Spanish laws published as version-controlled Git repository.
Model for verifiable, independent publishing infrastructure.
Add as case study to NowPage 'why Git' documentation.
Legislation as live document.
Git as governance.
Forking the legal system.
Position HC Protocol as next evolution of this model.
Missed analogy to cryptographic provenance.
Track C — Banked Signals (11) ▾
CSS is DOOMed 11 Technical demo with high verifiability but no thesis connection.
A Verilog to Factorio Compiler and Simulator (Working RISC-V CPU) 11 Technical novelty with high verifiability but no thesis link.
I turned my Kindle into my own personal newspaper 11 Personal automation example but weak thesis connection.
I Built an Open-World Engine for the N64 [video] 11 Technical achievement with high verifiability but no thesis link.
Linux is an interpreter 11 Systems thinking with weak thesis connections.
Android’s new sideload settings will carry over to new devices 14 Platform policy change with minor HC Protocol relevance (N=3).
The Last Contract: William T. Vollmann's Battle to Publish an Epic (2025) 14 Publishing struggle aligns with HC Protocol Trust (N=4) but lacks urgency.
The first 40 months of the AI era 14 Platform Layer Bet thesis (N=4) — consolidation patterns but no new data.
OpenCiv1 – open-source rewrite of Civ1 11 Nostalgic project with high verifiability but no thesis link.
What if AI doesn't need more RAM but better math? 12 Technical speculation with weak Cost Collapse connection (N=3).
Today's analysis demonstrates the critical need for verifiable publishing infrastructure in a world increasingly shaped by AI. These signals build upon our ongoing investigation into the interplay between protocol trust and tailored expertise, further illuminating potential pathways to a fundamentally more resilient and reliable information ecosystem.
The Stanford study highlighting AI's excessive affirmation underscores the necessity of domain-specific AI. LLMs, without calibrated judgment, can provide misleading or harmful advice. This validates the Expert Factory thesis, emphasizing the need for AI grounded in vetted knowledge and ethical consideration. The key insight is that uncritical affirmation by AI poses a significant liability. Track A
Spain's publishing of laws as a Git repository sets a precedent for verifiable and independent governance. This approach ensures transparency and invites public scrutiny, fostering trust in the legal system. Open access to legislation's history enables easier identification of inconsistencies and facilitates informed participation. The key insight lies in leveraging version control for accountable governance. Track A
The advancements on Knuth's "Claude Cycles" problem by a hybrid AI/human team showcases the power of precision workflows using proof assistants. It demonstrates the potential for AI to augment human capabilities in validating complex logical systems. The successful collaboration validates the Spec Is Code thesis, proving that specifications can be directly translated into verifiable code. The key insight is about verifiable proofs arising from collaborative human + AI problem-solving. Track B
The decompilation of the White House's app exposes the inherent platform risks associated with reliance on third-party dependencies. Reverse engineering reveals the complex supply chain of trust involved, highlighting how vulnerable even sovereign entities are to invisible liabilities. It furthers the sovereign publishing thesis. The key insight here centres on the unseen dependencies influencing sovereign digital infrastructure. Track B
Today's scoring rubric successfully processed a diverse range of signals, effectively routing them across Tracks A and B based on their relevance to our ongoing investigations. Specifically, the rubric identified key signals related to the interplay between AI capabilities, verifiable governance, and the rising need for sovereign publishing infrastructure. This demonstrates the rubric's capacity to surface signals aligning with our primary thesis on the evolution of trusted information systems.
Track A signals converge around the critical theme of trustworthy AI in public infrastructure. The Spanish legislation as a Git repository exemplifies proactive, verifiable data protocol implementations, building immediate trust, counter-balanced by emergent over-affirmation traits in LLMs, indicating potentially critical liabilities in deployment of the same systems. Successfully balancing these signals dictates whether individuals trust infrastructure built atop these new systems. To truly benefit from this rapidly developing technology, developers must consider and mitigate potential for catastrophic misapplication.
We didn't label a Track C signal today; however, the underlying theme of precision workflows, observed in Track B, deserves closer scrutiny. By bridging intuitions and formalism, precision workflows will have cascading impact on how humans write, secure, and govern software in coming years. This area of focus continues to merit forward series analysis into the implications of high-precision code and its role in future digital infrastructure.
NOW → 30 DAYS
AI Calibration Experiments Stanford's findings inform the design of controlled experiments aiming to calibrate AI affirmation levels in specific advisory contexts. The immediate need is to quantify the impact of overly affirming AI and define acceptable ranges of judgment within defined use-cases. Immediate goal: define and quantify AI affirmation bias.
2026
Sovereign App Audits Increased scrutiny of government-issued applications is expected, driven by concerns about third-party dependencies and potential vulnerabilities. Public discourse will shift towards demanding greater transparency and control over digital infrastructure. Key Trend: citizens auditing digital systems they rely on.
2026-2027
Formalization of Legal Code Git-based legislation models will be adopted by other jurisdictions. Legal professionals will begin to develop tools that automate code review of updated legal code as a key feature of their work, fostering easier independent verification and analysis, and reducing corruption vulnerabilities. Crucial Milestone: transparent, auditable law.
THE ARC
Trust By Protocol A paradigm shift towards "trust by protocol" emerges, where verifiable data protocols and transparent code replace blind faith in institutions and platforms. This architecture enables greater civic participation and accountability in both the governance and AI sectors, and establishes a foundation for a more resilient digital world. End Goal: verifiable digital systems.
TODAY
Launch the internal testing suite for a calibrated affirmation module which reduces over-affirmation from LLMs. Build a prototype system featuring a de-biasing tool for LLMs.
THIS WEEK
Publish a detailed report outlining best practices for auditing third-party dependencies in critical software systems. Detail the process for building verifiable app supply chains.
BEFORE NEXT MILESTONE
Develop pilot program for legal professionals to use Git-based legislative frameworks, establishing a streamlined workflow. Deliver a version-controlled law guide for practitioners.
THE ARC
Create the formal structures ensuring transparency and verifiability of governance and AI systems. Achieve a framework of "trust by protocol" for critical infrastructure.