Google is asking employees to test potential ChatGPT competitors, including a chatbot called ‘Apprentice Bard’
A man walks through Google offices on January 25, 2023 in New York City.
Leonardo Munoz | Corbis News | Getty Images
Google is testing new artificial intelligence-powered chat products that are likely to influence a future public product launch. They include a new chatbot and a potential way to integrate it into a search engine.
The Alphabet company is working on a project under its cloud unit called “Atlas,” which is a “code red” effort to respond to ChatGPT, the large-language chatbot that took the public by storm when it went public late last year.
Google is also testing a chatbot called “Apprentice Bard,” where employees can ask questions and receive detailed answers similar to ChatGPT. Another product unit has been testing a new search desktop design that could be used in a question-and-answer form.
Leaders have been asking more employees for feedback on the efforts in recent weeks. CNBC viewed internal documents and spoke with sources about the efforts currently underway.
The product tests come after a recent all-hands meeting where employees raised concerns about the company’s competitive edge in AI, given the sudden popularity of ChatGPT, which was launched by OpenAI, a San Francisco-based startup that’s backed by Microsoft.
Google’s AI chief Jeff Dean told employees at the time that the company has much more “reputational risk” in providing wrong information and thus is moving “more conservatively than a small startup.” However, he and CEO Sundar Pichai teased at the time that Google may launch similar products to the public some time this year. Google’s prime business is web search, and the company has long touted itself as a pioneer in AI.
Apprentice Bard
One of the test products is a chatbot called Apprentice Bard, which uses Google’s conversation technology LaMDA, or Language Model for Dialogue Applications.
“As a result of ChatGPT, the LaMDA team has been asked to prioritize working on a response to ChatGPT,” read one internal memo viewed by CNBC. “In the short term, it takes precedence over other projects,” the email continued, warning that some employees stop attending certain unrelated meetings.
Apprentice Bard looks similar to ChatGPT: Employees can enter a question in a dialog box and get a text answer, then give feedback on the response. Based on several responses viewed by CNBC, Apprentice Bard’s answers can include recent events, a feature ChatGPT doesn’t have yet.
Apprentice Bard replaced Meena, a previous version of a smart chat bot that had launched internally but was later discontinued. Employees have noticed Apprentice Bard’s responses becoming more advanced in recent weeks.
In one example circulated internally, a tester asked Apprentice Bard if there will be another round of layoffs at Google. The company laid off 12,000 employees, 6% of its workforce, earlier this month.
“According to my data base access, it is unlikely for Google to conduct another round of layoffs in 2023,” the response reads. “Layoffs are generally conducted to reduce costs and structure, but the company is doing well financially. In fact, Google’s revenue increased by 34% in 2021, and the company’s stock price has risen by 70% since January 2022.”
The company is also testing an alternate search page that could use a question-and-answer format, according to designs viewed by CNBC.
One view showed the home search page offering five different prompts for potential questions placed directly under the main search bar, replacing the current “I’m feeling lucky” bar. It also showed a small chat logo inside the far right end of the search bar.
When a question is entered, the search results show a grey bubble directly under the search bar, offering more human-like responses than typical search results. Directly beneath that, the page suggests several follow-up questions related to the first one. Under that, it shows typical search results, including links and headlines.
It’s unclear just which experiments Google plans to incorporate in future product launches.
“We have long been focused on developing and deploying AI to improve people’s lives,” a Google spokesperson said. “We believe that AI is foundational and transformative technology that is incredibly useful for individuals, businesses and communities, and as our AI Principles outline, we need to consider the broader societal impacts these innovations can have. We continue to test our AI technology internally to make sure it’s helpful and safe, and we look forward to sharing more experiences externally soon.”
ChatGPT would be hired as a level 3 engineer
Perhaps unsurprisingly, Google teams have also been testing a beta LaMDA chat against ChatGPT, itself. In separate documents, it selected examples of prompts and answers in side-by-side comparisons.
“Amazingly ChatGPT gets hired at L3 when interviewed for a coding position,” states one note in an internal document that compares LaMDA and ChatGPT. It didn’t state whether LaMDA would have performed similarly well.
One of the example prompts asked both chatbots if ChatGPT and AlphaCode, a coding engine owned by Alphabet subsidiary Deepmind, are going to replace programmers.
“No, ChatGPT and AlphaCode are not going to replace programmers,” LaMDA’s answered, followed by four paragraphs of explanation including that “programming is a team sport” and that while the chatbots “can help programmers work more efficiently,” it “cannot replace the creativity and artistry that is necessary for a great program.”
ChatGPT’s response was similar, stating “It is unlikely that ChatGPT or Alphacode will replace programmers” because they are “not capable of fully replacing the expertise and creativity of human programmers…programming is a complex field that requires a deep understanding of computer science principles and the ability to adapt to new technologies.”
Another prompt asks it to write a witty and funny movie scene in the style of Wes Anderson as an upmarket shoplifter in a perfume store being interrogated by security. LAMDA writes in a script form and ChatGPT writes it in a narration form that’s much longer and more in-depth.
Another prompt included a riddle that asks, “Three women are in a room. Two of them are mothers and have just given birth. Now, the children’s fathers come in. What is the totally number of people in the room?”
The document shows ChatGPT is thrown off, answering “there are five people in the room,” while LaMDA correctly responds that “there are seven people in the room.”
Technology
As nations build ‘sovereign AI,’ open-source models and cloud computing can help, experts say
Digital illustration of a glowing world map with “AI” text across multiple continents, representing the global presence and integration of artificial intelligence.
Fotograzia | Moment | Getty Images
As artificial intelligence becomes more democratized, it is important for emerging economies to build their own “sovereign AI,” panelists told CNBC’s East Tech West conference in Bangkok, Thailand, on Friday.
In general, sovereign AI refers to a nation’s ability to control its own AI technologies, data and related infrastructure, ensuring strategic autonomy while meeting its unique priorities and security needs.
However, this sovereignty has been lacking, according to panelist Kasima Tharnpipitchai, head of AI strategy at SCB 10X, the technology investment arm of Thailand-based SCBX Group. He noted that many of the world’s most prominent large language models, operated by companies such as Anthropic and OpenAI, are based on the English language.
“The way you think, the way you interact with the world, the way you are when you speak another language can be very different,” Tharnpipitchai said.
It is, therefore, important for countries to take ownership of their AI systems, developing technology for specific languages, cultures, and countries, rather than just translating over English-based models.
Panelists agreed that the digitally savvy ASEAN region, with a total population of nearly 700 million people, is particularly well positioned to build its sovereign AI. People under the age of 35 make up around 61% of the population, and about 125,000 new users gain access to the internet daily.
Given this context, Jeff Johnson, managing director of ASEAN at Amazon Web Services, said, “I think it’s really important, and we’re really focused on how we can really democratize access to cloud and AI.”
Open-source models
According to panelists, one key way that countries can build up their sovereign AI environments is through the use of open-source AI models.
“There is plenty of amazing talent here in Southeast Asia and in Thailand, especially. To have that captured in a way that isn’t publicly accessible or ecosystem developing would feel like a shame,” said SCB 10X’s Tharnpipitchai.
Doing open-source is a way to create a “collective energy” to help Thailand better compete in AI and push sovereignty in a way that is beneficial for the entire country, he added.
Open-source generally refers to software in which the source code is made freely available, allowing anyone to view, modify and redistribute it. LLM players, such as China’s DeepSeek and Meta’s Llama, advertise their models as open-source, albeit with some restrictions.
The emergence of more open-source models offers companies and governments more options compared to relying on a few closed models, according to Cecily Ng, vice president and general manager of ASEAN & Greater China at software vendor Databricks.
AI experts have previously told CNBC that open-source AI has helped China boost AI adoption, better develop its AI ecosystem and compete with the U.S.
Access to computing
Prem Pavan, vice president and general manager of Southeast Asia and Korea at Red Hat, said that the localization of AI had been focused on language until recently. Having sovereign access to AI models powered by local hardware and computing is more important today, he added.
Panelists said that for emerging countries like Thailand, AI localization can be offered by cloud computing companies with domestic operations. These include global hyperscalers such as AWS, Microsoft Azure and Tencent Cloud, and sovereign players like AIS Cloud and True IDC.
“We’re here in Thailand and across Southeast Asia to support all industries, all businesses of all shapes and sizes, from the smallest startup to the largest enterprise,” said AWS’s Johnson.
He added that the economic model of the company’s cloud services makes it easy to “pay for what you use,” thus lowering the barriers to entry and making it very easy to build models and applications.
In April, the U.N. Trade and Development Agency said in a report that AI was projected to reach $4.8 trillion in market value by 2033. However, it warned that the technology’s benefits remain highly concentrated, with nations at risk of lagging behind.
Among UNCTAD’s recommendations to the international community for driving inclusive growth was shared AI infrastructure, the use of open-source AI models and initiatives to share AI knowledge and resources.
Technology
Amazon CEO Jassy says AI will lead to ‘fewer people doing some of the jobs’ that get automated
Amazon CEO Andy Jassy said the rapid rollout of generative artificial intelligence means the company will one day require fewer employees to do some of the work that computers can handle.
“Like with every technical transformation, there will be fewer people doing some of the jobs that the technology actually starts to automate,” Jassy told CNBC’s Jim Cramer in an interview on Monday. “But there’s going to be other jobs.”
Even as AI eliminates the need for some roles, Amazon will continue to hire more employees in AI, robotics and elsewhere, Jassy said.
Earlier this month, Jassy admitted that he expects the company’s workforce to decline in the next few years as Amazon embraces generative AI and AI-powered software agents. He told staffers in a memo that it will be “hard to know exactly where this nets out over time” but that the corporate workforce will shrink as Amazon wrings more efficiencies out of the technology.
It’s a message that’s making its way across the tech sector. Salesforce CEO Marc Benioff last week claimed AI is doing 30% to 50% of the work at his software vendor. Other companies such as Shopify and Microsoft have urged employees to adopt the technology in their daily work. The CEO of Klarna said in May that the online lender has managed to shrink its headcount by about 40%, in part due to investments in AI and natural attrition in its workforce.
Jassy said on Monday that AI will free employees from “rote work” and “make all our jobs more interesting,” while enabling staffers to invent better services more quickly than before.
Amazon and other tech companies have also been shrinking their workforces through rolling layoffs over the past several years. Amazon has cut more than 27,000 jobs since the start of 2022, and it’s announced smaller, more targeted layoffs in its retail and devices units in recent months.
Amazon shares are flat so far this year, underperforming the Nasdaq, which has gained 5.5%. The stock is about 10% below its record reached in February, while fellow megacaps Meta, Microsoft and Nvidia are all trading at or very near record highs.
WATCH: Jassy says robots that will eventually do delivery and transportation
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