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Chinese artificial intelligence lab DeepSeek roiled markets in January, setting off a massive tech and semiconductor selloff after unveiling AI models that it said were cheaper and more efficient than American ones. 

But the underlying fears and breakthroughs that sparked the selling go much deeper than one AI startup. Silicon Valley is now reckoning with a technique in AI development called distillation, one that could upend the AI leaderboard. 

Distillation is a process of extracting knowledge from a larger AI model to create a smaller one. It can allow a small team with virtually no resources to make an advanced model.

A leading tech company invests years and millions of dollars developing a top-tier model from scratch. Then a smaller team such as DeepSeek swoops in and trains its own, more specialized model by asking the larger “teacher” model questions. The process creates a new model that’s nearly as capable as the big company’s model but trains more quickly and efficiently. 

“This distillation technique is just so extremely powerful and so extremely cheap, and it’s just available to anyone,” said Databricks CEO Ali Ghodsi, adding that he expects to see innovation when it comes to how large language models, or LLMs, are built. “We’re going to see so much competition for LLMs. That’s what’s going to happen in this new era we’re entering.” 

Distillation is now enabling less-capitalized startups and research labs to compete at the cutting edge faster than ever before.

Using this technique, researchers at Berkeley said, they recreated OpenAI’s reasoning model for $450 in 19 hours last month. Soon after, researchers at Stanford and the University of Washington created their own reasoning model in just 26 minutes, using less than $50 in compute credits, they said. The startup Hugging Face recreated OpenAI’s newest and flashiest feature, Deep Research, as a 24-hour coding challenge. 

DeepSeek didn’t invent distillation, but it woke up the AI world to its disruptive potential. It also ushered in the rise of a new open-source order — a belief that transparency and accessibility drive innovation faster than closed-door research.

“Open source always wins in the tech industry,” said Arvind Jain, CEO of Glean, which makes an AI-powered search engine for enterprises. “You cannot beat the momentum that a successful open-source project is able to actually generate.” 

OpenAI itself has walked back its closed-source strategy in the wake of DeepSeek’s accomplishment.

“Personally I think we have been on the wrong side of history here and need to figure out a different open-source strategy,” OpenAI CEO Sam Altman wrote in a post on Reddit on Jan. 31. 

The combination of distillation’s newfound traction and open source’s rise in popularity is completely altering the competitive dynamics in AI. 

Watch the video to learn more.

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Big Tech split? Google to sign EU’s AI guidelines despite Meta snub

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Big Tech split? Google to sign EU’s AI guidelines despite Meta snub

VCG | Visual China Group | Getty Images

Google on Wednesday said it will sign the European Union’s guidelines on artificial intelligence, which Meta previously rebuffed due to concerns they could stifle innovation.

In a blog post, Google said it planned to sign the code in the hope that it would promote European citizens’ access to advanced new AI tools, as they become available.

Google’s endorsement comes after Meta recently said it would refuse to sign the code over concerns that it could constrain European AI innovation.

“Prompt and widespread deployment is important,” Kent Walker, president of global affairs of Google, said in the post, adding that embracing AI could boost Europe’s economy by 1.4 trillion euros ($1.62 trillion) annually by 2034.

The European Commission, which is the executive body of the EU, published a final iteration of its code of practice for general-purpose AI models, leaving it up to companies to decide if they want to sign.

The guidelines lay out how to meet the requirements of the EU AI Act, a landmark law overseeing the technology, when it comes to transparency, safety, and security.

However, Google also flagged fears over the potential for the guidelines to slow technological advances around AI.

“We remain concerned that the AI Act and Code risk slowing Europe’s development and deployment of AI,” Kent Walker, president of global affairs of Google, said in the post Wednesday.

“In particular, departures from EU copyright law, steps that slow approvals, or requirements that expose trade secrets could chill European model development and deployment, harming Europe’s competitiveness.”

Earlier this month, Meta declined to sign the EU AI code of practice, calling it an overreach that would “stunt” the industry.

“Europe is heading down the wrong path on AI,” Joel Kaplan, Meta’s global affairs chief, wrote in a LinkedIn post at the time. “This code introduces a number of legal uncertainties for model developers, as well as measures which go far beyond the scope of the AI Act.”

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South Korea’s LG Energy Solution signs $4.3 billion battery supply deal with undisclosed party

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South Korea's LG Energy Solution signs .3 billion battery supply deal with undisclosed party

The logo of LG Electronics is seen on the opening day of the Integrated Systems Europe exhibition in Barcelona on January 31, 2023.

Pau Barrena | Afp | Getty Images

South Korea-based LG Energy Solution announced Wednesday that it had signed a $4.3 billion contract for supplying batteries to a major corporation, without naming the customer.

The effective date of contract — receipt of orders — began Tuesday and will conclude at the end of July, 2030. During this period, the counterparty will not be disclosed to maintain business confidentiality, the company’s filing with the Korea Exchange showed Wednesday. Reuters reported that Tesla was the counterparty.

Earlier this week, Tesla CEO Elon Musk confirmed that the EV maker was behind a previously undisclosed $16.5 billion chip contract with South Korea’s Samsung Electronics. 

LG Energy said in its filing that details of the contract such as the deal amount were subject to change and the contract period could be extended by up to seven years. 

“Investors are advised to carefully consider the possibility of changes or termination of the contract when making investment decisions,” the company cautioned. It’s shares were trading 0.26% lower. 

The filing did not clarify whether the lithium iron phosphate batteries would be used in vehicles or energy storage systems. Its major battery customers include American electric-vehicle makers Tesla and General Motors.

The company has been expanding its battery production in the U.S., and is constructing a plant in Arizona that will produce lithium iron phosphate batteries. 

LG Energy Solution and Tesla did not immediately respond to CNBC’s requests for comment. 

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CyberArk’s stock jumps on report Palo Alto Networks in talks to buy company for over $20 billion

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CyberArk's stock jumps on report Palo Alto Networks in talks to buy company for over  billion

Nikesh Arora, CEO of Palo Alto Networks, looks on during the closing bell at the Nasdaq Market in New York City, U.S., March 25, 2025.

Jeenah Moon | Reuters

CyberArk shares soared as much as 18% on Tuesday after The Wall Street Journal reported that cybersecurity provider Palo Alto Networks has held discussions to buy the identity management software maker for over $20 billion.

Cloud security is becoming an increasingly critical piece of the enterprise tech stack, especially as rapid advancements in artificial intelligence bring with them a whole new set of threats, and as ransomware attacks become more commonplace.

Founded in 2005, Palo Alto Networks has emerged in recent years as a consolidator in the cybersecurity industry and has grown into the biggest player in the space by market cap, with a valuation of over $130 billion. CEO Nikesh Arora, who was appointed to the job in 2018, has been on a spending spree, snapping up Protect AI in a deal that closed in July, and in 2023 buying Talon Cyber Security, Dig Security and Zycada Networks.

But CyberArk would represent by far Arora’s biggest bet yet. The Israeli company, which went public in 2014, provides technology that helps companies streamline the process of logging on to applications for employees.

CyberArk faces competition from Microsoft, Okta and IBM‘s HashiCorp. Another rival, SailPoint, returned to the public markets in February.

With Tuesday’s rally, CyberArk shares climbed to a record, surpassing their prior all-time high reached in February. The stock is up 29% this year, pushing the company’s market cap to almost $21 billion, after jumping 52% in 2024. Palo Alto shares, meanwhile, slid 3.5% on the report and are now up about 9% for the year.

Representatives from Palo Alto Networks and CyberArk declined to comment.

During the first quarter, CyberArk generated around $11.5 million in net income on around $318 million in revenue, which was up 43% from a year earlier.

It’s been an active stretch for big deals in the cyber market. Google said in March that it was spending $32 billion on Wiz, its largest acquisition on record by far, and a purchase intended to bolster its cloud business with greater AI security technology.

Networking giant Cisco also made its biggest deal ever in the security space, buying Splunk in 2023 for $28 billion. Splunk’s technology helps businesses monitor and analyze their data to minimize the risk of hacks and resolve technical issues faster.

— CNBC’s Ari Levy contributed to this report

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