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A team at Google has proposed using AI technology to create a “bird’s-eye” view of users’ lives using mobile phone data such as photographs and searches.

Dubbed “Project Ellmann,” after biographer and literary critic Richard David Ellmann, the idea would be to use LLMs like Gemini to ingest search results, spot patterns in a user’s photos, create a chatbot, and “answer previously impossible questions,” according to a copy of a presentation viewed by CNBC. Ellmann’s aim, it states, is to be “Your Life Story Teller.”

It’s unclear if the company has plans to produce these capabilities within Google Photos, or any other product. Google Photos has more than one billion users and four trillion photos and videos, according to a company blog post.

Google announces OpenAI competitor Gemini 1.0

Project Ellman is just one of many ways Google is proposing to create or improve its products with AI technology. On Wednesday, Google launched its latest “most capable” and advanced AI model yet, Gemini, which in some cases outperformed OpenAI’s GPT-4. The company is planning to license Gemini to a wide range of customers through Google Cloud for them to use in their own applications. One of Gemini’s standout features is that it’s multimodal, meaning it can process and understand information beyond text, including images, video and audio.

A product manager for Google Photos presented Project Ellman alongside Gemini teams at a recent internal summit, according to documents viewed by CNBC. They wrote that the teams spent the past few months determining that large language models are the ideal tech to make this bird’s-eye approach to one’s life story a reality.

Ellmann could pull in context using biographies, previous moments, and subsequent photos to describe a user’s photos more deeply than “just pixels with labels and metadata,” the presentation states. It proposes to be able to identify a series of moments like university years, Bay Area years, and years as a parent.

“We can’t answer tough questions or tell good stories without a bird’s-eye view of your life,” one description reads alongside a photo of a small boy playing with a dog in the dirt.

“We trawl through your photos, looking at their tags and locations to identify a meaningful moment,” a presentation slide reads. “When we step back and understand your life in its entirety, your overarching story becomes clear.”

The presentation said large language models could infer moments like a user’s child’s birth. “This LLM can use knowledge from higher in the tree to infer that this is Jack’s birth, and that he’s James and Gemma’s first and only child.” 

“One of the reasons that an LLM is so powerful for this bird’s-eye approach, is that it’s able to take unstructured context from all different elevations across this tree, and use it to improve how it understands other regions of the tree,” a slide reads, alongside an illustration of a user’s various life “moments” and “chapters.”

Presenters gave another example of determining one user had recently been to a class reunion. “It’s exactly 10 years since he graduated and is full of faces not seen in 10 years so it’s probably a reunion,” the team inferred in its presentation.

The team also demonstrated “Ellmann Chat,” with the description: “Imagine opening ChatGPT but it already knows everything about your life. What would you ask it?”

It displayed a sample chat in which a user asks “Do I have a pet?” To which it answers that yes, the user has a dog which wore a red raincoat, then offered the dog’s name and the names of the two family members it’s most often seen with.

Another example for the chat was a user asking when their siblings last visited. Another asked it to list similar towns to where they live because they are thinking of moving. Ellmann offered answers to both. 

Ellmann also presented a summary of the user’s eating habits, other slides showed. “You seem to enjoy Italian food. There are several photos of pasta dishes, as well as a photo of a pizza.” It also said that the user seemed to enjoy new food because one of their photos had a menu with a dish it didn’t recognize.

The technology also determined what products the user was considering purchasing, their interests, work, and travel plans based on the user’s screenshots, the presentation stated. It also suggested it would be able to know their favorite websites and apps, giving examples Google Docs, Reddit and Instagram.

A Google spokesperson told CNBC, “Google Photos has always used AI to help people search their photos and videos, and we’re excited about the potential of LLMs to unlock even more helpful experiences. This is a brainstorming concept a team is at the early stages of exploring. As always, we’ll take the time needed to ensure we do it responsibly, protecting users’ privacy as our top priority.”

Big Tech’s race to create AI-driven ‘Memories’

The proposed Project Ellmann could help Google in the arms race among tech giants to create more personalized life memories.

Google Photos and Apple Photos have for years served “memories” and generated albums based on trends in photos.

In November, Google announced that with the help of AI, Google Photos can now group together similar photos and organize screenshots into easy-to-find albums.

Apple announced in June that its latest software update will include the ability for its photo app to recognize people, dogs, and cats in their photos. It already sorts out faces and allows users to search for them by name.

Apple also announced an upcoming Journal App, which will use on-device AI to create personalized suggestions to prompt users to write passages that describe their memories and experiences based on recent photos, locations, music and workouts.

But Apple, Google and other tech giants are still grappling with the complexities of displaying and identifying images appropriately.

For instance, Apple and Google still avoid labeling gorillas after reports in 2015 found the company mislabeling Black people as gorillas. A New York Times investigation this year found Apple and Google’s Android software, which underpins most of the world’s smartphones, turned off the ability to visually search for primates for fear of labeling a person as an animal.

Companies including Google, Facebook and Apple have over time added controls to minimize unwanted memories, but users have reported they sometimes still surface unwanted memories and require the users to toggle through several settings in order to minimize them.

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India is betting $18 billion to build a chip powerhouse. Here’s what it means

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India is betting  billion to build a chip powerhouse. Here’s what it means

A robotic machine manufactures a semiconductor chip at a stall to show investors during The Advantage Assam 2.0 Investment Summit in Guwahati, India, on Feb. 25, 2025.

Nurphoto | Nurphoto | Getty Images

India wants to become a global chip major, but the odds are steep: competition is fierce, and India is a late entrant in the race to make the most advanced chips.

In 2022, when the U.S. restricted exports of its advanced AI chips to China to curb Beijing’s access to cutting-edge technology, a global race for semiconductor self-reliance began.

For India, it offered an opportunity: the country wants to reduce dependence on imports, secure chips for strategic sectors, and capture a bigger share of the global electronics market shifting away from China.

India is one of the world’s largest consumers of electronics, but it has no local chip industry and plays a minimal role in the global supply chain. New Delhi’s “Semiconductor Mission” aims to change that.

The ambition is bold. It wants to create a full supply chain — from design to fabrication, testing and packaging — on Indian soil.

As of this month, the country has approved 10 semiconductor projects with total investment of 1.6 trillion rupees ($18.2 billion). These include two semiconductor fabrication plants, and multiple testing and packing factories.

India also has a pool of engineering talent that is already employed by global chip design companies.

Yet progress so far has been uneven, and neither the investments nor talent pool is enough to make India’s chip ambitions a reality, say experts.

“India needs more than a few fabs or ATP facilities (i.e., more than a few “shiny objects.”) It needs a dynamic and deep and long-term ecosystem,” said Stephen Ezell, vice president for global innovation policy at the Information Technology and Innovation Foundation, a science and technology policy think tank.

Ezell says that leading semiconductor manufacturers consider “as many as 500 discrete factors” before they set up multi-billion-dollar fab investments. These include talent, tax, trade, technology policies, labor rates and laws and customs policies — all areas where India has work to do.

New Delhi’s policy push

In May, the Indian government added a new element to its chip ambition: a scheme to support electronic component manufacturing, addressing a critical bottleneck.

Until now, chipmakers had no local demand for their product as there are hardly any electronic component manufacturing companies, such as phone camera companies, in India.

Researchers inside the semiconductor fabrication lab at the Centre for Nano Science and Engineering, at the Indian Institute of Science, in Bangalore.

Manjunath Kiran | Afp | Getty Images

But the new policy offers financial support to companies producing active and passive electronic components, creating a potential domestic buyer-supplier base that chip manufacturers can plug into.

In 2022, the country also pivoted from its strategy of providing superior incentives to fabrication units making chips of 28nm or less. When it comes to chips, the smaller the size, the higher the performance with improved energy efficiency. These chips can be used in new technologies like advanced AI and quantum computing by packing more transistors into the same space.

But this approach wasn’t helping India develop its nascent semiconductor industry, so New Delhi now covers 50% of the project costs of all fabrication units, regardless of chip size, and of chip testing and packing units.

Fab companies from Taiwan and the U.K., and semiconductor packaging companies from the U.S. and South Korea have all shown interest in aiding India’s semiconductor ambitions.

“The Indian government has doled out generous incentives to attract semiconductor manufacturers to India,” said Ezell, but he stressed that “those sorts of investments aren’t sustainable forever.”

The long road

The biggest chip project in India currently is the 910-billion-rupee ($11 billion) semiconductor fabrication plant being built in Prime Minister Narendra Modi’s home state of Gujarat by Tata Electronics, in partnership with Taiwan’s Powerchip Semiconductor Manufacturing Corp.

The unit will make chips for power management integrated circuits, display drivers, microcontrollers and high-performance computing logic, Tata Electronics said, which can be used in AI, automotive, computing and data storage industries.

The U.K.’s Clas-SiC Wafer Fab has also tied up with India’s SiCSem to set up the country’s first commercial compound fab in the eastern state of Odisha.

These compound semiconductors can be used in missiles, defence equipment, electric vehicles, consumer appliances and solar power inverters, according to a government press release.

“The coming 3-4 years is pivotal for advancing India’s semiconductor goals,” said Sujay Shetty, managing director of semiconductor at PwC India.

Establishing operational silicon fabrication facilities and overcoming technical and infrastructural hurdles that extend beyond incentives will be a key milestone, according to Shetty.

Opportunities beyond fab

NEW DELHI, INDIA – MAY 14: Union Minister of Railways, Information and Broadcasting, Electronics and Information Technology Ashwini Vaishnaw briefing the media on Cabinet decisions at National Media Centre on May 14, 2025 in New Delhi, India.

Hindustan Times | Hindustan Times | Getty Images

Last week, Indian minister Ashwini Vaishnaw, who was in Bengaluru to inaugurate a new office of semiconductor design firm ARM, said the British company will design the “most advanced chips used in AI servers, drones, mobile phone chips of 2 nm” from the south Indian city.

But experts say the role of local talent is likely to be limited to non-core design testing and validation, as the core intellectual property for chip designs is often held in locations like the U.S. or Singapore, where established IP regimes support such activities.

“India has sufficient talent in design space, because unlike semiconductor manufacturing and testing that has come up in the last 2 years, design has been there since 1990s,” said Jayanth BR, a recruiter with over 15 years of experience in hiring for global semiconductor companies in India.

He said global companies usually outsource “block-level” design validation work to India.

Going beyond this is something India’s government will need to solve if it wants to fulfil its semiconductor ambitions.

“India may consider updating its IP laws to address new forms of IP, like digital content and software. Of course, improving enforcement mechanisms will go a long way in protecting IP rights,” says Sajai Singh, a partner at Mumbai-based JSA Advocates & Solicitors.

“Our competition is with countries like the U.S., Europe, and Taiwan, which not only have strong IP laws, but also a more established ecosystem for chip design.”

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‘We need the smartest people’: Nvidia, OpenAI CEOs react to Trump’s H-1B visa fee

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'We need the smartest people': Nvidia, OpenAI CEOs react to Trump's H-1B visa fee

Nvidia CEO Jensen Huang attends the “Winning the AI Race” Summit in Washington D.C., U.S., July 23, 2025.

Kent Nishimura | Reuters

Nvidia CEO Jensen Huang and OpenAI CEO Sam Altman on Monday commented on President Donald Trump’s decision to increase the cost of hiring overseas workers on visas.

Trump on Friday announced that he would raise the fee for an H-1B visa to $100,000, leaving companies scrambling. Employers now must have documentation of the payment prior to filing an H-1B petition on behalf of a worker. Applicants will have their petitions restricted for 12 months until the payment is made, according to the White House.

Huang and Altman responded to the changes in an interview with CNBC’s Jon Fortt, where the two executives announced that Nvidia will invest $100 billion in OpenAI as the artificial intelligence lab sets out to build hundreds of billions of dollars-worth of data centers based around the chipmaker’s AI processors.

“We want all the brightest minds to come to the U.S. and remember immigration is the foundation of the American Dream,” Huang said Monday. “We represent the American Dream. And so I think immigration is really important to our company and is really important to our nation’s future, and I’m glad to see President Trump making the moves he’s making.”

OpenAI CEO Sam Altman also expressed a positive outlook on Trump’s changes.

“We need to get the smartest people in the country, and streamlining that process and also sort of outlining financial incentives seems good to me,” Altman said.

The new $100,000 fee would be a seismic shift for U.S. technology and finance sectors, which rely on the H-1B program for highly skilled immigrants, particularly from India and China. Those two countries accounted for 71% and 11.7% of visa holders last year, respectively.

Those who already have H-1B visas and are located outside the U.S. will not be required to pay the fee in order to re-enter. Many employers use H-1B workers to fill the gaps in these highly technical roles that are not found within the American labor supply. 

— CNBC tech reporter Annie Palmer contributed to this report.

WATCH: Watch CNBC’s full interview with Nvidia CEO Jensen Huang and OpenAI leaders Sam Altman and Greg Brockman

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Here’s everything Trump is changing with H-1B visas

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Here's everything Trump is changing with H-1B visas

President Donald Trump speaks before signing executive orders in the Oval Office at the White House on September 19, 2025 in Washington, DC.

Andrew Harnik | Getty Images

President Donald Trump raised the fee for an H-1B visa to $100,000 on Friday, leaving companies scrambling to respond.

With many left wondering whether their careers will remain in tact, here’s a breakdown of the new H-1B fees:

What did Trump change?

As of Sunday, H-1B visa applications will require a $100,000 payment. Previously, visa fees ranged from $2,000 to $5,000 per application, depending on the size of the company.

Employers now must have documentation of the payment prior to filing an H-1B petition on behalf of a worker. Applicants will have their petitions restricted for 12 months until the payment is made, according to the White House.

Who does this impact?

The fee will only be applied to new H-1B applicants, not renewals or current visa holders, according to White House press secretary Karoline Leavitt. The fee will be implemented in the upcoming lottery cycle.

Those who already have H-1B visas and are located outside the U.S. will not be required to pay the fee in order to re-enter.

Leavitt also clarified that the $100,000 is a one-time payment and not an annual charge.

Exceptions can be made to any immigrant whose employment is deemed essential in the national interest by the Secretary of Homeland Security and does not pose a threat to the security or welfare of the U.S.

Employees with B visas who have start dates prior to October 2026 will also receive additional guidance in order to prevent using those temporary business visas as a workaround for H-1B visas.

Who are these workers and why are they needed?

H-1B visas allows highly skilled foreign professionals to work in specialty occupations that generally require at least a bachelor’s degree to fulfill the role. Jobs in the fields of science, technology, engineering and math, or STEM, usually qualify.

Many employers use H-1B workers to fill the gaps in these highly technical roles that are not found within the American labor supply.

Companies in the tech and finance sectors rely heavily on these specially-skilled immigrants, particularly from India and China, which accounted for 71% and 11.7% of visa holders last year, respectively.

How many H-1B visas does the tech industry use every year?

The current annual cap for H-1B visas is 65,000, along with an additional 20,000 visas for foreign professionals with a master’s degree or doctorate from a U.S. institution. A lottery system is used to select additional petitions if demand exceeds the cap.

Since 2012, about 60% or more of approved H-1B workers had computer-related jobs, according to Pew Research.

Amazon was the top employer for H-1B holders in the fiscal year 2025, sponsoring over 10,000 applicants by the end of June, according to U.S. Citizenship and Immigration Services. Microsoft and Meta had over 5,000 each, while Apple and Google rounded out the top six with over 4,000 approvals.

WATCH: CoreWeave CEO on H-1B visas: Additional fee is ‘sand in the gears’ for access to talent

CoreWeave CEO on H-1B visas: Additional fee is 'sand in the gears' for access to talent

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