Saturday, September 14th, 2024

Time	Event
2:34p	Microsoft, Google, Meta, and Amazon Fight Calls to Pay More for Electric Grid Updates The Washingon Post reports that a regulatory dispute in Ohio may help answer a big question about America's power grid: who will pay for the huge upgrades needed to meet soaring energy demand "from the data centers powering the modern internet and artificial intelligence revolution?" Google, Amazon, Microsoft and Meta are fighting a proposal by an Ohio power company to significantly increase the upfront energy costs they'll pay for their data centers, a move the companies dubbed "unfair" and "discriminatory" in documents filed with Ohio's Public Utility Commission last month. American Electric Power Ohio said in filings that the tariff increase was needed to prevent new infrastructure costs from being passed on to other customers such as households and businesses if the tech industry should fail to follow through on its ambitious, energy-intensive plans. The case could set a national precedent that helps determine whether and how other states force tech firms to be accountable for the costs of their growing energy consumption... The energy demands of data centers have created similar concerns in other hot spots such as Northern Virginia, Atlanta and Maricopa County, Arizona, leaving experts concerned that the U.S. power grid may not be capable of dealing with the combined needs of the green energy transition and the computing boom that artificial intelligence companies say is coming... Energy customers must sometimes make a monthly payment to a utility that is a percentage of the maximum amount of electricity they predict that they could need. In Ohio, data center companies had agreed to pay 60 percent of the projected amount. But in May, the power company proposed a new, 10-year fee structure raising the charges to 90 percent of the expected load, even if they don't end up using that much. The major tech companies — all of whom are increasing spending on data center infrastructure to compete in AI — strenuously opposed the proposed contract in documents filed last month... According to testimony from AEP Ohio Vice President Lisa Kelso, there are 50 pending requests from data center customers seeking electric service at more than 90 sites, a potential 30,000 megawatts of additional load — enough to power more than 20 million households. That additional demand would more than triple the utility's previous peak load in 2023, she said. Between 2020 and 2024, the data center energy load in central Ohio increased sixfold, from 100 to 600 megawatts, her testimony reads. By 2030, that amount will reach 5,000 megawatts, according to the utility's signed agreements, she testified... Meeting that demand will require AEP Ohio to build new transmission lines, an expensive and time-consuming process... Chief among the power company's concerns, according to the documents, is what will happen if it invests billions of dollars into new grid infrastructure only for the data centers to leave for greener pastures, or for the AI bubble to burst and the facilities to need much less power than initially projected. If the power company spends big on new infrastructure but the power demand it was built to serve doesn't materialize, other customers — including business and residential payers — will be stuck with the bill, the utility said... AEP Ohio's testimony in the case also questions whether data centers bring as much to local communities as factories or other high-energy-load businesses. Since 2019, non-data center businesses have created approximately 25 jobs for every megawatt of power requested, while data centers have created less than one job per megawatt, according to Kelso's testimony. The tech companies rejected this criticism, saying the number of jobs they create is not relevant to how much power they have a right to purchase, and highlighted their other contributions to local economies... Amazon said in filings that it pays fees as high as 75 percent of projected demand in some states but that Ohio's proposal to bill it 90 percent goes too far. "Should the Ohio tariff be approved, Microsoft and Google both threatened in their testimony to leave Ohio." (Although at the same time, "pressure on the electric grid is mounting all over the country...") And the article points out that on Thursday, "the White House announced measures intended to speed up data center construction for AI projects, including by accelerating permitting." Read more of this story at Slashdot. (Comment on this)
8:02p	What a Google Exec Learned After 7 Years Trying to Give AI a Robot Body Wired published some thoughts from Hans Peter Brondmo, the former head of "Google's seven-year mission to give AI a robot body". An anonymous reader shared this report from Axios: Building AI-powered robots that can flexibly operate in the real world is going to take much longer than Silicon Valley believes and promises, according to the former head of Google's robotics moonshot project, writing in Wired... Everyday Robotics spent seven years and a small Google fortune developing a one-armed robot on a wheeled platform. By the time Google pulled the plug on the project in February 2023, the robots were helping clean up researchers' desks and sorting trash during the daytime; in the evening, they were improvising dances. [Google hired a professional dancer as an artist-in-residence who teamed with "a few other engineers" to build an AI algorithm trained on the dancer's choreography preferences...] Google founder Larry Page — favored moving directly to "end to end" (e2e) learning, where you'd hand robots a general task and they'd be able to figure out how to execute it. That, Page felt, was a goal worthy of a moonshot. But it also turned out to be out of reach. "I have come to believe," Brondmo writes, "it will take many, many thousands, maybe even millions of robots doing stuff in the real world to collect enough data to train e2e models that make the robots do anything other than fairly narrow, well-defined tasks...." ["Building robots that perform useful services — like cleaning up and wiping all the tables in a restaurant, or making the beds in a hotel — will require both AI and traditional programming for a long time to come. In other words, don't expect robots to go running off outside our control, doing something they weren't programmed to do, anytime soon."] The bottom line: So far, robot hype is outpacing robot reality. Boston Dynamics' back-flipping humanoid and quadruped bots have wowed YouTube viewers — but you wouldn't want to let them anywhere near your office or home. It's an interesting look back. "My job: help figure out what to do with the employees and technology left over from nine robot companies that Google had acquired," Brondmo writes: Andy "the father of Android" Rubin, who had previously been in charge, had suddenly left. Larry Page and Sergey Brin kept trying to offer guidance and direction during occasional flybys in their "spare time...." I knew from firsthand experience how hard it was to build a company that, in Steve Jobs' famous words, could put a dent in the universe, and I believed that Google was the right place to make certain big bets. AI-powered robots, the ones that will live and work alongside us one day, was one such audacious bet. Eight and a half years later — and 18 months after Google decided to discontinue its largest bet in robotics and AI — it seems as if a new robotics startup pops up every week. I am more convinced than ever that the robots need to come. Yet I have concerns that Silicon Valley, with its focus on "minimum viable products" and VCs' general aversion to investing in hardware, will be patient enough to win the global race to give AI a robot body. And much of the money that is being invested is focusing on the wrong things... When I arrived, the lab had already hatched Waymo, Google Glass, and other science-fiction-sounding projects like flying energy windmills and stratospheric balloons that would provide internet access to the underserved... [But] in January 2023, two months after OpenAI introduced ChatGPT, Google shut down Everyday Robots, citing overall cost concerns. The robots and a small number of people eventually landed at Google DeepMind to conduct research. In spite of the high cost and the long timeline, everyone involved was shocked. They'd tackled the problem with earnestness. ("[S]even robots working for months to learn how to pick up a rubber duckling? That wasn't going to cut it... So we built a cloud-based simulator and, in 2021, created more than 240 million robot instances in the sim.ma") Brondmo adds this his mother had advanced Parkinson's disease, and hoped that one day robots could support her. "Our frequent conversations toward the end of her life convinced me more than ever that a future version of what we started at Everyday Robots will be coming. In fact, it can't come soon enough. "So the question we are left to ponder becomes: How does this kind of change and future happen? I remain curious, and concerned." Read more of this story at Slashdot. (Comment on this)

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