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Silicon Valley Front Row

Silicon Valley Front Row

Von: Steve Ispas and David Lam
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Silicon Valley Front Row. Join us as we talk tech from a dialectical lens. You will hear about innovations, developments, and the other side too: addictions and potential problems. You’ll also join the conversation as we bring in experts, look at trends, and solutions to issues that shape how we live.© 2025 Politik & Regierungen Sozialwissenschaften
  • Chinese Scam Ads Exposed: The $18 Billion Secret You Need to Know
    Jan 25 2026

    In this episode, David Lam and Steve Ispas discuss how Meta relies heavily on Chinese advertisers (accounting for 10% of total revenue, or nearly $18 billion), even as the platform is flooded with illegal gambling, pornography, and counterfeit goods scams.

    0:00 - Intro: The Rise of Chinese Scam Ads
    0:48 - Why Meta Disbanded the Team Fighting These Scams
    2:55 - Examples: Gambling, Porn, and Fake "Clearance" Sales
    4:00 - How Chinese Scam Ads Generate $18 Billion for Meta
    8:30 - "Indefensible": Insiders React to the Scandal
    12:35 - US Senators Call for Investigation into Chinese Ads
    13:40 - Viewer Comments: Data Privacy & Tech Ethics
    16:56 - Question: Have You Been Targeted by Chinese Scam Ads?

    Have you spotted any obvious Chinese scam ads on your feed recently? Did you report them, and did Meta take action? Let us know in the comments!

    #ChineseScamAds #MetaScams #FacebookFraud #SiliconValleyFrontRow #TechNews #OnlineSafety #AdFraud #ConsumerAlert

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    11 Min.
  • Elon Musk’s $1.5 Trillion Secret: AI Data Centers in Space?
    Jan 17 2026

    Elon Musk is positioning SpaceX to solve the most significant bottleneck in the artificial intelligence industry: power. In this episode of Silicon Valley Front Row, hosts Steve Spas and David Lam discuss the strategic move to place AI data centers in outer space. With projections suggesting AI could require one-third of global power by 2030, the shift to orbit could provide a permanent solution to energy and cooling constraints on Earth.

    We analyze the rumored 2026 SpaceX IPO, which aims to raise a record $30 billion at a $1.5 trillion valuation. The discussion covers how SpaceX’s existing satellite infrastructure and 24/7 solar access could create an AI monopoly that bypasses traditional land, water, and zoning restrictions faced by companies like Oracle and Nvidia.

    Major Talking Points

    0:00 – The AI energy crisis and the 2030 power demand
    0:32 – SpaceX’s 2026 IPO and Musk's plan for AI dominance
    2:10 – Why data centers in space solve the cooling and power problem
    4:04 – Financials: The $30 billion raise and $1.5 trillion valuation
    6:21 – Starlink’s potential to surpass Earth’s power generation

    Elon Musk, SpaceX, AI infrastructure, SpaceX IPO, Starlink, Data Centers, Artificial Intelligence, Space Tech, Tech Investment, Energy Crisis, Silicon Valley, Satellite Technology.

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    9 Min.
  • AI’s Most Dangerous Turning Point
    Jan 10 2026

    Artificial intelligence is advancing fast—but what happens when it moves beyond human-level intelligence?

    In this episode of Silicon Valley Front Row, the panel explores the three stages of AI development: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and the most debated—and feared—stage, Artificial Superintelligence (ASI). The conversation examines what ASI could mean for jobs, governments, national security, and global stability.

    Drawing on expert predictions and AI-generated analysis, the discussion covers scenarios ranging from mass job displacement and social upheaval to unprecedented scientific and medical breakthroughs. The panel also addresses why governments may treat ASI as a national emergency, how geopolitical competition could accelerate its development, and why alignment between AI systems and human values remains the central challenge.

    With estimates placing ASI anywhere from a few years to potentially this decade, the episode raises urgent questions about preparedness, regulation, and control as AI approaches a turning point unlike any before.

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    13 Min.
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