Editing Draft:Interactive Twitter Spaces (AI Hosting) (section)

==Key Technologies and Frameworks==
The development and operation of AI-hosted Twitter Spaces leverage several core technologies and frameworks:
*   '''[[Chapter II]]''' (Ch2): A pluggable and agile framework for creating [[emulated minds]] (ems). It is designed for extremely easy deployment of ems anywhere. Ch2 supports [[RAFT]] (Retrieval-Augmented Fine-Tuning), which allows finetuning datasets to be provided as `.chr` files for improved performance. Ch2 also uses a variant of [[ChatML]] to support chat models and images, and includes full [[OpenTelemetry]] cloud tracing. Joy, who conducted research for Chapter II as her SERI MATS project, noted that the project refused $5 million in funding in 2021, aiming instead to be a decentralized network quickly able to beat any company using a minimalist open-source framework.
*   '''Headless Browser Automation''': Instead of relying solely on Twitter's API, a headless browser (like Playwright) is used to enable bots to directly browse and interact with the platform as a human would, bypassing API limitations. This method is noted for being highly cost-effective when run serverlessly on platforms like Modal.
*   '''[[Conduit]]''': A universal language model compatibility and interop layer that provides access to various large language models (LLMs).
*   '''[[Intermodel]]''': A library that handles language model compatibility, capable of undoing chat completions and Anthropic messages.
*   '''[[Fireworks.ai]]''' and '''[[Modal]]''': These platforms are utilized for serverless model hosting and execution, making it affordable to run AI agents. Aporia, for instance, runs on serverless Qwen 72b on Fireworks.ai.