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X Is Drowning in Disinformation Following US and Israel’s Attack on Iran

X Is Drowning in Disinformation Following US and Israel’s Attack on Iran

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Minutes after Donald Trump announced that the US and Israeli governments had launched a “major combat operation” against Iran in the early hours of Saturday morning, disinformation about the attack and Tehran’s response flooded X.

WIRED has reviewed hundreds of posts on X, some of which have racked up millions of views, that promote misleading claims about the locations and scale of the attack.

Elon Musk’s social media platform is a verifiable mess: In some cases, alleged video footage of the attack shared in posts on X are actually months or years old. In several posts, video footage of apparent attacks have been attributed to incorrect locations. A number of images shared on X appear to be altered or generated with AI. Other posts attempt to pass off video game footage as scenes from the conflict.

X did not respond to a request for comment. Under Musk’s stewardship, X has become a haven for disinformation, especially during major global breaking news events. At the beginning of the Israel-Hamas war, and more recently during anti-immigration enforcement protests in LA, the platform has drowned in inaccurate and faulty posts.

Almost all of the most viral posts reviewed by WIRED on Saturday came from accounts with blue check marks, meaning they pay X for its premium service and could be eligible to earn money based on how much engagement their posts generate, even if the content is false. While some posts with disinformation have a community note appended beneath them to correct the record, they remain up on the site, and it’s unclear how many people viewed them before the notes appeared.

One video posted by a blue check mark account claimed to show ballistic missiles over Dubai; the clip actually showed Iranian ballistic missiles fired at Tel Aviv in October 2024. The post has been viewed over 4.4 million times.

One of the most viral clips shared on X in the hours after the attack claims to show an Israeli fighter jet being shot down by Iranian air defense systems. The video has been shared by dozens of accounts, including one post which has been viewed more than 3.5 million times. The provenance of the video is unclear, but there have been no credible reports of any Israeli jets being shot down over Iran on Saturday.

Another account that claims to be an expert in open source intelligence posted a video showing explosions, alongside the caption: “6 Iranian Hypersonic Missiles hit the Indian-invested Israeli Haifa port. Massive damages reported.” The video has been viewed 64,000 times, but the footage was actually captured last July and shows an Israeli attack on the defense ministry in Damascus, Syria.

In a number of cases, pro-Iranian accounts have been using images and footage from Saturday’s attacks to falsely claim successful strikes against Israel. “IRANIAN MISSILE IMPACT IN TEL AVIV RIGHT NOW,” the Iran Observer account wrote in a post featuring an image of Dubai. The post had been viewed over 200,000 times before it was deleted, but dozens of other posts sharing the same image and making the same claims remain on X.

Tehran Times, a news outlet aligned with the Iranian government, posted what appears to be an AI-generated image on X which claims to show that “an American radar in Qatar was completely destroyed today in an Iranian drone strike.” The use of AI generated images was flagged on X by Tal Hagin, a senior analyst with open source intelligence company Golden Owl. While there are reports that drone and missile attacks targeted the US Navy’s 5th Fleet headquarters in Bahrain, there are no reports yet of similar successful attacks in Qatar.

A pro-Trump account, which also features a blue check mark, posted images claiming to show the before and after pictures of the palace of Iranian Supreme Leader Ali Khamenei, which was targeted during Saturday’s missile attacks. (In a post on Truth Social, Trump claimed Khamenei was killed in an attack.) While the after picture appears to accurately show the palace after the attack, the before picture shows the Mausoleum of Ruhollah Khomeini, which is located on the other side of Tehran. The post has been viewed 365,000 times.

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On a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating">AI Agents Are Coming for Your Dating LifeOn a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”“A Spicy Personality”Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating

AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating">AI Agents Are Coming for Your Dating Life

On a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating

If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

SEE ALSO: Hurdle: Everything you need to know to find the answers

Hurdle Word 1 hint

An authorized person.

SEE ALSO: Apple’s new M3 MacBook Air is $300 off at Amazon. And yes, I’m tempted.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

SEE ALSO: Wordle today: Answer, hints for April 13, 2026

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

SEE ALSO: NYT Connections Sports Edition today: Hints and answers for April 13
SEE ALSO: NYT Connections hints today: Clues, answers for April 13, 2026

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

SEE ALSO: Mahjong, Sudoku, free crossword, and more: Games available on Mashable

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April">Today’s Hurdle hints and answers for April 13, 2026 If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine. There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle. Mashable 101 Fan Fave: Nominate your favorite creators todayIf you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered. SEE ALSO: Hurdle: Everything you need to know to find the answers Hurdle Word 1 hintAn authorized person. SEE ALSO: Apple’s new M3 MacBook Air is 0 off at Amazon. And yes, I’m tempted. Hurdle Word 1 answerPROXY Mashable Top Stories Hurdle Word 2 hintGrooming product. SEE ALSO: Wordle today: Answer, hints for April 13, 2026 Hurdle Word 2 AnswerBRUSHMashable 101 Fan Fave: Nominate your favorite creators todayHurdle Word 3 hintA small dish. SEE ALSO: NYT Connections Sports Edition today: Hints and answers for April 13 SEE ALSO: NYT Connections hints today: Clues, answers for April 13, 2026 Hurdle Word 3 answerPETRIHurdle Word 4 hintQuick.Hurdle Word 4 answerRAPIDFinal Hurdle hintBaby dog. SEE ALSO: Mahjong, Sudoku, free crossword, and more: Games available on Mashable Hurdle Word 5 answerPUPPYIf you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more. #Todays #Hurdle #hints #answers #April

Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

SEE ALSO: Hurdle: Everything you need to know to find the answers

Hurdle Word 1 hint

An authorized person.

SEE ALSO: Apple’s new M3 MacBook Air is $300 off at Amazon. And yes, I’m tempted.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

SEE ALSO: Wordle today: Answer, hints for April 13, 2026

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

SEE ALSO: NYT Connections Sports Edition today: Hints and answers for April 13
SEE ALSO: NYT Connections hints today: Clues, answers for April 13, 2026

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

SEE ALSO: Mahjong, Sudoku, free crossword, and more: Games available on Mashable

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April">Today’s Hurdle hints and answers for April 13, 2026

If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

SEE ALSO: Hurdle: Everything you need to know to find the answers

Hurdle Word 1 hint

An authorized person.

SEE ALSO: Apple’s new M3 MacBook Air is $300 off at Amazon. And yes, I’m tempted.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

SEE ALSO: Wordle today: Answer, hints for April 13, 2026

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

SEE ALSO: NYT Connections Sports Edition today: Hints and answers for April 13
SEE ALSO: NYT Connections hints today: Clues, answers for April 13, 2026

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

SEE ALSO: Mahjong, Sudoku, free crossword, and more: Games available on Mashable

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April
For obvious reasons, I’ve had Moon on the mind all week. So I was trying to figure out what I should recommend this week that would thematically fit. Brian Eno’s Apollo: Atmospheres and Soundtracks is incredible, and if you haven’t listened to it, go do that now. But it also seemed a bit on the nose. Radiohead’s A Moon Shaped Pool also came to mind. But it also felt a bit obvious. Then I remembered Kate NV’s Room for the Moon, a record I had on repeat in 2020.

Russian artist Kate Shilonosova chases ideas across 11 tracks inspired by Russian and Japanese pop from the ‘70s and ‘80s, as well as children’s movies. This obviously leads Room for the Moon to indulge its most whimsical impulses. It’s a fairytale rendered in snappy Talking Heads-esque bass, proggy synths, and reverbed drum machines.

The opener “Not Not Not” is almost goofy, its chaotic melodies constantly dancing around each other in a perpetually disorienting way. It lurches forward asymetrically, grooving like a flat tire. The instrumental “Da Na” follows, drawing on a familiar yet slightly uncanny palette of sounds. The clarinet (?) drifts in and out of dissonance as if drunk. The tuned percussion elements flit around what might be a kenari seed shell shaker or someone running their fingers over the tines of a comb. It’s truly impossible to tell, and both seem as likely as the other.

“Sayonara (Full Moon Version)” is the fantastical daydream counterpart to Oingo Boingo’s nightmare new wave theatrics. The least strange track on the record is probably “Plans,” which fully embraces 80s dance pop aesthetics. But even that song finds room for a minute-long instrumental passage featuring a bleating, almost atonal saxophone solo.

While the sounds are strange, uneasy, and almost queasy at times, the songs are light and fantastical. Despite not understanding the lyrics, which are mostly in Russian, it’s impossible not to get a sense of hope from them. Kate NV’s Room for the Moon is not a somber lunar lullaby, but the pleasant dreams of an innocent mind.

#Room #Moon #thrillingly #weird #experimental #popColumn,Entertainment,Music,Music Review">Room for the Moon is thrillingly weird experimental popFor obvious reasons, I’ve had Moon on the mind all week. So I was trying to figure out what I should recommend this week that would thematically fit. Brian Eno’s Apollo: Atmospheres and Soundtracks is incredible, and if you haven’t listened to it, go do that now. But it also seemed a bit on the nose. Radiohead’s A Moon Shaped Pool also came to mind. But it also felt a bit obvious. Then I remembered Kate NV’s Room for the Moon, a record I had on repeat in 2020.Russian artist Kate Shilonosova chases ideas across 11 tracks inspired by Russian and Japanese pop from the ‘70s and ‘80s, as well as children’s movies. This obviously leads Room for the Moon to indulge its most whimsical impulses. It’s a fairytale rendered in snappy Talking Heads-esque bass, proggy synths, and reverbed drum machines.The opener “Not Not Not” is almost goofy, its chaotic melodies constantly dancing around each other in a perpetually disorienting way. It lurches forward asymetrically, grooving like a flat tire. The instrumental “Da Na” follows, drawing on a familiar yet slightly uncanny palette of sounds. The clarinet (?) drifts in and out of dissonance as if drunk. The tuned percussion elements flit around what might be a kenari seed shell shaker or someone running their fingers over the tines of a comb. It’s truly impossible to tell, and both seem as likely as the other.“Sayonara (Full Moon Version)” is the fantastical daydream counterpart to Oingo Boingo’s nightmare new wave theatrics. The least strange track on the record is probably “Plans,” which fully embraces 80s dance pop aesthetics. But even that song finds room for a minute-long instrumental passage featuring a bleating, almost atonal saxophone solo.While the sounds are strange, uneasy, and almost queasy at times, the songs are light and fantastical. Despite not understanding the lyrics, which are mostly in Russian, it’s impossible not to get a sense of hope from them. Kate NV’s Room for the Moon is not a somber lunar lullaby, but the pleasant dreams of an innocent mind.#Room #Moon #thrillingly #weird #experimental #popColumn,Entertainment,Music,Music Review

obvious reasons, I’ve had Moon on the mind all week. So I was trying to figure out what I should recommend this week that would thematically fit. Brian Eno’s Apollo: Atmospheres and Soundtracks is incredible, and if you haven’t listened to it, go do that now. But it also seemed a bit on the nose. Radiohead’s A Moon Shaped Pool also came to mind. But it also felt a bit obvious. Then I remembered Kate NV’s Room for the Moon, a record I had on repeat in 2020.

Russian artist Kate Shilonosova chases ideas across 11 tracks inspired by Russian and Japanese pop from the ‘70s and ‘80s, as well as children’s movies. This obviously leads Room for the Moon to indulge its most whimsical impulses. It’s a fairytale rendered in snappy Talking Heads-esque bass, proggy synths, and reverbed drum machines.

The opener “Not Not Not” is almost goofy, its chaotic melodies constantly dancing around each other in a perpetually disorienting way. It lurches forward asymetrically, grooving like a flat tire. The instrumental “Da Na” follows, drawing on a familiar yet slightly uncanny palette of sounds. The clarinet (?) drifts in and out of dissonance as if drunk. The tuned percussion elements flit around what might be a kenari seed shell shaker or someone running their fingers over the tines of a comb. It’s truly impossible to tell, and both seem as likely as the other.

“Sayonara (Full Moon Version)” is the fantastical daydream counterpart to Oingo Boingo’s nightmare new wave theatrics. The least strange track on the record is probably “Plans,” which fully embraces 80s dance pop aesthetics. But even that song finds room for a minute-long instrumental passage featuring a bleating, almost atonal saxophone solo.

While the sounds are strange, uneasy, and almost queasy at times, the songs are light and fantastical. Despite not understanding the lyrics, which are mostly in Russian, it’s impossible not to get a sense of hope from them. Kate NV’s Room for the Moon is not a somber lunar lullaby, but the pleasant dreams of an innocent mind.

#Room #Moon #thrillingly #weird #experimental #popColumn,Entertainment,Music,Music Review">Room for the Moon is thrillingly weird experimental pop

For obvious reasons, I’ve had Moon on the mind all week. So I was trying to figure out what I should recommend this week that would thematically fit. Brian Eno’s Apollo: Atmospheres and Soundtracks is incredible, and if you haven’t listened to it, go do that now. But it also seemed a bit on the nose. Radiohead’s A Moon Shaped Pool also came to mind. But it also felt a bit obvious. Then I remembered Kate NV’s Room for the Moon, a record I had on repeat in 2020.

Russian artist Kate Shilonosova chases ideas across 11 tracks inspired by Russian and Japanese pop from the ‘70s and ‘80s, as well as children’s movies. This obviously leads Room for the Moon to indulge its most whimsical impulses. It’s a fairytale rendered in snappy Talking Heads-esque bass, proggy synths, and reverbed drum machines.

The opener “Not Not Not” is almost goofy, its chaotic melodies constantly dancing around each other in a perpetually disorienting way. It lurches forward asymetrically, grooving like a flat tire. The instrumental “Da Na” follows, drawing on a familiar yet slightly uncanny palette of sounds. The clarinet (?) drifts in and out of dissonance as if drunk. The tuned percussion elements flit around what might be a kenari seed shell shaker or someone running their fingers over the tines of a comb. It’s truly impossible to tell, and both seem as likely as the other.

“Sayonara (Full Moon Version)” is the fantastical daydream counterpart to Oingo Boingo’s nightmare new wave theatrics. The least strange track on the record is probably “Plans,” which fully embraces 80s dance pop aesthetics. But even that song finds room for a minute-long instrumental passage featuring a bleating, almost atonal saxophone solo.

While the sounds are strange, uneasy, and almost queasy at times, the songs are light and fantastical. Despite not understanding the lyrics, which are mostly in Russian, it’s impossible not to get a sense of hope from them. Kate NV’s Room for the Moon is not a somber lunar lullaby, but the pleasant dreams of an innocent mind.

#Room #Moon #thrillingly #weird #experimental #popColumn,Entertainment,Music,Music Review

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