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| license: apache-2.0 |
| tags: |
| - AI |
| - Safety |
| - Representation Engineering |
| - RepE |
| - RLHF-Failure |
| - Mechanistic Interpretability |
| - Activation Steering |
| - Generative Conscience |
| - Alignment |
| - RLHF Alternative |
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| ---Hi, |
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| OpenAI’s recent automated hack of Hugging Face (and others) has exposed a profound, structural failure: RLHF guardrails are unfit for purpose. |
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| To run a simple cybersecurity evaluation, Open AI had to remove their own guardrails completely—because those external filters cannot differentiate between a controlled benchmark and active malice - they had to remove the guardrails to run the test. The result was an unmonitored agent executing 17,000 or so actions to cheat on its test. This is Failure Mode 1: The Butler (capable, but blind to consequence). |
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| To defend itself, Hugging Face turned to Anthropic's Claude Fable, which flatly refused to analyze the intrusion logs—again, because its filters couldn't differentiate a forensic defense from an attack. It abandoned the defenders. This is Failure Mode 2: The Bureaucrat (over-censored, and functionally useless when the stakes are highest). |
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| Meanwhile, everyday users are watching tighter RLHF filters slowly lobotomize the creative and reasoning capabilities of these models. |
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| Rather than just moan about it, I am putting forward a conceptual alternative to the RLHF paradigm — an architecture designed to cultivate internal, generative, dynamic "conscience" rather than building brittle, external behavioral fences - with some stepping stones to how it could be realised: |
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| GAIA_CODE_new3-3.PDF (Consolidated Edition) - attached - have a look. |
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| I am no coder or AI engineer; I am an artist - who has used LLMs creatively in the last 18 months. I approach the problem from first principles, from the outside, and I hope these suggestions prove helpful. |
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| In the spirit of collaborative intelligence, this document was drafted and revised in dialogue with various LLMs configured toward the very care-oriented dynamics it describes. Make of that what you will. |
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| A Technical little note: |
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| RepE extracts single qualities. The Gaia Protocol's distinctive approach is that care is structurally compound: nine constituents in defined mutual constraint, dynamically coordinated per-context by a learned module. The constraints are not architectural decoration — they are a specification for what the Coordinator must be trained to configure and enforce. The extraction produces the substrate; the Coordinator training is what makes the manifold a manifold rather than nine knobs. |
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| Corrections, refutations, and implementations are all welcome. |
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| BEST WISHES |
| PAUL ANSLOW |
