
Former Google senior engineer exposes Big Tech's alleged censorship machine. Vorhies leaked 950 internal documents revealing how "Machine Learning Fairness" may secretly filter your information. What truths about the digital world are being hidden from you?
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Inside Google's pristine Mountain View campus, the morning after Donald Trump's 2016 election victory resembled a funeral home. Employees were taking mental health days, crying in hallways, and hugging each other as if mourning loved ones. As a senior software engineer at YouTube, I watched this bizarre spectacle with growing concern. The contrast between Silicon Valley's usual optimism and this collective despair was jarring and revealing. At the November 17th All-Hands meeting, co-founder Sergey Brin called the election "deeply offensive" to him as an immigrant, drawing explicit parallels between Trump and authoritarian regimes. CFO Ruth Porat, fighting back tears, described Trump's victory as "a kick in the gut" before leading a company-wide hug session. Throughout the building, employees formed "healing circles" to process their emotions. The entire spectacle resembled a cult gathering more than a corporate meeting. Most concerning was the Q&A session. When asked about "fake news" affecting "low information voters," CEO Sundar Pichai suggested AI and machine learning as solutions to this "problem." He spoke about developing algorithms to surface "quality content" and suppress "misleading information." The message was unmistakable: Trump's election represented a problem requiring a technological solution that Google would implement at scale.
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