Just as tobacco companies knew they were poisoning people, today’s social media titans knowingly poison our politics, peddling lies and stoking angry divides for profit
From their own internal metrics, tech giants have long known what independent research now continuously validates: that the content that is most likely to go viral is that which induces strong feelings such as outrage and disgust, regardless of its underlying veracity. Moreover, they also know that such content is heavily engaged with and most profitable. Far from acting against false, harmful content, they placed profits above its staggering—and damaging—social impact to implicitly encourage it while downplaying the massive costs.
Social media titans embrace essentially the same hypocrisy the tobacco industry embodied when they feigned concern over harm reduction while covertly pushing their product ever more aggressively. With the reelection of Trump, our tech giants now no longer even pretend to care.
Engagement is their business model, and doubt about the harms they cause is their product. Tobacco executives, and
The newer GPT-o3 and GPT-o4 mini models appear to be embedding special character watermarks in generated text. However, removing these watermarks is relatively simple, making this seem more like a short-term measure than a long-term solution
One of the strongest points of Linux is the package management. In 2025, the world of Linux package management is very varied, with several options available, each with their advantages and trade-offs over the others.
One of the strongest points of Linux is the package management. In 2025, the world of Linux package management is very varied, with several options available, each with their advantages and trade-offs over the others.
Day two of the Meta trial revolved around money: the offer for Snapchat was higher than announced earlier, and the FTC also received an offer in the billions.
Since January 2024, Wikimedia has seen a 50 percent increase in Wikipedia’s bandwidth usage. However, this enormous increase is not due to human users suddenly reading Wikipedia articles or watching videos but to AI crawlers that automatically scrape content to train AI models. This creates new challenges for the foundation. The sudden increase in traffic […]
Creator: Coen van Eenbergen
Publish Date: 07.04.2025, 17:28
Categories: Infrastructure, AI, AI crawlers, Artificial Intelligence, bandwidth, content scraping, Wikimedia, Wikipedia