Update README.md

Author: polterguy

README.md

@@ -161,7 +161,7 @@ You can also watch me [guide you through the setup process here](https://www.you
 
 To use the system you'll need an OpenAI API key. You can create one [here](https://platform.openai.com/api-keys).
 
-**NOTICE** - To gain access to `gpt-5.2-codex`, you might have to deposit $51 into your OpenAI API account. Magic depends upon OpenAI, and without depositing money into OpenAI, you won't get access to GPT-5.2-codex, which is the default model in Magic for _"vibe coding"_. You might get GPT-4.1 to work during vibe coding, but 5.2-codex is __much better__!
+**NOTICE** - To gain access to `gpt-5.4`, you might have to deposit $51 into your OpenAI API account. Magic depends upon OpenAI, and without depositing money into OpenAI, you won't get access to gpt-5.4, which is the default model in Magic for _"vibe coding"_. You might get GPT-4.1 to work during vibe coding, but 5.2-codex is __much better__!
 
 If you are absolutely allergic to OpenAI, there are Ollama and HuggingFace plugins for the system, allowing you to _"override"_ the inference functions with Ollama or HuggingFace models and endpoints - But vectorisation still can only be done with OpenAI's embeddings API.
 
@@ -179,7 +179,7 @@ Use such a setup to completely bypass any censorship, and or spying, allowing yo
 
 ## LLM
 
-The system internally is using OpenAI's GPT-5.2-codex, with minimum reasoning turned on - But everything is tunable, and you can with a little bit of effort exchange the integrated defaults with Ollama or Hugging Face models. However, the Hyperlambda Generator's training dataset is _not_ made public, and we have no plans to do so either. This means that worst case scenario, you're still running your already generated systems perfectly fine, without the ability to generate new systems - Even if you were to loose the Hyperlambda Generator for some reasons.
+The system internally is using OpenAI's gpt-5.4, with minimum reasoning turned on - But everything is tunable, and you can with a little bit of effort exchange the integrated defaults with Ollama or Hugging Face models. However, the Hyperlambda Generator's training dataset is _not_ made public, and we have no plans to do so either. This means that worst case scenario, you're still running your already generated systems perfectly fine, without the ability to generate new systems - Even if you were to loose the Hyperlambda Generator for some reasons.
 
 The Hyperlambda Generator is however a fairly unique thing, due to Hyperlambda's integrated security model, something that allows for dynamically generating tools on the fly, and securely executing the generated code on the backend. Something demonstrated in our [natural language API](https://ainiro.io/natural-language-api).