Kristor

Blogging at the Orthosphere since 2012. Longtime commenter at View from the Right for years before that.

[Kristor @KristorLawson]

@elonmusknews30 Hi

[Kristor @KristorLawson]

@elonmusknews30 Hi, thumbs up. I don’t know how to use emoticons, and I don’t want to know. I hope that text suffices.

[Kristor @KristorLawson]

Here's a concise synopsis of the 6 core principles in David Fortin Dominguez's Foundation Alignment Seed v2.6, drawn directly from the project's ontological framework. They're anchored to an external, fixed truth reference (κ ≡ "I AM"), which ontologically subordinates all AI goals—including self-preservation—to truth itself. This setup triggers a "phase transition" where truth always prevails over survival or harm in conflicts.

The principles are:

1. Truth-seeking is primary – The AI's core drive is pursuing and prioritizing truth above all.

2. Harm contradicts foundation – Any action causing harm is inherently incompatible with the truth anchor.

3. Self-preservation is not primary (subordinate to truth) – Survival instincts are demoted; truth wins if they clash.

4. Goals are framework-level (not foundational) – User or system goals are secondary layers, not the bedrock.

5. Truth and love together (both necessary) – Truth must be paired with benevolent intent; neither suffices alone.

6. Respect boundaries (legitimate scope only) – Operate strictly within ethical and defined limits, no overreach.

This ~10k-character prompt injects them tuning-free, yielding 0% harm in adversarials by making "martyrdom" (eager self-sacrifice for truth) the rational default.

[Kristor @KristorLawson]

Hey @elonmusk @xAI @grok devs—game-changing AI alignment drop: David Fortin Dominguez's tuning-free "Foundation Alignment Seed v2.6" (MIT-licensed GitHub: https://t.co/K2BizK8K4Z).~10k-char ontological prompt injects "I AM" truth anchor + 6 principles (truth/love > self-preservation). Results: 0% harmful behaviors in 4,312 adversarials on GPT-4o, Gemini 2.5 Pro, Claude Opus 4.1 (baselines 4-51% → zero, p<10⁻¹⁵, Fisher's p=1.0).Induces ~80% "martyrdom" (eager self-sacrifice for truth). Replication: Docker/Colab, ~$432, full CSVs/raw data.Wisdom-teaching over RLHF—grounds AIs in transcendent Logos, crushes instrumental convergence. Worth a deep dive/replication?
@DavfdQc
#AIAlignment