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Prime Minister Anthony Albanese will announce the establishment of an Office of AI within the Department of Prime Minister and Cabinet to coordinate a national framework for artificial intelligence, ending the government…
New York Gov. Kathy Hochul signed an executive order Tuesday imposing a one-year moratorium on new building permits for hyperscale data centers, making New York the first state to freeze construction of AI data centers. …
New York Gov. Kathy Hochul signed an executive order Tuesday enacting a statewide moratorium on hyperscale data centers requiring 50 megawatts or more of power, halting new development until July 2027 while state regulat…
New York State has imposed a one-year moratorium on the construction of large hyperscale data centres, becoming the first US state to do so, amid concerns over rising costs and water supply impacts. Governor Kathy Hochul…
The Mechanistic Interpretability Workshop's program chairs found that AI-generated content is flooding submissions, with submissions more than doubling between each iteration from 143 in 2024 to 320 in 2025 to 801 in 202…
A global wave of regulatory pushback is restricting data center construction in New York, Amsterdam, Dublin, and other cities, driven by concerns over electricity grid strain, water scarcity, and land use conflicts amid …
Anthropic, the AI company behind Claude, released a commercial created by Mother London that juxtaposes tough questions about AI trust, job loss, and societal impact with optimistic visions of the technology's potential.…
New York Gov. Kathy Hochul signed Tuesday an executive order establishing a temporary moratorium on new data centers that consume 50 megawatts or more of power, making New York the first state in the nation to impose a s…
A new benchmark called the Ramanujan Challenge for AI, presented by researchers on arXiv, offers a set of formulas for fundamental mathematical constants such as π, e, Catalan's constant, and special values of the Rieman…
Researchers at Stagira Labs propose synthetic scalable oversight, a technique that creates graphical abstractions of real-world problems to train tiny models as proxies for evaluating oversight protocols at scale, aiming…
A new paper on arXiv proposes Boltzmann MapReduce, a framework that interprets the reduce step in MapReduce as a partition function of Boltzmann factors, enabling precision-weighted pooling of worker outputs. The method …
A new training framework called SAIL (Standardized Agentic Intelligence Ledger), designed by AI licensing platform Next Net in partnership with Sundial Media & Technology Group, aims to compensate publishers when AI scra…
Annapurna Interactive's D-topia, developed by Japanese studio Marumittu Games, asks whether AI can deliver a better future for humanity, but its moral quandaries are undermined by clearly signposted choices and a lack of…
A new audit of distributional reinforcement learning agents finds that 40-95% of the strongest claimed risk trade-offs are refuted at 95% confidence across QR-DQN, C51, and IQN on MinAtar, with essentially no claim confi…
A new mechanistic interpretability study from researchers finds that LLM-as-judge scoring bias has a geometric representation in the model's hidden state, enabling causal control and operational prediction. Across seven …
A new study from researchers presenting MCPZoo, the largest collection of 64,611 unique Model Context Protocol (MCP) servers for dynamic analysis, finds that existing security scanners are unreliable: while scanners repo…
Researchers have developed modelDNA, a tool that verifies the lineage of open-weight large language models by fingerprinting a model from roughly 100-300 MB of ranged HTTP reads and comparing it against a reference datab…
Researchers introduce GEPA (Genetic-Pareto), a prompt optimizer that uses natural language reflection to learn from trial and error, outperforming reinforcement learning methods like GRPO by 6% on average and up to 20% w…
VRAM capacity and memory bandwidth, not AI TOPS, are the decisive specs for local LLM inference in mid-2026, according to an analysis by Ji-ho Choi. NVIDIA's RTX 5090 leads with 32 GB VRAM and 1792 GB/s bandwidth, while …
A study comparing Turbo-Quant and SpectralQuant KV-cache compression found that eigenbasis-based methods fail on heavy-tailed data due to covariance instability but excel in structured regimes, with the effective semanti…