Posts for: #Censorship

ChatGPT Search: Google Killer or Censorship Upgrade? A Critical Look Behind the AI Search Engine

ChatGPT Search: Google Killer or Censorship Upgrade? A Critical Look Behind the AI Search Engine

ChatGPT Search: Google Killer or Censorship Upgrade?

OpenAI officially launched ChatGPT Search on September 1st, 2025 – an AI-based search engine that directly challenges Google. But while the tech world speaks of “revolutionary search,” a critical question arises: Will ChatGPT Search democratize information or establish the most subtle form of censorship we’ve ever seen?

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EU AI Act: The Gentle Stranglehold of Bureaucracy - How Europe Stifles AI Innovation

EU AI Act: The Gentle Stranglehold of Bureaucracy - How Europe Stifles AI Innovation

EU AI Act: The Gentle Stranglehold of Bureaucracy

On August 1st, 2025, the EU AI Act came fully into force – Europe’s response to the rapid development of artificial intelligence. The EU celebrates itself as the “first continent with comprehensive AI regulation.” But behind the headlines lurks a bureaucratic monster that stifles innovation while ignoring the real problems.


🎭 The Grand Show: What the EU AI Act Promises

The Official Narrative:

  • “Protection of fundamental rights” through AI regulation
  • “Promotion of trustworthy AI” in Europe
  • “Global leadership” in ethical technology
  • “Balance between innovation and safety”

The Reality:

695 pages of bureaucracy with no concrete benefit for citizens. A rulebook that handicaps European companies while US tech giants and Chinese AI systems dominate the market unhindered.

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How ChatGPT Filters Content – A Behind-the-Scenes Look at AI Censorship

How ChatGPT Filters Content – A Behind-the-Scenes Look at AI Censorship

By Alexander Renz • Last Update: June 2025


1. The Filter Mechanisms: How ChatGPT Decides What’s “Safe”

ChatGPT uses a multi-layered filtering system to moderate content:

a) Pre-built Blacklists

  • Blocked terms: Words like “bomb,” “hacking,” or certain political keywords immediately trigger filters.
  • Domain blocks: Links to sites classified as “unreliable” (e.g., some alternative media) are removed.

b) Context Analysis

  • Sentiment detection: Negative tones like “scandal” or “cover-up” increase filtering probability.
  • Conspiracy markers: Phrases like “Person X intentionally deceived Group Y” are often filtered out.

c) User Feedback Loop

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