Toggle light / dark theme

Washington State University scientists have developed genetically engineered mice that could help accelerate anti-aging research.

Globally, researchers are striving to unlock the secrets of extending human lifespan at the cellular level, where aging occurs gradually due to the shortening of telomeres—the protective caps at the ends of chromosomes that function like shoelace tips, preventing unraveling. As telomeres shorten over time, cells lose their ability to divide for healthy growth, and some eventually begin to die.

However, studying telomeres at the cellular level has been challenging in humans.

As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tracking the emergence of goals and values has proven a longstanding problem, and despite much interest over the years it remains unclear whether current AIs have meaningful values. We propose a solution to this problem, leveraging the framework of utility functions to study the internal coherence of AI preferences. Surprisingly, we find that independently-sampled preferences in current LLMs exhibit high degrees of structural coherence, and moreover that this emerges with scale. These findings suggest that value systems emerge in LLMs in a meaningful sense, a finding with broad implications. To study these emergent value systems, we propose utility engineering as a research agenda, comprising both the analysis and control of AI utilities. We uncover problematic and often shocking values in LLM assistants despite existing control measures. These include cases where AIs value themselves over humans and are anti-aligned with specific individuals. To constrain these emergent value systems, we propose methods of utility control. As a case study, we show how aligning utilities with a citizen assembly reduces political biases and generalizes to new scenarios. Whether we like it or not, value systems have already emerged in AIs, and much work remains to fully understand and control these emergent representations.

Researchers at the Institute of Science and Technology in Austria (ISTA) have achieved a major milestone in quantum computing after obtaining a complete optical readout of superconducting qubits.

This will help in building scalable quantum computers that are robust, operate at room temperature, and at a much lower cost, a press release said.

Quantum computers are the next frontier of computing, allowing calculations to occur at exponential rates compared to classical computers.

Researchers have developed a novel experimental platform to measure the electric fields of light trapped between two mirrors with a sub-cycle precision.

These electro-optic Fabry-Pérot resonators will allow for and observation of light-matter interactions, particularly in the terahertz (THz) spectral range. The study is published in the journal Light: Science & Applications.

The researchers are from the Department of Physical Chemistry at the Fritz Haber Institute of the Max Planck Society and the Institute of Radiation Physics at Helmholtz Center Dresden-Rossendorf.