'New America', George Washington meet & De Niro jibe: Trump unleashes AI slop
We haven't written up this one. Times of India has the full story — the link below goes straight to it.
More in AI
AI Solutions for Managing Large Codebases: 2026 Guide
Originally published at nlocoding.com 57 million lines. That’s how much code Google maintains across its repositories as of 2026 (GitHub Octoverse, 2026). And no, it doesn’t crash every Friday.
- Google manages 57 million lines of code, a number set to rise
- Codebase bloat delays feature delivery by 43% for large teams
- AI code search reduces discovery time by 68% compared to manual methods
A one-day GenAI workshop syllabus for colleges (hands-on, no fluff)
Colleges ask for GenAI workshops and get slide decks about the history of neural networks. Students should leave a workshop with something running that they built, and a way to tell whether it works.
- One-day GenAI workshop focuses on hands-on learning for practical project completion
- Students equipped with laptops, Python knowledge, and code editor for workshop
- Workshop includes PDF notes, manuals, and rulebook for post-session reference
The app speaks 19 languages: tiered i18n and the AI translation pipeline
The codebase survey was blunt: zero i18n infrastructure , roughly 660 user-facing text nodes across 53 files, a dozen alert dialogs, forty toasts, screen titles scattered across layout files.
Public beta: a decision-governance runtime for AI agents
I’ve released the Productive Value-Productive Power (PV-PP) Runtime API v0.70 as a public beta. It is designed for agent decisions where constraints, viability, recovery, state and different forms of…
I pre-registered a study on AI visibility signals. The main result was null.
Originally published on angeo.dev . Full tables, p-values and the sealed plan are there. Most claims about AI visibility are untestable by design: publish the signals, wait, attribute anything good…
- Study pre-registered to examine AI visibility signals in businesses
- Four technical signals analyzed across 458 product-level questions
- No significant difference found between businesses mentioning AI once vs. repeatedly