Another Crazy Day in AI: Tech Giants Discuss the Next Twenty Years
- Wowza Team
- Nov 20, 2025
- 5 min read
Updated: Dec 1, 2025
Hello, AI Enthusiasts.
Nearly the weekend, and AI isn’t waiting for us to catch up.
Two of the biggest names in tech shared bold predictions about humanoid robots, the future of work, and even space-based supercomputers at a U.S.–Saudi investment forum. Their vision? Tomorrow’s AI could be more ambitious, and more disruptive, than most of us are ready for.
And back on Earth's entertainment side, Prime Video’s Video Recaps are turning your favorite series into instant refreshers with a few clicks.
Meanwhile, Philips is showing that AI isn’t just for techies — it’s training its 70,000 employees to harness AI for innovation and patient care.
Hold on tight, the AI week isn’t over yet.
Here's another crazy day in AI:
Musk and Huang on robots, work, and computing in space
Prime Video introduces AI-powered season recaps
Philips scales AI literacy across 70,000 employees
Some AI tools to try out
TODAY'S FEATURED ITEM: Musk & Huang at the Investment Forum
Image Credit: Wowza (created with Ideogram)
Should we be more concerned about whether this technology works as promised, or about what happens if it actually does?
Two of the biggest names in tech—Elon Musk and Jensen Huang—sat down with Saudi Arabia's communications minister at the U.S.–Saudi Investment Forum to talk about where artificial intelligence and robotics are taking us. CNBC's Digital Rotational Associate Jaures Yip reported on the discussion, which took place just as Saudi Arabia raised its investment commitment to the United States to $1 trillion. What came out of it were some surprisingly bold predictions about humanoid robots, the future of work, and why we might eventually be running our most powerful computers from space.
Ideas that were central to the discussion:
Humanoid robots are moving beyond demos. Musk says Tesla is working on robots meant for actual everyday use, not just to impress people at tech conferences. He thinks they could eventually outnumber smartphones and make a real dent in productivity across industries.
Work might become something you choose to do. Both Musk and Huang suggested that in 10 to 20 years, people might work because they want to rather than because they need the paycheck. They also pointed out something counterintuitive—better tools often mean we end up doing more, not less, because they open up possibilities we couldn't tackle before.
Space might solve our computing problems. Musk brought up the idea of putting data centers in orbit, powered by solar panels that work around the clock. His reasoning is straightforward: Earth-based facilities hit walls with energy costs and cooling. He thinks we could see this happening within five years.
Saudi Arabia is backing this with real money. They're partnering with Tesla and Nvidia on a 500-megawatt computing project and funding research that's already showing results—like materials that pull water from thin air and microscopic robots for gene therapy.
The way computers work is changing. Huang explained that we're moving away from systems that just look up information to ones that actually create new answers on the spot. That requires building infrastructure differently and thinking about computing power in new ways.
Scientific research is moving faster. Saudi researchers using these tools have compressed years of work into months, particularly in areas like materials science and medical treatments that used to require extensive trial and error.
The benchmark numbers look impressive, but they're measuring performance in controlled settings. Real-world use is messier—your requests aren't always clear, tasks don't fit neat categories, and you often need help with something the model hasn't been specifically tested on. Google shared examples like translating handwritten family recipes, analyzing sports videos for technique tips, and turning research papers into interactive study guides. They also launched Google Antigravity, where AI agents can plan projects, write code, and check their work independently. The company ran safety evaluations with internal teams and external organizations like the UK AISI and Apollo before release. These applications sound genuinely useful, though launch examples tend to show things at their best rather than their average.
What happens next matters more than what's in the announcement. As people actually start using Gemini 3 for their own projects and problems, we'll see where it delivers and where it doesn't. Google's focusing on better reasoning and contextual understanding, with agents that can handle complete workflows instead of just answering individual questions. That could make a real difference in how we interact with AI, or it might turn out that simpler, more predictable tools work better for most tasks. The gap between a polished demo and something you'd trust to handle important work on its own is often wider than it looks at launch. Time and regular use will show whether Gemini 3's approach actually solves problems people have been struggling with.
Check it out here.
OTHER INTERESTING AI HIGHLIGHTS:
Prime Video Introduces AI-Powered Season Recaps
/Amazon Newsroom
Prime Video has introduced Video Recaps, a first-of-its-kind AI feature designed to help viewers quickly catch up on their favorite series before a new season. The tool uses generative AI to identify key plot points and stitches together video clips, dialogue snippets, music, and narration into a cinematic recap. Building on the 2024 X-Ray Recaps text summaries, Video Recaps are now available in beta on select English-language Prime Original series in the U.S., including Fallout, Jack Ryan, Upload, Bosch, and The Rig. This innovation aims to make binge-watching and seasonal viewing more accessible and engaging.
Read more here.
Philips Scales AI Literacy Across 70,000 Employees
/OpenAI
Philips is embedding AI literacy across its 70,000 employees to drive innovation and improve patient care. By combining executive-led hands-on training with company-wide idea challenges and access to enterprise-grade ChatGPT, Philips is channeling curiosity into actionable AI capabilities. The initiative emphasizes responsible AI, transparency, and human oversight, beginning with low-risk workflows before scaling into critical clinical processes. The ultimate goal: reduce administrative burden for clinicians, giving them more time to focus on patient care while fostering a culture of AI fluency across the organization.
Read more here.
SOME AI TOOLS TO TRY OUT:
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
The Another Crazy Day in AI newsletter is on LinkedIn!!!
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