We often treat current LLMs as massive “reflex” engines (Model-Free policies) – they react to the context based on training habits, but they don’t really “plan” or verify their moves unless we force them with Chain-of-Thought. I’ve been looking at the architecture behind the new Logical Intelligence lab, which is pivoting to Energy-Based Models. From an RL perspective, this feels exactly like the shift from “habit-based” action to “planning-based” control. Instead of just guessing the next token, the […]

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The inability to communicate poses a major challenge to coordination in multi-agent reinforcement learning (MARL). Prior work has explored correlating local policies via shared randomness, sometimes in the form of a correlation device, as a mechanism to assist in decentralized decision-making. In contrast, this work introduces the first framework for training MARL agents to exploit shared quantum entanglement as a coordination resource, which permits a larger class of communication-free correlated policies than shared randomness alone. This is motivated […]

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arXiv:2603.09952v1 Announce Type: cross Abstract: A central question in modern deep learning is how to design optimizers whose behavior remains stable as the network width $w$ increases. We address this question by interpreting several widely used neural-network optimizers, including textrm{AdamW} and textrm{Muon}, as instances of steepest descent under matrix operator norms. This perspective links optimizer geometry with the Lipschitz structure of the network forward map, and enables width-independent control of both Lipschitz and smoothness constants. However, steepest-descent rules […]

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arXiv:2411.02225v3 Announce Type: replace Abstract: This paper presents Sparse Gradient Descent as a solution for variable selection in convex piecewise linear regression, where the model is given as the maximum of $k$-affine functions $ x mapsto max_{j in [k]} langle a_j^star, x rangle + b_j^star$ for $j = 1,dots,k$. Here, ${ a_j^star}_{j=1}^k$ and ${b_j^star}_{j=1}^k$ denote the ground-truth weight vectors and intercepts. A non-asymptotic local convergence analysis is provided for Sp-GD under sub-Gaussian noise when the covariate distribution satisfies […]

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Modern supply chains must balance high-speed logistics with environmental impact and security constraints, prompting a surge of interest in AI-enabled Internet of Things (AIoT) solutions for global commerce. However, conventional supply chain optimization models often overlook crucial sustainability goals and cyber vulnerabilities, leaving systems susceptible to both ecological harm and malicious attacks. To tackle these challenges simultaneously, this work integrates a quantum-inspired reinforcement learning framework that unifies carbon footprint reduction, inventory management, and cryptographic-like security measures. We design […]

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Learn how to get started with Globalping using the web tool, CLI, dashboard, API, and integrations for testing, monitoring, and automation.

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The artificial intelligence race is rapidly growing beyond algorithms into the domain of hardware. A company designing its own AI chips is a move that reflects how access to compute power has become a defining limitation in AI development. Sources say, Anthropic, the company behind the Claude models, is considering designing its own AI chips. This was once a software centric competition, but is now being shaped by who controls the infrastructure that powers these models. The demand […]

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arXiv:2601.10957v1 Announce Type: new Abstract: Social media platforms are important venues for identity expression, and the Human-Computer Interaction community has been paying growing attention to how marginalized groups express their identities on these platforms. Joining the emerging literature on intersectional experiences, we study blind TikTokers (“BlindTokers”) who are also women and/or LGBTQ+. Using interview data from rev{41} participants, we identify their intersectional experiences as mediated by TikTok’s socio-technical affordances. We argue that BlindTokers’ intersectional marginalization is infrastructural: TikTok’s […]

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In early September, EFF submitted an amicus brief to Ecuador’s Constitutional Court supporting a constitutional challenge filed by Ecuadorian NGOs, including INREDH and LaLibre. The case challenges the constitutionality of the Ley Orgánica de Inteligencia (LOI) and its implementing regulation, the General Regulation of the LOI. EFF’s amicus brief argues that the LOI enables disproportionate surveillance and secrecy that undermine constitutional and Inter-American human rights standards. EFF urges the Constitutional Court to declare the LOI and its regulation […]

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