Chinese smartphone maker Realme on Friday (November 7, 2025) announced the launch date of Realme GT 8 Pro in India. The new premium smartphone will also begin Realme’s partnership with Ricoh Imaging. The Realme GT 8 Pro will debut the exclusive Ricoh GR-powered camera along with two focal lengths of 28mm and 40mm and five Ricoh GR tones.

The new Realme GT 8 Pro will succeed the GT 7 Pro. The company is expected to launch only the Pro variant.

Realme GT 8 Pro will come with a switchable camera bump which can be detached and replaced with round, square, robot-theme. It turns the lens cover into a freely interchangeable component. Users can unscrew the original camera bump, pick their preferred one, and confirm the fit with a precise lock-in click.

Realme GT 8 Pro will run on the Snapdragon 8 Elite Gen 5 chipset. It is likely to get up to 16 GB RAM and 512 GB storage. The phone will also be the first to run Realme UI 7.0 based on Android 16 out of the box.

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Realme said that the GT 8 Pro will ship with a 7,000 mAh battery along with a 120W SuperVOOC fast charging. It will also support up to 50W wireless charging

Realme GT 8 Pro is going to use a 2K display with 7,000 nits peak brightness.

Realme GT 8 Pro will feature a paper-like leather back panel, made from recycled plastics and textiles, the company said. The smartphone will be sell in Diary White and Urban Blue colours.

Realme GT 8 Pro will sell on Flipkart and Realme. It will be launched on November 20 in India.

The White House has informed other federal agencies that it will not permit Nvidia to sell its latest scaled-down AI chips to China, The Information reported on Thursday, citing three people familiar with the matter.

Nvidia has provided samples of the chip to several of its Chinese customers, according to the report.

The chip, known as the B30A, can be utilised to train large language models when efficiently arranged in large clusters, a capability many Chinese companies require, the report added.

An Nvidia spokesperson told Reuters that the company has “zero share in China’s highly competitive market for datacenter compute, and do not include it in our guidance.”

White House did not immediately respond to Reuters’ request for a comment.

Nvidia is working on modifying the B30A’s design in hopes that the U.S. administration will reconsider its stance, the Information report said, citing two company employees.

The California-based company, however, has also been facing regulatory headwinds in China.

Beijing has recently issued guidance requiring all new data centre projects that receive any state funding to use only domestically developed chips, Reuters reported on Wednesday, citing sources familiar with the matter.

Data centres that are less than 30% complete will have to remove all installed foreign chips, or cancel plans to purchase them, while projects in a more advanced stage will be reviewed on a case-by-case basis, the sources added.

The guidance effectively shuts out Nvidia and its AI chips from a lucrative market segment, including advanced models under U.S. export controls that are nevertheless available in China via grey market channels.

Microsoft is forming a new team that wants to build artificial intelligence that is vastly more capable than humans in certain domains, starting with medical diagnostics, the executive leading the effort told Reuters.

Called the MAI Superintelligence Team, the project follows similar efforts by Meta Platforms, Safe Superintelligence Inc and others that have begun targeting technical leaps while garnering skepticism for their ability to deliver, absent new breakthroughs.

Microsoft plans to invest “a lot of money” on the project as well, said Mustafa Suleyman, the AI chief in charge. Meta this year offered $100 million signing bonuses to recruit famous AI talent. Suleyman declined to say if such offers or poaching attempts were on the table. However, he said Microsoft AI would continue to recruit from other top labs while staffing its new team with existing researchers and Karen Simonyan as chief scientist.

Microsoft’s effort comes with a twist. According to Suleyman, the company is not chasing “infinitely capable generalist” AI like some peers. The reason, he said, is he doubts that autonomous, self-improving machines could be controlled, despite research into how humanity might keep AI in check.

He said Microsoft has a vision for “humanist superintelligence,” or technology that could solve defined problems with a real-world benefit.

“Humanism requires us to always ask the question: does this technology serve human interests?” said Suleyman.

AI theorists and developers have long debated whether the technology may lead to imminent danger or poses no harm relative to problems such as machine-learned bias and trustworthiness.

Suleyman said he aims to focus the Microsoft team on specialist models that achieve what he called superhuman performance while posing “virtually no existential risk whatsoever.”

He gave as examples AI that solves battery storage or develops molecules, in a nod to AlphaFold, DeepMind’s AI models that can predict protein structures. Suleyman was a DeepMind co-founder. Suleyman said that for diagnosis, a domain long of interest to the AI field and one that Microsoft has focused on, the company has a “line of sight to medical superintelligence in the next two to three years.”

He said the effort is based on AI that reasons through problems and still would require breakthroughs. But if achieved, he said the AI would “increase our life expectancy and give everybody more healthy years, because we’ll be able to detect preventable diseases much earlier.”

OpenAI CEO Sam Altman called on world governments Thursday to invest in AI infrastructure, as questions grow about whether the ChatGPT-maker, the world’s most valuable private company, can absorb artificial intelligence’s massive costs.

“What we do think might make sense is governments building (and owning) their own AI infrastructure, but then the upside of that should flow to the government as well,” Altman wrote in a long post on X, clarifying OpenAI’s position amid growing scrutiny of the company’s ambitious spending plans.

The company behind ChatGPT was facing scrutiny after its chief financial officer Sarah Friar told a business conference Wednesday that the U.S. government could help attract the enormous investment needed for AI computing and infrastructure by guaranteeing loans to pay for the buildout.

After fierce criticism, the executive later retracted the statement, saying her point was clumsily explained, which Altman reiterated in his own post.

“We do not have or want government guarantees for OpenAI datacenters,” Altman wrote.

“We believe that governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or otherwise lose in the market,” he added.

“If we screw up and can’t fix it, we should fail, and other companies will continue on doing good work.”

The comments came as OpenAI faces questions about its financial trajectory.

OpenAI has become a highly pivotal company, with the AI race launched by the release of ChatGPT driving Wall Street to new records even as doubts grow about the broader health of the American economy.

Altman said the company expects to reach over $20 billion in annualised revenue this year, a significant accomplishment for a startup, and is looking at infrastructure spending commitments of approximately $1.4 trillion over the next eight years.

This includes a $300 billion partnership with Oracle and a $500 billion Stargate project with Oracle and SoftBank that was announced at the White House in January.

He projected that OpenAI revenue will grow to hundreds of billions of dollars by 2030, driven by as-yet-unreleased consumer devices, robotics, and AI-powered scientific discovery.

Given the strategic importance of the technology, Altman argued that building a “strategic national reserve of computing power” makes sense for governments, particularly as massive infrastructure projects take years to complete.

He cited severe compute constraints already forcing OpenAI and competitors to limit availability of their products and delay new features, warning that the risk of insufficient computing power outweighs the risk of overbuilding.

The Chan Zuckerberg Initiative, a nonprofit launched by Mark Zuckerberg and his wife aimed at curing all disease, on Thursday announced it was restructuring to focus on using artificial intelligence to achieve that goal.

The move narrows the focus of the philanthropic organisation founded in 2015 with a vow to devote most of the couple’s significant wealth to charitable causes, including social justice and voter rights.

Zuckerberg is among the high-profile tech figures who has backed away from diversity, equality and fact-checking initiatives after U.S. President Donald Trump took office in January.

The organisation this year ended its diversity efforts, curbed support of nonprofits that provide housing and stopped funding a primary school that gave education and health care to underserved children, according to media reports.

The philanthropic mission created by the Meta co-founder and his spouse, Priscilla Chan, said that its current priority involves scientific teams centralised in a facility called Biohub.

“This is a pivotal moment in science, and the future of AI-powered scientific discovery is starting to come into view,” Biohub said in a blog post.

“We believe that it will be possible in the next few years to create powerful AI systems that can reason about and represent biology to accelerate science.”

Biohub envisions AI helping advance ways to detect, prevent and cure diseases, according to the post.

The mission includes trying to model the human immune system, potentially opening a door to “engineering human health.”

“We believe we’re on the cusp of a scientific revolution in biology, as frontier artificial intelligence and virtual biology give scientists new tools to understand life at a fundamental level,” Biohub said in the post.

The first investment announced by the Zuckerbergs when the initiative debuted nearly a decade ago was for the creation of a Biohub in Silicon Valley where researchers, scientists and others could work to build tools to better study and understand diseases.

Shortly after it was established, the initiative bought a Canadian startup which uses AI to quickly read and comprehend scientific papers and then provide insights to researchers.

“Our multidisciplinary teams of scientists and engineers have built incredible technologies to observe, measure and program biology,” Biohub said of its progress.

Meta is among the big tech firms that have been pouring billions of dollars into data centres and more in a race to lead the field of AI.