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    What Trump 2.0 Means for Tech + A.I. Made Me Basic + HatGPT!

    Listen to and follow ‘Hard Fork’Apple | Spotify | Amazon | YouTube | iHeartRadioKevin Roose and Rachel Cohn and Dan PowellElisheba IttoopPat McCusker and As of this week, we have a new president-elect. We discuss how the incoming administration’s approach to technology will affect Elon Musk, a TikTok ban, Big Tech’s antitrust challenges and the speed of A.I. progress. Then, Kashmir Hill, a technology reporter for The Times, joins to discuss her weeklong experiment of letting A.I. make every decision in her life. And finally, we play a round of election-free HatGPT!Guest:Kashmir Hill, technology reporter for The New York Times.Additional Reading:What a Trump Victory Means for TechI Took a ‘Decision Holiday’ and Put A.I. in Charge of My LifeAn ‘Interview’ With a Dead Luminary Exposes the Pitfalls of A.I.Meta’s Plan for Nuclear-Powered A.I. Data Center Thwarted by Rare BeesFired Employee Allegedly Hacked Disney World’s Menu System to Alter Peanut Allergy InformationPhoto Illustration by The New York Times; Photos: Doug Mills/The New York Times (Trump); Getty Images (emojis)Credits“Hard Fork” is hosted by More

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    Physical Intelligence, a Specialist in Robot A.I., Raises $400 Million

    The start-up raised $400 million in a funding round with investments from the likes of Jeff Bezos, Thrive Capital and OpenAI.Physical Intelligence, an artificial intelligence start-up seeking to create brains for a wide variety of robots, plans to announce on Monday that it had raised $400 million in financing from major investors.The round was led by Jeff Bezos, Amazon’s executive chairman, and the venture capital firms Thrive Capital and Lux Capital. Other investors include OpenAI, Redpoint Ventures and Bond.The fund-raising valued the company at about $2 billion, not including the new investments. That’s significantly more than the $70 million that the start-up, which was founded this year, had raised in seed financing.The company wants to make foundational software that would work for any robot, instead of the traditional approach of creating software for specific machines and specific tasks.“What we’re doing is not just a brain for any particular robot,” said Karol Hausman, the company’s co-founder and chief executive. “It’s a single generalist brain that can control any robot.”It’s a tricky task: Building such a model requires a huge amount of data on how to operate in the real world. Those information sets largely do not exist, compelling the company to compile its own. Its work has been aided by big leaps in A.I. models that can interpret visual data.Among the company’s co-founders are Mr. Hausman, a former robotics scientist at Google; Sergey Levine, a professor at the University of California, Berkeley; and Lachy Groom, an investor and former executive at the payments giant Stripe.In a paper published last week, Physical Intelligence showed how its software — called π0, or pi-zero — enabled robots to fold laundry, clear a table, flatten a box and more.“It’s a true generalist,” Mr. Hausman said. Physical Intelligence executives said that its software was closer to GPT-1, the first model published for chatbots by OpenAI, than to the more advanced brains that power ChatGPT.Mr. Groom said that it was hard to predict the rate of progress: A ChatGPT-style breakthrough “could be far sooner than we expect, or it could definitely be far out.”The field of robotics A.I. is getting crowded, with players including Skild, which is also working on general-purpose robot A.I.; Figure AI, whose backers include OpenAI and Mr. Bezos; and Covariant, which focuses on industrial applications.Amazon has a vested interest in the industry, and has been adding more robots in its operations as it seeks to drive down costs and get orders to customers faster. Tesla also has major A.I. ambitions, with Elon Musk recently saying that the company’s humanoid robot would be “the biggest product ever of any kind.” More

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    Nvidia Will Replace Intel in the Dow Jones Stock Index

    The change, starting next Friday, lifts a dominant player in artificial intelligence over its chip-making rival, which has struggled to keep up.The chip-maker Nvidia will soon replace its rival Intel in the Dow Jones industrial average, S&P Dow Jones Indices said on Friday, reflecting Nvidia’s dominance in the world of artificial intelligence.S&P Dow Jones Indices, which maintains the stock index, said in a statement that the change would take place before the opening of trading next Friday “to ensure a more representative exposure to the semiconductors industry.”Nvidia established an early foothold in the A.I. revolution, tailor-making its chips for machine learning tasks and building a community of A.I. programmers who were eager to develop their technology on the company’s hardware. The bet paid off. Nvidia now accounts for the majority of A.I. chip sales and has become the second-most-valuable company in the world, slightly trailing Apple at $3.32 trillion after trading hours on Friday.Intel, which makes the chips that serve as the brains of most computers, once considered buying Nvidia. But its board resisted the acquisition, and Nvidia went on to become a dominant player in the A.I. boom while Intel struggled to keep up. Intel’s market capitalization has fallen below $1 trillion.“The thing that we understood is that this is a reinvention of how computing is done,” Jensen Huang, Nvidia’s chief executive and one of its founders, told The New York Times last year. “And we built everything from the ground up, from the processor all the way up to the end.”A recent stock split at Nvidia prompted speculation that it would replace Intel on the Dow Jones. In June, Nvidia unveiled a 10-for-one stock split that would make it easier for a retail investor to buy into the company without diluting its valuation.Spokeswomen for Nvidia and Intel declined to comment. More

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    From AI to Musk’s Brain Chip, the F.D.A.’s Device Unit Faces Rapid Change

    The new director overseeing medical devices will confront criticisms about hasty approvals as she ushers in revolutionary technology.There are now artificial intelligence programs that scan M.R.I.s for signs of cancer, Apple AirPods that work as hearing aids and devices that decode the electrical blips of the brain to restore speech to those who have lost it.Medical device technology is now deeply entrenched in many patients’ health care and can have a stunning impact on their lives. As advancements become more tangible to millions of Americans, regulation of the devices has commanded increasing attention at the Food and Drug Administration.Dr. Michelle Tarver, a 15-year-veteran of the agency, is stepping into that spotlight at a critical time. She is taking the reins of the F.D.A.’s device division from Dr. Jeffrey Shuren, who forged deep ties with the device industry, sped up the pace of approvals and made the agency more approachable to companies. Some of those device makers were represented by Dr. Shuren’s wife and her law firm, posing ethical conflicts for him that continue to draw scrutiny.Dr. Michelle Tarver, an ophthalmologist and a 15-year veteran of the F.D.A.’s medical device division.U.S. Food and Drug AdministrationMore broadly, congressional lawmakers and consumer advocates have become increasingly concerned about the device industry’s influence over the sprawling division, which has a budget of about $790 million and a staff of 2,500. Device safety and standards for agency approvals of products as intimate as heart valves or neural implants will be at the forefront of the division’s mission in the coming years. Among the issues Dr. Tarver will encounter:Brains, computers and Elon MuskFew devices will require such intense oversight as one of the most breathtaking technologies in development: brain-computer interfaces that dip into the surface layers of the brain to decode its electrical noise — and return function to people who have lost it.Researchers from a number of teams have demonstrated the capability to restore the voice and speech of a California man with ALS, to enable a paralyzed man to walk and to help a man who is paralyzed below the neck to play Mario Kart by simply thinking about steering left or right.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 a Memphis Community Is Fighting Elon Musk’s Supercomputer

    Residents say Mr. Musk’s data center for artificial intelligence is compounding their pollution burden and adding stress on the local electrical grid.Elon Musk, the world’s richest man, is building what he says will be the world’s largest supercomputer. Its electricity needs will rival those of 100,000 homes.The supercomputer’s neighbors in southwest Memphis have a problem with that.The project, part of Mr. Musk’s xAI artificial intelligence business, sits in an old manufacturing plant on more than 550 acres. Before beginning operations there in July, xAI rolled in flatbed trucks loaded with almost 20 mobile power plants, fueled by natural gas, to help meet its electricity demands.Residents of the heavily industrial community — already home to an oil refinery, a steel mill and chemical plants — see no upside. They contend that Mr. Musk’s project has made pollution worse in an area already enveloped in smog.“We’re getting more and more days a year where it is unhealthy for us to go outside,” said KeShaun Pearson, president of Memphis Community Against Pollution and a lifelong resident of the area near the xAI site.The xAI supercomputer center in Memphis is being built at the site of a former appliance factory.Whitten Sabbatini for The New York TimesThe center is to be used to train artificial intelligence models on thousands of powerful computer servers.Whitten Sabbatini for The New York TimesSo far, xAI is using the Memphis facility to develop its artificial intelligence models on a network of thousands of high-powered computer servers. Some of its models are trained on data from Mr. Musk’s social media platform, X.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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    Microsoft and OpenAI’s Close Partnership Shows Signs of Fraying

    The “best bromance in tech” has had a reality check as OpenAI has tried to change its deal with Microsoft and the software maker has tried to hedge its bet on the start-up.Last fall, Sam Altman, OpenAI’s chief executive, asked his counterpart at Microsoft, Satya Nadella, if the tech giant would invest billions of dollars in the start-up.Microsoft had already pumped $13 billion into OpenAI, and Mr. Nadella was initially willing to keep the cash spigot flowing. But after OpenAI’s board of directors briefly ousted Mr. Altman last November, Mr. Nadella and Microsoft reconsidered, according to four people familiar with the talks who spoke on the condition of anonymity.Over the next few months, Microsoft wouldn’t budge as OpenAI, which expects to lose $5 billion this year, continued to ask for more money and more computing power to build and run its A.I. systems.Mr. Altman once called OpenAI’s partnership with Microsoft “the best bromance in tech,” but ties between the companies have started to fray. Financial pressure on OpenAI, concern about its stability and disagreements between employees of the two companies have strained their five-year partnership, according to interviews with 19 people familiar with the relationship between the companies.That tension demonstrates a key challenge for A.I. start-ups: They are dependent on the world’s tech giants for money and computing power because those big companies control the massive cloud computing systems the small outfits need to develop A.I.No pairing displays this dynamic better than Microsoft and OpenAI, the maker of the ChatGPT chatbot. When OpenAI got its giant investment from Microsoft, it agreed to an exclusive deal to buy computing power from Microsoft and work closely with the tech giant on new A.I.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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    Doctors, A.I. and Empathy for Patients

    More from our inbox:Breast Cancer ScreeningWalz’s MisstepsMental Health Support for SchoolchildrenTo the Editor:Re “ChatGPT’s Bedside Manner Is Better Than Mine,” by Jonathan Reisman (Opinion guest essay, Oct. 9):Dr. Reisman notes that ChatGPT’s answers to patient questions have been rated as more empathetic than those written by actual doctors. This should not be a call for doctors to surrender our human role to A.I. To the contrary, we need to continue to improve our communication skills.For the past 25 years, I have been facilitating seminars in doctor-patient communication. The skills to communicate bad news listed by Dr. Reisman are exactly the techniques that we suggest to our medical students. However, doctors can avoid the temptation to surrender their “humanity to a script” as if it were “just another day at work.”Techniques are a valuable guide, but the real work consists of carefully listening to the responses and their emotional content, and crafting new words and phrases that speak to the unique patient’s confusion, fear and distress.In my experience, patients know when we are reciting a script, and when we are paying attention to their thoughts and feelings. Unlike A.I., and especially when conversations are matters of life and death, we can reach into the depths of our humanity to feel and communicate empathy and compassion toward our patients.Neil S. ProseDurham, N.C.To the Editor:Mention the words “A.I.” and “doctoring” to most physicians in the same sentence, and the immediate reaction is often skepticism or fear.As Dr. Jonathan Reisman noted in his essay, A.I. has shown a remarkable ability to mimic human empathy in encounters with patients. This is one reason many practicing physicians worry that A.I. may replace doctors eventually.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 Shift in the World of Science

    What this year’s Nobels can teach us about science and humanity.Alan Burdick and Technology observers have grown increasingly vocal in recent years about the threat that artificial intelligence poses to the human variety. A.I. models can write and talk like us, draw and paint like us, crush us at chess and Go. They express an unnerving simulacrum of creativity, not least where the truth is concerned.A.I. is coming for science, too, as this week’s Nobel Prizes seemed keen to demonstrate. On Tuesday, the Nobel Prize in Physics was awarded to two scientists who helped computers “learn” closer to the way the human brain does. A day later, the Nobel Prize in Chemistry went to three researchers for using A.I. to invent new proteins and reveal the structure of existing ones — a problem that stumped biologists for decades, yet could be solved by A.I. in minutes.The Nobel Committee for Chemistry announced the winners last week.Jonathan Nackstrand/Agence France-Presse — Getty ImagesCue the grousing: This was computer science, not physics or chemistry! Indeed, of the five laureates on Tuesday and Wednesday, arguably only one, the University of Washington biochemist David Baker, works in the field he was awarded in.The scientific Nobels tend to award concrete results over theories, empirical discovery over pure idea. But that schema didn’t quite hold this year, either. One prize went to scientists who leaned into physics as a foundation on which to build computer models used for no groundbreaking result in particular. The laureates on Wednesday, on the other hand, had created computer models that made big advancements in biochemistry.These were outstanding and fundamentally human accomplishments, to be sure. But the Nobel recognition underscored a chilling prospect: Henceforth, perhaps scientists will merely craft the tools that make the breakthroughs, rather than do the revolutionary work themselves or even understand how it came about. Artificial intelligence designs and builds hundreds of molecular Notre Dames and Hagia Sophias, and a researcher gets a pat for inventing the shovel.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