“The article's core focuses on the application of LLMs in access control policy retrieval, suggesting a novel perspective on security.”

“The Philippines is concerned about Grok's ability to generate content, including potentially risky content for children.”

“Research by AI start-up suggests productivity gains from the technology unevenly spread around world”

“Google's new Gemini offer is a game-changer — make sure you understand the risks.”

“N/A - The article is a link to a discussion, not a primary source with a direct quote.”

“Personal Intelligence is off by default, as users have the option to choose if and when they want to connect their Google apps to Gemini.”

“Music and audio that is generated wholly or in substantial part by AI is not permitted on Bandcamp.”

“"So first off - there is not going to be any GenAI art in Divinity,"”

“Grok is undressing anyone”

“submitted by /u/Well_Socialized”

“By reducing propagation steps in LLM deployments, MetaJuLS contributes to Green AI by directly reducing inference carbon footprint.”

“世の中の「AI セキュリティガイドライン」の多くは、自社開発企業や、単一の組織内での運用を前提としています。(Most "AI security guidelines" in the world are based on the premise of in-house development companies or operation within a single organization.)”

“So I’m dumb, and sent some explicit imagery to ChatGPT… I’m just curious if that data is there forever now and can be traced back to me. Like if I hold public office in ten years, will someone be able to say “this weirdo sent a dick pic to ChatGPT”. Also, is it an issue if I blurred said images so that it didn’t violate their content policies and had chats with them about…things”

“The South Korean government funded the Sovereign AI Foundation Model Project, and the five selected teams released their initial models and presented on December 30, 2025. ... all 5 teams "presented robust open-source policies so that foundation models they develop and release can also be used commercially by other companies, thereby contributing in many ways to expansion of the domestic AI ecosystem, to the acceleration of diverse AI services, and to improved public access to AI."”

“Choice Policy significantly outperforms diffusion policies and standard behavior cloning.”

“Financial incentives increase daily steps, whereas charitable incentives deliver a precisely estimated null.”

“The paper provides the first non-vacuous guarantees in high-dimensional sparse MDPs with single-policy concentrability coverage and corruption, showing that learning a near-optimal policy remains possible in regimes where traditional robust offline RL techniques may fail.”

“The framework delivers a 3x increase in task processing speed over single-agent baselines, 98.7% structural/style consistency in writing, and a 74.6% test pass rate in coding.”

“”

“Analyzing 1.4 million customer transactions across seven markets, our approach reduces false positive and false negative rates to 4.64% and 11.07%, substantially outperforming single-institution models. The framework prevents 79.25% of potential losses versus 49.41% under fixed-rule policies.”

“BLVSPs used GenAI for many software development tasks, resulting in benefits such as increased productivity and accessibility. However, significant costs were also accompanied by GenAI use as they were more vulnerable to hallucinations than their sighted colleagues.”

“The paper proves the existence of an optimal closed-loop policy for the original MFTG when the state spaces are at most countable and the action spaces are general Polish spaces.”

“The WiYH Dataset features over 1,000 hours of multi-modal manipulation data across hundreds of skills in diverse real-world scenarios.”

“The paper develops a general and computationally tractable framework for computing sharp bounds on the effects of counterfactual policies.”

“Most educators had only basic or limited knowledge of AI (80.3%), but showed a strong interest in its application, particularly for the creation of interactive content (80.6%), lesson planning (80.2%), and personalized assessment (68.6%).”

“DDSPO directly derives per-timestep supervision from winning and losing policies when such policies are available. In practice, we avoid reliance on labeled data by automatically generating preference signals using a pretrained reference model: we contrast its outputs when conditioned on original prompts versus semantically degraded variants.”

“The paper finds that the value of priority access is discounted relative to risk-neutral valuation due to the difficulty of forecasting short-horizon volatility and bidders' risk aversion.”

“For sufficiently large productivity gaps, the complete network becomes unstable, whereas the Positive Assortative (PA) network -- where firms cluster by productivity levels -- emerges as stable.”

“When the fate of an AI company no longer depends on the iteration of algorithms, but mainly on the face of the Federal Reserve Chairman, this is in itself a defeat of technological idealism.”

“Adaptive guidelines targeting infected individuals effectively reduce infections and narrow the gap between low- and high-income groups.”

““We demonstrate that a surgical VLA policy trained with these augmented data significantly outperforms models trained only on real demonstrations on a real surgical robot platform.””

“MoVLR iteratively explores the reward space through iterative interaction between control optimization and VLM feedback, aligning control policies with physically coordinated behaviors.”

“"Do I still get to keep all my chats and memory if I cancel the subscription?"”

“Google Gemini CLI v0.22.0 〜 v0.22.4 Release Dates: 2025-12-22 〜 2025-12-27. This week's Gemini CLI added five enterprise features, including A2A server, persistent permission policies, and IDE integration.”

“The Guangzhou government is providing up to 2 million yuan in pre-event subsidies for key game topics with excellent traditional Chinese cultural content.”

“Tool calling wise **gpt-oss** is leagues ahead of all the others, at least in my experience using them”

“Deleting that annotated example exploit allowed me to send the letter!”

“(Assuming the study uses the term) "AI slop" refers to low-effort, algorithmically generated content designed to maximize views and ad revenue.”

“It's uncertain whether the proposal will reach the statewide ballot in November, but some billionaires like Peter Thiel and Larry Page may be unwilling to take the risk.”

“The paper reveals critical limitations of state-of-the-art VLAs, including a strong tendency toward memorization over generalization, asymmetric robustness, a lack of consideration for safety constraints, and an inability to compose learned skills for long-horizon tasks.”

“The complaint Dominion filed Tuesday alleges that a stop work order that the Bureau of Ocean Energy Management (BOEM) issued Monday is unlawful, "arbitrary and capricious," and "infringes upon constitutional principles that limit actions by the Executive Branch."”

“Results demonstrate how learned attack policies disrupt load balancing and induce voltage instabilities that propagate across T and D boundaries.”

“Through the joint vehicle engineering capabilities of the host plant, ZhiTu imports technology into real operating scenarios and continues to verify the reliability and commercial value of its solutions in high and low-speed scenarios such as trunk logistics, urban sanitation, port terminals, and unmanned logistics.”

“Our comparative analysis shows 1-bit models achieve 5.07 times speedup over 2-bit alternatives on ARM processors while maintaining 92% task accuracy.”

“Jia Guolong stated that the impact of the Xibei controversy was greater than any previous business crisis.”

“The research focuses on the problem of remote estimation over time-correlated fading channels.”

“導入の失敗はモデル性能ではなく 情報の扱い 責任範囲 運用ルール が曖昧なまま進めたときに起きがちです。”

“The article uses an agent-based model to study promotions and efficiency.”

“OpenAI is considering placing ads in ChatGPT.”

“”