Just today, I was asked how I felt watching people fall for AI hype. Exasperated. Exasperated is how I feel. Can we just NOT?
@emilymbender
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Meta’s Evasive Response to AI Technology Failures Criticized
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The absolute obliviousness of Meta (the company)'s response in this article is astounding: "this is new technology and it may not always return the response we intend". The desired output here is actually easy to achieve: don't.
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Funniest and Most Accurate AI Commentary Today
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The best thing you will read about "AI" today. LOL funny + spot on.
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Logitech’s AI Ease Problem: Synthetic Information Overload
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"Gen AI" is sold as making things easy ("produce art", "write novels" etc). So it's telling to see Logitech doubling down on making it even easier. We aren't dispensing enough of the synthetic info? Maybe the problem isn't that it takes too many clicks.
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Defensiveness in Computer Science Culture: A Social Dynamic
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I might ask why you are so defensive? It seems like anytime I say anything about the culture of CS you show up in my mentions.
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CS Researchers Overlooking Recent Relevant Papers in Research
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So is the dumping part pointing out the highly relevant (and famous, thanks to Google making an enormous scene about it) paper that he apparently missed, or the (quite commonplace) remark about CS researchers considering anything over ~6 months old to be irrelevant?
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Computer Science Short Memory: Historical Context in AI Research
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Define 'we'. Also, I knew that CS types had short memories, but really? https://
dl.acm.org/doi/10.1145/34
42188.3445922
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Microsoft AI Training Data Transparency Concerns Raised
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Finally, as is usual and *completely unacceptable* the public does not have information about the training data used to build this thing, just the info that Microsoft made it.
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RAG Cannot Prevent AI Hallucinations and Misinformation
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Also, it's worth noting that RAG (retrieval augmented generation) doesn't fix the problem. See those nice links into NYC web pages? Not stopping the system from *making shit up*. (Second column is chatbot response, third is journalist's report on the actual facts.) >>
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LLMs Fundamentally Designed to Generate Inaccurate Content
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It seems to bear repeating: chatbots based on large language models are designed to *make shit up*. This isn't a fixable bug. It's a fundamental mismatch between tech and task. >>