arXiv:2603.28771v1 Announce Type: new Abstract: Recent research on ray tracing cores has explored repurposing these cores to solve non-graphical problems by reformulating them as geometric queries, leveraging the inherent parallelism of ray tracing. Although successful in specific cases, these applications lack a clear pattern, and the conditions under which RT cores can provide computational benefits are still not clearly understood. The objective of this literature review is to examine diverse applications of ray tracing cores in general-purpose computation, […]

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My minute-by-minute response to the LiteLLM malware attack Callum McMahon reported the LiteLLM malware attack to PyPI. Here he shares the Claude transcripts he used to help him confirm the vulnerability and decide what to do about it. Claude even suggested the PyPI security contact address after confirming the malicious code in a Docker container: Confirmed. Fresh download from PyPI right now in an isolated Docker container: Inspecting: litellm-1.82.8-py3-none-any.whl FOUND: litellm_init.pth SIZE: 34628 bytes FIRST 200 CHARS: import […]

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arXiv:2601.21014v2 Announce Type: replace Abstract: Learning causal structures from observational data remains a fundamental yet computationally intensive task, particularly in high-dimensional settings where existing methods face challenges such as the super-exponential growth of the search space and increasing computational demands. To address this, we introduce VISTA (Voting-based Integration of Subgraph Topologies for Acyclicity), a modular framework that decomposes the global causal structure learning problem into local subgraphs based on Markov Blankets. The global integration is achieved through a […]

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Cultural-heritage destinations are adopting digital twins and Living Labs to improve conservation, safety, and visitor experience. Operationalising these initiatives requires trustworthy interfaces capable of answering questions grounded in authoritative sources under public-sector governance constraints. We present a Sovereign Conversational Assistant (SCA) based on a small-language-model (SLM) plus retrieval-augmented generation (RAG) platform designed for the next generation Libelium Heritage Living Lab. This assistant is, therefore, agnostic from any specific LLM. Testing has focused on the usage of newly released, […]

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arXiv:2603.22384v1 Announce Type: new Abstract: Autonomous agents operating in continuous environments must decide not only what to do, but when to act. We introduce a lightweight adaptive temporal control system that learns the optimal interval between cognitive ticks from experience, replacing ad hoc biologically inspired timers with a principled learned policy. The policy state is augmented with a predictive hyperbolic spread signal (a “curvature signal” shorthand) derived from hyperbolic geometry: the mean pairwise Poincare distance among n sampled […]

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Technology is supercharging the attack on democracy and EFF is fighting back. We’re suing to stop government surveillance. We’re fighting to protect free expression online. And we’re building tools to protect your data privacy. Help support our mission with new gear from EFF’s online store, perfect gifts for the digital rights defender in your life. Take 20% your order today with code BLACKFRI. Thanks for being an EFF supporter! Liquid Core Dice are perfect for tabletop games. The metal […]

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Multimodal learning seeks to integrate information from heterogeneous sources, where signals may be shared across modalities, specific to individual modalities, or emerge only through their interaction. While self-supervised multimodal contrastive learning has achieved remarkable progress, most existing methods predominantly capture redundant cross-modal signals, often neglecting modality-specific (unique) and interaction-driven (synergistic) information. Recent extensions broaden this perspective, yet they either fail to explicitly model synergistic interactions or learn different information components in an entangled manner, leading to incomplete representations […]

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go-size-analyzer The Go ecosystem is really good at tooling. I just learned about this tool for analyzing the size of Go binaries using a pleasing treemap view of their bundled dependencies. You can install and run the tool locally, but it’s also compiled to WebAssembly and hosted at gsa.zxilly.dev – which means you can open compiled Go binaries and analyze them directly in your browser. I tried it with a 8.1MB macOS compiled copy of my Go Showboat […]

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