Spotify appears to be creating and uploading x thousands of identical, procedurally generated songs under different names and cover art.

According to DN, Firefly Entertainment is doing a roaring trade in what some would call “fake artists” on Spotify.
These are the now-well-known pseudonymous artists on the streaming platform – artists with no discernible online footprint – whose music fills up many of Spotify’s own key mood and chillout playlists.
For a long time, music industry figures have wondered aloud whether Spotify has deals in place that see it pay less in royalties for streams of music from “fake artists” – whose cumulative streams now sit in the billions – than streams of artists signed to major record companies.
In its report (available here) DN obtained a list of 830 ‘fake artist’ names linked to Firefly, and discovered that at least 495 of these artists have music on first-party Spotify playlists.
This figure probably under-estimates the scope of Firefly’s artists on Spotify-run playlists, suggests DN, as the newspaper only examined 100 playlists out of the “several thousand [playlists] that Spotify is responsible for”.

“The expectation was, you have to smile eight hours a day,” a woman Baker calls Sofiya tells her. A 41-year-old Russian émigré who had been living in the United States for the past decade, Sofiya “was a proficient English speaker,” Baker writes, but it was in her job as a bank teller that she “came face-to-face with her deficiency in speaking ‘American.’ This other English language, made up of not just words but also facial expressions and habits of conversation subtle enough to feel imagined. Smiling almost constantly was at the core of her duties as a teller. As she smiled at one customer after another, she would wince inwardly at how silly it felt. There was no reason to smile at her clients, she thought, since there was nothing particularly funny or heartwarming about their interactions. And her face hurt.”
This confrontation with the culture clash of smiling for an Eastern European immigrant in America hits close to home. Which is why seeing the relentless parade of toothy, ahistorical, quintessentially American, “cheese” smiles plastered on the faces of every civilization in the world across time and space was immediately jarring. It was as if the AI had cast 21st century Americans to put on different costumes and play the various cultures of the world. Which, of course, it had.
The very first citation in this stupid letter is to our StochasticParrots Paper, "AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1]"
EXCEPT
that one of the main points we make in the paper is that one of the biggest harms of large language models, is caused by CLAIMING that LLMs have "human-competitive intelligence."
One of Europe’s largest ammunition manufacturers has said efforts to meet surging demand from the war in Ukraine have been stymied by a new TikTok data centre that is monopolising electricity in the region close to its biggest factory.
The chief executive of Nammo, which is co-owned by the Norwegian government, said a planned expansion of its largest factory in central Norway hit a roadblock due to a lack of surplus energy, with the construction of TikTok’s new data centre using up electricity in the local area.
“We are concerned because we see our future growth is challenged by the storage of cat videos,” Morten Brandtzæg told the Financial Times.

Samsung cameras claim to produce incredibly high-detailed photos, even at night. One example they use is shots of the moon. However, as this reddit user shows, they are in fact using onboard AI / machine learning to superimpose existing high definition moon images onto the low-definition images actually taken by users. Samsung is faking the moon.

A typical crochet pattern resembles coding in its own way, with abbreviations and punctuation marks denoting the creation process. “Ch” is used to denote “chain”, and “sc” is “single crochet”, for example. Meanwhile, an asterisk (*) implies an instruction should be repeated and brackets [] are used to separate repeatable steps in the instructions.
Woolner was impressed to find that ChatGPT returned comprehensive instructions that resembled a typical pattern. Following the pattern exactly, they created what was described as an “AI-generated narhwal crochet monstrosity”. Woolner said although the product was anatomically disturbing, it was impressive the language-learning tool created a pattern that actually yielded a sea creature.
“The consensus among people who have seen it is that it looks wrong and ugly, but also very cute,” they said. “It came out shockingly very accurate while still being very, very wrong. It’s a weird mix, kind of an uncanny valley.”
Drones raining from the sky in Zhengzhou 
 Word on the street is that a rival drone company that lost the bid interfered to overwhelm the drones nav system!

Twitter: pitdesi

The human eye can’t really tell just how well plants have already been fertilised. But robotic eyes – in other words, multispectral cameras combined with the right software – can assess the nutritional status of the wheat at a glance. To this end, Argento is using the drone to make an aerial photo of the wheatfield – not in the visible spectrum, but in the so-called near-infrared radiation range. This shows the ‘emotional state’ of the plants, as it were. “When plants reflect a lot of near-infrared radiation, then they’re doing well. If they only reflect a little, they are under stress”, says Argento. Plants can get stressed when they are given either too much or too little fertiliser.

“Pre-tiled imagery“ - ultrazool on Twitter

Iowa, United States (41.9°N 94.8°W), 06 Sep 2021

Tibetan woman holding flowers, only they're not flowers they're cryptocurrency mining PSUs. [Reddit, h/t Will S.]

When we think of deepfakes, we tend to imagine AI-generated people. This might be lighthearted, like a deepfake Tom Cruise, or malicious, like nonconsensual pornography. What we don’t imagine is deepfake geography: AI-generated images of cityscapes and countryside. But that’s exactly what some researchers are worried about.
Specifically, geographers are concerned about the spread of fake, AI-generated satellite imagery. Such pictures could mislead in a variety of ways. They could be used to create hoaxes about wildfires or floods, or to discredit stories based on real satellite imagery. (Think about reports on China’s Uyghur detention camps that gained credence from satellite evidence. As geographic deepfakes become widespread, the Chinese government can claim those images are fake, too.) Deepfake geography might even be a national security issue, as geopolitical adversaries use fake satellite imagery to mislead foes.
Source: theverge.com
In 2014, Facebook filed a patent application for a technique that employs smartphone data to figure out if two people might know each other. The author, an engineering manager at Facebook named Ben Chen, wrote that it was not merely possible to detect that two smartphones were in the same place at the same time, but that by comparing the accelerometer and gyroscope readings of each phone, the data could identify when people were facing each other or walking together. That way, Facebook could suggest you friend the person you were talking to at a bar last night, and not all the other people there that you chose not to talk to.
Source: Gizmodo
Over the past few years, cops sure have become increasingly vocal about their disdain of average citizens exercising their constitutional right to record interactions with authorities. It's almost as if many of them feel they are above the law itself, but we digress. Now, some officers appear to be trying to evade videos of them circulating on social media through a crafty — if not exactly airtight — strategy: playing copyrighted music loudly and for long enough to be flagged by automatic censoring software on apps like Instagram.