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An anonymous reader quotes a report from VICE News: Last week border officials in the Punjab region of India revealed they intercepted 107 drug-carrying drones sent by smuggling gangs last year over the border from Pakistan, the highest number on record. Most were carrying heroin or opium from Pakistan to be dropped and received by collaborators in the Punjab, notorious for having India's worst levels of opiate addiction. Last year the head of a police narcotics unit in Lahore, a city in Pakistan which borders the Punjab, was dismissed after he was suspected of running a drug trafficking gang sending drones over to India. But the use of cheap flying robots instead of humans to smuggle drugs across borders is a worldwide phenomenon. [...] [D]rones will likely become an everyday part of drug dealing too, according to Peter Warren Singer, author of multiple books on national security and a Fellow at think tank New America, with legit medicines due to be delivered by drone in the U.S. later this year and maybe in the U.K. too. "We are just scraping the surface of what is possible, as drone deliveries become more and more common in the commercial world, it will be the same with delivery of illicit goods. In our book, Burn-In, we explain how a future city will see drones zipping about delivering everything from groceries and burritos to drugs, both prescribed by a doctor or bought off a dealer. Drones have traditionally been used by governments and corporations for what are known as the "3 D's" jobs that are too dull, dirty, or dangerous for humans. For criminals, it is the same, except add in another D: Dependable. A drone doesn't steal the product and can't be arrested or snitch if caught." Liam O'Shea, senior research fellow for organized crime and policing at defense and security thinktank RUSI, said drones were at the moment of limited value to wholesale traffickers and organized criminal gangs because of their range and the weight they can carry. "It makes sense that smugglers would seek to use drones. They are cheap and easy to acquire. They also lower the risks involved in some transactions, as smugglers do not have to be physically present during transactions. They offer opportunities for smuggling in areas where previous routes were too risky, such as prisons and over securitized borders. "I expect them to be of greater value to smaller players and distributors dealing with smaller quantities. Wholesale drug traffickers will still need to use routes that facilitate smuggling at higher volume or using drones to make multiple trips, which entails risks of detection. That may well change as improvements in technology improve drones' carrying capacity and crime groups are better able to access drones with greater capacity."

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Tesla and Samsung are joining forces to allow users of Samsung's SmartThings platform to connect to Tesla products so they can keep track of energy production and usage. The Verge reports: When connected to the Powerwall, SmartThings Energy can sync with the "Storm Watch" feature so that you're notified of heavy weather on a Samsung phone or TV, for example. In addition to the Powerwall, SmartThings Energy will be able to connect to other Tesla products, including its electric vehicles, Solar Inverter, and Wall Connector charging solutions. The collaboration is possible thanks to Tesla's API, which Samsung claims SmartThings Energy is the first to take advantage of.

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Once a dominant force in music discovery, Spotify's famed playlists like RapCaviar, which significantly influenced mainstream music and artist visibility, are losing ground. As the music industry shifts towards algorithmic suggestions and TikTok emerges as a major music promoter, Spotify's strategy evolves with more automated music discovery and less emphasis on human-curated playlists, signaling a potential end to the era where a few key playlists could make a star overnight. Bloomberg reports: Enter TikTok. In the late 2010s, as the algorithmic controlled, short-form video app emerged as a growing force in music promotion, Spotify took notice. On an earnings call in 2020, Spotify Chief Executive Officer Daniel Ek noted that users were increasingly opting for algorithmic suggestions and that Spotify would be leaning into the trend. "As we're getting better and better at personalization, we're serving better and better content and more and more of our users are choosing that," he said. From there, Spotify began implementing a number of changes that over time significantly altered the fundamental dynamics of how playlists get composed. Among other things, the company had already introduced a standardized pitching form that all artists and managers must use to submit tracks for playlist consideration. One former employee says the tool was created to foster a more merit-based system with a greater emphasis on data -- and less focus on the taste of individual curators. The goal, in part, was to give independent and smaller artists without the resources to personally court key playlist editors a better chance at placements. It was also a way to better protect the public-facing editors who in the early days were sometimes subjected to harassment from people disgruntled over their musical choices. As the automated submission system took hold, the editors gradually grew more anonymous and less associated with particular playlists. In a handbook for the editorial team, Spotify instructed curators not to claim ownership of any one playlist. At the same time, Spotify began introducing multiple splashy features meant to encourage algorithm-driven listening, including an AI DJ and Daylist, two features that constantly change to fit listeners' habits and interests. (Spotify says "human expertise" guides the AI DJ.) Last year, Spotify laid off members of the teams involved in making playlists as part of its various cuts. And over time, the shift in emphasis has had consequences outside the company as well. These days, the same music industry sources who in the late 2010s learned to obsess over what was included and excluded from key Spotify playlists have started noticing something else -- it no longer seems to matter as much. Employees at different major labels say they've seen streams coming from RapCaviar drop anywhere from 30% to 50%. The trend towards automated music discovery at Spotify shows no sign of slowing down. One internal presentation titled "Recapturing the Zeitgeist" encourages editorial curators to better utilize data. According to the people who have seen the plan, in addition to putting together a playlist, editorial curators would tag songs to help the algorithm accurately place them on relevant playlists that are automatically personalized for individual subscribers. The company has also shifted some human-curated playlists to personalized versions, including selections with seven-figure followings, like Housewerk and Indie Pop. These days, Spotify is also promoting something called Discovery Mode, wherein labels and artist teams can submit songs for additional algorithm pushes in exchange for a lower royalty rate. These tracks can only surface on personalized listening sessions, a former employee said, meaning Spotify would have a financial incentive to push people to them over editorially curated playlists. (For now, Discovery Mode songs only surface in radio or autoplay listening sessions.) The shift toward algorithmic distribution isn't necessarily a bad thing, says Dan Smith, US general manager at Armada, an independent dance label. "The way fans discovered new music was radio back in the day, then Spotify editorial playlists, then there were a few years where people only discovered new music through TikTok," Brad said. "All those things still work ... we're all just trying different ways to make sure songs get to the right people."

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