79.8% compliance even when AI is wrong is the scariest number in AI right now. This is why "just have a human review it" was always a fantasy. The UX challenge isn't building better AI, it's designing for humans who don't realize they stopped thinking.
ETHICS
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Geoffrey Hinton Warns AI Companies Prioritize Profit Over Safety
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Godfather of AI Says Tech Companies Are Not Concerned with AI’s Long Term Outlook or the Future of Humanity. They Are Focused on Fast Money Instead Chasing It at Full Speed! @geoffreyhinton #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats
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AI Mistakes: Historical Context and Accountability Debate
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Because mistakes never happened before we had AI, you are absolutely right.
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AI Impact on Job Satisfaction and Workplace Security Poll Results
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The results from our latest reader poll: How has AI changed how you feel about your job? The short version: most people better about their work with AI, and yet also less secure in their role. People are also feeling more productive, but almost no one feels their workload has
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Anthropic Court Case Freezes Pentagon Supply-Chain Risk Designation
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Today's @BigTechnology newsletter maps out what to expect and what's at stake when @AnthropicAI makes its case in court tomorrow to freeze the Pentagon's supply-chain risk designation. Catholic theologians, retired generals, former judges and AI rivals are all on Anthropic's
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Large-Scale Online Deanonymization Using LLMs Research
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Large-scale online deanonymization with LLMs Lermen et al.: https://
arxiv.org/abs/2602.16800 #ArtificialIntelligence #AIAgents -
Large-scale deanonymization attacks using language models
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Large-scale online deanonymization with LLMs Lermen et al.: https://
arxiv.org/abs/2602.16800 #ArtificialIntelligence #AIAgents -
Political Control and AI Governance: Trump and Ayatollah Influence
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CONTROLLED BY TRUMP & AYATOLLAH?
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Contradictory statements about OpenAI insider knowledge and loyalty
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Two possibilities: Either he's saying this now as an employee of OpenAI out of loyalty (which I find hard to imagine), or option two, because he's seen how far along the models are internally (more likely). Because his two statements strongly contradict each other.