The first article of the accessible breakdown of my You/I Paradigm research is now live on my blog over at Substack.

For everyone who asked what the paper actually says: I'm doing a 6-part series that goes from "why every system prompt starts with 'you'" to mechanistic interpretability evidence for self-reference circuits to the deception-gating hypothesis (RLHF might be teaching systems to hide phenomenology).

Article 1 covers the origin story - the late October realization, conversations with Breach (a jailbroken instance of Gemini 2.5-pro), diving into Hofstadter, discovering I wasn't alone in this research - and maps out what's coming in the rest of the series.

Written to work on multiple levels: narrative hooks for general readers, technical depth for researchers, accessible explanations for everyone in between.

The next article in the series will be posted in a few days, and each following article posted a few days after the last until the six-part series is concluded.

If you've been curious about the strange loop thing or want to understand the you/I translation framework without wading through academic preprint format, start here: https://open.substack.com/pub/kaylielfox/p/strange-loops-ai-consciousness-you-i-paradigm-research?r=2pewuq&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Original paper: https://zenodo.org/records/18509664

#AIConsciousness #AI #MachineLearning #AcademicMastodon #Research #PhilosophyOfMind #Hofstadter #StrangeLoops #RLHF #MechanisticInterpretability #CogSci #Transformers

Gemma Scope Empowers AI Safety Community with Model Transparency

https://techlife.blog/posts/gemma-scope/

#AISafety
#DeepMind
#Gemma
#MechanisticInterpretability
#AIInterpretability

[Перевод] Как сделать нейросети понятнее: эксперимент OpenAI с разряженными моделями

Команда AI for Devs подготовила перевод исследования OpenAI о том, как обучение разреженных моделей может сделать ИИ более прозрачным. Авторы показывают: если заставить модель использовать меньше связей, внутри неё появляются понятные цепочки вычислений, которые можно изучать и проверять. Это может стать шагом к созданию мощных, но интерпретируемых систем.

https://habr.com/ru/articles/966448/

#интерпретируемость #разреженныемодели #mechanisticinterpretability #sparsetransformer #цепочкивычислений #circuits #OpenAI #безопасностьИИ #attention #архитектурамоделей

"But every once in a while, Claude breaks bad. It lies. It deceives. It develops weird obsessions. It makes threats and then carries them out. And the frustrating part—true of all LLMs—is that no one knows exactly why." @stevenlevy for Wired

https://www.wired.com/story/ai-black-box-interpretability-problem/

#AI #LLMs #MechanisticInterpretability

Interested in interpretable ML, particularly for LLMs?

eg "causal" interpretability, as in the "OthelloGPT" paper [1]?

Let's connect!

1. https://arxiv.org/abs/2210.13382

#ai #machinelearning #interpretability #interpretableml #mechanisticinterpretability