Long prompts: recursive processing with code
An MIT post published on January 6, 2026 describes models using a Python interface to filter and recursively process segments of long prompts.
Source: Recursive language models usam código para processar prompts longos (x.com). Text prepared with AI from this source.
What happened and what to do
In a post published on January 6, 2026, MIT describes recursive language models that use a Python interface to search and filter long prompts, then recursively process smaller segments. According to the post, the approach handles inputs up to about 100 times the usual size and outperforms base models and retrieval configurations in certain evaluations.
A company can test this pattern on long documents, logs, or datasets that exceed practical limits for direct processing. Implementation involves defining content selection and segmentation steps, running recursive processing, and monitoring quality, cost, and latency, with controls over the data used at each step.
How the consultancy can help
Wendelmaques can diagnose a long-input processing workflow, define a suitable recursive architecture, and implement and operate its components, including segment selection, monitoring, and quality evaluation.
Next step
Send a short description of your use case and the content you need to process to receive a scoped proposal.
Let's assess your project
I reply with scope and a proposal.