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Google CEO Sundar Pichai Says Search to Feature Chat AI
‘More work left to do’ in efficiency drive, chief executive says
April 07, 2023
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Google plans to add conversational artificial-intelligence features to its flagship search engine, Chief Executive Officer Sundar Pichai said, as he steers the tech company’s response to competition from chatbots such as ChatGPT and to wider business pressures.
 
Advances in AI would supercharge Google’s ability to answer an array of search queries, Mr. Pichai said in an interview with The Wall Street Journal. He dismissed the notion that chatbots posed a threat to Google’s search business, which accounts for more than half of revenue at parent Alphabet Inc.
 
“The opportunity space, if anything, is bigger than before,” Mr. Pichai, who also heads Alphabet, said in the interview Tuesday. 
 
Google has long been a leader in developing computer programs called large language models, or LLMs, which can process and respond to natural-language prompts with humanlike prose. But it hasn’t yet used the technology to influence the way people use search—something Mr. Pichai said would change
 
“Will people be able to ask questions to Google and engage with LLMs in the context of search? Absolutely,” Mr. Pichai said.
 
With Microsoft Corp. already deploying the technology behind the ChatGPT system in its Bing search engine, Mr. Pichai is dealing with one of the biggest threats to Google’s core business in years as he also faces investor pressure to cut costs. In January, Alphabet said it would eliminate about 12,000 jobs, or 6% of staff, its largest layoffs to date. Inflation and recession concerns have spurred other tech companies to cut back.
 
Mr. Pichai said Google hasn’t yet achieved a goal of becoming 20% more productivea target he set in September. He said the company was comfortable with its pace of change, though he wouldn’t directly address the prospects of another round of layoffs.
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Last week Google Chief Financial Officer Ruth Porat told employees to expect more spending cuts in areas ranging from dining facilities to the company’s computing infrastructure, which is critical for developing and running powerful AI algorithms.
 
“We are definitely being focused on creating durable savings,” Mr. Pichai said. “We are pleased with the progress, but there is more work left to do.”
 
Google has pushed forward with its AI efforts despite the cost cutsaccelerating work on new products following the breakout success of ChatGPT.
 
Google has for years used AI systems to better understand complex queries, but the public release of ChatGPT in November by the Microsoft-backed startup OpenAI has sparked a race to integrate the technology into consumer products. Microsoft CEO Satya Nadella has taken direct aim at Google’s dominant search engine, telling the Journal in February that “a new race is starting with a completely new platform technology.”
 
That month Microsoft infused the technology behind ChatGPT into its search engine Bing, long a distant laggard to Google search. The move allowed users to engage in extended conversations with the product. Microsoft said it expected to generate $2 billion in revenue for every percentage point it gained in the search market, of which Google has a more than 90% share.
 
Mr. Pichai’s latest comments indicate that Google plans to allow users to interact directly with the company’s large language models through its search engine. That move could upend the traditional link-based experience that has been the norm for more than two decades.
 
Google is testing several new search products, such as versions that allow users to ask follow-up questions to their original queries, Mr. Pichai said. The company said last month that it would begin “thoughtfully integrating LLMs into search in a deeper way,” but until now hadn’t detailed plans to offer conversational features.
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Google has begun testing new AI features within Gmail and other work-related products, while Microsoft has moved to offer AI beyond Bing for use in some of its business software tools.
 
The stakes in the AI race in search are particularly high for Mr. Pichai. Search ads remain the biggest moneymaker for Google, bringing in $162 billion of revenue last year. 
 
Google at times had been cautious about moving too fast with the technology, wary of radically altering the way users interact with its search engine. Researchers have raised concerns about the accuracy of AI-powered chatbots. 
 
When Google in March opened public access to Bard, its AI-based chatbot, the company didn’t integrate it into its search engine, instead offering it through a wait list at a stand-alone site. A virtual button at the bottom of the product redirected users to Google’s search engine for additional information.
 
“It has been incredible to see user excitement around adoption of these technologies, and some of that is a pleasant surprise as well,” Mr. Pichai said. 
 
When asked why the company didn’t release a chatbot earlier, Mr. Pichai said Google was still trying to find the right market. “We were iterating to ship something, and maybe timelines changed, given the moment in the industry,” he said.
 
 
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New Human Force
Join this Now! YOU have what it takes!

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

This is the cycle of the great onboarding. The distinction between "Web2" and "Web3" is rapidly becoming obsolete. When government data, institutional flows, and grassroots builders all operate on the same decentralized rails, we are simply talking about the internet—a new iteration, yes, but the internet nonetheless: an immutable internet where data is not only published but also verified and distributed in real-time.

Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

This is not merely a fleeting trend; it's a crowning moment in global adoption. The U.S. government has just validated what many in the Web3 space have been building towards for years: that Web3 is not a sideshow, but a foundational layer for the future. The current cycle will be remembered as the moment the world definitively crossed this threshold, marking the last great opportunity to truly say, "we were early."

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

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🔗 Crypto
XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

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