Olivia Williams Advocates for ‘Nude Rider’ Style Regulations for AI Body Scanning in Acting

In light of rising apprehensions regarding the effects of artificial intelligence on performers, actress Olivia Williams emphasized that actors should handle data obtained from body scans similarly to how they approach nude scenes.

The star of Dune: Prophecy and The Crown stated that she and fellow actors often face mandatory body scans by on-set cameras, with scant assurances on the usage and destination of that data.

“It would be reasonable to adhere to the ‘Nude Rider’ standard,” she noted. “This footage should only be used within that specific scene; it must not be repurposed elsewhere. Furthermore, any edited scenes must be removed across all formats.”

Williams drew attention to a vague provision in contracts that seems to grant studios extensive rights to use images of performers “on every platform currently existing or created in the future worldwide, indefinitely.”

A renewed conversation about AI’s impact on actors has been ignited by widespread criticism of the development of an AI performer named Tilly Norwood. Actors fear their likenesses and poses will be utilized to train AI systems, potentially threatening their employment.

Actors, stunt performers, dancers, and supporting actors relayed to the Guardian that they felt “ambushed” and compelled to participate in body scans on set. Many reported there was little time to discuss how the generated data would be handled or whether it could be used for AI training purposes.

Ms. Williams recounted her unsuccessful attempts to eliminate the ambiguous clause from her contract. She explored options for obtaining a limited license to control her body scan data, but her lawyer advised her that the legal framework was too uncertain. The costs of trying to reclaim the data were prohibitively high.

“I’m not necessarily looking for financial compensation for the use of my likeness,” she remarked. “What concerns me is being depicted in places I’ve never been, engaging in activities I’ve never done, or expressing views I haven’t shared.”

“Laws are being enacted, and no one is intervening. They’re establishing a precedent and solidifying it. I sign these contracts because not doing so could cost me my career.”

Williams expressed that she is advocating for younger actors who have scant options but to undergo scans without clear information regarding the fate of their data. “I know a 17-year-old girl who was encouraged to undergo the scan and complied, similar to the scene from Chitty Chitty Bang Bang. Being a minor, a chaperone was required to consent, but her chaperone was a grandmother unfamiliar with the legal implications.”

The matter is currently under discussion between Equity, the UK performing arts union, and Pact, the trade body of the UK film industry. “We are urging for AI safeguards to be integrated into major film and television contracts to prioritize consent and transparency for on-set scanning,” stated Equity Executive Director Paul W. Fleming.

“It is achievable for the industry to implement essential minimum standards that could significantly transform conditions for performers and artists in British TV and film.”

Pact issued a statement saying: “Producers are fully aware of their responsibilities under data protection legislation, and these concerns are being addressed during collective negotiations with Equity. Due to the ongoing talks, we are unable to provide further details.”

Source: www.theguardian.com

The groundbreaking physics of the Large Hadronco Rider: Unveiling the ultimate fate of the universe

The upcoming director of CERN stated that advanced artificial intelligence is revolutionizing basic physics and opening windows for the fate of the universe.

Professor Marktomson, a British physicist who will take on the leadership at CERN on January 1, 2026, envisions progress in particle physics comparable to the AI-driven prediction of protein structure that recently won Google Deepmind Scientists an award. Speculations suggest a potential Nobel Prize in October.

With the Large Hadron Collider (LHC) playing a key role, there is hope to unravel how particles obtained mass at the moment of the Big Bang and whether our universe is extraordinary. Professor Marktomson mentioned the adoption of a similar strategy to potentially avert a catastrophic collapse event.

Tomson emphasized, “These are not just incremental improvements, but rather significant strides achieved by embracing cutting-edge techniques.”

He also added, “The field will undergo a transformative change. Dealing with complex data like protein folding presents intricate challenges, and employing advanced AI technologies can lead to breakthroughs.”

CERN’s council anticipates a promising future with revolutionary advancements. Despite skepticism following the groundbreaking Higgs boson discovery in 2012, Professor Thomson believes that AI brings a fresh perspective to explore new frontiers in physics. The enhanced beam strength of LHC is expected to enable unprecedented observations of the Higgs boson, also known as the “God particle,” shedding light on other particles and the universe at large.

There is a particular focus on measuring the Higgs boson’s self-coupling, which plays a critical role in understanding how particles acquire mass and the evolution of the Higgs field post-Big Bang. Higgs’ self-coupling strength is crucial for determining the stability of the Higgs field and potential future transitions.

Skip past newsletter promotions

Dr. Matthew McCallow, a theoretical physicist at CERN, emphasized that the exploration of Higgs’ self-coupling is significant for advancing our understanding of the universe’s fundamental characteristics. Integrating AI into LHC operations has streamlined data collection and interpretation processes, enabling faster decision-making for experiments like the LHC ATLAS project.

Scientists have long sought to uncover dark matter using the LHC, considering it comprises a significant portion of the universe. With AI’s assistance, researchers hope to untangle this mystery. Thomson remarked, “AI allows us to pose more intricate and open-ended queries rather than merely searching for specific signals, hoping to uncover unexpected insights within the data.”

Source: www.theguardian.com

Review: Lonely Mountains: Snow Rider Offers an Exciting Skiing Challenge with Some Thrilling Twists

I was captivated by Lonely Mountains: Downhill, a simplistic mountain biking game that was released in 2019. obsessed I played those tracks repeatedly until I mastered the art of braking, skidding a tire on a rock, getting stuck in a tire and being flung off, speeding down a straight path, and carefully navigating over ledges. Like a Lycra-clad mountain goat. The serene soundtrack of chirping birds and rustling leaves (occasionally interrupted by the harsh thud of riders colliding with rocks) made the experience very soothing for me. However, what truly drew me in was the Zen-like focus required to descend the mountain, speeding down without crashing 300 times. I honed my skills to perfection, finely tuning my trajectory to make the difference between cutting a second off my run and veering off track, leading to a crumpled heap.

For years, I had eagerly anticipated the release of a snow sports-themed sequel. Instead of sun, rocks, and dirt, there was now glistening snow, and bicycles were replaced with skis. It seemed unbelievable at first, but after a few initial runs on the snowy mountains, I humbly realized I had a lot to learn. I struggled with turns while applying the brakes, found myself sliding backward on hills, constantly bumped into trees, missed jumps, and tumbled across frozen lakes in confusion. The challenges in each course seemed daunting, and my first multiplayer race was a humiliating experience.




Just you and nature…single player mode. Photo: Megagon Industries

However, after a few hours of practice, I found myself gracefully carving through more challenging courses while immersing myself in the soothing sounds of snow. Achieving a seamless run down the mountain, with the wind in my ears, felt exhilarating. But when I missed a turn and ended up in a ditch, the enchantment was quickly shattered, prompting me to return to the checkpoint and start over.

This rhythm of triumph and failure still resonates with me in Lonely Mountains: Snow Riders. The minimalist soundscape, visually stunning representation of natural landscapes, and the sense of achievement from conquering a course remain as captivating as ever. While there are areas that could be improved, such as adding more customization options for the skier, the high difficulty from the start and precise controls pose challenges for new players in progressing through the mountain. Additionally, the introduction of multiplayer racing and team skiing comes with its own set of drawbacks.

Currently, the multiplayer aspect is plagued by technical issues shortly after release. When multiple players appear on screen at once, such as at the start of a race, the game experiences shaking or freezing temporarily. In a game where every millisecond counts, losing control, even momentarily, can make it unbearable to play. I encountered crashes while loading courses, got kicked out of multiplayer games, and saw other players mysteriously lose connection. While these issues may be addressed by developers in the future, for now, they remain a hindrance to the overall experience. The core problem lies in the wide variability of player skill levels.

In an 8-player race, 3 participants may swiftly descend the mountain within 3-4 minutes, while others take considerably longer. Once you cross the finish line, you can either skate aimlessly or watch lower-ranked players struggle in the same section repeatedly. This can be disheartening, especially if you happen to be the unlucky last player.




Massive Freeze…Multiplayer options need fixing. Photo: Megagon Industries

The team mode requires cooperation to navigate mountains, set checkpoints, and revive fallen players, but the concept seemed lost on the players I encountered. I found myself descending the mountain like a medic while others raced past me, eventually regrouping at base camp with players who seemed content to linger. Thank you all for your company and assistance!

Lonely Mountains: Snow Riders is now available for £20.99

Source: www.theguardian.com