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Sundar Pichai, CEO of Google and Alphabet, speaks on artificial intelligence during a Bruegel think tank conference in Brussels, Belgium, on Jan. 20, 2020.

Yves Herman | Reuters

Google on Wednesday announced MedLM, a suite of new health-care-specific artificial intelligence models designed to help clinicians and researchers carry out complex studies, summarize doctor-patient interactions and more.

The move marks Google’s latest attempt to monetize health-care industry AI tools, as competition for market share remains fierce between competitors like Amazon and Microsoft. CNBC spoke with companies that have been testing Google’s technology, like HCA Healthcare, and experts say the potential for impact is real, though they are taking steps to implement it carefully.

The MedLM suite includes a large and a medium-sized AI model, both built on Med-PaLM 2, a large language model trained on medical data that Google first announced in March. It is generally available to eligible Google Cloud customers in the U.S. starting Wednesday, and Google said while the cost of the AI suite varies depending on how companies use the different models, the medium-sized model is less expensive to run. 

Google said it also plans to introduce health-care-specific versions of Gemini, the company’s newest and “most capable” AI model, to MedLM in the future.

Aashima Gupta, Google Cloud’s global director of health-care strategy and solutions, said the company found that different medically tuned AI models can carry out certain tasks better than others. That’s why Google decided to introduce a suite of models instead of trying to build a “one-size-fits-all” solution. 

For instance, Google said its larger MedLM model is better for carrying out complicated tasks that require deep knowledge and lots of compute power, such as conducting a study using data from a health-care organization’s entire patient population. But if companies need a more agile model that can be optimized for specific or real-time functions, such as summarizing an interaction between a doctor and patient, the medium-sized model should work better, according to Gupta.

Real-world use cases

A Google Cloud logo at the Hannover Messe industrial technology fair in Hanover, Germany, on Thursday, April 20, 2023.

Krisztian Bocsi | Bloomberg | Getty Images

When Google announced Med-PaLM 2 in March, the company initially said it could be used to answer questions like “What are the first warning signs of pneumonia?” and “Can incontinence be cured?” But as the company has tested the technology with customers, the use cases have changed, according to Greg Corrado, head of Google’s health AI. 

Corrado said clinicians don’t often need help with “accessible” questions about the nature of a disease, so Google hasn’t seen much demand for those capabilities from customers. Instead, health organizations often want AI to help solve more back-office or logistical problems, like managing paperwork.  

“They want something that’s helping them with the real pain points and slowdowns that are in their workflow, that only they know,” Corrado told CNBC. 

For instance, HCA Healthcare, one of the largest health systems in the U.S., has been testing Google’s AI technology since the spring. The company announced an official collaboration with Google Cloud in August that aims to use its generative AI to “improve workflows on time-consuming tasks.” 

Dr. Michael Schlosser, senior vice president of care transformation and innovation at HCA, said the company has been using MedLM to help emergency medicine physicians automatically document their interactions with patients. For instance, HCA uses an ambient speech documentation system from a company called Augmedix to transcribe doctor-patient meetings. Google’s MedLM suite can then take those transcripts and break them up into the components of an ER provider note.

Schlosser said HCA has been using MedLM within emergency rooms at four hospitals, and the company wants to expand use over the next year. By January, Schlosser added, he expects Google’s technology will be able to successfully generate more than half of a note without help from providers. For doctors who can spend up to four hours a day on clerical paperwork, Schlosser said saving that time and effort makes a meaningful difference. 

“That’s been a huge leap forward for us,” Schlosser told CNBC. “We now think we’re going to be at a point where the AI, by itself, can create 60-plus percent of the note correctly on its own before we have the human doing the review and the editing.” 

Schlosser said HCA is also working to use MedLM to develop a handoff tool for nurses. The tool can read through the electronic health record and identify relevant information for nurses to pass along to the next shift. 

Handoffs are “laborious” and a real pain point for nurses, so it would be “powerful” to automate the process, Schlosser said. Nurses across HCA’s hospitals carry out around 400,000 handoffs a week, and two HCA hospitals have been testing the nurse handoff tool. Schlosser said nurses conduct a side-by-side comparison of a traditional handoff and an AI-generated handoff and provide feedback.

With both use cases, though, HCA has found that MedLM is not foolproof.

Schlosser said the fact that AI models can spit out incorrect information is a big challenge, and HCA has been working with Google to come up with best practices to minimize those fabrications. He added that token limits, which restrict the amount of data that can be fed to the model, and managing the AI over time have been additional challenges for HCA. 

“What I would say right now, is that the hype around the current use of these AI models in health care is outstripping the reality,” Schlosser said. “Everyone’s contending with this problem, and no one has really let these models loose in a scaled way in the health-care systems because of that.”

Even so, Schlosser said providers’ initial response to MedLM has been positive, and they recognize that they are not working with the finished product yet. He said HCA is working hard to implement the technology in a responsible way to avoid putting patients at risk.

“We’re being very cautious with how we approach these AI models,” he said. “We’re not using those use cases where the model outputs can somehow affect someone’s diagnosis and treatment.”

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Google also plans to introduce health-care-specific versions of Gemini to MedLM in the future. Its shares popped 5% after Gemini’s launch earlier this month, but Google faced scrutiny over its demonstration video, which was not conducted in real time, the company confirmed to Bloomberg

In a statement, Google told CNBC: “The video is an illustrative depiction of the possibilities of interacting with Gemini, based on real multimodal prompts and outputs from testing. We look forward to seeing what people create when access to Gemini Pro opens on December 13.”

Corrado and Gupta of Google said Gemini is still in early stages, and it needs to be tested and evaluated with customers in controlled health-care settings before the model rolls out through MedLM more broadly. 

“We’ve been testing Med-PaLM 2 with our customers for months, and now we’re comfortable taking that as part of MedLM,” Gupta said. “Gemini will follow the same thing.” 

Schlosser said HCA is “very excited” about Gemini, and the company is already working out plans to test the technology, “We think that may give us an additional level of performance when we get that,” he said.

Another company that has been using MedLM is BenchSci, which aims to use AI to solve problems in drug discovery. Google is an investor in BenchSci, and the company has been testing its MedLM technology for a few months.  

Liran Belenzon, BenchSci’s co-founder and CEO, said the company has merged MedLM’s AI with BenchSci’s own technology to help scientists identify biomarkers, which are key to understanding how a disease progresses and how it can be cured. 

Belenzon said the company spent a lot of time testing and validating the model, including providing Google with feedback about necessary improvements. Now, Belenzon said BenchSci is in the process of bringing the technology to market more broadly.  

“[MedLM] doesn’t work out of the box, but it helps accelerate your specific efforts,” he told CNBC in an interview. 

Corrado said research around MedLM is ongoing, and he thinks Google Cloud’s health-care customers will be able to tune models for multiple different use cases within an organization. He added that Google will continue to develop domain-specific models that are “smaller, cheaper, faster, better.”  

Like BenchSci, Deloitte tested MedLM “over and over” before deploying the technology to health-care clients, said Dr. Kulleni Gebreyes, Deloitte’s U.S. life sciences and health-care consulting leader.

Deloitte is using Google’s technology to help health systems and health plans answer members’ questions about accessing care. If a patient needs a colonoscopy, for instance, they can use MedLM to look for providers based on gender, location or benefit coverage, as well as other qualifiers. 

Gebreyes said clients have found that MedLM is accurate and efficient, but it’s not always great at deciphering a user’s intent. It can be a challenge if patients don’t know the right word or spelling for colonoscopy, or use other colloquial terms, she said. 

“Ultimately, this does not substitute a diagnosis from a trained professional,” Gebreyes told CNBC. “It brings expertise closer and makes it more accessible.”

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Cognition to buy AI startup Windsurf days after Google poached CEO in $2.4 billion licensing deal

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Cognition to buy AI startup Windsurf days after Google poached CEO in .4 billion licensing deal

In this photo illustration, a man seen holding a smartphone with the logo of US artificial intelligence company Cognition AI Inc. in front of website.

Timon Schneider | SOPA Images | Sipa USA | AP

Artificial intelligence startup Cognition announced it’s acquiring Windsurf, the AI coding company that lost its CEO and several other senior employees to Google just days earlier.

Cognition said on Monday that it will purchase Windsurf’s intellectual property, product, trademark, brand and talent, but didn’t disclose terms of the deal. It’s the latest development in an AI talent war, as companies like Meta, Google and OpenAI fiercely compete for top engineers and researchers.

OpenAI had been in talks to acquire Windsurf for about $3 billion in April, but the deal fell apart, and Google said on Friday that it hired Windsurf’s co-founder and CEO Varun Mohan. Google is paying $2.4 billion in licensing fees and for compensation, as CNBC previously reported.

“Every new employee of Cognition will be treated the same way as existing employees: with transparency, fairness, and deep respect for their abilities and value,” Cognition CEO Scott Wu wrote in a memo to employees on Monday. “After today, our efforts will be as a united and aligned team. There’s only one boat and we’re all in it together.”

Cognition didn’t immediately respond to CNBC’s request for comment. Windsurf directed CNBC to Cognition.

Cognition is best known for its AI coding agent named Devin, which is designed to help engineers build software faster. As of March, the startup had raised hundreds of millions of dollars at a valuation of close to $4 billion, according to a report from Bloomberg.

Both companies are backed by Peter Thiel’s Founders Fund. Other investors in Windsurf include Greenoaks, Kleiner Perkins and General Catalyst.

“I’m overwhelmed with excitement and optimism, but most of all, gratitude,” Jeff Wang, the interim CEO of Windsurf, wrote in a post on X on Monday. “Trying times reveal character, and I couldn’t be prouder of how every single person at Windsurf showed up these last three days for each other and for our users.”

Wu said that the acquisition ensures all Windsurf employees are “treated with respect and well taken care of in this transaction.” All employees will participate financially in the deal, have vesting cliffs waived for their work to date and receive fully accelerated vesting for their, according to the memo.

“There’s never been a more exciting time to build,” Wu wrote.

WATCH: Google snatches Windsurf CEO after OpenAI deal dissolves

Google snatches Windsurf CEO after OpenAI deal dissolves

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Musk’s xAI faces European scrutiny over Grok’s ‘horrific’ antisemitic posts

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Musk's xAI faces European scrutiny over Grok's 'horrific' antisemitic posts

The Grok logo is being displayed on a smartphone with Xai visible in the background in this photo illustration on April 1, 2024. 

Jonathan Raa | Nurphoto | Getty Images

The European Union on Monday called in representatives from Elon Musk‘s xAI after the company’s social network X, and chatbot Grok, generated and spread anti-semitic hate speech, including praise for Adolf Hitler, last week.

A spokesperson for the European Commission told CNBC via e-mail that a technical meeting will take place on Tuesday.

xAI did not immediately respond to a request for comment.

Sandro Gozi, a member of Italy’s parliament and member of the Renew Europe group, last week urged the Commission to hold a formal inquiry.

“The case raises serious concerns about compliance with the Digital Services Act (DSA) as well as the governance of generative AI in the Union’s digital space,” Gozi wrote.

X was already under a Commission probe for possible violations of the DSA.

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Grok also generated and spread offensive posts about political leaders in Poland and Turkey, including Polish Prime Minister Donald Tusk and Turkish President Recep Erdogan.

Over the weekend, xAI posted a statement apologizing for the hateful content.

“First off, we deeply apologize for the horrific behavior that many experienced. … After careful investigation, we discovered the root cause was an update to a code path upstream of the @grok bot,” the company said in the statement.

Musk and his xAI team launched a new version of Grok Wednesday night amid the backlash. Musk called it “the smartest AI in the world.”

xAI works with other businesses run and largely owned by Musk, including Tesla, the publicly traded automaker, and SpaceX, the U.S. aerospace and defense contractor.

Despite Grok’s recent outburst of hate speech, the U.S. Department of Defense awarded xAI a $200 million contract to develop AI. Anthropic, Google and OpenAI also received AI contracts.

CNBC’s April Roach contributed to this article.

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Meta removes 10 million Facebook profiles in effort to combat spam

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Meta removes 10 million Facebook profiles in effort to combat spam

Meta CEO Mark Zuckerberg looks on before the luncheon on the inauguration day of U.S. President Donald Trump’s second presidential term in Washington on Jan. 20, 2025.

Evelyn Hockstein | Reuters

Meta on Monday said it has removed about 10 million profiles for impersonating large content producers through the first half of 2025 as part of an effort by the company to combat “spammy content.”

The crackdown is part of Meta’s broader effort to make the Facebook feed more relevant and authentic by taking action against and removing accounts that engage in “spammy” behavior, such as content created using artificial intelligence tools.

As part of that initiative, Meta is also rolling out stricter measures to promote original posts from creators, the company said in a blog post.

Facebook also took action against approximately 500,000 accounts that it identified to be engaged in inauthentic behavior and spam. These actions included demoting comments and reducing distribution of content, which are intended to make it harder for these accounts to monetize their posts.

Meta said unoriginal content is when images or videos are reused without crediting the original creator. Meta said it now has technology that will detect duplicate videos and reduce the distribution of that content.

The action against spam and inauthentic content comes as Meta increases its investment in AI, with CEO Mark Zuckerberg on Monday announcing plans to spend “hundreds of billions of dollars” on AI compute infrastructure to bring the company’s first supercluster online next year.

This mandate comes at a time when AI is making it easier to mass-produce content across social media platforms. Other platforms are also taking action to combat the increase of spammy, low-quality content on social media, also known as “AI slop.”

Google’s YouTube announced a change in policy this month that prevents content that is mass-produced or repetitive from being eligible for being awarded revenue.

This announcement sparked confusion on social media, with many users believing this was a reversal on YouTube’s stance on AI content. However, YouTube clarified that the policy change is aimed at curbing unoriginal, spammy and repetitive videos.

“We welcome creators using AI tools to enhance their storytelling, and channels that use AI in their content remain eligible to monetize,” said a spokesperson for YouTube in a blog post to clarify the new policy.

YouTube’s new policy change will take effect on Tuesday.

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