Release v1.2.0: Newspaper-style layout with major UI refinements

This release transforms PING into a sophisticated newspaper-style digital
publication with enhanced readability and professional presentation.

Major Features:
- New FeaturedPostHero component with full-width newspaper design
- Completely redesigned homepage with responsive newspaper grid layout
- Enhanced PostCard component with refined typography and spacing
- Improved mobile-first responsive design (mobile → tablet → desktop → 2XL)
- Archive section with multi-column layout for deeper content discovery

Technical Improvements:
- Enhanced blog post validation and error handling in lib/blog.ts
- Better date handling and normalization for scheduled posts
- Improved Dockerfile with correct content volume mount paths
- Fixed port configuration (3025 throughout stack)
- Updated Tailwind config with refined typography and newspaper aesthetics
- Added getFeaturedPost() function for hero selection

UI/UX Enhancements:
- Professional newspaper-style borders and dividers
- Improved dark mode styling throughout
- Better content hierarchy and visual flow
- Enhanced author bylines and metadata presentation
- Refined color palette with newspaper sophistication

Documentation:
- Added DESIGN_BRIEF_NEWSPAPER_LAYOUT.md detailing design principles
- Added TESTING_RESULTS_25_POSTS.md with test scenarios

This release establishes PING as a premium publication platform for
AI orchestration and contextual intelligence thought leadership.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

content.bak/posts/2025/03/2025-03-05-neural-symbolic.md

@@ -0,0 +1,24 @@
+---
+title: "Neural-Symbolic AI: Bridging Intuition and Logic"
+description: "Neural-Symbolic AI: Bridging Intuition and Logic"
+date: "2025-03-05"
+publishDate: "2025-03-05T09:00:00.000Z"
+author:
+  name: "Anthony Rawlins"
+  role: "CEO & Founder, CHORUS Services"
+tags:
+  - "symbolic ai"
+  - "neural ai"
+  - "hybrid architectures"
+featured: false
+---
+
+Modern hybrid architectures integrate neural and symbolic components so seamlessly that AI can switch between intuition-driven and logic-driven reasoning depending on the task. It’s not just a connection—it’s a continuous reasoning interface that adapts dynamically.
+
+What makes this powerful is the ability to learn symbolic structures from data. AI can discover new rules and relationships while maintaining logical consistency, bridging gaps where some knowledge is explicit and other patterns must emerge from observation.
+
+Explainability is also transformed. Systems can provide intuitive insights from learned patterns alongside logical reasoning chains, helping humans understand both what decisions are made and why. Hierarchical context models, like those underpinning UCXL, help structure this reasoning across multiple layers and over time, linking past decisions, causal relationships, and future implications.
+
+Early-access participants will get a first-hand look at how these hybrid reasoning processes operate in practice, exploring how AI can combine intuition and logic in ways that feel collaborative, transparent, and auditable.
+
+In short: AI that can think, learn, and explain itself—bridging the best of both worlds.