#Bi-directional token decisions
1 messages · Page 1 of 1 (latest)
Hi @spiral quest. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
There is no explicit information in the provided knowledge sources explaining why ChatGPT does not have bi-directional token decisions.
However, the sources do describe how ChatGPT and similar models generate responses: they predict the next token in a sequence based on the preceding context, generating one token at a time in a left-to-right (causal) manner. This approach is rooted in how these models are trained and how they process input—by learning to predict the next most likely word or token given the previous context, not by considering both past and future tokens simultaneously. This is a fundamental property of autoregressive language models like GPT-4 and GPT-5, as described in the documentation and help articles. The model does not revise previous tokens after generating them, nor does it look ahead to future tokens during generation; it only considers the context up to the current point in the sequence What is ChatGPT and how does it work?.
If you are interested in token-level steering or continuation, the community forum notes that OpenAI's API does not officially support "assistant-last continuation"—that is, continuing generation exactly after the last assistant message in a stable, officially supported way. The model always starts a new internal prompt for each assistant message, and while it may sometimes appear to continue, this is not guaranteed or stable Forum Post: Can the API continue generation exactly after the last assistant message (assistant‑last continuation)?.
In summary, ChatGPT's lack of bi-directional token decisions is a result of its autoregressive, left-to-right generation architecture, and this is not something that is currently configurable or supported according to the available documentation.
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
@spiral quest Kapa.ai is still learning and improving, please let me know how I did by reacting below.
@mighty thunder Is there any possibility in the future?
Let me check the knowledge base for you again. One moment! :books: