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Broadcast The Oblicosm Paradox

The Oblicosm Paradox Project is an exploratory effort to harness AI for summarizing and categorizing ideas. Using Microsoft’s Phi-4 model, this project generates hour after hour of summaries on topics like programming, the metacrisis, active inference, and other esoteric subjects. The project leverages spare computing resources to process and organize large amounts of information.

This 9-hour livestream showcases uninterrupted summaries, demonstrating how AI can be used for large-scale knowledge processing. I also did a 46-hour livestream that experimented with extended workflows for summarization. I eventually hope all of my computers can broadcast their summarizers 24 hours a day. (I only had two blue screens of death and only had to pause it once for a few minutes to cool the GPU.)

YouTube does not archive livestreams over 12 hours, so I apologize for the limited utility of the link to the 46-hour video. To address this limitation, I built the Simplectomy Generator, which broadcasts summaries 24 hours a day with a built-in pacer and in a cryptographic cipher. For further privacy and to prevent others from reading over your shoulder, you can use your own cipher font if you prefer.

1. Video Selection: The project began with a curated playlist of videos.
2. Audio Extraction: MP3s were downloaded using yt-dlp on a separate computer, a process that took several days.
3. Transcription: Transcripts were generated with OpenAI’s Whisper over 15 days.
4. Summarization: For the livestreams, transcripts were directly summarized using Phi-4 via Ollama. In the 46-hour livestream, chunking 200 lines of transcripts before summarization improved efficiency.
5. Future Goals: The project’s ultimate goal is to generate synthetic audiobook recordings from the subtitles, which can then train GANs against the original MP3s. However, this stage is still in development. Currently, the focus is on building a text archive of summaries.

The Xylomancy Archive contains the text files generated by the project. MP3s and synthetic audiobooks will be added in future updates.

The project explores how idle computing resources can be used to summarize and categorize knowledge. While this effort focuses on topics of personal interest, the same process could be adapted by others for their own areas of study or research.

• Watch the 9-hour livestream: YouTube Link
• Watch the 46-hour livestream: YouTube Link
• Learn about Phi-4: Introducing Phi-4 on the Microsoft Blog

Updated main website, provethatyouarenotarobot.com, and added a Site Map.

LLM workspace featuring quadrivium and xylomancy (and ollama with wizardlm2) now available as a docker image on Dockerhub.

Digital Analog Clock

Holistic Understanding

Holistic understanding demands that we give the machine everything we have. Filtering or cleaning input data can lead to confusion in real-life scenarios. To enable true understanding, we should avoid heavy-handed heuristic cleanup of the input data.

— 𝘔𝘰𝘯𝘪𝘤𝘢 𝘈𝘯𝘥𝘦𝘳𝘴𝘰𝘯

Read more: The Red Pill of Machine Learning

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