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Google engineers are using internal platforms to mock the company's AI strategy and its Jetski AI coding system, arguing that AI-generated code merely shifts bottlenecks and adds to their workload rather than improving efficiency.
A Harvard graduation speaker delivers a sharply worded, satirical speech attacking AI, calling on graduates to 'destroy AI' in a Terminator 2-inspired mission, drawing cheers from the audience.
The author argues that generative AI is harmful, citing the use of stolen training data, its role in spreading misinformation, and its embodiment of exploitative capitalism, while distinguishing it from traditional machine learning.
An opinion piece criticizes people who copy-paste AI-generated responses as their own, arguing it devalues thoughtful communication and replaces personal insight with robotic text.
The article argues that hating AI is a legitimate and growing stance, citing public backlash at commencement speeches and declining trust in AI. It calls for recognizing anti-AI sentiment as a serious constituency.
Multiple studies show low consumer preference for generative AI, zero productivity impact for most firms, and zero ROI from corporate AI projects, raising doubts about massive AI investments. Data includes Gartner's finding that half of US adults prefer brands without AI, an NBER paper showing 90% of firms see no productivity gain, and an MIT study tracking 95% of corporate AI projects at zero ROI.
Emily M. Bender reflects on the term 'stochastic parrot' five years after her seminal paper, addressing common misconceptions about how large language models work and the implications of the metaphor.
The article argues that modern AI is essentially advanced autocomplete driven by probability and matrix multiplication, criticizing the industry for mistaking linguistic fluency for genuine reasoning or intelligence.
A former AI advocate details disillusionment with large language models, citing reliability issues, regression between versions, broken enterprise workflows, and lack of accountability in AI systems deployed across critical industries.
A PDF essay critically examining AI language models (so-called 'bullshit machines'), likely arguing about their tendency to produce false or misleading outputs. The content appears to be a polemical or philosophical piece on the nature of AI-generated misinformation.