Man Uses AI to Construct Nuclear Reactor In Kitchen

𝕏 User HudZah successfully built a neutron-producing nuclear fusor in his kitchen over a 36-hour livestream, aided by Claude AI. This marks his first hardware project, and the setup included components reminiscent of a 30kV electrostatic precipitator, a vacuum system 253,333 times more efficient than atmospheric pressure, and a bubble counter for neutron detection.

HudZah also electrolyzed deuterium from heavy water using a automobile electrolysis tool and stored the gas in a syringe, all at a fraction of typical costs. The project was driven by Claude Projects, which provided detailed documentation, debugging assistance, and safety guidance. HudZah used AI throughout to navigate complex assembly tasks and wiring. His journey began with an indication at a coworking session, where the initial concept evolved right into a full-scale working fusor in a remarkably short time. Read more.

OpenAI is reportedly on the cusp of introducing “Ph.D.-level super-agents,” AI systems designed to navigate complex, multi-layered challenges with near-expert precision. These agents promise to integrate massive datasets, evaluate trade-offs, and produce actionable results, blurring the road between automation and mental labour.

OpenAI’s CEO Sam Altman, is about to transient U.S. officials on 30 January, discussing these advancements alongside AI’s role in economic restructuring as outlined in the corporate’s recent blueprint. Altman has described this era because the “Intelligence Age,” contingent on substantial infrastructure expansion. Despite excitement, skepticism stays in regards to the practical readiness of those agents, with potential implications for trust and widespread adoption.

Nonetheless, in a brand new development, Altman sought to temper growing speculation about artificial general intelligence (AGI) development, urging followers to “chill and cut expectations 100x.” He clarified that OpenAI has neither achieved AGI nor plans to deploy it imminently, despite recent advances.

This comes amid mixed signals from OpenAI researchers, with Noam Brown cautioning against vague AI enthusiasm while emphasizing unresolved research challenges. Meanwhile, Stephen McAleer’s earlier comments hinted at progress toward artificial superintelligence (ASI), sparking further conjecture. While OpenAI stays on the forefront of AI research, Altman stressed that breakthroughs are incremental, not epochal, and advised patience as researchers navigate uncharted territory. Read more.

Runway has launched Frames, a cinematic-focused text-to-image generator tailored for skilled creative work. The tool, which builds on Runway’s expertise in AI video models, provides high stylistic control and precision, making it ideal for editorial, art direction, pre-visualization, and brand development.

Users can generate still images with Frames and quickly transform them into video using Runway’s image-to-video models. Offering 19 preset visual styles—starting from “Vivid Warm” to “Terracotta”—Frames is designed for consistency and suppleness, allowing users to create detailed, customized worlds. While focused on creative professionals, the model also incorporates safety features, including content moderation and watermarking for provenance tracking. Read more.

Researchers at UC San Diego have developed ExBody2, an AI system enabling humanoid robots to mirror human movements with enhanced fluidity. Trained on a database of motion capture recordings, ExBody2 learns a big selection of actions—from basic walking to complex dance routines. Using reinforcement learning, the AI first simulates movement in a virtual environment before adapting to real-world data, reminiscent of joint measurements and sensor readings.

Upon completion of its training, ExBody2 demonstrated the flexibility to regulate business humanoid robots, executing complex tasks like waltzing, dancing, and throwing punches. This breakthrough significantly enhances robotic coordination, offering the potential for humanoid robots to perform a broader array of human-like movements. Read more.