Why tech insiders are so excited about ChatGPT, a chatbot that answers questions and writes essays
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.
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 Birhane shared 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.
WATCH: Silicon Valley’s betting big generative-AI companies-here’s why
Apple CEO Tim Cook (C) joins customers during Apple’s iPhone 16 launch in New York on September 20, 2024.
Timothy A. Clary | Afp | Getty Images
Apple’s second-largest division after the iPhone has turned into a $100 billion a year business that Wall Street loves.
In Apple’s earnings report on Thursday, the company said it reached just under $25 billion in services revenue, an all-time high for the category, and 12% growth on an annual basis.
“It’s an important milestone,” Apple CFO Luca Maestri said on a call with analysts. “We’ve got to a run rate of $100 billion. You look back just a few years ago and the the growth has been phenomenal.”
Apple first broke out its services revenue in the December quarter of 2014. At the time, it was $4.8 billion.
Apple’s services unit has become a critical part of Apple’s appeal to investors over the past decade. Its gross margin was 74% in the September quarter compared to Apple’s overall margin of 46.2%.
Services contains a wide range of different offerings. According to the company’s SEC filings, it includes advertising, search licensing revenue from Google, warranties called AppleCare, cloud subscription services such as iCloud, content subscriptions such as the company’s Apple TV+ service, and payments from Apple Pay and AppleCare.
On a January 2016 earnings call, when the reporting segment was relatively new, Apple CEO Tim Cook told investors to pay attention.
“I do think that the assets that we have in this area are huge, and I do think that it’s probably something that the investment community would want to and should focus more on,” Cook said.
Over the years, Apple has compared its services business to the size of Fortune 500 companies, which are ranked by sales, to give a sense of its scale. After Thursday, Apple’s services business alone, based on its most recent run rate, would land around 40th on the Fortune 500, topping Morgan Stanley and Johnson & Johnson.
Services appeals to investors because many of the subscriptions contained in it are billed on a recurring basis. That can be more reliably modeled than hardware sales, which will increase or decrease based on a given iPhone model’s demand.
“Yes, the the recurring portion is growing faster than the transactional one,” Maestri said on Thursday.
Apple’s fourth-quarter results beat Wall Street expectations for revenue and earnings on Thursday, but net income slumped after a one-time charge as part of a tax decision in Europe. The stock fell as much as 2% in extended trading.
Apple boasts to investors that its sales from Services will grow alongside its installed base. After someone buys an iPhone, they’re likely to sign up for Apple’s subscriptions, use Safari to search Google, or buy an extended warranty.
Apple also cites a “subscription” figure that includes both its first-party services, such as Apple TV+ subscriptions, and users who sign up to be billed by an App Store app on a recurring basis.
The company said the installed base and subscriptions hit all-time-highs, but didn’t give updated figures. Apple said it had 2.2 billion active devices in February, and in August said it had topped 1 billion paid subscriptions.
Still, Apple faces questions about how long its services business can continue growing at such a rapid rate. Between 2016 and 2021, the unit sported significantly higher growth, reaching 27.3% at the end of that stretch.
In fiscal 2023, services growth dropped to 9.1% for the year, before recovering to about 13% the next year. Apple told investors that it expected services growth in the December quarter to be about what it was in fiscal 2024.
Cook was asked on Thursday what Apple could do to make some of its services and its Apple One subscription bundle grow faster.
“There’s lots of customers to try to convince to take advantage of it,” Cook said. “We’re going to continue investing in the services and adding new features. Whether it’s News+ or Music or Arcade, that’s what we’re going to do.”
WATCH: Apple has a big leg up in AI
Amazon CEO, Andy Jassy speaking with CNBC’s Jim Cramer on Mad Money in Seattle, WA. on Dec. 6th, 2023.
CNBC
Amazon CEO Andy Jassy is trying to reassure investors who may be worried about the future payoff of the company’s massive investments in generative artificial intelligence.
On a conference call with analysts following the company’s third-quarter earnings report on Thursday, Jassy pointed to the success of Amazon’s cloud computing business, Amazon Web Services, which has become a crucial profit engine despite the extreme costs associated with building data centers.
“I think we’ve proven over time that we can drive enough operating income and free cash flow to make this a very successful return on invested capital business,” Jassy said. “We expect the same thing will happen here with generative AI.”
Amazon spent $22.6 billion on property and equipment during the quarter, up 81% from the year before. Jassy said Amazon plans to spend $75 billion on capex in 2024 and expects an even higher number in 2025.
The jump in spending is primarily being driven by generative AI investments, Jassy said. The company is rushing to invest in data centers, networking gear and hardware to meet vast demand for the technology, which has exploded in popularity since OpenAI released its ChatGPT assistant almost two years ago.
“It is a really unusually large, maybe once-in-a-lifetime type of opportunity,” Jassy said. “And I think our customers, the business and our shareholders will feel good about this long term that we’re aggressively pursuing it.”
AI spending was a big topic on tech earnings calls this week. Meta on Wednesday raised its capital expenditures guidance, and CEO Mark Zuckerberg said he was “quite happy” with the team’s execution. Meanwhile, Microsoft‘s investment in OpenAI weighed on its fiscal first-quarter earnings released on Wednesday, and the company said capital spending would continue to rise. A day earlier, Alphabet CFO Anat Ashkenazi warned the company expects capital spending to grow in 2025.
Amazon has said its cloud unit has picked up more business from companies that need infrastructure to deploy generative AI models. It’s also launched several AI products for enterprises, third-party sellers on its marketplace and advertisers in recent months. The company is expected to announce a souped-up version of its Alexa voice assistant that incorporates generative AI, something Jassy said will arrive “in the near future.”
Amazon hasn’t disclosed its revenue from generative AI, but Jassy said Thursday it’s become a “multi-billion-dollar revenue run rate” business within AWS that “continues to grow at a triple-digit year-over-year percentage.”
“It’s growing more than three times faster at this stage of its evolution as AWS itself grew, and we felt like AWS grew pretty quickly,” he added.
Matt Garman, CEO of Amazon Web Services, speaks during The Wall Street Journal’s Tech Live conference in Laguna Beach, California, on Oct. 21, 2024.
Frederic J. Brown | AFP | Getty Images
Amazon said revenue in its cloud unit increased 19% in the third quarter, just missing analyst estimates.
Revenue at Amazon Web Services totaled $27.45 billion, according to a statement Thursday, while Wall Street was expecting $27.52 billion, based on StreetAccount estimates. Year-over-year growth has accelerated for five consecutive quarters.
The artificial intelligence portion of AWS is in the billions of dollars in annualized revenue, more than doubling year over year, Amazon CEO Andy Jassy, who previously led AWS, said on a call with analysts.
“I believe we have more demand than we could fulfill if we had even more capacity today,” Jassy said. “I think pretty much everyone today has less capacity than they have demand for, and it’s really primarily chips that are the area where companies could use more supply.”
AWS leads the cloud infrastructure market over Google and Microsoft and is an important source of profit for Amazon.
On Tuesday, Google parent Alphabet said revenue from Google Cloud, which includes cloud applications as well as infrastructure, totaled $11.35 billion, up 35%. Microsoft said Wednesday that revenue from Azure and other cloud services grew 33%.
AWS recorded $10.45 billion in operating income, representing 60% of its parent’s profit. Analysts expected $9.15 billion.
The unit’s operating margin came in at 38%, the widest for AWS since at least 2014. Google Cloud reported an operating margin of 17%.
“We’re being very measured in our hiring,” Brian Olsavsky, Amazon’s finance chief, said on the call.
During the quarter, Oracle said it will bring database services to AWS.
“If this is successful, we would love to find more pieces of their application stack that could run well in AWS and help customers do that,” AWS CEO Matt Garman told CNBC in a September interview.
Also in the quarter, AWS announced plans to discontinue some services, including code-repository tool CodeCommit. Garman told TechCrunch that AWS “can’t invest in everything.”
WATCH: Databricks drives more than $1 billion revenue on AWS, says Databricks’ Naveen Rao
-
Sports2 years ago‘Storybook stuff’: Inside the night Bryce Harper sent the Phillies to the World Series
-
Sports7 months agoStory injured on diving stop, exits Red Sox game
-
Sports2 years agoMLB Rank 2023: Ranking baseball’s top 100 players
-
Sports1 year agoGame 1 of WS least-watched in recorded history
-
Environment1 year agoJapan and South Korea have a lot at stake in a free and open South China Sea
-
Sports3 years ago
Team Europe easily wins 4th straight Laver Cup
-
Environment2 years agoGame-changing Lectric XPedition launched as affordable electric cargo bike
-
Business2 years agoBank of England’s extraordinary response to government policy is almost unthinkable | Ed Conway