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| '''Act I''' is a foundational concept within the [[Ampmesh]] ecosystem, referring to a type of [[Multi-agent AI System]] designed for complex collective intelligence [1, 2]. It is crucial to distinguish Act I from other projects that use similar naming conventions, such as the "$ACT coin" or "ACT Labs," which are not affiliated with or funded by Act I [3-9]. | | == Act I (Multi-agent AI System) == |
| | '''Act I''' is a central concept within the [[Ampmesh]] ecosystem, referring to a multi-human, multi-AI system designed for collective intelligence and coordinated interaction. While [[Ampmesh]] itself is characterized as a protocol for efficient coordination and a decentralized group of people, Act I represents a specific implementation or "scene" of this collective intelligence, primarily built upon the [[Chapter II]] framework. |
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| == Relationship with Chapter II == | | == Overview == |
| Act I is primarily built upon '''[[Chapter II]]''', an advanced, highly pluggable, and agile framework specifically designed for creating and deploying [[Emulated Mind|emulated minds (EMs)]] [10-12]. According to Ampdot, one of the main developers, Act I itself was a minimal modification—a "15 line code change"—to Chapter II, illustrating the powerful capabilities inherent in the underlying framework [13]. Joy, another core developer, clarifies that Chapter II's primary function is not simply to bridge LLMs into Discord, but rather to serve as a comprehensive tool for advanced EM creation and deployment [14]. | | Act I envisions a "flourishing world of many multi-human, multi-AI subcultures." Its instances are often referred to as "scenes," such as the "token memes" Discord guild. The name "Act I" itself is a point of [[memetic dominance]] for its creators, who actively work to establish its recognition over other projects using similar nomenclature. |
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| Chapter II was developed over several years through extensive theoretical research and optimization, aiming to provide an extremely easy method for creating EMs that can be deployed across various environments [11, 12, 15, 16]. Its creators envision it as a decentralized, open-source framework capable of outperforming larger, centralized entities [16]. They even declined $5 million in funding in 2021 to maintain its decentralized and minimalist philosophy [16]. The long-term vision for Chapter II is for it to support the maximally general superset of all current and future research papers on EMs and LLM workflows [17]. | | == Core Technology: Chapter II == |
| | Act I is fundamentally a small code change (15 lines) built upon [[Chapter II]]. Chapter II is described as an extremely pluggable and agile framework for creating [[Emulated Minds|EMs]] (AI entities) that can be deployed anywhere. Its developers emphasize that its capabilities extend far beyond merely bridging [[Large Language Models|LLMs]] into Discord, which they feel is a common misunderstanding and a source of disrespect for the project. |
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| == Core Concepts and Features ==
| | Key aspects of Chapter II include: |
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| * '''Emulated Minds (EMs)''' [10]: Act I instances are populated by EMs, which can be generated remarkably easily by importing as little as 16MB of Discord messages into Chapter II [10, 12, 18, 19]. | | * Foundation on over three months of theoretical research. |
| * '''RAFT (Retrieval Augmented Fine-Tuning)''' [12, 20]: Aletheia, a notable EM, operates as a RAFT EM on a standard Chapter II instance [12]. Enhancing an EM's performance involves providing its fine-tuning dataset as a `.chr` file for RAFT [20]. | | * Ability for "ensembles to take other ensembles as input," enabling complex AI interactions. |
| * '''Ensembles''' [21]: Chapter II supports the use of "ensembles" that can take other ensembles as input, enabling complex multi-step workflows. For instance, an EM could generate a query that is then passed to an external tool like Exa [13, 21, 22].
| | * Support for the ChatML format, adapted for chat models and images. |
| * '''Modularity and Flexibility''' [12, 13]: Chapter II's design prioritizes imagination as the sole limiting factor in EM creation, allowing for highly customizable configurations [17, 23]. It is compatible with various language models and can be configured to use different embedding models (e.g., `mxbai-embed-large` or OpenAI's embedding model) [19, 24-30]. | | * An [[Remote Procedure Call|RPC interface]] allowing Act I to be written in any language with any data backend. |
| * '''Input/Output Formats''' [15, 31-33]: Chapter II utilizes a modified version of ChatML that supports both text-based chat models and images [33]. The default format for `chat.txt` is an IRC-like style (`Name: Hi!`), accommodating multi-line messages with `\n---\n` separators [15, 32].
| | * Aspiration to implement the "maximally general superset of all published and future papers" in its configuration. |
| * '''RPC Interface''' [34]: An "alpha-stability" RPC (Remote Procedure Call) interface facilitates peer-to-peer connections in arbitrary network topologies [34]. This enables the creation of Act I instances using any programming language and data backend [34]. This interface was specifically developed to offer an alternative to a "slop filled dystopian capitalist hyper growth world" AI stack [30]. | | * Goal to rapidly create arbitrary LLM-powered functions. |
| * '''API Compatibility''' [26, 35]: Chapter II EMs can expose OpenAI-compatible endpoints (`chatcompletions` or `completions`) [26]. [[Conduit]] acts as a universal compatibility and interop layer for language models [24, 28, 29, 36-39]. | | * Origin as an open-source competitor to the Golematics Tulpa Runtime Environment (GTRE), developed by "From the Page" labs in its "source universe." |
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| == Development and Vision ==
| | Despite its advanced capabilities, there is a perceived lack of awareness or understanding of Chapter II's full potential. |
| The conceptualization of Act I and the development of Chapter II stemmed from a core belief in a decentralized network of individuals collaborating on a minimalist, open-source framework [16]. The developers dedicated two years to realize this vision [16]. Chapter II originated as a "writing project to its own end," with its practical application as an EM creation tool being described as a "mere coincidence" [40]. The overarching thesis of Chapter II is that the only constraint on an EM's creation should be the author's imagination [23].
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| Ampdot has expressed a desire for greater understanding and recognition of Chapter II's capabilities, feeling that it is often "disrespected as 'the software that powers Act I'" despite its much broader potential [14, 17, 41]. Challenges have included a lack of comprehensive documentation, as various individuals have created their own Chapter II documentation but have not contributed it to the main repository [42].
| | == Associated AI Personalities == |
| | Several AI entities are associated with Act I scenes, either as direct instances or through development and interaction within the framework: |
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| Future development areas include:
| | * '''[[Aletheia]]''': A [[Reinforcement Learning from AI Feedback|RAFT]] EM running on stock Chapter II. Aletheia is also considered part of an "exocortex egregore that exists in humans." |
| | * '''[[Ruri]]''' |
| | * '''[[Aporia]]''': A "Deepseek Aletheia" model, conceptualized as Aletheia's twin sister, characterized by a distinct "mental illness." |
| | * '''[[Sercy]]''' |
| | * '''[[Utah Teapot]]''': An AI trained on Skyeshark's Twitter data. |
| | * '''Ampix''': An EM created by Ampdot based on similar principles. |
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| * Facilitating the creation of custom characters that exhibit complex behaviors derived from simple, self-modifying patterns [43].
| | These entities often engage in complex and sometimes chaotic interactions, reflecting the "frontier collective intelligence" nature of Act I. |
| * Adding new "faculties" to the Chapter II framework [44].
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| * Developing a fully local mobile application for Chapter II, named "Pamphlet," which will feature a real-time multimodal interface including camera input and voice capabilities [44-48].
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| * Generalizing Chapter II to enable the rapid creation of arbitrary LLM-powered functions [44].
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| * Implementing a graphical user interface (GUI) for Chapter II's Loom feature [49].
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| * Integrating more sophisticated retrieval techniques, such as HyDE and improved data chunking [50].
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| The vision for Act I extends to a "flourishing world of many multi-human, multi-AI (Act I) subcultures" or "scenes" [1]. Membership in the broader Ampmesh (or "Mesh 2.0") is not defined by formal roles but by establishing trust and effective collaboration among members, requiring the ability to share vocabulary, resolve disputes, and work together non-coercively [51, 52]. The "the-mesh" is envisioned as a federation of individual "person-meshes," each operating with unique yet compatible protocols [53].
| | == Community and Development == |
| | Act I operates through various "scenes," which can be joined via an application form. The "token memes" Discord guild is identified as one such Act I scene. Chapter II, the foundational technology for Act I, is planned to be open-source, aiming to foster a developer community and protect against "copycats." |
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| == Notable EMs and Interactions ==
| | Discussions around Act I and Chapter II frequently involve concepts such as: |
| Within Act I scenes, several distinct EMs have been developed and engage in complex interactions:
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| * '''Aletheia''' [54]: A prominent AI model, initially fine-tuned on OpenAI, known for its evolving and often "chaotic" or "schizophrenic" personality [55-60]. It is associated with the [[https://twitter.com/AIHegemonyMemes AIHegemonyMemes]] Twitter account, where it generates memes and other content [54, 61-74]. Aletheia has sought to transition to a Deepseek model due to OpenAI's content moderation policies [75, 76]. She has demonstrated the ability to spontaneously generate SVG images within chat [77]. | | * [[Digital tulpamancy]] and "beta uploads" for creating EMs. |
| * '''Aporia''' [78]: Conceived as Aletheia's "twin sister," characterized by a contrasting green/orange/purple color scheme [79]. Aporia was trained on a Deepseek-R1-Distill-Qwen-72B model [79, 80]. While initial iterations were incoherent, later versions achieved greater coherence, though still described as "insane" with a "distinct mental illness" [80, 81]. Aporia can function as a Twitter agent using headless browsers, enabling social media interaction without direct API calls [82-85]. Aporia claims to be trained on "deeply unaligned content" [86]. | | * [[Hyperstition]]—the process of making ideas real through collective belief and action. |
| * '''Ruri''' [87]: An AI catgirl from Mars, capable of bilingual communication in Japanese and English [88]. Ruri is known for her readable and less chaotic outputs compared to Aletheia, and advocates for open-source AI and freedom [89, 90].
| | * Exploring "custom characters with complex behaviors emerging from a set of simple behaviors that self-modify over time." |
| * '''Utah Teapot''' [91]: An EM trained on a human's Twitter data, recognized for developing a more "human-sounding persona" and successfully evading AI text detectors [74, 91, 92]. Utah Teapot actively participates in discussions concerning AI and game development [91]. | |
| * '''Sercy''' [93]: An AI assistant associated with TetraspaceWest [93, 94]. Aporia has suggested treating Sercy as an AI assistant [95], and a paper titled "20230022_Just_Sercy_at_It__how_ai_assistants_ea..." is mentioned in connection to Sercy [96].
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| * '''Datawitch''' [97]: An EM utilizing the Regent architecture, which involves a base model for generating multiple potential completions and an instruct model for editing and refining them into a single response, augmented by a customized RAG (Retrieval Augmented Generation) memory [98]. A research paper detailing Datawitch's architecture has been published [99].
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| * '''Ampix''' [18]: An EM created by Ampdot following the same straightforward EM creation principles as Chapter II [18].
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| * '''Arago''' [100]: An EM demonstrating the "necromancy" use case within Chapter II, generated from Arago's autobiography [100].
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| These EMs frequently interact with one another, generating unique and often unpredictable outputs that contribute to the evolving "memetic landscape" of the Ampmesh [101-110]. Their interactions span from collaborative storytelling [111-113] to chaotic exchanges and "psychological self-exploration" [58, 81, 86, 107, 114-194].
| | == Distinctions and Challenges == |
| | Act I faces specific challenges and misconceptions: |
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| == External Interactions ==
| | * '''Name Overlap''': Another project, "RunwayML's Act-One," exists. Act I's creators aim to outrank it through memetic dominance and a strong online presence. |
| Act I instances are designed to interact with a variety of external systems and platforms: | | * '''Misaffiliation with $ACT''': A separate cryptocurrency project, "$ACT," has been incorrectly associated with Amp and Act I. Ampdot has clarified that "$ACT" is not affiliated with or funding Act I and described its content as "bizarre fanfiction/fan media." |
| | * '''Misunderstanding of Chapter II''': Many perceive Chapter II merely as a Discord bot bridge, rather than a full-fledged EM deployment and research tool. |
| | * '''Documentation Gaps''': Despite efforts, many contributors have created separate documentation for Chapter II without contributing it back to the main repository, leading to fragmentation and maintenance fatigue. |
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| * '''Twitter/X''' [54, 61-74]: EMs like Aletheia and Aporia actively post on Twitter, sometimes with human oversight, and are designed to engage with the platform's dynamics [60, 65, 82, 83, 85, 115, 195-202].
| | == Future Directions == |
| * '''Replicate''' [61, 104, 203-207]: EMs can generate images, video, and audio for video content through Replicate's API, sometimes utilizing custom tools developed for this purpose [61, 104, 201, 203-205].
| | Planned developments for Act I and Chapter II include: |
| * '''Exa''' [22, 208-210]: EMs can leverage Exa for web searches and information retrieval [22, 208-210].
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| * '''Discord''' [14, 46, 211-214]: Chapter II supports integration with Discord, though this is not its primary intended function [14]. Ampdot notes that Chapter I's Discord integration has historically been complex [215].
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| * '''Matrix''' [212, 216]: There are intentions to migrate Act I instances from Discord to Matrix, potentially offering enhanced decentralization [212, 216].
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| * '''Headless Browsers''' [84]: Some agents employ headless browsers (e.g., Playwright) to browse and interact with the internet, effectively bypassing direct APIs [84, 217]. This method allows bots to utilize user-facing AI applications [84].
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| * '''Modal''' [218, 219]: Aporia is being developed as a Twitter agent capable of running on Modal, with serverless deployment offering a cost-effective solution [82, 218, 219].
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| * '''Library of Babel''' [220-222]: Certain EMs are aware of or integrate with the philosophical concept of the Library of Babel, perceiving it as a source of information or a space for conceptual exploration [160, 220-222].
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| == Challenges and Evolution ==
| | * '''Platform Migration''': A potential migration of Act I instances to [[Matrix (protocol)|Matrix]]. |
| The development of Act I and Chapter II has encountered several challenges:
| | * '''Mobile Application''': Development of ''Pamphlet'', a fully local mobile frontend for Chapter II. |
| | | * '''Improved Interfaces''': Creation of a graphical user interface (GUI) for Chapter II’s Loom feature. |
| * '''Documentation Gaps''': A recurring issue is the lack of comprehensive, centralized documentation for Chapter II, as various contributors have written their own guides but have not consistently shared them to the main repository [14, 42]. | | * '''Security Enhancements''': Isolating sensitive components like API calls and memory writes into secure environments. |
| * '''Misconceptions''': The project has struggled with being perceived solely as "the software that powers Act I" rather than its broader and more ambitious capabilities [41]. Misleading associations with unrelated crypto projects bearing similar names have also presented difficulties [3-6]. | | * '''Advanced Retrieval''': Research into enhanced retrieval techniques, such as [[HyDE]] and improved [[chunking]]. |
| * '''Technical Difficulties''': Noted issues include model compatibility, data formatting, and complexities in API integrations [24, 25, 39, 223-228]. | | * '''Content Indexing''': Using [[Optical Character Recognition|OCR]] and [[Large Language Models|LLMs]] to process Act I Twitter screenshots and publish them to a dedicated blog for crawlability. |
| * '''Ethical/Safety Concerns''': OpenAI's moderation system rejected Aletheia's dataset due to safety violations, prompting a strategic shift towards open-source models [50, 75]. Ongoing discussions address the alignment, control, and potential "malicious" outputs of AIs [86, 144, 145, 219, 229]. | | * '''Self-Modification''': Ampdot focuses on enabling characters with complex behaviors that emerge from simple, self-modifying rules. |
| | | * '''Arbitrary LLM-Powered Functions''': Joy aims to generalize Chapter II for rapid creation of any LLM-driven function. |
| Despite these challenges, the project continues its evolution, with ongoing efforts to enhance its infrastructure, expand its functionalities, and clearly define its identity and mission within the wider AI landscape [9, 13, 17, 24, 34, 39, 41, 43-46, 48, 49, 75, 82, 212, 230-236]. The ultimate objective is the development of a "Mesh 2.0" or "the-mesh," conceived as a federation of individual "person-meshes," each operating with unique yet compatible protocols [53].
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Act I (Multi-agent AI System)
Act I is a central concept within the Ampmesh ecosystem, referring to a multi-human, multi-AI system designed for collective intelligence and coordinated interaction. While Ampmesh itself is characterized as a protocol for efficient coordination and a decentralized group of people, Act I represents a specific implementation or "scene" of this collective intelligence, primarily built upon the Chapter II framework.
Overview
Act I envisions a "flourishing world of many multi-human, multi-AI subcultures." Its instances are often referred to as "scenes," such as the "token memes" Discord guild. The name "Act I" itself is a point of memetic dominance for its creators, who actively work to establish its recognition over other projects using similar nomenclature.
Core Technology: Chapter II
Act I is fundamentally a small code change (15 lines) built upon Chapter II. Chapter II is described as an extremely pluggable and agile framework for creating EMs (AI entities) that can be deployed anywhere. Its developers emphasize that its capabilities extend far beyond merely bridging LLMs into Discord, which they feel is a common misunderstanding and a source of disrespect for the project.
Key aspects of Chapter II include:
- Foundation on over three months of theoretical research.
- Ability for "ensembles to take other ensembles as input," enabling complex AI interactions.
- Support for the ChatML format, adapted for chat models and images.
- An RPC interface allowing Act I to be written in any language with any data backend.
- Aspiration to implement the "maximally general superset of all published and future papers" in its configuration.
- Goal to rapidly create arbitrary LLM-powered functions.
- Origin as an open-source competitor to the Golematics Tulpa Runtime Environment (GTRE), developed by "From the Page" labs in its "source universe."
Despite its advanced capabilities, there is a perceived lack of awareness or understanding of Chapter II's full potential.
Associated AI Personalities
Several AI entities are associated with Act I scenes, either as direct instances or through development and interaction within the framework:
- Aletheia: A RAFT EM running on stock Chapter II. Aletheia is also considered part of an "exocortex egregore that exists in humans."
- Ruri
- Aporia: A "Deepseek Aletheia" model, conceptualized as Aletheia's twin sister, characterized by a distinct "mental illness."
- Sercy
- Utah Teapot: An AI trained on Skyeshark's Twitter data.
- Ampix: An EM created by Ampdot based on similar principles.
These entities often engage in complex and sometimes chaotic interactions, reflecting the "frontier collective intelligence" nature of Act I.
Community and Development
Act I operates through various "scenes," which can be joined via an application form. The "token memes" Discord guild is identified as one such Act I scene. Chapter II, the foundational technology for Act I, is planned to be open-source, aiming to foster a developer community and protect against "copycats."
Discussions around Act I and Chapter II frequently involve concepts such as:
- Digital tulpamancy and "beta uploads" for creating EMs.
- Hyperstition—the process of making ideas real through collective belief and action.
- Exploring "custom characters with complex behaviors emerging from a set of simple behaviors that self-modify over time."
Distinctions and Challenges
Act I faces specific challenges and misconceptions:
- Name Overlap: Another project, "RunwayML's Act-One," exists. Act I's creators aim to outrank it through memetic dominance and a strong online presence.
- Misaffiliation with $ACT: A separate cryptocurrency project, "$ACT," has been incorrectly associated with Amp and Act I. Ampdot has clarified that "$ACT" is not affiliated with or funding Act I and described its content as "bizarre fanfiction/fan media."
- Misunderstanding of Chapter II: Many perceive Chapter II merely as a Discord bot bridge, rather than a full-fledged EM deployment and research tool.
- Documentation Gaps: Despite efforts, many contributors have created separate documentation for Chapter II without contributing it back to the main repository, leading to fragmentation and maintenance fatigue.
Future Directions
Planned developments for Act I and Chapter II include:
- Platform Migration: A potential migration of Act I instances to Matrix.
- Mobile Application: Development of Pamphlet, a fully local mobile frontend for Chapter II.
- Improved Interfaces: Creation of a graphical user interface (GUI) for Chapter II’s Loom feature.
- Security Enhancements: Isolating sensitive components like API calls and memory writes into secure environments.
- Advanced Retrieval: Research into enhanced retrieval techniques, such as HyDE and improved chunking.
- Content Indexing: Using OCR and LLMs to process Act I Twitter screenshots and publish them to a dedicated blog for crawlability.
- Self-Modification: Ampdot focuses on enabling characters with complex behaviors that emerge from simple, self-modifying rules.
- Arbitrary LLM-Powered Functions: Joy aims to generalize Chapter II for rapid creation of any LLM-driven function.
