American digital artist Beeple, whose legal name is Mike Winkelmann, has opened an interactive installation at Berlin’s Neue Nationalgalerie featuring robot dogs fitted with hyper-realistic silicone heads modeled after some of the most recognizable figures in technology and cultural history. The dogs roam freely through the museum, carrying the likenesses of Elon Musk, Mark Zuckerberg, Jeff Bezos, Andy Warhol, and Pablo Picasso – as well as a head modeled after Beeple himself.

The work, entitled “Regular Animals”, was first shown at Art Basel Miami Beach in 2025 and is now on extended display in Berlin.

How the Installation Works

Each robot dog is equipped with integrated cameras that continuously capture images of its surroundings as it moves through the gallery. Those images are processed by AI and periodically printed – with the output filtered through the personality or aesthetic worldview of the figure each dog represents. The Picasso dog produces images in Cubist style. The Warhol dog outputs in pop art. The technology billionaire dogs reinterpret their surroundings through AI models conditioned on each figure’s public identity and worldview.

The printing mechanism is deliberately unglamorous: the dogs occasionally stop and produce the images in a manner the artist and press have described as defecating. The choice of delivery method is part of the work’s visual language.

The Commentary Behind the Hardware

Beeple has been direct about the installation’s intent. “In the past, our view of the world was shaped in part by how artists saw the world,” he told the Associated Press. “How Picasso painted changed how we saw the world, how Warhol talked about consumerism, pop culture, that changed how he saw those things.”

The figures who shape perception now, he argues, are not artists but technology executives controlling algorithmic platforms that determine what billions of people see and do not see. “That’s an immense amount of power that I don’t think we’ve fully understood, especially because when they want to make a change, they don’t need to lobby the U.N. They don’t need to get something through Congress or the EU – they just wake up and change these algorithms.”

By placing those figures’ faces on quadruped robots – hardware associated with surveillance, industrial automation, and military research – the installation draws a connection between algorithmic power and physical AI systems that is rarely made this explicitly in a public cultural setting.

Lisa Botti, the exhibition’s curator, said artificial intelligence is among the phenomena most significantly affecting daily life and that museums are the appropriate spaces for society to examine such shifts. Beeple, according to Christie’s, is the third most expensive living artist to sell at auction, after David Hockney and Jeff Koons.

Artificial Intelligence (AI), News, Robots & Robotics

Shenzhen-based startup Kinetix AI held its GIFTED press conference on April 26 to unveil KAI, a full-sized humanoid robot designed for service and home assistance applications. The company, also operating as Kai Robotics, was founded by veterans of the original R&D team behind the XPENG Iron humanoid. KAI is targeting a sub-$40,000 price point and mass production in late 2026.

The platform’s specifications are ambitious across hardware, sensing, and AI architecture – though the gap between laboratory demonstration and reliable real-world deployment remains the central challenge the company will need to close before commercial scale is achievable.

115 Degrees of Freedom

The most distinctive technical claim is KAI’s 115 degrees of freedom across the full body – a figure substantially higher than the 20 to 45 DoF typical of most contemporary humanoid platforms. The articulation range includes shoulder movement, torso flexion to 75 degrees, and neck rotation across a 65-degree range, giving the robot a range of motion intended to closely approximate human flexibility.

The hands are the most mechanically complex element. Each features 36 DoF – 22 active and 14 passive joints. The passive joints act as mechanical buffers, allowing the hand to conform to objects and absorb impact forces without requiring immediate computational response. The company describes this as a safety feature for domestic use, where contact with objects and people is frequent and unpredictable.

Tactile Sensing and Battery Safety

KAI is covered in a synthetic tactile skin containing 18,000 sensing points capable of detecting forces as light as 0.1 newtons. The system enables what Kinetix AI calls haptic-aware manipulation – the ability to modulate grip force and contact behavior based on real-time pressure feedback across the robot’s surface.

Power is supplied by a 1.7 kWh semi-solid-state battery, a chemistry choice that reduces thermal runaway risk compared to conventional lithium-ion packs. The selection mirrors a broader trend among Chinese humanoid manufacturers, including XPENG Robotics, toward safer battery architectures for robots operating in proximity to people.

Data Strategy and AI Architecture

KAI’s intelligence layer is built around what Kinetix AI calls the KAI World Model, a closed-loop architecture comprising Base, Action, and Evaluation modules. The system is designed to predict environmental changes and assess the safety of candidate movement trajectories before executing them – a simulation-before-action approach that parallels techniques used across physical AI development more broadly.

To address the data scarcity problem that constrains most humanoid AI training, Kinetix AI developed the KAI Halo, a lightweight head-mounted device worn by human operators during normal daily routines. The device captures first-person video, body pose, and environmental point cloud data, generating training data from natural human behavior rather than structured motion-capture sessions. The company argues that this approach produces a more diverse and naturalistic dataset than traditional capture methods.

Market Positioning and the Reliability Question

KAI is positioned as a general-purpose helper for retail, concierge, and home assistance roles rather than heavy industrial applications. The sub-$40,000 target price is designed to be competitive within a segment where most platforms remain either significantly more expensive or more narrowly capable.

The architecture’s complexity – 115 DoF, 18,000 sensors, semi-solid-state batteries – introduces significant engineering challenges in maintaining system reliability outside laboratory conditions. XPENG’s own robotics leadership has publicly identified hardware reliability, including signal disconnection and mechanical failure rates, as a primary bottleneck for the industry. Whether KAI’s high-DoF design can sustain stable performance in the unstructured environments it targets will determine whether the platform reaches commercial deployment on its stated timeline.

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