Takeaways
Which model to use for generating architecture.
The simpler the decision you need to make, the more readily you can just take a proposal from Fable or GPT-5.5. And now that Fable is unavailable outside the US, the choice between Opus and GPT is far from obvious. As a quick default I'd lean toward GPT.
Anthropic wants to enforce them via language of the contracts and take a hands off approach. OpenAI has a contract that is paired with humans in the room (FDEs) that can pull the plug.
Sites like simonwillison.net/2025/jul/ and channels like https://www.youtube.com/@aiexplained-official also cover new model releases pretty quickly for some "out of the box thinking/reasoning" evaluations.
For me and my usage I can really only tell if I start using the new model for tasks I actually use them for.
My personal benchmark andrew.ginns.uk/merbench has full code and data on GitHub if you want a staring point!
Indeed they do, however companies like Meta (altruistically or not) are preventing OpenAI from building 'moats' by releasing models and architecture details in a very public way.
True but what you can do is SSH to the device and install a custom launcher for apps that can read standard epubs, play chess, or expose the linux terminal on device.
Not great for basic users but I've had significantly more use out of it with some advanced setup.
Take a look at Piper. It's the tts solution used by the open source home automation project HomeAssistant. Produces decent quality speech in a couple seconds on raspberry pi class hardware.
I'd recommend Sweethome3D to trace the floorplan and then you can export it as a .obj to a program like Twinmotion to do visualisation and lighting with pathtracing etc.
Seems to be entirely a different approach for diffusion.
>DeepFloyd IF works in pixel space. The diffusion is implemented on a pixel level, unlike latent diffusion models (like Stable Diffusion), where latent representations are used.