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The slopaganda era: 10 AI images posted by the White House - and what they teach us

The Guardian

May the 4th be with you The White House celebrates Star Wars Day. May the 4th be with you The White House celebrates Star Wars Day. Under Donald Trump, the White House has filled its social media with memes, wishcasting, nostalgia and deepfakes. Here's what you need to know to navigate the trolling I t started with an image of Trump as a king mocked up on a fake Time magazine cover. Since then it's developed into a full-blown phenomenon, one academics are calling "slopaganda" - an unholy alliance of easily available AI tools and political messaging.


Coca-Cola's secret recipe, revealed: Scientist claims to have cracked the 139-year-old mystery formula - and it's 99% SUGAR

Daily Mail - Science & tech

Trump suffers Minneapolis meltdown as president flinches at ICE shooting and aides panic: 'He doesn't like it' Heiress reveals cruel outbursts her hedge funder husband made after dumping her for younger woman while sheltering from Covid at $7.5m Martha's Vineyard compound America's biggest banks line up to bash Trump over his plot to cut credit card bills as they outline obvious problem Amy Schumer sent me these late-night texts when I last wrote about her. Sorry sweetie, truth hurts... here's what I think of you now! KENNEDY I've uncovered a seedy new dating red flag. So many men are at it... I can't believe I didn't spot the warning signs sooner: JANA HOCKING Major 6.0 magnitude earthquake strikes West Coast with shockwaves felt across major cities Taylor Swift and'defeated' Travis Kelce are facing'first real test' in their relationship... as insiders say'things are changing' What Trump's desire to buy Greenland may reveal about him... psychologist unpacks the president's personality Kate leaves fans stunned with her down-to-earth nature as she's spotted driving herself to glitzy reception at Windsor Castle Kylie Kelce makes raunchy reference to her and Jason's sex life after his post-NFL glow up Gene Hackman's Santa Fe mansion listed for over $6M one year after he died in the home with his wife Students were raped after being forced to live in complex alongside 125 refugees to'aid integration': Terrified Dutch youngsters'were subjected to years of sex assaults and violence' Bitter, past his best and seething with jealousy: Horrifying'insight' into mind of surgeon accused of killing ex-wife and her dentist spouse NFL team could be forced to move over wild conspiracy theory as players' fears mount Dementia is NOT inevitable: scientists reveal how MILLIONS of cases can be prevented as they unveil a'roadmap' to beat the disease Trump threatens tariffs over Greenland if allies don't play ball: 'We need it' Titanic star with a link to Clint Eastwood emerges on rare outing in LA can you guess who she is? Karoline Leavitt takes vicious swipe at Supreme Court over bombshell hearing on trans athletes in women's sport I freaked out when my toddler dropped her baby sister... it ended up saving her life Renee Good's last moments revealed as woman suffered FOUR gunshot wounds during deadly clash with ICE Baseball is'DEAD', claim livid fans as free-spending Dodgers sign new star player to take payroll over $2 BILLION Coca-Cola's secret recipe, revealed: Scientist claims to have cracked the 139-year-old mystery formula - and it's 99% SUGAR READ MORE: Food scientist reveals why McDonald's Coke tastes better The Coca-Cola recipe is one of the world's most closely guarded trade secrets - but it may not be secret for much longer.


"Mountainhead" Channels the Absurdity of the Tech Bro

The New Yorker

Four tech billionaires walk into a mansion. It sounds like the setup for a punch line, but it also forms nearly the entire conceit behind "Mountainhead," a savagely entertaining but somewhat shallow new satire written and directed by Jesse Armstrong, the creator of "Succession." The film, which is streaming on HBO's Max, is a sort of chamber play, its stage a modernist castle in Utah--the Mountainhead of the title--overlooking snowy peaks. The players are a quartet of friends, or, more accurately, frenemies, who resemble a mishmash of real-world Silicon Valley founders. Steve Carell plays Randall Garrett, the group's Peter Thiel-esque mentor who, not unlike the late Steve Jobs, has cancer that his doctor tells him is incurable.


The Creator of em Succession /em Is Back With a Movie. There's a Reason He Rushed to Make It Right Away.

Slate

Outside an opulent retreat in the mountains of Utah, the world is going to hell. Thanks to disinformation-spreading tools on the world's largest social media platform, people are being executed by bloodthirsty mobs and machine-gunned by their neighbors, politicians assassinated and governments crumbling. But inside Mountainhead, the billionaire tech moguls responsible for the chaos are smoking cigars and shooting the breeze, debating whether the eruption of global chaos is a crisis to be managed or a surge of "creative destruction" that will help usher humanity into a brighter future. If the fictional setting of Mountainhead, the debut feature by Jesse Armstrong, seems a little too close to reality, that's because it's meant to be. The movie, which stars Steve Carell, Jason Schwartzman, Ramy Youssef, and Cory Michael Smith, was conceived, written, cast, shot, edited, and released in about six months, an astonishingly short timeline for any director, let alone a first-timer.


The New Movie From the Creator of em Succession /em Is Less a Satire Than a Documentary

Slate

For the quartet of tech billionaires in Jesse Armstrong's Mountainhead, ideas are so powerful that nothing else seems real. Holed up in a resplendent snowy retreat built by meditation-app developer Hugo Van Yalk (Jason Schwartzman), they're glued to their phones as the outside world is erupting into chaos, thanks in no small part to the wildfire spread of A.I. deepfakes on the social media platform owned by the world's richest man, Venis Parish (Cory Michael Smith). People in Gujarat are being burned alive after being falsely accused of desecrating religious symbols, and Midwestern Americans are machine-gunning each other over minor disagreements, but for these four men, the widespread devastation is in some ways proof of concept that they're as important as they believe themselves to be. And besides, those bodies going up in flames are just images on a tiny screen, so distant they might as well be theoretical. As he trudges through the snow with Randall (Steve Carell), the venture capitalist who serves as the group's self-appointed philosopher king, Venis asks him, "Do you … believe in other people?"


The Real Life Tech Execs That Inspired Jesse Armstrong's Mountainhead

TIME - Tech

Jesse Armstrong loves to pull fictional stories out of reality. His universally acclaimed TV show Succession, for instance, was inspired by real-life media dynasties like the Murdochs and the Hearsts. Mountainhead, which releases on HBO on May 31 at 8 p.m. ET, portrays four top tech executives who retreat to a Utah hideaway as the AI deepfake tools newly released by one of their companies wreak havoc across the world. As the believable deepfakes inflame hatred on social media and real-world violence, the comfortably-appointed quartet mulls a global governmental takeover, intergalactic conquest and immortality, before interpersonal conflict derails their plans. Armstrong tells TIME in a Zoom interview that he first became interested in writing a story about tech titans after reading books like Michael Lewis' Going Infinite (about Sam Bankman-Fried) and Ashlee Vance's Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future, as well as journalistic profiles of Peter Thiel, Marc Andreessen, and others. He then built the story around the interplay between four character archetypes--the father, the dynamo, the usurper, and the hanger-on--and conducted extensive research so that his fictional executives reflected real ones.


It's the End of the World (And It's Their Fault)

The Atlantic - Technology

It's late morning on a Monday in March and I am, for reasons I will explain momentarily, in a private bowling alley deep in the bowels of a 65 million mansion in Utah. Jesse Armstrong, the showrunner of HBO's hit series Succession, approaches me, monitor headphones around his neck and a wide grin on his face. "I take it you've seen the news," he says, flashing his phone and what appears to be his X feed in my direction. Everyone had: An hour earlier, my boss Jeffrey Goldberg had published a story revealing that U.S. national-security leaders had accidentally added him to a Signal group chat where they discussed their plans to conduct then-upcoming military strikes in Yemen. "Incredibly fucking depressing," Armstrong said.


Practice Makes Perfect: A Study of Digital Twin Technology for Assembly and Problem-solving using Lunar Surface Telerobotics

O'Keefe, Xavier, McCutchan, Katy, Muniz, Alexis, Burns, Jack, Szafir, Daniel

arXiv.org Artificial Intelligence

Robotic systems that can traverse planetary or lunar surfaces to collect environmental data and perform physical manipulation tasks, such as assembling equipment or conducting mining operations, are envisioned to form the backbone of future human activities in space. However, the environmental conditions in which these robots, or "rovers," operate present challenges towards achieving fully autonomous solutions, meaning that rover missions will require some degree of human teleoperation or supervision for the foreseeable future. As a result, human operators require training to successfully direct rovers and avoid costly errors or mission failures, as well as the ability to recover from any issues that arise on-the-fly during mission activities. While analog environments, such as JPL's Mars Y ard, can help with such training by simulating surface environments in the real world, access to such resources may be rare and expensive. As an alternative or supplement to such physical analogs, we explore the design and evaluation of a virtual reality digital twin system to train human teleoperation of robotic rovers with mechanical arms for space mission activities. We conducted an experiment with 24 human operators to investigate how our digital twin system can support human teleoperation of rovers in both pre-mission training and in real-time problem solving in a mock lunar mission in which users directed a physical rover in the context of deploying dipole radio antennas. We found that operators who first trained with the digital twin showed a 28% decrease in mission completion time, an 85% decrease in unrecoverable errors, as well as improved mental markers, including decreased cognitive load and increased situation awareness.


'Superforecaster' says World War III is about to begin and US will 'collapse by 2032'

Daily Mail - Science & tech

A controversial'superforecaster' has predicted that World War III is about to begin, while will lead to the collapse of the US by 2032. Martin Armstrong has made the stark claims using AI-powered computer named'Socrates' that he programed to monitors the world news feeds and looks for fundamental news events that correlate behind the global trends. Armstrong, who used Socrates to predict Japan's 1989 real estate crash and Russia's 1998 financial crisis, now believes the current conflict in Ukraine will cascade into a wider international conflict, based on the latest data analysis. 'I think it's the only real artificial intelligence system in the world,' the infamous, self-taught economic modeler told DailyMail.com. Armstrong created the AI program out of a desire to write software that could automate hedge fund trading back in the 1970s and '80s.


Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach

Arabpour, Reza, Armstrong, John, Galimberti, Luca, Kratsios, Anastasis, Livieri, Giulia

arXiv.org Artificial Intelligence

Predicting the conditional evolution of Volterra processes with stochastic volatility is a crucial challenge in mathematical finance. While deep neural network models offer promise in approximating the conditional law of such processes, their effectiveness is hindered by the curse of dimensionality caused by the infinite dimensionality and non-smooth nature of these problems. To address this, we propose a two-step solution. Firstly, we develop a stable dimension reduction technique, projecting the law of a reasonably broad class of Volterra process onto a low-dimensional statistical manifold of non-positive sectional curvature. Next, we introduce a sequentially deep learning model tailored to the manifold's geometry, which we show can approximate the projected conditional law of the Volterra process. Our model leverages an auxiliary hypernetwork to dynamically update its internal parameters, allowing it to encode non-stationary dynamics of the Volterra process, and it can be interpreted as a gating mechanism in a mixture of expert models where each expert is specialized at a specific point in time. Our hypernetwork further allows us to achieve approximation rates that would seemingly only be possible with very large networks.