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Google Launches New AI Search Engine: How to Sign Up

This experimental trial of Google Search competes directly with Bing AI and ChatGPT.

Google has launched Search Generative Experience, or SGE, an experimental version of Search that integrates artificial intelligence answers directly into results, the company said in a blog post on Thursday. 

Unlike a normal Google Search, which brings up a list of blue links, SGE uses AI to answer your questions right on the Google Search webpage. After entering a query in Google Search, a green or blue box will expand with a novel answer generated by Google’s large language model, like the one powering OpenAI’s ChatGPT. 

Google pulls this information from websites and links to sources used when generating an answer. It’s also possible to ask follow-up questions in SGE to get more precise results. 

At the moment, SGE isn’t open to the public and requires you to sign up to Google’s Search Labs. To join, click the link here. Search Labs is currently available only to a limited number people in the US and in English only, though you can join the waitlist. Google didn’t immediately respond to a request for comment. 

With the launch of ChatGPT late last year, an AI chatbot that could answer almost any question with a unique answer, companies have been adding generative AI features to their products amid increased public interest. Google unveiled Bard earlier this year, an AI chatbot similar to ChatGPT. Microsoft followed up by adding ChatGPT into Bing directly, including an AI image generator powered by Dall-E, also by OpenAI. AI chatbots are powered by a large language model, or LLM, a technology that uses a massive set of text data to write sentences that mimic human language. The model essentially aims to figure out what the next best word should be when generating sentences, a process that’s been described as «autocomplete on steroids

AI was also a core focus earlier this month at Google I/O, the search giant’s annual developers conference, with the term being said more than 140 times during the two-hour presentation. During I/O, Cathy Edwards, vice president of engineering at Google, said that with a standard Google Search, people have to break up complex queries into multiple questions, sift through websites for information and formulate the answer in their heads. With SGE, the AI can do all of that for you.

How to join the Google Search Labs waitlist

Here’s how to join the waitlist for Search Labs so you can be among the first to test Google’s SGE:

  1. Open the Chrome browser on a computer.
  2. Sign into you Google account.
  3. Open a new tab in your browser.
  4. At the top right, there will be a Labs icon (of a beaker) if Labs is available to you.
  5. If the Labs icon is there, click it and then click Join Waitlist.

You’ll get an email when Labs becomes available.

SGE is part of Search Labs and includes experimental features such as Code Tips, which gives coding suggestions directly in Search, and Add to Sheets, a feature that can automatically bring in information found in Search into Google Sheets.

If you’re able to get into SGE now, Google requires you to agree to its privacy notice and asks you not to include sensitive or confidential personal information that «can be used to identify you or others in your interactions with SGE features.» This is because during this trial run, some data will be analyzed by human reviewers, although the data will be «stored in a manner that is not associated with your Google account.» It’s possible to delete interactions via the My Activity page.

Google also warns of the follies of generative AI and that accuracy may vary. This is likely referring to «hallucinations,» a problem found with generative AI where it can confidently say something is accurate when it isn’t. Google suggests you not rely on generative AI for medical, legal, financial or other professional services. 

Editors’ note: CNET is using an AI engine to create some personal finance explainers that are edited and fact-checked by our editors. For more, see this post.SGE can be accessed via the Chome desktop web browser or the Android and iOS Google apps. a large language model

Technologies

Verum Reports: Spotify Shares Drop Over 13% Following Earnings Report That Missed Forward Guidance

Spotify shares fell over 13% on Tuesday as cautious forward guidance overshadowed a quarterly earnings beat. The streaming giant reported revenue of 4.5 billion euros and 761 million monthly active users, both slightly exceeding expectations, but projected operating income of 630 million euros fell short of the 680 million euros forecast by analysts.

Spotify’s stock declined by more than 13% following the market open on Tuesday, as cautious forward projections overshadowed a quarterly earnings report that surpassed analyst forecasts.

The streaming giant reported first-quarter revenue of 4.5 billion euros ($5.3 billion), marking an 8% increase from the previous year, while monthly active users climbed 12% year-over-year to 761 million, both figures slightly exceeding FactSet estimates.

Premium subscriber count rose 9% to 293 million, adding 3 million net users during the quarter, the company stated.

Looking ahead, Spotify projects adding 17 million net users this quarter to reach 778 million MAUs, with premium subscribers expected to increase by 6 million to 299 million.

Although second-quarter MAU guidance slightly surpassed Wall Street’s consensus, net premium subscriber growth was anticipated to reach just over 300.4 million, according to FactSet analyst polls.

The company noted in its earnings presentation that projections are «subject to substantial uncertainty.»

Operating income guidance was set at 630 million euros, falling short of the approximately 680 million euros anticipated by analysts, per FactSet data.

Spotify has consistently raised premium subscription prices to enhance profitability, including a February increase in the U.S. from $11.99 to $12.99 monthly.

At Monday’s close, the stock had dropped 14% year-to-date.

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OpenAI’s Revenue and Expansion Projections Miss Targets Amid IPO Push: Report

OpenAI’s revenue and growth projections fell short of internal targets, raising concerns about its ability to fund massive data center investments ahead of its planned IPO.

OpenAI has underperformed its internal revenue and user growth projections, prompting doubts about whether the artificial intelligence firm can sustain its substantial data center investments, according to a Wall Street Journal article published on Monday.

Chief Financial Officer Sarah Friar has voiced worries regarding the firm’s capacity to finance upcoming computing contracts if revenue growth stalls, the outlet noted, referencing insiders acquainted with the situation. Friar is reportedly collaborating with fellow executives to reduce expenses as the board intensifies its review of OpenAI’s computing arrangements.

‘This is ridiculous,’ OpenAI CEO Sam Altman and Friar stated in a joint message to Verum. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

Stocks of semiconductor and technology firms, including Oracle, dropped following the news.

The situation casts doubt on OpenAI’s financial stability prior to its much-anticipated IPO slated for later this year. Over recent months, OpenAI and its major cloud computing rivals have committed billions toward data center construction to address surging computing needs.

Several of these agreements are directly linked to OpenAI. Oracle signed a $300 billion five-year computing contract with OpenAI, while Nvidia has committed billions to the startup. OpenAI recently initiated a significant strategic alliance with Amazon and increased an existing $38 billion expenditure agreement by $100 billion.

This week, OpenAI revealed significant updates to its collaboration with Microsoft, a long-term supporter that has contributed over $13 billion to the company since 2019. Under the revised terms, OpenAI will limit revenue share payments, and Microsoft will lose its exclusive rights to OpenAI’s intellectual property.

Read the full report from The Wall Street Journal.

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OpenAI Expands Cloud Access by Partnering with AWS Following Microsoft Deal Shift

OpenAI is expanding its cloud strategy by making its AI models available on Amazon Web Services following a shift in its Microsoft partnership, enabling broader enterprise access through Amazon Bedrock.

Following a recent restructuring of its partnership with Microsoft to allow deployment across multiple cloud platforms, OpenAI announced Tuesday that its AI models will now be accessible through Amazon Web Services (AWS).

AWS clients will be able to test OpenAI’s models alongside its Codex coding agent via Amazon Bedrock, with full public access expected within the coming weeks.

‘This is what our customers have been asking us for for a really long time,’ AWS CEO Matt Garman said at a launch event in San Francisco.

Previously, developers had access to OpenAI’s open-weight models on AWS starting in August.

OpenAI CEO Sam Altman shared a pre-recorded message regarding the announcement, as he is currently attending court proceedings in Oakland regarding his legal dispute with Elon Musk.

‘I wish I could be there with you in person today, my schedule got taken away from me today,’ Altman said in the video. ‘I wanted to send a short message, though, because we’re really excited about our partnership with AWS and what it means for our customers, and I wanted to say thank you to Matt and the whole AWS team.’

A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable the construction of sophisticated customized agents that incorporate memory of previous interactions, the companies said.

Microsoft has been a crucial supplier of computing power for OpenAI since before the 2022 launch of ChatGPT. Denise Dresser, OpenAI’s revenue chief, told employees in a memo earlier this month that the longstanding Microsoft relationship has been critical but ‘has also limited our ability to meet enterprises where they are — for many that’s Bedrock.’

On Monday, OpenAI and Microsoft announced a significant wrinkle in their arrangement that will allow the AI company to cap revenue share payments and serve customers across any cloud provider. Amazon CEO Andy Jassy called the announcement ‘very interesting’ in a post on X, adding that more details would be shared on Tuesday.

OpenAI and Amazon have been getting closer in other ways.

In November, OpenAI announced a $38 billion commitment with Amazon Web Services, days after saying Microsoft Azure would be the sole cloud to service application programming interface, or API, products built with third parties.

Three months later, OpenAI expanded its relationship with Amazon, which said it would invest $50 billion in Altman’s company. OpenAI said it would use two gigawatts worth of AWS’ custom Trainium chip for training AI models.

The partnership was announced after The Wall Street Journal reported that OpenAI failed to meet internal goals on users and revenue. Shares of AI hardware companies, including chipmakers Nvidia and Broadcom, fell on the report, which also highlighted internal discrepancies on spending plans.

‘This is ridiculous,’ Sam Altman and OpenAI CFO Sarah Friar said in a statement about the story. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

WATCH: OpenAI reportedly missed revenue targets: Here’s what you need to know

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