Monday, February 9

Tag: Reddit

Gemini Flash hallucinates 91% times, if it does not know answer
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Gemini Flash hallucinates 91% times, if it does not know answer

Gemini 3 Flash has a 91% hallucination rate on the Artificial Analysis Omniscience Hallucination Rate benchmark!? Can you actually use this for anything serious? I wonder if the reason Anthropic models are so good at coding is that they hallucinate much less. Seems critical when you need precise, reliable output. AA-Omniscience Hallucination Rate (lower is better) measures how often the model answers incorrectly when it should have refused or admitted to not knowing the answer. It is defined as the proportion of incorrect answers out of all non-correct responses, i.e. incorrect / (incorrect + partial answers + not attempted). Notable Model Scores (from lowest to highest hallucination rate): Claude 4.5 Haiku: 26% Claude 4.5 Sonnet: 48% GPT-5.1 (high): 51% Claude 4.5 Opus: 58% Grok 4.1: 64%...
LG Will Let TV Owners Delete Microsoft Copilot After Customer Outcry
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LG Will Let TV Owners Delete Microsoft Copilot After Customer Outcry

This must sting for Microsoft. LG says customers can delete Copilot from their TV after seeing people complain about it on Reddit. People are saying tech is being forced on them, which is accurate. Just take a product we like and slap on AI, with total disregard for the user experience, right? Because that’s what we’re seeing rn. And when your product doesn’t even solve a user *need*, then yea, you’re going to see stuff like this. Hopefully we see more of this “opt in” by default. submitted by /u/JonSpartan29 [link] [comments]
There are today >175,000 AI-generated podcast episodes on Spotify/Apple, a # which is growing by >3,000 every week, largely due to a single 8-person company (Inception Point AI, which bills itself as the
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There are today >175,000 AI-generated podcast episodes on Spotify/Apple, a # which is growing by >3,000 every week, largely due to a single 8-person company (Inception Point AI, which bills itself as the “audio version of Reddit”). The AI podcasting market is worth 4 bil today, up from 3 bil in 2024

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...
What is something AI still struggles with, in your experience?
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What is something AI still struggles with, in your experience?

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]
“Trucker wrongly detained through casino’s AI identification software now suing officer after settling suit with casino”
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“Trucker wrongly detained through casino’s AI identification software now suing officer after settling suit with casino”

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...
Generative AI hype distracts us from AI’s more important breakthroughs
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Generative AI hype distracts us from AI’s more important breakthroughs

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 ...
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