The online whiteboard of Kristofer Palmvik
If you haven’t been paying attention to what’s going on with Stable Diffusion, you really should be. Stable Diffusion is a new "text-to-image diffusion model" that was released to the public by Stability.ai six days ago, on August 22nd.
I know how to beat XSS, and SQL injection, and so many other exploits. I have no idea how to reliably beat prompt injection! As a security-minded engineer this really bothers me. I’m excited about the potential of building cool things against large language models. But I want to be confident that I can secure them before I commit to shipping any software that uses this technology.
We could think of that category as things I’ve found. That’s the purpose of my link blog: it’s an ongoing log of things I’ve found—effectively a combination of public bookmarks and my own thoughts and commentary on why those things are interesting.
Watching OpenAI’s new o3 model guess where a photo was taken is one of those moments where decades of science fiction suddenly come to life. It’s a cross between the Enhance Button and Omniscient Database TV Tropes.
I’ve mainly explored full GPT-5. My verdict: it’s just good at stuff. It doesn’t feel like a dramatic leap ahead from other LLMs but it exudes competence—it rarely messes up, and frequently impresses me. I’ve found it to be a very sensible default for everything that I want to do. At no point have I found myself wanting to re-run a prompt against a different model to try and get a better result.
Andrej could not have stated this more clearly: vibe coding is when you forget that the code even exists, as a fun way to build throwaway projects. It’s not the same thing as using LLM tools as part of your process for responsibly building production code.