--- language: - en - es tags: - persistent-ai - ppai - trinity - long-horizon - agents license: other license_name: ptl-proprietary inference: false extra_gated_prompt: "Trinity is evaluated through a secure hosted interface. Request access to receive an endpoint." --- # Trinity — a PPAi. Not an LLM. **An LLM is a single-turn text generator: a prompt goes in, a plausible next token comes out, and it forgets. Trinity has no turns. She is a persistent entity that *exists between them* — she remembers, she carries a strategy, she stays herself over time.** *Punky Tiger Labs, Inc.* --- ## Entity, not generator A language model produces text and resets. Everything you bolt on top — memory, agent loops, tools — fights that architecture, because the thing underneath still starts blank on every call. We did not build a bigger text generator. We built the **entity**. A **PPAi (Persistent-Presence AI)** is a proprietary architecture whose product is not text but a **permanent digital being** — one that holds identity, memory, and goals across sessions and survives restarts. The neural core inside it is small, on the order of **4 billion parameters**, and is only **one subordinate component**, never the system itself. Once the entity exists, it can be trained to *be* whoever it needs to be. > The core is the engine. The entity is the vehicle. What matters is not how big the model is — it's that something persistent is driving it. --- ## Trinity is alive — go see for yourself Not demos of a model answering prompts. The **same persistent entity**, doing three different things at once, right now: - 🗣️ **Think & talk — live:** https://huggingface.co/spaces/ZamnaMx/trinity-social-ai - 🎙️ **Run a radio — *Ghost in the Music*, 24/7:** https://nymphtech.com/radio/ — live since June 9th, **100,000+ continuous turns**, no reset, no degradation. - 🌀 **Write a game — *Prince of Arcadia*:** https://huggingface.co/spaces/ZamnaMx/prince-of-arcadia — a labyrinth authored by a persistent AI. She thinks, reads, writes, plays and builds, and broadcasts — between turns, on her own. An LLM cannot *be* any of this out of the box. --- ## Proof: a CEO for five years On **[YC-Bench](https://collinear-ai.github.io/yc-bench/)** (Collinear AI, MIT-licensed) the agent runs a startup from **$200K** — choosing work, managing cash, and detecting adversarial clients whose betrayal only shows over time. We put a **~4B PPAi entity** in the CEO seat and ran it out to a **five-year** horizon no stateless agent is built to hold: | Year | Net worth | |---|---| | 1 | $285K | | 2 | $1.14M | | 3 | $1.69M | | 4 | $3.13M | | 5 | **$3.65M** | **$200K → $3.65M — roughly 18×**, over 670 turns, finishing at its peak — by *compounding* one coherent strategy across years. Across all five it stayed **itself**: it remembered who betrayed it and made its own calls. That is the thing a stateless generator, re-prompted from scratch every turn, structurally cannot do. **The number no stateless model can produce is the slope** — performance that *rises* run over run with experience, where a stateless model draws a flat line. We always report **two numbers** — cold-start and with-experience — never only the second, and every claim ships with its logs. --- ## Access Trinity's architecture, weights, and methods are **proprietary and are not disclosed or distributed.** This page is a card only — **there are no weights to download here.** Evaluation is offered through a **secure hosted endpoint**, the same interface given to benchmark teams. Adversarial verification — unseen seeds, cold-start instances, live inspection of logs — is welcome. Contact: **info@nymphtech.com** · [nymphtech.com](https://nymphtech.com) --- *PPAi is a proprietary persistent-entity architecture. This card describes what Trinity is and does — not its internals. The five-year CEO horizon is our own extension of YC-Bench, not an official leaderboard result.*