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OpenAI teams with Apple supplier Luxshare to build consumer AI device

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OpenAI has struck a deal with Luxshare, a major Apple supplier, to manufacture a prototype consumer AI device, according to The Information. The pocket-sized gadget is being designed to work natively with OpenAI’s AI models and adapt to user context, potentially offering an alternative to smartphones and PCs as the main way people interact with artificial intelligence.

The project represents one of the boldest pushes yet by an AI firm into dedicated hardware, rather than layering AI onto existing devices. Analysts say an “AI-native” product could open entirely new markets while challenging the dominance of established consumer electronics leaders such as Apple, Samsung, and Google.

OpenAI earlier this year acquired io Products, a hardware startup founded by former Apple designer Jony Ive, in a $6.5 billion deal to accelerate its hardware ambitions. Luxshare—best known for assembling iPhones and AirPods—will provide the large-scale manufacturing muscle. OpenAI has also reached out to Goertek, another Apple supplier, for components such as speaker modules.

Neither Luxshare nor OpenAI has commented publicly on the report. But the move underscores OpenAI’s effort to expand beyond software like ChatGPT into consumer electronics, a sector where hardware-software integration is often the key to success.

If successful, the device could pose a new kind of competition to smartphones by offering a lightweight, AI-first alternative—part personal assistant, part communications tool—that reimagines how users connect to digital ecosystems.

DeepSeek claims AI model trained for just $294,000, challenging U.S. rivals

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Chinese AI developer DeepSeek has disclosed that its reasoning-focused R1 model cost just $294,000 to train—dramatically below the hundreds of millions reportedly spent by U.S. leaders such as OpenAI. The figure, revealed in a Nature article co-authored by founder Liang Wenfeng, is the company’s first public estimate of training costs and is likely to reignite debate over China’s position in the global AI race.

According to the paper, R1 was trained on a cluster of 512 Nvidia H800 chips over 80 hours. DeepSeek acknowledged for the first time that it also owns Nvidia A100 GPUs, which were used in preparatory phases before training shifted to the China-specific H800s. The H800 was designed to comply with U.S. export restrictions that bar Nvidia from selling its more powerful H100 and A100 chips to China.

The cost revelation is striking: OpenAI CEO Sam Altman has said foundational models cost “much more” than $100 million to train, though OpenAI has never published detailed figures. DeepSeek’s claim of drastically lower costs fueled January’s investor selloff in global tech stocks, amid fears it could disrupt the market dominance of Nvidia and other AI giants.

Skepticism remains. U.S. officials have suggested DeepSeek may have obtained H100 chips despite restrictions, while U.S. companies have questioned whether its development relied on model distillation—a technique where one AI model learns from another. DeepSeek has admitted using Meta’s open-source Llama models and said its training data may have included content generated by OpenAI systems, though it insists this was incidental.

DeepSeek defends distillation as an efficient way to cut costs and expand access to AI by reducing the enormous energy and resource demands of large-scale training. Analysts note this could accelerate the spread of competitive AI models outside the U.S., though questions about intellectual property and national security will remain central to the debate.

Larry Ellison reemerges as tech and media power player

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Forty-eight years after co-founding Oracle, Larry Ellison is once again at the center of global business headlines. Oracle’s stock surged 35.9% on the back of blockbuster cloud computing deals tied to AI, propelling Ellison’s net worth to nearly $400 billion—second only to Elon Musk.

Adding to his influence, Ellison’s family-controlled Paramount is preparing a bid for Warner Bros Discovery, a move that could dramatically reshape Hollywood. At the same time, his son David Ellison has begun steering CBS News with a more conservative tilt, hiring former Hudson Institute CEO Kenneth Weinstein as ombudsman and reportedly courting journalist Bari Weiss for a leadership role.

Ellison has also entrenched Oracle in the TikTok saga, providing U.S. infrastructure for the Chinese-owned app since 2022 amid national security scrutiny. Behind the flash of yachts, Hawaiian islands, and movie cameos—he played himself in Iron Man 2—Ellison has steadily bet big on AI.

Oracle became a major AI landlord, securing marquee clients including Meta, Elon Musk’s xAI, and OpenAI, which committed to a $300 billion compute deal over five years. This pivot helped Oracle’s booked revenue soar more than four-fold to $455 billion.

Unlike rivals Microsoft, Amazon, and Google, Oracle chose not to build custom AI chips, instead deepening ties with Nvidia. At a 2024 dinner with Musk and Nvidia CEO Jensen Huang, Ellison reportedly said, “Please take our money”—and soon after, Oracle secured GPU supplies that fueled the Stargate project with OpenAI.

Oracle’s cloud revival—after a failed 2016 launch—has proven cheaper and more adaptable. Its rapid scaling during the Zoom pandemic traffic surge and smooth takeover of TikTok’s U.S. user data in 2022 highlighted technical strength.

Still, huge risks remain. Oracle outsources critical infrastructure like land, data centers, and power, making it reliant on partners. Analysts warn that dependence on a small group of AI clients—particularly OpenAI—could expose Oracle to shocks if those firms stumble.

Ellison’s career has long swung between hubris and vindication, but with AI reshaping the tech landscape, the Silicon Valley “bad boy” may yet have the last laugh.