Tag: Reddit

Source (November 2025): "Inception Point AI [is] a startup with just eight employees cranking out 3,000 episodes a week covering everything from localized weather reports and pollen trackers to a detailed account of Charlie Kirk’s assassination and its cultural impact, to a biography series on Anna Wintour. Its podcasting network Quiet Please has generated 12 million lifetime episode downloads and amassed 400,000 subscribers — so, yes, people are really listening to AI podcasts. [...] The price is now so inexpensive that you can take a lot of risks [...] At a cost of $1 an episode, [the approach is] quantity-over-quality" Source (December 2025): "The artificial intelligence (AI) in podcasting market size has grown exponentially in recent years. [...] The growth in the historic period...

This year, AI has improved a lot, but it still feels limited in some situations. Not in theory, but in everyday use. I want to know what you guys have noticed. What type of tasks and situations still feel hard for today's AI systems, even with all the progress? submitted by /u/Govind_goswami [link] [comments]

My question is about reliance on facial recognition software, and more generally about reliance on AI. Here are two links to stories about a recent incident. A website covering truckers: "Trucker wrongly detained through casino’s AI identification software now suing officer after settling suit with casino", and second, the bodycam footage (on YouTube) which captures the arresting officer talking about his (in my opinion) extreme reliance on AI. Here are the important details: A man was detained and then arrested based on a facial recognition system. There was a large amount of evidence available to the arresting officer that the man was falsely identified. For example, he had multiple pieces of documentation indicating his correct identity, and multiple pieces of evidence that would point...

submitted by /u/ControlCAD [link] [comments]

submitted by /u/businessinsider [link] [comments]

It's a seductive distraction from the advances in AI that are most likely to improve or even save your life Having done my PhD on AI language generation (long considered niche), I was thrilled we had come this far. But the awe I felt was rivaled by my growing rage at the flood of media takes and self-appointed experts insisting that generative AI could do things it simply can’t, and warning that anyone who didn’t adopt it would be left behind. This kind of hype has contributed to a frenzy of misunderstandings about what AI actually is and what it can and cannot do. Crucially, generative AI is a seductive distraction from the type of AI that is most likely to make your life better, or even save it: Predictive AI. In contrast to AI designed for generative tasks, predictive AI involves ...

submitted by /u/404mediaco [link] [comments]

submitted by /u/rohanad1986 [link] [comments]

I am not someone building AI tools, just a regular user, and 2025 is the first year I really felt AI slip into everyday life. Writing, searching, learning, even thinking through problems feels different now. Not better or worse, just different. As we move into 2026, how has AI personally changed the way you work, learn, or make decisions? submitted by /u/Govind_goswami [link] [comments]