# Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models

Authors: Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini.

Proposes an operating-system interaction paradigm in which connected generative models interpret user intentions and mediate or replace conventional application interfaces.

First public: 2023-10-07.
ArXiv initial submission: 2023-10-07.

[Original paper](https://arxiv.org/abs/2310.04875) · [Reading-list entry](https://neural-os.com/reading-list/papers/2310.04875/)
[Preprint BibTeX](https://neural-os.com/reading-list/papers/2310.04875/citation.bib) · [Preprint CSL-JSON](https://neural-os.com/reading-list/papers/2310.04875/citation.csl.json) · [JSON record](https://neural-os.com/reading-list/papers/2310.04875/record.json)

**Contribution:** Sets out a broader vision for natural-language, personalized computer interaction, including language and diffusion models as interface components.

**Model output:** Envisioned context-dependent responses and generated interfaces.

**Action interface:** Natural-language user requests, including text and speech.

**State and memory:** Proposes personalization and contextual interaction.

**Relationship to NeuralOS:** NeuralOS cites Prompt-to-OS as background for generative computer interaction.

**Scope and limitations:** A conceptual proposal for generative computer interfaces.

[Relationship source](https://arxiv.org/html/2507.08800v2)

Related terms: Prompt-to-OS, generative interface, neural operating system, human-computer interaction.

## Approaches

- [Neural operating systems](https://neural-os.com/reading-list/guides/neural-operating-systems/): Study how learned generative models can supply computer interaction, interface behavior, and adaptable user experiences. The research direction includes conceptual proposals and learned interface simulators.

Reading-list version 1.0.1; literature checked through 2026-10-19.