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Trump Vodka Becomes Available for Pre-Orders

https://www.forbes.com/sites/kirkogunrinde/2025/12/01/trump-vodka-becomes-available-for-pre-order...
1•stopbulying•47s ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•3m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•7m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•8m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•9m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•13m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•14m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•16m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•23m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
2•shervinafshar•24m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•29m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
9•mooreds•29m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•30m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•32m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•36m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•38m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•38m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•39m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•41m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•41m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•42m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•42m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•47m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•49m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•49m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•51m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•52m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•52m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•54m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•55m ago•0 comments
Open in hackernews

Show HN: A Constitutional Framework for Ethical AI Decision-Making

https://github.com/SebastFock/Sovereign-Engagement
2•StrategicEthos•4w ago
I've open-sourced a framework that transforms LLMs into constitutional ethics advisors. It's designed to prevent catastrophic decisions like Volkswagen's emissions scandal or Meta's Cambridge Analytica breach.

Core idea: "Dogma in constitution, pragmatism in execution"

7 Sovereign Principles (non-negotiable boundaries)

7 Engagement Principles (adaptive execution)

Canonical prompt that makes any LLM reason within these boundaries

What makes it different:

Executable, not theoretical - Comes as a prompt you can use right now

Case-study validated - Shows how it would have prevented real disasters

AI-native - Designed for LLM integration from the start

Example: Volkswagen Emissions Scandal

What happened: €30B+ penalties, criminal charges

Framework analysis: Triggers constitutional halt (S2: Integrity violation → deception)

Result: Forces honest choice: redesign, de-rate performance, or exit market

GitHub: https://github.com/SebastFock/Sovereign-Engagement

Looking for feedback:

What other historical tech disasters should we analyze?

How can we improve the prompt engineering?

What AI ethics dilemmas should we test?

How to integrate with existing AI agent frameworks?

This isn't just theory—it's ethics as executable code.

Comments

StrategicEthos•4w ago
Author here. I've been developing a constitutional framework for corporate decision-making and AI governance, which I'm sharing here as a white paper and open-source system prompt.

The core idea is an operating system based on the rule 'dogma in constitution, pragmatism in execution.' It defines seven immutable Sovereign Principles as ethical boundaries, paired with seven adaptive Engagement Principles for tactical execution. A key design feature is its AI compatibility—it's structured to allow LLMs to act as constitutional advisors, checking proposals for principle violations.

I'm sharing this to get feedback from the HN community, particularly on:

1. The applicability of the case studies (Meta's API governance dilemma, Volkswagen's emissions scandal) as tests of the framework. 2. The viability of using structured prompts to make ethical reasoning a consistent, audit-friendly process in organizations. 3. The implementation challenges of embedding such a system into existing corporate governance or product development lifecycles.

The canonical prompt and YAML framework are on GitHub (link in the submission). I'm keen to discuss the concept of 'AI as a constitutional guardrail' and whether this approach could help close the gap between having ethics policies and making ethical decisions under pressure.