Elon Musk: Starships Launch for Mars in 2026. Crewed Flights Possible By 2028
Musk said the launches will happen when the next Earth-Mars transfer window opens, which the science blog NextBigFuture identifies as “about November through December 2026.” Musk noted that the 2026 missions “will be uncrewed to test the reliability of landing intact on Mars,” but “If those landings go well, then the first crewed flights to Mars will be in 4 years.”
“Flight rate will grow exponentially from there, with the goal of building a self-sustaining city in about 20 years. Being multiplanetary will vastly increase the probable lifespan of consciousness, as we will no longer have all our eggs, literally and metabolically, on one planet.”
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How an Engineer Exposed an International Bike Theft Ring – By Its Facebook Friends
“But in spring 2020, Hance was tipped to something new: Scores of high-end bikes that matched the descriptions of bikes reported stolen from locations across the Bay Area were turning up for sale on Facebook Marketplace and Instagram pages attached to someone in Mexico, thousands of miles away…”
The Facebook page he first spotted disappeared, replaced by pages that were blocked to U.S. computers; Hance managed to get in anyway, thanks to creative use of a VPN. He started reaching out to the owners whose stolen bikes he suspected he was seeing for sale. “Can you tell me a little bit about how your bike was stolen,” he would ask. Often, the methods were sophisticated and selective. Thieves would break into a bicycle room at an apartment complex with a specialized saw and leave minutes later with only the fanciest mountain bikes…
Over time, he spoke to more than a dozen [police] officers in jurisdictions across the Bay Area, including Alameda, Santa Clara, Santa Cruz, Marin, Napa and Sonoma counties… [H]ere was Hance, telling officers that he believed he had located a stolen bike, in Mexico. “That’s gone,” the officer would inform him. Or, one time, according to Hance: “We’re not Interpol.” Hance also tried to get Meta to do something. After all, he had identified what could be hundreds of stolen bikes being sold on its platforms, valued, he estimated, at well over $2 million. He said he got nowhere…
[Hance] believed he’d figured out the identity of the seller in Jalisco, and was monitoring that person’s personal social media accounts. In early 2021, he had spotted something that might break open the case: the name of a person who was sending the Jalisco seller photos of bikes that matched descriptions of those reported stolen by Bay Area cyclists. Hance theorized that person could be a fence who was collecting stolen bikes on this side of the border and sending photos to Jalisco so they could be posted for sale. Hance hunted through the Jalisco seller’s Facebook friends until he found the name there: Victor Romero, of San Jose. More sleuthing revealed that a man by the name of Victor Romero ran an auto shop in San Jose, and, judging by his own Facebook photos, was an avid mountain biker. There was something else: Romero’s auto shop in San Jose had distinctive orange shelves. One photo of a bike listed for sale on the Jalisco seller’s site had similar orange shelves in the backdrop.
Hance contacted a San Francisco police detective who had seemed interested in what he was doing. Check out this guy’s auto shop, he advised. San Francisco police raided Romero in the spring of 2021. They found more than $200,000 in cash, according to a federal indictment, along with screenshots from his phone they said showed Romero’s proceeds from trafficking in stolen bikes. They also found a Kona Process 153 mountain bike valued at about $4,700 that had been reported stolen from an apartment garage in San Francisco, according to the indictment. It had been disassembled and packaged for shipment to Jalisco.
In January, a federal grand jury indicted Victoriano Romero on felony conspiracy charges for his alleged role in a scheme to purchase high-end stolen bicycles from thieves across the Bay Area and transport them to Mexico for resale.
But bikes continue to be stolen, and “The guy is still operating,” Hance told the Los Angeles Times.
“We could do the whole thing again.”
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‘AI May Not Steal Many Jobs After All’
The experience at Alorica — and at other companies, including furniture retailer IKEA — suggests that AI may not prove to be the job killer that many people fear. Instead, the technology might turn out to be more like breakthroughs of the past — the steam engine, electricity, the internet: That is, eliminate some jobs while creating others. And probably making workers more productive in general, to the eventual benefit of themselves, their employers and the economy. Nick Bunker, an economist at the Indeed Hiring Lab, said he thinks AI “will affect many, many jobs — maybe every job indirectly to some extent. But I don’t think it’s going to lead to, say, mass unemployment…. ”
[T]he widespread assumption that AI chatbots will inevitably replace service workers, the way physical robots took many factory and warehouse jobs, isn’t becoming reality in any widespread way — not yet, anyway. And maybe it never will. The White House Council of Economic Advisers said last month that it found “little evidence that AI will negatively impact overall employment.” The advisers noted that history shows technology typically makes companies more productive, speeding economic growth and creating new types of jobs in unexpected ways… The outplacement firm Challenger, Gray & Christmas, which tracks job cuts, said it has yet to see much evidence of layoffs that can be attributed to labor-saving AI. “I don’t think we’ve started seeing companies saying they’ve saved lots of money or cut jobs they no longer need because of this,” said Andy Challenger, who leads the firm’s sales team. “That may come in the future. But it hasn’t played out yet.”
At the same time, the fear that AI poses a serious threat to some categories of jobs isn’t unfounded. Consider Suumit Shah, an Indian entrepreneur who caused a uproar last year by boasting that he had replaced 90% of his customer support staff with a chatbot named Lina. The move at Shah’s company, Dukaan, which helps customers set up e-commerce sites, shrank the response time to an inquiry from 1 minute, 44 seconds to “instant.” It also cut the typical time needed to resolve problems from more than two hours to just over three minutes. “It’s all about AI’s ability to handle complex queries with precision,” Shah said by email. The cost of providing customer support, he said, fell by 85%….
Similarly, researchers at Harvard Business School, the German Institute for Economic Research and London’s Imperial College Business School found in a study last year that job postings for writers, coders and artists tumbled within eight months of the arrival of ChatGPT.
On the other hand, after Ikea introduced a customer-service chatbot in 2021 to handle simple inquiries, it didn’t result in massive layoffs according to the article. Instead Ikea ended up retraining 8,500 customer-service workers to handle other tasks like advising customers on interior design and fielding complicated customer calls.
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