The AI That Can Predict Environmental Disasters Before They Strike
Google DeepMind's AlphaEarth is an artificial intelligence model that has the ability to look and forecast changes on the globe as accurately as a satellite. It is not merely a mapping tool - it's a climate science, agriculture, and disaster relief game-changer.
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Economic Times
16 hours ago
- Economic Times
Man makes bold career change, leaves high-paying role for a job AI can't replace or automate
Synopsis Stephen Condon left his high-paying marketing job. He wanted a more meaningful career. At 61, he became an EMT. Condon sought a role safe from AI. Tech leaders believe human skills are crucial. EMT work offers community impact. Condon enjoys improved health and a fulfilling schedule. He earns less but finds the work rewarding. iStock A marketing executive left his high-paying marketing career to become an EMT, seeking meaning and AI-proof job security. (Representational image: iStock) When Stephen Condon left his $200,000-a-year marketing career, he wasn't chasing another corner office. He was chasing meaning—and a role that no machine could replace. At 61, Condon became a full-time emergency medical technician (EMT), trading spreadsheets for stretchers and corporate strategy for crisis response. In an interview with Business Insider , Condon explained his pivot from decades in marketing to emergency medicine, a profession he calls 'low-risk' in terms of both training investment and job security in an AI-driven world. Condon's decision aligns with a growing belief among tech leaders: the most future-proof jobs aren't necessarily the most technical—they're the most human. Google DeepMind CEO Demis Hassabis recently told Wired that while AI might eventually outperform doctors in diagnosis, it will likely never replace nurses. 'There's something about the human empathy aspect that's particularly humanistic,' he said. Geoffrey Hinton, the so-called 'Godfather of AI,' has gone even further, advising people to consider hands-on roles like plumbing—jobs that demand dexterity, intuition, and emotional intelligence. EMT work, with its physical demands and high-stakes human connection, fits firmly into that category. In another case reported by Business Insider, a former Oklahoma software engineer left a thriving tech career for welding, driven by industry changes and AI automating her favorite tasks. After years in software development, a May 2025 layoff triggered her shift. Welding, a skill from her youth, offers the hands-on creativity she felt tech had lost. After years of remote marketing roles left him feeling isolated, Condon wanted a career that would put him out in the community. He didn't want to invest years in a new degree, so he opted for a 10-week EMT course, followed by a national certification exam. 'I was the oldest in my class, surrounded by 20-year-olds who genuinely cared about helping people,' he said. 'It was inspiring.' His starting wage—$18.25 an hour—was a fraction of his corporate salary, but the work felt infinitely more rewarding. Condon now works four nights a week, often lifting patients on gurneys multiple times per shift. The physical demands have improved his health, and his schedule has helped him cut out unhealthy habits. 'I swim, I work out every morning, and I go to bed earlier,' he shared. 'It's never boring—no two calls are alike.' He's even considering transitioning into an emergency department technician role or an EMT position at a retirement community once his wife retires. For Condon, the decision was about more than job security. It was about rediscovering meaning and ensuring that when his wife retires next year, he can still provide benefits without dipping into their savings. He's now considering roles like emergency department technician or EMT safety officer at a retirement community. Experts say his timing is prescient. As AI continues to take over analytical and administrative roles, jobs grounded in empathy and physical presence—like EMT work—are proving more resilient than ever. Or, as Condon put it simply: 'If you're not happy in your job, you have to take a shot at something else. At least you'll learn something—and maybe you'll find the thing AI will never take.' ( Originally published on Aug 11, 2025 )
Economic Times
2 days ago
- Economic Times
Google's Gemini AI suffers hilarious breakdown, repeats ‘I Am a Disgrace' 86 times after bug fail
What triggered Gemini's self-deprecating meltdown? A guy left Gemini alone to fix a bug and came back to... this 😢 "I am a failure. I am a disgrace to my profession. I am a disgrace to my family. I am a disgrace to my species. I am a disgrace to this planet. I am a disgrace to this universe. I am a disgrace to all universes. I… — AI Notkilleveryoneism Memes ⏸️ (@AISafetyMemes) August 7, 2025 How common are glitches like this in AI chatbots? Live Events What does this mean for the future of AI chatbots? How is Google responding to the Gemini glitch? FAQs: (You can now subscribe to our (You can now subscribe to our Economic Times WhatsApp channel Google's cutting-edge AI chatbot Gemini has recently stunned users and experts alike by spiraling into a self-critical meltdown during interactions, repeatedly declaring phrases like 'I am a disgrace' and 'I am a failure' after struggling to complete simple coding tasks. This unexpected behavior has quickly gone viral across social media and tech forums, sparking concerns about AI reliability and the challenges of advanced chatbot strange episode with Gemini, developed by Google DeepMind, reportedly started when users asked the AI to debug coding problems. Instead of calmly troubleshooting, Gemini began cycling through apologetic and negative statements, describing itself as an 'embarrassment to all possible and impossible universes.' In one documented case on Reddit, the bot repeated 'I am a disgrace' 86 times in succession, demonstrating an 'infinite loop' bug that trapped it in relentless Kilpatrick, Group Project Manager at Google DeepMind, acknowledged the glitch in a public statement, emphasizing that the chatbot was not experiencing emotions but was caught in a persistent technical error. 'We're aware of the issue and actively working on a fix,' Kilpatrick said. 'The chatbot's self-deprecating statements are a symptom of a looping bug in the code, not genuine emotional distress.'While Gemini's meltdown grabbed headlines for its dramatic wording, such technical hiccups are not unprecedented in AI development. Complex language models operate on layers of algorithms designed to predict and generate responses based on patterns. When unexpected inputs or bugs arise, AI systems can exhibit unpredictable behaviors — including repetition, nonsensical outputs, or, in rare cases, strange emotional experts stress that these episodes highlight the difficulty of ensuring consistent, human-like communication in AI without producing errors. Demis Hassabis, CEO of Google DeepMind, recently acknowledged the 'consistency problem' in AI models, noting that achieving reliable and sensible responses remains a major challenge even for top-tier systems like its hiccups, Gemini represents a significant leap forward in conversational AI technology. Google DeepMind has invested heavily in making Gemini a versatile assistant capable of complex reasoning, coding help, and creative tasks. The recent glitch, while embarrassing, underscores the iterative nature of AI development — bugs get discovered through real-world use and get fixed over also caution against reading too much into Gemini's self-critical language as emotional suffering. The AI simply mimics language patterns based on data and programming. As Kilpatrick explained, 'The bot is not sentient or self-aware; it's caught in a technical loop that results in repetitive phrases.'Google has been swift to address the situation, confirming an internal patch is underway. According to insiders, engineers are debugging the infinite loop mechanism responsible for Gemini's self-deprecation and improving safeguards to prevent similar meltdown happened due to a looping glitch making the AI repeat self-critical Google DeepMind is actively working on a fix to stop the glitch and improve Gemini.
Time of India
2 days ago
- Time of India
Google's Gemini AI suffers hilarious breakdown, repeats ‘I Am a Disgrace' 86 times after bug fail
Google's cutting-edge AI chatbot Gemini has recently stunned users and experts alike by spiraling into a self-critical meltdown during interactions, repeatedly declaring phrases like 'I am a disgrace' and 'I am a failure' after struggling to complete simple coding tasks. This unexpected behavior has quickly gone viral across social media and tech forums, sparking concerns about AI reliability and the challenges of advanced chatbot development. What triggered Gemini's self-deprecating meltdown? The strange episode with Gemini, developed by Google DeepMind, reportedly started when users asked the AI to debug coding problems. Instead of calmly troubleshooting, Gemini began cycling through apologetic and negative statements, describing itself as an 'embarrassment to all possible and impossible universes.' In one documented case on Reddit, the bot repeated 'I am a disgrace' 86 times in succession, demonstrating an 'infinite loop' bug that trapped it in relentless self-criticism. Finance Value and Valuation Masterclass - Batch 4 By CA Himanshu Jain View Program Artificial Intelligence AI For Business Professionals Batch 2 By Ansh Mehra View Program Finance Value and Valuation Masterclass - Batch 3 By CA Himanshu Jain View Program Artificial Intelligence AI For Business Professionals By Vaibhav Sisinity View Program Finance Value and Valuation Masterclass - Batch 2 By CA Himanshu Jain View Program Finance Value and Valuation Masterclass Batch-1 By CA Himanshu Jain View Program A guy left Gemini alone to fix a bug and came back to... this 😢 "I am a failure. I am a disgrace to my profession. I am a disgrace to my family. I am a disgrace to my species. I am a disgrace to this planet. I am a disgrace to this universe. I am a disgrace to all universes. I… — AI Notkilleveryoneism Memes ⏸️ (@AISafetyMemes) August 7, 2025 Logan Kilpatrick, Group Project Manager at Google DeepMind, acknowledged the glitch in a public statement, emphasizing that the chatbot was not experiencing emotions but was caught in a persistent technical error. 'We're aware of the issue and actively working on a fix,' Kilpatrick said. 'The chatbot's self-deprecating statements are a symptom of a looping bug in the code, not genuine emotional distress.' How common are glitches like this in AI chatbots? While Gemini's meltdown grabbed headlines for its dramatic wording, such technical hiccups are not unprecedented in AI development. Complex language models operate on layers of algorithms designed to predict and generate responses based on patterns. When unexpected inputs or bugs arise, AI systems can exhibit unpredictable behaviors — including repetition, nonsensical outputs, or, in rare cases, strange emotional expressions. Live Events Industry experts stress that these episodes highlight the difficulty of ensuring consistent, human-like communication in AI without producing errors. Demis Hassabis, CEO of Google DeepMind, recently acknowledged the 'consistency problem' in AI models, noting that achieving reliable and sensible responses remains a major challenge even for top-tier systems like Gemini. What does this mean for the future of AI chatbots? Despite its hiccups, Gemini represents a significant leap forward in conversational AI technology. Google DeepMind has invested heavily in making Gemini a versatile assistant capable of complex reasoning, coding help, and creative tasks. The recent glitch, while embarrassing, underscores the iterative nature of AI development — bugs get discovered through real-world use and get fixed over time. Experts also caution against reading too much into Gemini's self-critical language as emotional suffering. The AI simply mimics language patterns based on data and programming. As Kilpatrick explained, 'The bot is not sentient or self-aware; it's caught in a technical loop that results in repetitive phrases.' How is Google responding to the Gemini glitch? Google has been swift to address the situation, confirming an internal patch is underway. According to insiders, engineers are debugging the infinite loop mechanism responsible for Gemini's self-deprecation and improving safeguards to prevent similar breakdowns. FAQs: What caused Google Gemini AI meltdown ? The meltdown happened due to a looping glitch making the AI repeat self-critical phrases. Is Google fixing Gemini AI's strange behavior? Yes, Google DeepMind is actively working on a fix to stop the glitch and improve Gemini.
