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      Google Unveils A.I. for Predicting Behavior of Human Molecules

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      The system, AlphaFold3, could accelerate efforts to understand the human body and fight disease.Artificial intelligence is giving machines the power to generate videos, write computer code and even carry on a conversation.It is also accelerating efforts to understand the human body and fight disease.On Wednesday, Google DeepMind, the tech giant’s central artificial intelligence lab, and Isomorphic Labs, a sister company, unveiled a more powerful version of AlphaFold, an artificial intelligence technology that helps scientists understand the behavior of the microscopic mechanisms that drive the cells in the human body.An early version of AlphaFold, released in 2020, solved a puzzle that had bedeviled scientists for more than 50 years. It was called “the protein folding problem.”Proteins are the microscopic molecules that drive the behavior of all living things. These molecules begin as strings of chemical compounds before twisting and folding into three-dimensional shapes that define how they interact with other microscopic mechanisms in the body.Biologists spent years or even decades trying to pinpoint the shape of individual proteins. Then AlphaFold came along. When a scientist fed this technology a string of amino acids that make up a protein, it could predict the three-dimensional shape within minutes.When DeepMind publicly released AlphaFold a year later, biologists began using it to accelerate drug discovery. Researchers at the University of California, San Francisco, used the technology as they worked to understand the coronavirus and prepare for similar pandemics. Others used it as they struggled to find remedies for malaria and Parkinson’s disease.The hope is that this kind of technology will significantly streamline the creation of new drugs and vaccines.A segment of a video from Google DeepMind demonstrating the new AlphaFold3 technology.Video by Google Deepmind“It tells us a lot more about how the machines of the cell interact,” said John Jumper, a Google DeepMind researcher. “It tells us how this should work and what happens when we get sick.”The new version of AlphaFold — AlphaFold3 — extends the technology beyond protein folding. In addition to predicting the shapes of proteins, it can predict the behavior of other microscopic biological mechanisms, including DNA, where the body stores genetic information, and RNA, which transfers information from DNA to proteins.“Biology is a dynamic system. You need to understand the interactions between different molecules and structures,” said Demis Hassabis, Google DeepMind’s chief executive and the founder of Isomorphic Labs, which Google also owns. “This is a step in that direction.”Demis Hassabis, Google DeepMind’s chief executive and the founder of Isomorphic Labs.Taylor Hill/Getty ImagesThe company is offering a website where scientists can use AlphaFold3. Other labs, most notably one at the University of Washington, offer similar technology. In a paper released on Tuesday in the scientific journal Nature, Dr. Jumper and his fellow researchers show that it achieves a level of accuracy well beyond the state of the art.The technology could “save months of experimental work and enable research that was previously impossible,” said Deniz Kavi, a co-founder and the chief executive of Tamarind Bio, a start-up that builds technology for accelerating drug discovery. “This represents tremendous promise.” More

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      A New Diplomatic Strategy Emerges as Artificial Intelligence Grows

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      The new U.S. approach to cyberthreats comes as early optimism about a “global internet” connecting the world has been shattered.American and Chinese diplomats plan to meet later this month to begin what amounts to the first, tentative arms control talks over the use of artificial intelligence.A year in the making, the talks in Geneva are an attempt to find some common ground on how A.I. will be used and in which situations it could be banned — for example, in the command and control of each country’s nuclear arsenals.The fact that Beijing agreed to the discussion at all was something of a surprise, since it has refused any discussion of limiting the size of nuclear arsenals themselves.But for the Biden administration, the conversation represents the first serious foray into a new realm of diplomacy, which Secretary of State Antony J. Blinken spoke about on Monday in a speech in San Francisco at the RSA Conference, Silicon Valley’s annual convention on both the technology and the politics of securing cyberspace.The Biden administration’s strategy goes beyond the rules of managing cyberconflict and focuses on American efforts to assure control over physical technologies like undersea cables, which connect countries, companies and individual users to cloud services.Yuri Gripas for The New York Times“It’s true that ‘move fast and break things’ is literally the exact opposite of what we try to do at the State Department,” Mr. Blinken told the thousands of cyberexperts, coders and entrepreneurs, a reference to the Silicon Valley mantra about technological disruption.We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe. More

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      Why Beijing Stands to Gain from Elon Musk’s Visit

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      Tesla’s C.E.O. appears to have landed a deal that moves the company closer to bringing fully autonomous driving to a giant market. But Beijing is keen to exploit the visit for its own purposes.Elon Musk meeting with Premier Li Qiang, China’s second-highest official, on a weekend visit to Beijing that boosted Tesla stock.Wang Ye/Xinhua, via Associated PressWhy Elon Musk went to China Just days after Secretary of State Antony Blinken traveled to Beijing and warned China about unfair trade practices, Elon Musk landed in the Chinese capital. The Tesla boss’s meeting with China’s No. 2 official may have paid off: Musk reportedly cleared two obstacles to introducing a fully autonomous driving system in the world’s biggest car market.The split screen again reveals the gap between Western diplomacy and corporate imperatives. Tesla has to stay committed to China even as it faces big headwinds — a conundrum that other multinationals also face, and one that Beijing is eager to exploit.Musk is betting big on self-driving, and China is key. Tesla last week reported its worst quarter in two years as a price war hurts profit. Tesla shares have plummeted (though they’ve rebounded in recent days, and are up more than 8 percent in premarket trading) amid plans for big layoffs.Musk has tried to reassure the market by pushing ahead with a low-cost model. Fully autonomous driving is also crucial. Musk told analysts last week that if investors don’t believe Tesla would “solve” the technological challenge that is autonomous driving, “I think they should not be an investor in the company.”The carmaker faces challenges in its second biggest market. Heavily subsidized Chinese rivals are eating into sales, led by the Warren Buffett-backed BYD, which is vying with Tesla for the crown of world’s biggest E.V. maker.Teslas are banned from many Chinese government sites because of concern about what data the American company collects. President Biden’s move to declare Chinese E.V.s a security threat probably won’t have made it any easier for Tesla in China.We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe. More

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      A.I. Has a Measurement Problem

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      There’s a problem with leading artificial intelligence tools like ChatGPT, Gemini and Claude: We don’t really know how smart they are.That’s because, unlike companies that make cars or drugs or baby formula, A.I. companies aren’t required to submit their products for testing before releasing them to the public. There’s no Good Housekeeping seal for A.I. chatbots, and few independent groups are putting these tools through their paces in a rigorous way.Instead, we’re left to rely on the claims of A.I. companies, which often use vague, fuzzy phrases like “improved capabilities” to describe how their models differ from one version to the next. And while there are some standard tests given to A.I. models to assess how good they are at, say, math or logical reasoning, many experts have doubts about how reliable those tests really are.This might sound like a petty gripe. But I’ve become convinced that a lack of good measurement and evaluation for A.I. systems is a major problem.For starters, without reliable information about A.I. products, how are people supposed to know what to do with them?I can’t count the number of times I’ve been asked in the past year, by a friend or a colleague, which A.I. tool they should use for a certain task. Does ChatGPT or Gemini write better Python code? Is DALL-E 3 or Midjourney better at generating realistic images of people?We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe. More

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      The Worst Part of a Wall Street Career May Be Coming to an End

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      Artificial intelligence tools can replace much of Wall Street’s entry-level white-collar work, raising tough questions about the future of finance.Pulling all-nighters to assemble PowerPoint presentations. Punching numbers into Excel spreadsheets. Finessing the language on esoteric financial documents that may never be read by another soul.Such grunt work has long been a rite of passage in investment banking, an industry at the top of the corporate pyramid that lures thousands of young people every year with the promise of prestige and pay.Until now. Generative artificial intelligence — the technology upending many industries with its ability to produce and crunch new data — has landed on Wall Street. And investment banks, long inured to cultural change, are rapidly turning into Exhibit A on how the new technology could not only supplement but supplant entire ranks of workers.The jobs most immediately at risk are those performed by analysts at the bottom rung of the investment banking business, who put in endless hours to learn the building blocks of corporate finance, including the intricacies of mergers, public offerings and bond deals. Now, A.I. can do much of that work speedily and with considerably less whining.“The structure of these jobs has remained largely unchanged at least for a decade,” said Julia Dhar, head of BCG’s Behavioral Science Lab and a consultant to major banks experimenting with A.I. The inevitable question, as she put it, is “do you need fewer analysts?”The inevitable question, according to Julia Dhar, head of BCG’s Behavioral Science Lab, is “do you need fewer analysts?”John Lamparski/Getty Images for Concordia SummitWe are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe. More

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      Will A.I. Boost Productivity? Companies Sure Hope So.

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      Wendy’s ordering kiosks. Ben & Jerry’s grocery store freezers. Abercrombie & Fitch’s marketing. Many mainstays of the American customer experience are increasingly powered by artificial intelligence.The question is whether the technology will actually make companies more efficient.Rapid productivity improvement is the dream for both companies and economic policymakers. If output per hour holds steady, firms must either sacrifice profits or raise prices to pay for wage increases or investment projects. But when firms figure out how to produce more per working hour, it means that they can maintain or expand profits even as they pay or invest more. Economies experiencing productivity booms can experience rapid wage gains and quick growth without as much risk of rapid inflation.But many economists and officials seem dubious that A.I. — especially generative A.I., which is still in its infancy — has spread enough to show up in productivity data already.Jerome H. Powell, the Federal Reserve chair, recently suggested that A.I. “may” have the potential to increase productivity growth, “but probably not in the short run.” John C. Williams, president of the New York Fed, has made similar remarks, specifically citing the work of the Northwestern University economist Robert Gordon.Mr. Gordon has argued that new technologies in recent years, while important, have probably not been transformative enough to give a lasting lift to productivity growth.“The enthusiasm about large language models and ChatGPT has gone a bit overboard,” he said in an interview.We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe. More

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      How One Tech Skeptic Decided AI Might Benefit the Middle Class

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      David Autor, an M.I.T. economist and tech contrarian, argues that A.I. is fundamentally different from past waves of computerization.David Autor seems an unlikely A.I. optimist. The labor economist at the Massachusetts Institute of Technology is best known for his in-depth studies showing how much technology and trade have eroded the incomes of millions of American workers over the years.But Mr. Autor is now making the case that the new wave of technology — generative artificial intelligence, which can produce hyper-realistic images and video and convincingly imitate humans’ voices and writing — could reverse that trend.“A.I., if used well, can assist with restoring the middle-skill, middle-class heart of the U.S. labor market that has been hollowed out by automation and globalization,” Mr. Autor wrote in a National Bureau of Economic Research paper published in February.Mr. Autor’s stance on A.I. looks like a stunning conversion for a longtime expert on technology’s work force casualties. But he said the facts had changed and so had his thinking. Modern A.I., Mr. Autor said, is a fundamentally different technology, opening the door to new possibilities. It can, he continued, change the economics of high-stakes decision-making so more people can take on some of the work that is now the province of elite, and expensive, experts like doctors, lawyers, software engineers and college professors. And if more people, including those without college degrees, can do more valuable work, they should be paid more, lifting more workers into the middle class.The researcher, whom The Economist once called “the academic voice of the American worker,” started his career as a software developer and a leader of a computer-education nonprofit before switching to economics — and spending decades examining the impact of technology and globalization on workers and wages.Mr. Autor, 59, was an author of an influential study in 2003 that concluded that 60 percent of the shift in demand favoring college-educated workers over the previous three decades was attributable to computerization. Later research examined the role of technology in wage polarization and in skewing employment growth toward low-wage service jobs.We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe. More

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      Can Xerox’s PARC, a Silicon Valley Icon, Find New Life with SRI?

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      Two research labs known for some of the tech industry’s most important innovations have merged in hopes of recapturing their glory days. It is one of Silicon Valley’s enduring legends. In 1979, a 24-year old Steve Jobs was permitted to visit Xerox’s Palo Alto Research Center (PARC) to view a demonstration of an experimental personal computer called the Alto. Mr. Jobs took away a handful of ideas that would transform the computing world when they became the heart of Apple’s Lisa and Macintosh computers. More