• Episode 232: What Will Smart Homes Look Like in 2030?

    Step into the future with us! In this video, we explore how smart homes are evolving and what life might look like by the year 2030. From mind-controlled devices to energy-efficient designs, the possibilities are both exciting and revolutionary.

    Here’s what you’ll discover:
    Mind-powered home control
    Solar-powered energy independence
    AI-powered appliances that talk to each other
    Smart architecture & sustainable living

    The future is closer than you think — are you ready for it?

    Watch Episode 232 now and take a peek into tomorrow's lifestyle.
    Comment your thoughts and share with future-tech lovers!

    #SmartHomes2030 #FutureOfLiving #FacelessVideo #Episode232 #AIHomeTech #UbaidUllahFreelancingWala #Futurism #SmartLife #sustainableliving

    Rahat CounsellingWali
    Hiba RemotejobWali
    Rehan School Korangi Campus
    🏠 Episode 232: What Will Smart Homes Look Like in 2030? 🤯 Step into the future with us! In this video, we explore how smart homes are evolving and what life might look like by the year 2030. From mind-controlled devices to energy-efficient designs, the possibilities are both exciting and revolutionary. 🚪 Here’s what you’ll discover: 🧠 Mind-powered home control 🔋 Solar-powered energy independence 🤖 AI-powered appliances that talk to each other 🏗️ Smart architecture & sustainable living The future is closer than you think — are you ready for it? 📺 Watch Episode 232 now and take a peek into tomorrow's lifestyle. 🗨️ Comment your thoughts and share with future-tech lovers! #SmartHomes2030 #FutureOfLiving #FacelessVideo #Episode232 #AIHomeTech #UbaidUllahFreelancingWala #Futurism #SmartLife #sustainableliving Rahat CounsellingWali Hiba RemotejobWali Rehan School Korangi Campus
    0 Commenti 0 condivisioni 154 Views 0
  • "Tech billionaires "are really betting on AI replacing a lot of workers."
    Geoffrey Hinton, one of the three so-called “godfathers” of AI, never misses an opportunity to issue foreboding proclamations about the tech he helped create.

    During an hour-long public conversation with Senator Bernie Sanders at Georgetown University last week, the British computer science laid out all the alarming ways that he forecasts AI will completely upend society for the worst, seemingly leaving little room for human contrivances like optimism. One of the reasons why is that AI’s rapid deployment will be completely unlike technological revolutions in the past, which created new classes of jobs, he said.

    “The people who lose their jobs won’t have other jobs to go to,” Hinton said, as quoted by Business Insider. “If AI gets as smart as people — or smarter — any job they might do can be done by AI.”

    “These guys are really betting on AI replacing a lot of workers,” Hinton added.

    Hinton pioneered the deep learning techniques that are foundational to the generative AI models fueling the AI boom today. His work on neural networks earned him a Turing Award in 2018, alongside University of Montreal researcher Yoshua Bengio and the former chief AI scientist at Meta Yann LeCun. The trio are considered to be the “godfathers” of AI.

    All three scientists have been outspoken about the tech’s risks, to varying degrees. But it was Hinton who first began to turn the most heads when he said he regretted his life’s work after stepping down from his role at Google in 2023.

    He hasn’t changed his tune since then. He has consistently warned that AI will destroy jobs and create massive unemployment. This month, Hinton then injected more fatalism into this prediction by opining that the AI industry couldn’t turn a profit without replacing human labor.

    In his discussion with Sanders, Hinton reiterated these risks, adding that the multibillionaires spearheading AI, like Elon Musk, Mark Zuckerberg, and Larry Ellison haven’t really “thought through” the fact that “if the workers don’t get paid, there’s nobody to buy their products,” he said, per BI.

    Previously, Hinton has said it wouldn’t be “inconceivable” that humankind gets wiped out by AI. He also believes we’re not that far away from achieving an artificial general intelligence, or AGI, a hypothetical AI system with human or superhuman levels of intelligence that is able to perform a vast array of tasks, which the AI industry is obsessed with building.

    “Until quite recently, I thought it was going to be like 20 to 50 years before we have general purpose AI,” Hinton said in 2023. “And now I think it may be 20 years or less.”

    Strikingly, Hinton now claims that the latest models like OpenAI’s GPT-5 “know thousands of times more than us already.”

    While leading large language models are trained on a corpus of data vastly exceeding what a human could ever learn, many experts would disagree that this means that the AI actually “knows” what it’s talking about. Moreover, many efforts to replace workers with semi-autonomous models called AI agents have often failed embarrassingly, including in customer support roles that many predicted were the most vulnerable to being outmoded. In other words, it’s not quite set in stone that the tech will be to so easily replace even low-paying jobs.

    Nonetheless, never put it past your overlords to find a way how to screw you over anyway. AI machines could be a great tool for carrying out imperial actions abroad; deploying AI robots to fight overseas would be great for the US military industrial complex, Hinton argued, since there wouldn’t be dead soldiers to cause “political blowback.”
    https://futurism.com/artificial-intelligence/godfather-ai-breakdown-society?
    "Tech billionaires "are really betting on AI replacing a lot of workers." Geoffrey Hinton, one of the three so-called “godfathers” of AI, never misses an opportunity to issue foreboding proclamations about the tech he helped create. During an hour-long public conversation with Senator Bernie Sanders at Georgetown University last week, the British computer science laid out all the alarming ways that he forecasts AI will completely upend society for the worst, seemingly leaving little room for human contrivances like optimism. One of the reasons why is that AI’s rapid deployment will be completely unlike technological revolutions in the past, which created new classes of jobs, he said. “The people who lose their jobs won’t have other jobs to go to,” Hinton said, as quoted by Business Insider. “If AI gets as smart as people — or smarter — any job they might do can be done by AI.” “These guys are really betting on AI replacing a lot of workers,” Hinton added. Hinton pioneered the deep learning techniques that are foundational to the generative AI models fueling the AI boom today. His work on neural networks earned him a Turing Award in 2018, alongside University of Montreal researcher Yoshua Bengio and the former chief AI scientist at Meta Yann LeCun. The trio are considered to be the “godfathers” of AI. All three scientists have been outspoken about the tech’s risks, to varying degrees. But it was Hinton who first began to turn the most heads when he said he regretted his life’s work after stepping down from his role at Google in 2023. He hasn’t changed his tune since then. He has consistently warned that AI will destroy jobs and create massive unemployment. This month, Hinton then injected more fatalism into this prediction by opining that the AI industry couldn’t turn a profit without replacing human labor. In his discussion with Sanders, Hinton reiterated these risks, adding that the multibillionaires spearheading AI, like Elon Musk, Mark Zuckerberg, and Larry Ellison haven’t really “thought through” the fact that “if the workers don’t get paid, there’s nobody to buy their products,” he said, per BI. Previously, Hinton has said it wouldn’t be “inconceivable” that humankind gets wiped out by AI. He also believes we’re not that far away from achieving an artificial general intelligence, or AGI, a hypothetical AI system with human or superhuman levels of intelligence that is able to perform a vast array of tasks, which the AI industry is obsessed with building. “Until quite recently, I thought it was going to be like 20 to 50 years before we have general purpose AI,” Hinton said in 2023. “And now I think it may be 20 years or less.” Strikingly, Hinton now claims that the latest models like OpenAI’s GPT-5 “know thousands of times more than us already.” While leading large language models are trained on a corpus of data vastly exceeding what a human could ever learn, many experts would disagree that this means that the AI actually “knows” what it’s talking about. Moreover, many efforts to replace workers with semi-autonomous models called AI agents have often failed embarrassingly, including in customer support roles that many predicted were the most vulnerable to being outmoded. In other words, it’s not quite set in stone that the tech will be to so easily replace even low-paying jobs. Nonetheless, never put it past your overlords to find a way how to screw you over anyway. AI machines could be a great tool for carrying out imperial actions abroad; deploying AI robots to fight overseas would be great for the US military industrial complex, Hinton argued, since there wouldn’t be dead soldiers to cause “political blowback.” https://futurism.com/artificial-intelligence/godfather-ai-breakdown-society?
    0 Commenti 0 condivisioni 120 Views
  • A New Way Of Making And Problem Solving Future Leaders | Rehan Allahwala | Crazy Idea
    #problemsolving #futurism #FreeSchools
    https://lnkd.in/ehWETtJ
    A New Way Of Making And Problem Solving Future Leaders | Rehan Allahwala | Crazy Idea #problemsolving #futurism #FreeSchools https://lnkd.in/ehWETtJ
    0 Commenti 0 condivisioni 2929 Views