Scaling laws are empirical mathematical relationships that estimate how an AI model’s loss or capability changes as training compute, dataset size, or parameter count increases. Researchers use them to plan experiments, allocate resources, and forecast whether a larger training run is likely to deliver worthwhile improvement. The relationships often follow smooth power-law trends within a tested range, but they are not universal laws of intelligence. Architecture changes, data quality, evaluation choice, optimization, inference-time computation, and capability thresholds can alter the curve. Extrapolating far beyond observed evidence is risky, so scaling forecasts should include uncertainty and be revised as new model families and training methods appear.
Anthropic researchers used Claude Mythos Preview to develop stronger attacks on the HAWK post-quantum signature scheme and a reduced-round version of AES, demonstrating research-level cryptanalysis without threatening current production systems.
Economists warn AI’s biggest near-term danger may be fiscal: if it displaces high-earning workers, income-tax revenue could fall sharply while welfare costs rise, straining public budgets.
Google DeepMind says its new AlphaProof Nexus framework solved nine open Erdős problems using AI-guided formal verification, though CEO Demis Hassabis cautioned the system is still far from AGI.
Researchers at NTU Singapore have developed an AI-powered biochip that detects disease-linked microRNAs in minutes. The system could enable faster, more precise diagnostics.
Novo Nordisk is teaming up with OpenAI to use AI in drug discovery and development, aiming to speed up treatments for obesity and diabetes.
Anthropic has signed an agreement with the Australian government to collaborate on AI safety and research. The deal includes funding for scientific institutions and expanded use of Claude in healthcare and education.
A Sydney engineer used AI tools including ChatGPT and AlphaFold to help design a personalized mRNA cancer vaccine for his dog with help from university researchers. Early results show significant tumor shrinkage.
Anthropic has launched the Anthropic Institute to study the societal, economic, and governance challenges posed by advanced AI systems. The initiative will combine research from engineers, economists, and social scientists.
Researchers report that ChatGPT-5.2 Pro helped simplify and generalize a complex gluon scattering formula, with results presented at the AAAS annual meeting.
Google DeepMind has introduced AlphaGenome, a new AI model designed to analyze long DNA sequences and predict how genetic variations may influence disease development.