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- Robots will build NVIDIA's next AI computers
Robots will build NVIDIA's next AI computers
PLUS: Masa Son's $1T AI bet, the BBC's AI copyright fight, and a new Super-Turing chip
Good morning, AI enthusiast.
NVIDIA and Foxconn are reportedly planning to deploy humanoid robots to assemble the next generation of AI servers. The move represents a major step toward automating the creation of the very hardware that powers artificial intelligence itself.
This creates a unique feedback loop where NVIDIA's own platforms power the robots that construct its future products. As this trend of AI building AI accelerates, what does it mean for the future of high-tech manufacturing and the speed of AI's own development?
In today’s AI recap:
NVIDIA to use robots to build AI servers
Masayoshi Son’s $1T AI manufacturing bet
The BBC’s copyright fight with Perplexity AI
A new ‘Super-Turing’ chip that learns on the fly
Robots Building AI

The Recap: NVIDIA and Foxconn are reportedly planning to use humanoid robots to build next-generation AI servers at a new Houston facility. This marks a major step toward automating the production of the very hardware that powers artificial intelligence.
Unpacked:
The robots are targeted for deployment by the first quarter of 2026 to help assemble NVIDIA's upcoming GB300 AI servers.
Foxconn has been training the robots for key assembly tasks like picking and placing objects, inserting cables, and handling basic assembly work.
This move creates a feedback loop for NVIDIA, which not only uses advanced robotics but also provides the core platforms that robot makers use to build them.
Bottom line: This collaboration shows a powerful trend of using AI-powered robotics to manufacture the core infrastructure that AI itself depends on. As this model proves successful, expect to see accelerated automation across other high-tech manufacturing sectors.
A Trillion-Dollar AI Bet

The Recap: SoftBank founder Masayoshi Son is pitching an audacious $1 trillion plan to build a massive AI and robotics manufacturing hub in Arizona, aiming to team up with chipmaking giant TSMC.
Unpacked:
The project, codenamed Project Crystal Land, aims to create a US-based version of China's vast Shenzhen manufacturing hub, focused on producing AI-powered industrial robots.
Son is courting key industry players for the venture, approaching not only TSMC but also other tech giants like Samsung Electronics to gauge interest.
The plans are still preliminary, with SoftBank officials speaking with US federal and state governments about potential tax breaks, but the project's feasibility depends on government support.
Bottom line: This represents a monumental bid to re-center high-tech manufacturing in the US and build a dedicated supply chain for the AI and robotics industries. If successful, the project could create a powerful new tech ecosystem, but its massive scale and reliance on political backing make it a high-risk, high-reward venture.
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The BBC's AI Showdown

The Recap: The BBC is threatening legal action against AI search engine Perplexity, accusing it of illegally scraping content and reproducing it verbatim. The move marks a significant escalation in the copyright battle between legacy media and AI firms.
Unpacked:
The BBC claims Perplexity is ignoring its
robots.txt
file, a standard protocol used to tell automated web crawlers not to access a site's content.Perplexity denies this, stating its crawler respects robots.txt directives and that it doesn't use publisher content to train its own foundation models.
This isn't an isolated incident, as other major publishers, including The New York Times and Dow Jones, have also launched legal challenges against AI companies for similar copyright concerns.
Bottom line: This conflict highlights the central, unresolved tension between AI's need for vast data and the intellectual property rights of content creators. The outcome could set crucial precedents for how AI companies must compensate publishers, shaping the future economics of both industries.
AI's 'Super-Turing' Leap

The Recap: Researchers have unveiled a new "Super-Turing" AI chip that learns on the fly, detailed in groundbreaking research. The chip mimics the human brain’s adaptability and operates on just nanowatts of power.
Unpacked:
The chip is incredibly efficient, consuming only 158 nanowatts—over 40 million times less power than a conventional AI running on a high-end desktop.
Instead of traditional pre-training, the system uses "synstors" that update continuously, a process that mimics how real brains learn through strengthening connections.
In a drone simulation, the Super-Turing chip outperformed human pilots and guided the drone to success where a pre-trained AI crashed every time conditions changed.
Bottom line: This breakthrough points toward a future of sustainable AI that can operate on small, autonomous devices at the edge. It shifts the focus from building bigger models to creating more efficient and adaptable intelligent systems.
The Shortlist
Apple held internal talks about a potential bid to acquire AI search startup Perplexity, a deal that would be its largest ever with the startup recently valued at $14 billion.
Character.AI named former Meta VP of Business Products, Karandeep Anand, as its new CEO, tasking him with improving the platform’s safety filters and AI model quality.
Dine Brands is rolling out AI tools across its Applebee’s and IHOP locations to provide tech support for franchisees and power a new customer personalization engine.
xAI faces a potential lawsuit from the NAACP for allegedly violating the Clean Air Act with its massive Colossus supercomputer data center in a predominantly Black community in Memphis.
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