---
title: "#Industry Insights - AFeng Blog"
url: "https://afengblog.com/en/tag/industry-insights"
language: "en"
total: 2
---

# Tags: Industry Insights

- [Four AI Giants Back a Shared robots.txt Training Opt-Out — Why Indie Bloggers Should Drop the Anti-Scraping Obsession](https://afengblog.com/en/blog/ai-giants-unified-robots-txt-indie-web-openness.html) (2026-11-03 · Reflections): On October 30, 2026, OpenAI, Google, Microsoft, and Anthropic jointly backed __usage_ai-training, a shared robots.txt token for opting out of generative AI model training — yet the draft leaves live RAG traffic siphoning untouched and cannot stop 30% rogue bot defiance or residential proxy scrapers. Now that the desktop search traffic era has faded, unless you run a high-density human community like linux.do, indie site owners are far better off dropping sprawling crawler blocklists, opening content to search, AI engines, and human readers alike, and building defensible moats in monetizable products.
- [Inside GPT-6 Rosalind — Same Weights as Astra, While OpenAI Charges 50% More to Relax Safety Guardrails](https://afengblog.com/en/blog/gpt-6-rosalind-same-weights-selling-permissions.html) (2026-11-03 · AI Exploration): OpenAI prices its flagship life sciences model GPT-6 Rosalind Research at $15/$75 per million tokens—a 50% premium over general-purpose GPT-6 Astra—yet its official system card admits both models share 100% identical weights and zero new training data. By tracing how cutting biosecurity refusals from 29.2% to 9.4% unlocks latent capability, this analysis unpacks how frontier AI labs turn safety sandboxes into zero-marginal-cost licensing valves and outlines a hybrid routing architecture that trims API spend by 33.3%.