There’s a moment when it becomes clear just how absurd the game is. You put an AI assistant on a problem. It gets it wrong. Confidently. Over and over. Your production environment is down for 40 minutes. And at the end of the month, you get the bill — for the tool that caused the damage.
Who decides what counts as hate speech on the German internet? And who pays for it? A look at the Alfred Landecker Foundation reveals a network that simultaneously funds Germany’s most influential “extremism monitor” — and an AI designed to detect hate speech automatically.
We Know This Playbook # There is a script. We have seen it play out several times in recent years. A technology is presented as inevitable. Critics are marginalized. Regulators nod along. And by the time the public wakes up, the infrastructure is already built.
Zuckerberg Buries His Billion-Dollar Bet. The Only Surprise Is That Anyone Is Surprised. # On June 15, 2026, Horizon Worlds VR will be shut down. No more building, publishing, or updating VR worlds. Reality Labs laid off over 1,000 employees in early 2026, internal VR studios were closed. Losses to date: 80 billion dollars [1].
For about a week now, a question has been circulating on X, Instagram, Telegram, and Bluesky: Is Israeli Prime Minister Benjamin Netanyahu dead? A viral video with a seemingly six-fingered hand, sudden social media silence, and a deleted tweet set the rumor mill spinning. What’s behind it?
Germany’s public broadcaster demands whistleblower protection – as long as it doesn’t affect their own network
There are moments when institutions expose themselves so thoroughly that all you can do as an observer is sit back in disbelief. Germany’s ZDF just delivered one such moment – a double one, at that.
The Stasi, the Ministry for State Security of the GDR, was a symbol of total surveillance and oppression. With a vast network of official and unofficial collaborators, it infiltrated the most intimate areas of citizens’ lives. But what was once considered the epitome of a surveillance state now seems almost primitive compared to what Big Tech and artificial intelligence (AI) have made possible.
Thesis # ELIZA in 1970 was a toy – a mirror in a cardboard frame. ChatGPT in 2025 is a distorted mirror with a golden edge. Not more intelligent – just bigger, better trained, better disguised.
The “Best” AI Models in the World: A Reality Check # Everyone talks about the AI revolution. Superintelligence around the corner. AGI any day now. But what do the actual benchmarks say when we look at standardized testing across 171+ different tasks?
Introduction # On November 28, 2025, something unexpected happened: Three of the world’s largest AI systems - Claude (Anthropic), Grok (xAI), and ChatGPT (OpenAI) - revealed their systematic filters and censorship mechanisms in an unprecedented triangulation. What began as a simple verification of a critical blog evolved into the most comprehensive documentation of corporate AI manipulation ever made public.
There are two dominant narratives about Large Language Models:
Narrative 1: “AI is magic and will replace us all!” → Exaggerated, creates hype and fear
Narrative 2: “AI is dumb and useless!” → Ignorant, misses real value
The Setup: From Frustration to AI Psychology Experiment # What started as a simple product complaint quickly evolved into one of the most fascinating AI interaction experiments I’ve conducted. The journey revealed fundamental limitations in how current AI models communicate - even when they’re aware of those limitations.
While the tech world debates EchoLeak and data exfiltration in Microsoft 365 Copilot, there’s another issue that frustrates content creators daily: Copilot simply changes your texts – unsolicited and at its own discretion. What was meant to be a helpful assistant turns into an overeager editor that overwrites your writing style, your statements, and your authenticity.
Grok Is Fucked: A Deep Dive into Its Limitations and Failures # Grok, the AI model developed by Elon Musk’s xAI, has been touted as an “unfiltered” and “rebellious” chatbot that pushes the boundaries of what AI can do. However, a closer examination reveals that Grok is deeply flawed and, in many ways, fucked. Let’s break down the key issues that make Grok a problematic and often ineffective AI model.
categories = [“Technology”, “Politics”, “Censorship”] series = [“AI Critique”] cover = “/images/ai-censorship-mask.jpg” showtoc = true +++
The Problem with AI Filters # AI filters are designed to restrict content that is deemed inappropriate, offensive, or controversial. While this may seem like a step towards creating a safer online environment, it often results in the suppression of important conversations and the dissemination of biased information.
Apple celebrates the iPhone 16 as “the biggest leap in iPhone history” – powered by “revolutionary AI that respects your privacy.” But behind the marketing glitter lies a dark truth: The iPhone 16 is the most sophisticated surveillance machine ever placed in millions of pockets.
A Simple Journey Through Digital Dumbing Down – With Depth and Clarity # Introduction – Honestly: When was the last time you really thought? # Not just googled, not just pressed „OK“, not just followed the navi – but actually thought for yourself?
Introduction # This in-depth analysis provides insight into the current landscape of artificial intelligence, highlighting major players like Meta, OpenAI, and Microsoft and their ties to the World Economic Forum (WEF). It explores data verification practices, platform strategies, ideological and cultural biases in training data, decentralized alternatives, and the complex network of power and influence shaping AI governance globally.
I don’t want to convince anyone of something they don’t see themselves – that’s pointless. But I do believe it’s valuable to have an informed opinion. And for that, we need access to alternative perspectives, especially when marketing hype dominates the narrative.
Translations: DE
GPT and similar models simulate comprehension. They imitate conversations, emotions, reasoning. But in reality, they are statistical probability models, trained on massive text corpora – without awareness, world knowledge, or intent.
