Sam Altman, co-founder and chief executive officer of OpenAI Inc., speaks during TechCrunch Disrupt 2019 in San Francisco, California, on Thursday, Oct. 3, 2019.
David Paul Morris | Bloomberg | Getty Images
For his day job, Tobias Zwingmann is the managing partner of RAPYD.AI, a German consulting firm that helps clients make use of artificial intelligence. On the side, Zwingmann teaches online courses on AI.
Lately, Zwingmann has been generating lecture notes using ChatGPT, a new chatbot that’s quickly become the latest fad in tech. Zwingmann said he recently asked ChatGPT to explain the mechanisms and workings of a machine learning technology known as a DBSCAN, which is short for density-based spatial clustering of applications with noise, because he is too “lazy to write it all down.”
“I went up and said, ‘OK, tell me a detailed step by step of how the DBSCAN algorithm works,’ and it gave me that step by step,” Zwingmann said.
After a little bit of polishing and editing, Zwingmann said the lecture notes were in good shape.
“This took me like 30 minutes, and before that I would have spent the whole day,” Zwingmann said. “I can’t neglect that this has proven to be hugely beneficial.”
ChatGPT debuted in late November and has quickly turned into a viral sensation, with people tweeting questions, such as “Are NFTs dead,” and requests like, “Tell a funny joke about the tax risks of international remote work.” They include a screenshot of ChatGPT’s response, which often — but not always — makes sense.
The technology was developed by San Francisco-based OpenAI, a research company led by Sam Altman and backed by Microsoft, LinkedIn co-founder Reid Hoffman and Khosla Ventures. ChatGPT automatically generates text based on written prompts in a fashion that’s much more advanced and creative than the chatbots of Silicon Valley’s past.
In a year that’s turned into a dud for the technology sector, with mass layoffs, wrecked stock prices and crypto catastrophes dominating the headlines, ChatGPT has served as a reminder that innovation is still happening.
Tech executives and venture capitalists have gushed about it on Twitter, some even comparing it to Apple’s debut of the iPhone in 2007. Five days after OpenAI released ChatGPT, Altman said that the chat research tool “crossed 1 million users!”
Back in 2016, tech giants like Facebook, Google and Microsoft were trumpeting digital assistants as the next evolution of human and computer interaction. They boasted of the potential for chatbots to order Uber rides, buy plane tickets and answer questions in a life-like manner.
Six years later, progress has been slow. The majority of chatbots that people interact with are still relatively primitive, only capable of answering rudimentary questions on corporate help desk pages or minimally helping frustrated customers understand why their cable bills are so high.
But with early ChatGPT adopters demonstrating the technology’s ability to carry a conversation through multiple queries in addition to generating software code, the world of so-called natural language processing appears to be entering a new phase.
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It’s part of the larger trend. Tech investors are pouring billions of dollars in startups specializing in the field of generative AI, which refers to the ability of computers to automatically create text, videos, photos and other media using cutting-edge machine learning technologies.
Brendan Burke, an analyst at tech industry data firm PitchBook, said a number of early-stage investors have turned their attention from cryptocurrencies and related concepts like web3 to generative AI technologies.
“That’s a trend that is perceptible,” Burke said.
According to PitchBook, the top firms in the space are Khosla, David Sacks’ Craft Ventures, Sequoia, Entrepreneur First out of the U.K. and Lux Capital. Investors have also noticed on platforms like GitHub that many web3 developers have shifted their attention from NFTs and crypto projects to open-source generative AI initiatives, Burke said.
“I think that’s a sign of some of the rethinking that’s going on throughout the early-stage market,” Burke said.
What is ChatGPT?
ChatGPT is essentially a variant of OpenAI’s popular GPT-3.5 language-generation software that’s been designed to carry conversations with people. Some of its features include answering follow-up questions, challenging incorrect premises, rejecting inappropriate queries and even admitting its mistakes, according to an OpenAI summary of the language model.
ChatGPT was trained on an enormous amount of text data. It learned to recognize patterns that enable it to produce its own text mimicking various writing styles, said Bern Elliot, a vice president at Gartner. OpenAI doesn’t reveal what precise data was used for training ChatGPT, but the company says it generally crawled the web, used archived books and Wikipedia.
OpenAI declined to comment for this story.
Elliot said that for now ChatGPT is more of a way for OpenAI to gain publicity and to show what’s possible for large language models, as opposed to a useful piece of software for businesses to incorporate. While ChatGPT is free, OpenAI sells access to its underlying language and related AI models for businesses to use.
“ChatGPT, as currently conceived, is a parlor trick,” Elliot said. “It’s something that isn’t actually itself going to solve what people need, unless what they need is sort of a distraction.”
However, Zwingmann isn’t alone in using ChatGPT for more advanced purposes.
Cai GoGwilt, the chief technology officer of digital contract management startup Ironclad, said his company is exploring how ChatGPT could be used to summarize changes to legal documents. The feature would be helpful for the startup’s legal clients, who routinely alter documents and then notify their colleagues after they made the changes, GoGwilt said.
GoGwilt said ChatGPT offers “more creative” responses compared to similar language models developed by big tech companies. Meta’s AI language tool, dubbed RoBERTa, seems more capable at categorizing and labeling text, GoGwilt said, adding that his company uses both GPT and RoBERTa to power certain features in its digital document software.
At legal research and data company LexisNexis, Min Chen, a vice president, said in an email that she and her team are just starting to test ChatGPT although they already use OpenAI’s GPT-3 software through Microsoft’s Azure cloud.
Chen said GPT-3 is more suitable for LexisNexis because it’s an enterprise product and can be customized. However, her team has been experimenting with ChatGPT and she said it sometimes generates “sensible answers” that are “very impressive.” Still, it has its flaws.
“I am afraid it’s not reliable enough as a decision-making tool for serious legal research,” Min said. “In some cases, ChatGPT will give a very verbose answer that seems to make sense, but the answer is not getting the facts right.”
There’s also the bias problem, which is true for many kinds of AI-powered software.
As Mozilla senior fellow Abeba Birhaneshared on Twitter, ChatGPT produced song lyrics that implied women who wear lab coats are “probably just there to clean the floor,” whereas men wearing lab coats “probably got the knowledge and skills you’re looking for.”
Regarding ChatGPT’s limitations, OpenAI said in a blog post that while the firm is working to mitigate bias problems, the software “will sometimes respond to harmful instructions or exhibit biased behavior.”
Altman said in a tweet over the weekend that ChatGPT is “incredibly limited” and “it’s a mistake to be relying on it for anything important right now.”
Krishna Gade, CEO of AI model monitoring startup Fiddler, said ChatGPT and related language technologies could lead to big “disruptions in web search,” an area long dominated by Google.
Gade, who previously worked at Microsoft’s Bing search unit, said if ChatGPT’s popularity continues to grow along with other chat-based tools that answer questions, Google may have to update its core search technology to more prominently center on chat.
ChatGPT’s rising popularity shows there is a segment of the population that prefers getting information via question and answers as opposed to a typical search query.
Google parent Alphabet has plenty of AI talent and has helped develop some of the core AI technologies used to create systems like ChatGPT. The search engine is also a habit that’s very difficult to displace.
As Zwingmann notes, Google still has a major advantage over ChatGPT.
“The way it works currently is people use ChatGPT and then go to Google to verify the results,” Zwingmann said, with a laugh.
Here’s what happened when we typed in, “Write me a news story about ChatGPT in the style of CNBC.”
As of December 13, 2022, ChatGPT, the new language processing AI from OpenAI, is making waves in the tech industry. The advanced model, which is trained to generate human-like text, is already being hailed as a game-changer for businesses that rely on natural language processing.
ChatGPT’s ability to understand and respond to a wide range of topics has been particularly impressive, with some even suggesting that it has the potential to revolutionize the way we interact with technology. Many experts believe that ChatGPT’s advanced capabilities will be a valuable asset for companies in fields such as customer service, online education, and market research.
One of the key advantages of ChatGPT is its ability to learn and adapt quickly to new information. This means that it can be trained to handle new topics and tasks without the need for extensive retraining. Additionally, ChatGPT is highly scalable, which makes it well-suited for use in large-scale applications. So far, the response to ChatGPT has been overwhelmingly positive, with many praising its advanced capabilities and ease of use. It remains to be seen how ChatGPT will be used in the coming years, but it’s clear that it has the potential to be a major player in the world of natural language processing.
Silicon Valley executives and financiers publicly opened their wallets in support of President Donald Trump’s 2024 presidential run. The early returns in 2025 aren’t great, to say the least.
Following Trump’s sweeping tariff plan announced Wednesday, the Nasdaq suffered steep consecutive daily drops to finish 10% lower for the week, the index’s worst performance since the beginning of the Covid pandemic in 2020.
The tech industry’s leading CEO’s rushed to contribute to Trump’s inauguration in January and paraded to Washington, D.C., for the event. Since then, it’s been a slog.
The market can always turn around, but economists and investors aren’t optimistic, and concerns are building of a potential recession. The seven most valuable U.S. tech companies lost a combined $1.8 trillion in market cap in two days.
Apple slid 14% for the week, its biggest drop in more than five years. Tesla, led by top Trump adviser Elon Musk, plunged 9.2% and is now down more than 40% for the year. Musk contributed close to $300 million to help propel Trump back to the White House.
Nvidia, Meta and Amazon all suffered double-digit drops for the week. For Amazon, a ninth straight weekly decline marks its longest such losing streak since 2008.
With Wall Street selling out of risky assets on concern that widespread tariff hikes will punish the U.S. and global economy, the fallout has drifted down to the IPO market. Online lender Klarna and ticketing marketplace StubHub delayed their IPOs due to market turbulence, just weeks after filing with the Securities and Exchange Commission, and fintech company Chime is also reportedly delaying its listing.
CoreWeave, a provider of artificial intelligence infrastructure, last week became the first venture-backed company to raise more than $1 billion in a U.S. IPO since 2021. But the company slashed its offering, and trading has been very volatile in its opening days on the market. The stock plunged 12% on Friday, leaving it 17% above its offer price but below the bottom of its initial range.
“You couldn’t create a worse market and macro environment to go public,” said Phil Haslett, co-founder of EquityZen, a platform for investing in private companies. “Way too much turbulence. All flights are grounded until further notice.”
CoreWeave investor Mark Klein of SuRo Capital previously told CNBC that the company could be the first in an “IPO parade.” Now he’s backtracking.
“It appears that the IPO parade has been temporarily halted,” Klein told CNBC by email on Friday. “The current tariff situation has prompted these companies to pause and assess its impact.”
‘Cave rapidly’
During last year’s presidential campaign, prominent venture capitalists like Marc Andreessen backed Trump, expecting that his administration would usher in a boom and eliminate some of the hurdles to startup growth set up by the Biden administration. Andreessen and his partner, Ben Horowitz, said in July that their financial support of the Trump campaign was due to what they called a better “little tech agenda.”
A spokesperson for Andreessen Horowitz declined to comment.
Some techies who supported Trump in the campaign have taken to social media to defend their positions.
Venture capitalist Keith Rabois, a managing director at Khosla Ventures, posted on X on Thursday that “Trump Derangement Syndrome has morphed into Tariff Derangement Syndrome.” He said tariffs aren’t inflationary, are effective at reducing fentanyl imports, and he expects that “most other countries will cave and cave rapidly.”
That was before China’s Finance Ministry said on Friday that it will impose a 34% tariff on all goods imported from the U.S. starting on April 10.
At Sequoia Capital, which is the biggest investor in Klarna, outspoken Trump supporter Shaun Maguire, wrote on X, “The first long-term thinking President of my lifetime,” and said in a separate post that, “The price of stocks says almost nothing about the long term health of an economy.”
However, Allianz Chief Economic Advisor Mohamed El-Erian warned on Friday that Trump’s extensive raft of import tariffs are putting the U.S. economy at risk of recession.
“You’ve had a major repricing of growth prospects, with a recession in the U.S. going up to 50% probability, you’ve seen an increase in inflation expectations, up to 3.5%,” he told CNBC’s Silvia Amaro on the sidelines of the Ambrosetti Forum in Cernobbio, Italy.
Former Microsoft CEOs Bill Gates, left, and Steve Ballmer, center, pose for photos with CEO Satya Nadella during an event celebrating the 50th Anniversary of Microsoft on April 4, 2025 in Redmond, Washington.
Stephen Brashear | Getty Images
Meanwhile, executives at tech’s megacap companies were largely silent this week, and their public relations representatives declined to provide comments about their thinking.
Microsoft CEO Satya Nadella was in the awkward position on Friday of celebrating his company’s 50th anniversary at corporate headquarters in Redmond, Washington. Alongside Microsoft’s prior two CEOs, Bill Gates and Steve Ballmer, Nadella sat down with CNBC’s Andrew Ross Sorkin for a televised interview that was planned well before Trump’s tariff announcement.
When asked about the tariffs at the top of the interview, Nadella effectively dodged the question and avoided expressing his views about whether the new policies will hamper Microsoft’s business.
Ballmer, who was succeeded by Nadella in 2014, acknowledged to Sorkin that “disruption is very hard on people” and that, “as a Microsoft shareholder, this kind of thing is not good.” Ballmer and Gates are two of the 12 wealthiest people in the world thanks to their Microsoft fortunes.
C-suites may not be able to stay quiet for long, especially if the recent turmoil spills into next week.
Lise Buyer, who previously helped guide Google through its IPO and now works as an adviser to companies going public, said there’s no appetite for risk in the market under these conditions. But there is risk that staffers get jittery, and they’ll surely look to their leaders for some reassurance.
“Until markets settle out and we have the opportunity to access valuation levels, public company CEOs should work to calm potentially distressed employees,” Buyer said in an email. “And private company managements should refine plans to get by on dollars already in the treasury.”
— CNBC’s Hayden Field, Jordan Novet, Leslie Picker, Annie Palmer and Samantha Subin contributed to this report.
Elon Musk has been promising investors for about a decade that Tesla’s cars are on the verge of turning into robotaxis, capable of driving themselves cross-country, after one big software update.
That hasn’t happened yet.
What Tesla offers is a sophisticated, but only partially automated, driving system that’s marketed in the U.S. as its Full Self-Driving (Supervised) option, though many Tesla fans refer to it as FSD. In China, Tesla recently changed the system’s name to “intelligent assisted driving.”
Full Self-Driving, as it was previously called, relies on cameras and software to enable features like automatic navigation on highways and city streets, or automatic braking and slowing in response to traffic lights and stop signs.
Tesla owner’s manuals warn users that FSD “is a hands-on feature” that requires them to pay attention to the road at all times. “Keep your hands on the steering wheel at all times, be mindful of road conditions and surrounding traffic,” the manuals say.
But many of Tesla’s customers ignore the fine print and use the system hands-free anyway.
Tesla’s partially automated driving systems have been a source of inspiration for its stalwart fans. But they’ve also caused controversy and concern for public safety after reports of injurious and fatal collisions where Tesla’s standard Autopilot or premium FSD systems were known to be in use.
FSD does a lot of things “amazingly well,” said Guy Mangiamele, a professional test driver for automotive consulting firm AMCI Testing, during a recent long drive in Los Angeles. But he added that “the times that it trips up, you could kill somebody or you could hurt yourself.”
The pressure has never been higher on Tesla to elevate the technology and deliver on Musk’s long-delayed promises.
The Tesla CEO is the wealthiest person in the world and was the biggest financial backer of President Donald Trump’s 2024 campaign. Since Trump’s January inauguration, Musk has been leading the administration’s Department of Government Efficiency effort to drastically slash the federal workforce and government spending.
The DOGE team has been connected to more than 280,000 layoff plans for federal workers and contractors impacting 27 agencies over the last two months, according to data tracked by Challenger Gray, the executive outplacement firm.
Musk’s work with DOGE – along with his frequently incendiary political rhetoric and endorsement of Germany’s far-right, anti-immigrant party AfD – has led to a tremendous backlash against Tesla.
Protests, boycotts and even criminal acts of vandalism have targeted the electric vehicle maker in recent months and led many prospective Tesla customers to turn to other brands. Meanwhile, existing Tesla owners have been trading in their EVs at record levels, according to data from Edmunds.
Tesla’s stock dropped 36% through the first three months of 2025, representing its steepest decline since 2022 and third-biggest slide for any quarter since the EV maker went public in June 2010. Tesla also reported 336,681 vehicle deliveries in the first quarter of 2025, a 13% decline from the same period a year ago.
Product unveilings and a “robotaxi launch” expected from Tesla in Austin, Texas, this year could revitalize investors’ sentiment about the company and hopefully lift its share price, Piper Sandler analysts wrote in a note following the worse-than-expected deliveries report.
On Tesla’s last earnings call, Musk promised investors that Tesla will finally start its driverless ride-hailing service in Austin in June.
To see whether the company’s FSD technology is anywhere close to a robotaxi-ready release, CNBC spent months riding along with Tesla owners who use Full Self-Driving (Supervised) and speaking with automotive safety experts about their impressions.
Auto-tech enthusiast and Tesla owner Chris Lee, host of the YouTube channel EverydayChris, told CNBC that Tesla’s system “definitely has a ways to go, but the fact that it’s able to go from where it was three years ago to today, is insane.”
Many experts, including Telemetry Vice President of Market Research Sam Abuelsamid, remain skeptical. There’s been “no evidence” that FSD is “anywhere close to being ready to be used in an unsupervised form” by June, said Abuelsamid, whose firms specializes in automotive intelligence.
Tesla FSD will “often work really well, particularly in daytime conditions” but then “randomly, in a scenario where it did fine previously, it will fail,” said Abuelsamid, adding that those scenarios can be unpredictable and dangerous.
Watch the video to learn more about the evolution of Tesla’s Full Self-Driving (Supervised) and whether it will be robotaxi-ready this June.
Microsoft owns lots of Nvidia graphics processing units, but it isn’t using them to develop state-of-the-art artificial intelligence models.
There are good reasons for that position, Mustafa Suleyman, the company’s CEO of AI, told CNBC’s Steve Kovach in an interview on Friday. Waiting to build models that are “three or six months behind” offers several advantages, including lower costs and the ability to concentrate on specific use cases, Suleyman said.
It’s “cheaper to give a specific answer once you’ve waited for the first three or six months for the frontier to go first. We call that off-frontier,” he said. “That’s actually our strategy, is to really play a very tight second, given the capital-intensiveness of these models.”
Suleyman made a name for himself as a co-founder of DeepMind, the AI lab that Google bought in 2014, reportedly for $400 million to $650 million. Suleyman arrived at Microsoft last year alongside other employees of the startup Inflection, where he had been CEO.
More than ever, Microsoft counts on relationships with other companies to grow.
It gets AI models from San Francisco startup OpenAI and supplemental computing power from newly public CoreWeave in New Jersey. Microsoft has repeatedly enriched Bing, Windows and other products with OpenAI’s latest systems for writing human-like language and generating images.
Microsoft’s Copilot will gain “memory” to retain key facts about people who repeatedly use the assistant, Suleyman said Friday at an event in Microsoft’s Redmond, Washington, headquarters to commemorate the company’s 50th birthday. That feature came first to OpenAI’s ChatGPT, which has 500 million weekly users.
Through ChatGPT, people can access top-flight large language models such as the o1 reasoning model that takes time before spitting out an answer. OpenAI introduced that capability in September — only weeks later did Microsoft bring a similar capability called Think Deeper to Copilot.
Microsoft occasionally releases open-source small-language models that can run on PCs. They don’t require powerful server GPUs, making them different from OpenAI’s o1.
OpenAI and Microsoft have held a tight relationship shortly after the startup launched its ChatGPT chatbot in late 2022, effectively kicking off the generative AI race. In total, Microsoft has invested $13.75 billion in the startup, but more recently, fissures in the relationship between the two companies have begun to show.
Microsoft added OpenAI to its list of competitors in July 2024, and OpenAI in January announced that it was working with rival cloud provider Oracle on the $500 billion Stargate project. That came after years of OpenAI exclusively relying on Microsoft’s Azure cloud. Despite OpenAI partnering with Oracle, Microsoft in a blog post announced that the startup had “recently made a new, large Azure commitment.”
“Look, it’s absolutely mission-critical that long-term, we are able to do AI self-sufficiently at Microsoft,” Suleyman said. “At the same time, I think about these things over five and 10 year periods. You know, until 2030 at least, we are deeply partnered with OpenAI, who have [had an] enormously successful relationship for us.
Microsoft is focused on building its own AI internally, but the company is not pushing itself to build the most cutting-edge models, Suleyman said.
“We have an incredibly strong AI team, huge amounts of compute, and it’s very important to us that, you know, maybe we don’t develop the absolute frontier, the best model in the world first,” he said. “That’s very, very expensive to do and unnecessary to cause that duplication.”