that on the surface seem like two separate things, but actually share a common thread. GPT-5.5 makes a big jump in terms of reasoning, coding and tool use, while GPT Image 2 focuses on image generation and editing. At first glance, it’s not the individual new features that stand […] The post GPT-5.5 and GPT Image 2: What Actually Changed appeared first on RisingStack Engineering.
There’s a familiar trick in modern video editing with AI – taking an object out, slapping some new background in, – and calling it good. It does the trick for simple things, but it all falls apart the moment the object actually starts to move or interact with anything. Take a domino chain for example, […] The post Netflix’s VOID: Fixing the Physics Problem in Video Editing appeared first on RisingStack Engineering.
Building an app that records meetings, generates transcriptions, and produces AI analysation sounds straightforward – until you try to make it reliable while the user goes in and out of your app, takes calls, plays music, or checks notifications. This post walks through how we handled background recording and post‑recording processing on iOS and watchOS […] The post Keeping Meeting Apps Alive in the Background on iOS and watchOS appeared first on RisingStack Engineering.
You are in the process of putting together your application. While designing your authorization solution, you realize you will need to send emails to potential clients.Using a third-party service (like SendGrid or Mailgun) to cover your needs for now looks pretty attractive. After all, you don’t have any users yet, they offer free tiers, and […] The post Postfix on Kubernetes: A Step-by-Step Email Guide appeared first on RisingStack Engineering.
In today’s AI hype you cannot miss the term “RAG,” which stands for Retrieval Augmented Generation. In plain English, it stands for customizing large language model reasoning with your own context and knowledge. I searched a lot of resources and AI-generated content for this fairly simple technique to be explained well. I’m still looking for […] The post RAG Demystified: From Math to Self-Hosted Code appeared first on RisingStack Engineering.
Our client, a leading company in the streaming industry, acquired a highly successful indie website with over 50 million unique visitors per month. The site had been built by a single developer who prioritized functionality over maintainability. While the features were mostly bug-free, the design was outdated, and the code relied on aging technologies. The […] The post Case Study: Modernizing a High-Traffic Streaming Platform with the AHA Stack (HTMX & Alpine.js) appeared first on RisingStack Engineering.
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