Frontier AI
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Zero knowledge verification for frontier AI training is possible
arXiv:2606.05433v1 Announce Type: new Abstract: Frontier AI governance frameworks increasingly use cumulative training compute as the primary criterion for designating high-impact models, but enforcement rests on self-reporting because no technical verification primitive for training exists. Any future international agreement on frontier AI faces the same problem at higher stakes: coordinated regulation of technologies with significant externalities has historically rested on technical...
How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI
arXiv:2602.00056v4 Announce Type: replace Abstract: Large-scale data has fuelled the success of frontier artificial intelligence (AI) models over the past decade. This expansion has relied on sustained efforts by large technology corporations to aggregate and curate internet-scale datasets. In this work, we examine the environmental, social, and economic costs of large-scale data in AI through a sustainability lens.
Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models
arXiv:2606.07157v1 Announce Type: new Abstract: Many efforts to ensure frontier AI models are safe rely on monitoring their chain-of-thought (CoT) reasoning. If models become able to perform sufficiently complex reasoning internally, without explicit thinking tokens, this would undermine such oversight. We measure how well frontier models reason without CoT across a suite of over 30,000 questions spanning 43 benchmarks in domains including math, coding, puzzles, causality, theory-of-mind,...
Palantir's Karp says businesses are 'unhappy' with the frontier AI labs
Palantir CEO Alex Karp said the artificial intelligence software company's enterprise customers are "unhappy" with how the frontier labs are operating. "It's not just the man and woman on the street that is unhappy with the frontier labs, it's in private every single enterprise we deal with," he told CNBC's Sara Eisen on Wednesday. Many customers, he said, believe these companies don't understand their businesses and only care about tokenmaxxing, or burning through AI tokens to signal...
Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
arXiv:2606.05661v1 Announce Type: new Abstract: Continual learning, the ability of AI systems to improve through sequential experience, has attracted substantial interest, but no high-quality benchmark exists to evaluate it. We introduce Continual Learning Bench (CL-Bench), the first difficult, expert-validated benchmark designed to measure whether LLM-based systems genuinely improve with experience.
The Bank, FCA and HM Treasury joint statement on Frontier AI models and cyber resilience
Statement from the Bank of England, Financial Conduct Authority and HM Treasury
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
Announce Type: replace Abstract: AI-based weather forecasting now rivals traditional physics-based ensembles, but state-of-the-art (SOTA) models rely on specialized architectures and massive computational budgets, creating a high barrier to entry. We demonstrate that such complexity is unnecessary for frontier performance. We introduce \ours, a probabilistic forecaster built on a standard U-Net backbone trained with a simple recipe: deterministic pre-training on Mean Absolute Error followed...
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
Announce Type: replace-cross Abstract: AI-based weather forecasting now rivals traditional physics-based ensembles, but state-of-the-art (SOTA) models rely on specialized architectures and massive computational budgets, creating a high barrier to entry. We demonstrate that such complexity is unnecessary for frontier performance. We introduce \ours, a probabilistic forecaster built on a standard U-Net backbone trained with a simple recipe: deterministic pre-training on Mean Absolute Error...
AI Sovereignty: A Qualitative Model of Strategic Competition as AI Becomes an Instrument of National Power
arXiv:2606.07245v1 Announce Type: new Abstract: AI sovereignty is the extent to which a nation independently controls its artificial intelligence (AI) technologies. The race toward ever-more-sophisticated frontier AI models is of increasing strategic importance, with nations considering how AI might improve their economic situations, competitive advantage, and overall national power. However, the costs of AI sovereignty are enormous, and we lack definitions and conceptual models to navigate...