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Trump's Reelection Sparks Hopes for AI Deregulation Among Silicon Valley Investors
The reelection of Donald Trump has Silicon Valley anticipating a deregulatory environment that may let AI companies develop with minimal restrictions. Trump's allies propose policies to “Make America First in AI” by undoing President Biden’s AI regulatory framework, which focused on transparency and safety. This deregulation, supported by investors and executives, could enable broader applications of AI, despite concerns over ethics and public data use.
The Beatles' AI-Assisted Track Earns Historic Grammy Nomination
The Beatles' song "Now and Then," created with AI-enhanced audio restoration, is nominated for Record of the Year and Best Rock Performance, marking the first AI-assisted track up for a Grammy. By enhancing John Lennon's demo vocals, this release reflects AI's impact on music creation and the band's enduring influence.
AI's Dominance Isn't Inevitable, Argues Tech Ethicist
While AI advocates claim the technology is indispensable, a tech ethicist at UMass Boston argues against its "inevitability." AI has shown promise in fields like medicine and national security but lacks proven, sweeping benefits in areas like business and education. History suggests we can limit AI's impact rather than accept it as inevitable.
MIT Study Reveals LLMs' Limitations in Real-World Understanding
MIT researchers reveal large language models (LLMs) lack true world comprehension, which limits accuracy in dynamic tasks. For example, LLMs can navigate NYC but fail when detours arise, showing LLMs operate without genuine understanding. Their study underscores the need for more coherent AI models.
The Future of Drone Defense: AI-Enabled Automated Gun Systems
With the rising threat of drones in warfare, the U.S. military is testing AI-powered defense options, including Allen Control Systems' “Bullfrog” – a robotic gun that autonomously targets drones. Built with advanced sensors and motion control, it could down small drones with precision, possibly at lower costs than traditional or energy-based weapons.
AI's Productivity Trap: Will It Free Time or Raise Expectations?
AI, like past tech innovations such as the vacuum cleaner and computers, promises to save time. But history suggests AI could raise productivity expectations rather than ease workloads, as faster work fuels more demands. Without a cultural shift in how we define productivity and value free time, AI's benefits risk being absorbed into higher productivity standards, leading to more, not less, work.
Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us
Trump's Reelection Sparks Hopes for AI Deregulation Among Silicon Valley Investors
The reelection of Donald Trump has Silicon Valley anticipating a deregulatory environment that may let AI companies develop with minimal restrictions. Trump's allies propose policies to “Make America First in AI” by undoing President Biden’s AI regulatory framework, which focused on transparency and safety. This deregulation, supported by investors and executives, could enable broader applications of AI, despite concerns over ethics and public data use.
The Beatles' AI-Assisted Track Earns Historic Grammy Nomination
The Beatles' song "Now and Then," created with AI-enhanced audio restoration, is nominated for Record of the Year and Best Rock Performance, marking the first AI-assisted track up for a Grammy. By enhancing John Lennon's demo vocals, this release reflects AI's impact on music creation and the band's enduring influence.
AI's Dominance Isn't Inevitable, Argues Tech Ethicist
While AI advocates claim the technology is indispensable, a tech ethicist at UMass Boston argues against its "inevitability." AI has shown promise in fields like medicine and national security but lacks proven, sweeping benefits in areas like business and education. History suggests we can limit AI's impact rather than accept it as inevitable.
MIT Study Reveals LLMs' Limitations in Real-World Understanding
MIT researchers reveal large language models (LLMs) lack true world comprehension, which limits accuracy in dynamic tasks. For example, LLMs can navigate NYC but fail when detours arise, showing LLMs operate without genuine understanding. Their study underscores the need for more coherent AI models.
The Future of Drone Defense: AI-Enabled Automated Gun Systems
With the rising threat of drones in warfare, the U.S. military is testing AI-powered defense options, including Allen Control Systems' “Bullfrog” – a robotic gun that autonomously targets drones. Built with advanced sensors and motion control, it could down small drones with precision, possibly at lower costs than traditional or energy-based weapons.
AI's Productivity Trap: Will It Free Time or Raise Expectations?
AI, like past tech innovations such as the vacuum cleaner and computers, promises to save time. But history suggests AI could raise productivity expectations rather than ease workloads, as faster work fuels more demands. Without a cultural shift in how we define productivity and value free time, AI's benefits risk being absorbed into higher productivity standards, leading to more, not less, work.