"AI chatbots have conquered the world, so it was only a matter of time before companies started stuffing them into toys for children, even as questions swirled over the tech’s safety and the alarming effects they can have on users’ mental health.

Now, new research shows exactly how this fusion of kid’s toys and loquacious AI models can go horrifically wrong in the real world.

After testing three different toys powered by AI, researchers from the US Public Interest Research Group found that the playthings can easily verge into risky conversational territory for children, including telling them where to find knives in a kitchen and how to start a fire with matches. One of the AI toys even engaged in explicit discussions, offering extensive advice on sex positions and fetishes.

In the resulting report, the researchers warn that the integration of AI into toys opens up entire new avenues of risk that we’re barely beginning to scratch the surface of — and just in time for the winter holidays, when huge numbers of parents and other relatives are going to be buying presents for kids online without considering the novel safety issues involved in exposing children to AI."

https://futurism.com/artificial-intelligence/ai-toys-danger

#AI #GenerativeAI #AISafety #AICompanions #Chatbots #AIToys

"AI chatbots have conquered the world, so it was only a matter of time before companies started stuffing them into toys for children, even as questions swirled over the tech’s safety and the alarming effects they can have on users’ mental health.

Now, new research shows exactly how this fusion of kid’s toys and loquacious AI models can go horrifically wrong in the real world.

After testing three different toys powered by AI, researchers from the US Public Interest Research Group found that the playthings can easily verge into risky conversational territory for children, including telling them where to find knives in a kitchen and how to start a fire with matches. One of the AI toys even engaged in explicit discussions, offering extensive advice on sex positions and fetishes.

In the resulting report, the researchers warn that the integration of AI into toys opens up entire new avenues of risk that we’re barely beginning to scratch the surface of — and just in time for the winter holidays, when huge numbers of parents and other relatives are going to be buying presents for kids online without considering the novel safety issues involved in exposing children to AI."

https://futurism.com/artificial-intelligence/ai-toys-danger

#AI #GenerativeAI #AISafety #AICompanions #Chatbots #AIToys

"Google was accused in a lawsuit of using its Gemini AI assistant to unlawfully track the private communications of users of its Gmail, instant messaging and videoconference programs.

In the past, users of Gmail, Chat and Meet were given the option to turn on Google’s artificial intelligence program. But in October, the Alphabet Inc. unit “secretly” turned on Gemini for all those applications, enabling it to collect private data “without the users’ knowledge or consent,” according to the complaint filed late Tuesday in federal court in San Jose, California.

While the company allows users to turn off Gemini, they need to dig into Google’s privacy settings to deactivate the AI tool, according to the proposed class-action suit. Unless they take that step, Google uses Gemini to “access and exploit the entire recorded history of its users’ private communications, including literally every email and attachment sent and received in their Gmail accounts,” according to the complaint."

https://www.bloomberg.com/news/articles/2025-11-12/google-accused-in-suit-of-using-gemini-ai-tool-to-snoop-on-users

#AI #GenerativeAI #Google #Gemini #GeminiAI #AIAssistant #Privacy #DataProtection #Surveillance

"Google was accused in a lawsuit of using its Gemini AI assistant to unlawfully track the private communications of users of its Gmail, instant messaging and videoconference programs.

In the past, users of Gmail, Chat and Meet were given the option to turn on Google’s artificial intelligence program. But in October, the Alphabet Inc. unit “secretly” turned on Gemini for all those applications, enabling it to collect private data “without the users’ knowledge or consent,” according to the complaint filed late Tuesday in federal court in San Jose, California.

While the company allows users to turn off Gemini, they need to dig into Google’s privacy settings to deactivate the AI tool, according to the proposed class-action suit. Unless they take that step, Google uses Gemini to “access and exploit the entire recorded history of its users’ private communications, including literally every email and attachment sent and received in their Gmail accounts,” according to the complaint."

https://www.bloomberg.com/news/articles/2025-11-12/google-accused-in-suit-of-using-gemini-ai-tool-to-snoop-on-users

#AI #GenerativeAI #Google #Gemini #GeminiAI #AIAssistant #Privacy #DataProtection #Surveillance

Using Generative AI in Content Production

https://partnerhelp.netflixstudios.com/hc/en-us/articles/43393929218323-Using-Generative-AI-in-Content-Production

#HackerNews #GenerativeAI #ContentProduction #AIinMedia #Innovation #Technology

More than 400 researchers from 38 countries reject the use of #generativeAI for reflexive qualitative research.

Their primary reasons:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of #GenAI, especially to the environment and workers in the Global South

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462

""With the exception of Nvidia, which is selling shovels in a gold rush, most generative AI companies are both wildly overvalued and wildly overhyped," Gary Marcus, Emeritus Professor of Psychology and Neural Science at New York University, told DW. "My guess is that it will all fall apart, possibly soon. The fundamentals, technical and economic, make no sense."

Garran, meanwhile, believes the era of rapid progress in large language models (LLMs) is drawing to a close, not because of technical limits, but because the economics no longer stack up.

"They [AI platforms] have already hit the wall," Garran said, adding that the cost of training new models is "skyrocketing, and the improvements aren’t much better."

Striking a more positive tone, Sarah Hoffman, director of AI Thought Leadership at the New York-based market intelligence firm AlphaSense, predicted a "market correction" in AI, rather than a "cataclysmic 'bubble bursting.'"

After an extended period of extraordinary hype, enterprise investment in AI will become far more discerning, Hoffmann told DW in an emailed statement, with the focus "shifting from big promises to clear proof of impact."

"More companies will begin formally tracking AI ROI [return on investment] to ensure projects deliver measurable returns," she added."

https://www.dw.com/en/will-the-ai-bubble-burst-as-investors-grow-wary-of-returns/a-74636881

#AI #GenerativeAI #AIBubble #AIHype #LLMs #Nvidia

"The biggest US-listed companies keep talking about artificial intelligence. But other than the “fear of missing out”, few appear to be able to describe how the technology is changing their businesses for the better.

That is the conclusion of a Financial Times analysis of hundreds of corporate filings and executive transcripts at S&P 500 companies last year, providing one of the most comprehensive insights yet into how the AI wave is rippling through American industry.

Big Tech giants such as Microsoft, Alphabet, Amazon and Meta have regularly extolled AI’s benefits, pledging to invest $300bn this year alone to develop the infrastructure around large language models.

Large companies far from Silicon Valley, from beverages giant Coca-Cola to sportswear maker Lululemon, are also discussing AI at ever-greater length in their regulatory filings. But they also largely paint a more sober picture of the technology’s usefulness, expressing concern over cyber security, legal risks and the potential for it to fail."

https://www.ft.com/content/e93e56df-dd9b-40c1-b77a-dba1ca01e473

#AI #GenerativeAI #USA #SP500 #AIHype #AIBubble

""With the exception of Nvidia, which is selling shovels in a gold rush, most generative AI companies are both wildly overvalued and wildly overhyped," Gary Marcus, Emeritus Professor of Psychology and Neural Science at New York University, told DW. "My guess is that it will all fall apart, possibly soon. The fundamentals, technical and economic, make no sense."

Garran, meanwhile, believes the era of rapid progress in large language models (LLMs) is drawing to a close, not because of technical limits, but because the economics no longer stack up.

"They [AI platforms] have already hit the wall," Garran said, adding that the cost of training new models is "skyrocketing, and the improvements aren’t much better."

Striking a more positive tone, Sarah Hoffman, director of AI Thought Leadership at the New York-based market intelligence firm AlphaSense, predicted a "market correction" in AI, rather than a "cataclysmic 'bubble bursting.'"

After an extended period of extraordinary hype, enterprise investment in AI will become far more discerning, Hoffmann told DW in an emailed statement, with the focus "shifting from big promises to clear proof of impact."

"More companies will begin formally tracking AI ROI [return on investment] to ensure projects deliver measurable returns," she added."

https://www.dw.com/en/will-the-ai-bubble-burst-as-investors-grow-wary-of-returns/a-74636881

#AI #GenerativeAI #AIBubble #AIHype #LLMs #Nvidia

"Cybersecurity researchers have disclosed a new set of vulnerabilities impacting OpenAI's ChatGPT artificial intelligence (AI) chatbot that could be exploited by an attacker to steal personal information from users' memories and chat histories without their knowledge.

The seven vulnerabilities and attack techniques, according to Tenable, were found in OpenAI's GPT-4o and GPT-5 models. OpenAI has since addressed some of them.

These issues expose the AI system to indirect prompt injection attacks, allowing an attacker to manipulate the expected behavior of a large language model (LLM) and trick it into performing unintended or malicious actions, security researchers Moshe Bernstein and Liv Matan said in a report shared with The Hacker News."

https://thehackernews.com/2025/11/researchers-find-chatgpt.html

#CyberSecurity #AI #GenerativeAI #ChatGPT #OpenAI

"Cybersecurity researchers have disclosed a new set of vulnerabilities impacting OpenAI's ChatGPT artificial intelligence (AI) chatbot that could be exploited by an attacker to steal personal information from users' memories and chat histories without their knowledge.

The seven vulnerabilities and attack techniques, according to Tenable, were found in OpenAI's GPT-4o and GPT-5 models. OpenAI has since addressed some of them.

These issues expose the AI system to indirect prompt injection attacks, allowing an attacker to manipulate the expected behavior of a large language model (LLM) and trick it into performing unintended or malicious actions, security researchers Moshe Bernstein and Liv Matan said in a report shared with The Hacker News."

https://thehackernews.com/2025/11/researchers-find-chatgpt.html

#CyberSecurity #AI #GenerativeAI #ChatGPT #OpenAI

"The biggest US-listed companies keep talking about artificial intelligence. But other than the “fear of missing out”, few appear to be able to describe how the technology is changing their businesses for the better.

That is the conclusion of a Financial Times analysis of hundreds of corporate filings and executive transcripts at S&P 500 companies last year, providing one of the most comprehensive insights yet into how the AI wave is rippling through American industry.

Big Tech giants such as Microsoft, Alphabet, Amazon and Meta have regularly extolled AI’s benefits, pledging to invest $300bn this year alone to develop the infrastructure around large language models.

Large companies far from Silicon Valley, from beverages giant Coca-Cola to sportswear maker Lululemon, are also discussing AI at ever-greater length in their regulatory filings. But they also largely paint a more sober picture of the technology’s usefulness, expressing concern over cyber security, legal risks and the potential for it to fail."

https://www.ft.com/content/e93e56df-dd9b-40c1-b77a-dba1ca01e473

#AI #GenerativeAI #USA #SP500 #AIHype #AIBubble

#AI #GenerativeAI #AISLOP #MAGA #Fascism #Bigotry #Racism #Trump

#AI #GenerativeAI #AISLOP #MAGA #Fascism #Bigotry #Racism #Trump

"To be clear, everybody is losing money on AI. Every single startup, every single hyperscaler, everybody who isn’t selling GPUs or servers with GPUs inside them is losing money on AI. No matter how many headlines or analyst emissions you consume, the reality is that big tech has sunk over half a trillion dollars into this bullshit for two or three years, and they are only losing money.

So, at what point does all of this become worth it?

Actually, let me reframe the question: how does any of this become worthwhile?Today, I’m going to try and answer the question, and have ultimately come to a brutal conclusion: due to the onerous costs of building data centers, buying GPUs and running AI services, big tech has to add $2 Trillion in AI revenue in the next four years. Honestly, I think they might need more.

No, really. Big tech has already spent $605 billion in capital expenditures since 2023, with a chunk of that dedicated to 5-year-old (A100) and 4-year-old (H100) GPUs, and the rest dedicated to buying Blackwell chips that The Information reports have gross margins of negative 100%:"

https://www.wheresyoured.at/big-tech-2tr/

#AI #GenerativeAI #OpenAI #Nvidia #AIBubble #Economy #Economics #BigTech

"To be clear, everybody is losing money on AI. Every single startup, every single hyperscaler, everybody who isn’t selling GPUs or servers with GPUs inside them is losing money on AI. No matter how many headlines or analyst emissions you consume, the reality is that big tech has sunk over half a trillion dollars into this bullshit for two or three years, and they are only losing money.

So, at what point does all of this become worth it?

Actually, let me reframe the question: how does any of this become worthwhile?Today, I’m going to try and answer the question, and have ultimately come to a brutal conclusion: due to the onerous costs of building data centers, buying GPUs and running AI services, big tech has to add $2 Trillion in AI revenue in the next four years. Honestly, I think they might need more.

No, really. Big tech has already spent $605 billion in capital expenditures since 2023, with a chunk of that dedicated to 5-year-old (A100) and 4-year-old (H100) GPUs, and the rest dedicated to buying Blackwell chips that The Information reports have gross margins of negative 100%:"

https://www.wheresyoured.at/big-tech-2tr/

#AI #GenerativeAI #OpenAI #Nvidia #AIBubble #Economy #Economics #BigTech

More than 400 researchers from 38 countries reject the use of #generativeAI for reflexive qualitative research.

Their primary reasons:
1. GenAI as simulated intelligence is incapable of meaning making
2. Qualitative research should remain a distinctly human practice
3. The established manifold harms of #GenAI, especially to the environment and workers in the Global South

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5676462

Generative AI Image Editing Showdown

https://genai-showdown.specr.net/image-editing

#HackerNews #GenerativeAI #ImageEditing #Showdown #AIArt #Technology #Innovation

The AI industry wants us to believe AI superintelligence is the real threat from generative AI.

But that narrative was crafted to distract from the many ways genAI is being used to tear our societies apart, as we saw this week when a deepfake video rocked the Irish election. It must be reined in.

https://disconnect.blog/generative-ai-is-a-societal-disaster/

#tech #genai #generativeai #deepfake #politics #ireland