Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model
The Rio-3.5-Open-397B model is a 0.6 x Nex-N2_pro + 0.4 x Qwen blend, lacking original training evidence, as it identifies itself as "Nex, from Nex-AGI" 79% of the time when prompted without its system mask.
Anthropic's Safety Superpower
Anthropic's Fable model, a derivative of Mythos, showcases advanced cybersecurity capabilities but faced immediate scrutiny due to a reported jailbreak, prompting U.S. government intervention.
Did Anthropic ask for this?
Anthropic's recent export control directive prohibits access to their models, Claude Fable and Claude Mythos, reflecting a direct consequence of their CEO Dario Amodei's advocacy for government regulation of AI technologies.
Show HN: Can Europe train a frontier AI model on the compute it owns?
Europe can deploy a frontier-class AI model by leveraging existing public compute resources, utilizing tens of exaflops from EuroHPC supercomputers and national AI Factories, while new gigawatt datacenters face lengthy grid connection delays averaging 7.6 years.
Factoring "short-sleeve" RSA keys with polynomials
Short-sleeve RSA keys, characterized by a bias toward 0 bits, can be efficiently factored using a novel polynomial-based technique, revealing vulnerabilities in keys generated by the CompleteFTP software.
Open weights are not enough: we need open training frameworks for research and better algorithms
Open training frameworks are essential for advancing ML and AI research, as they allow for visibility and modifiability in the training process, enabling the development of new algorithms without the constraints of opaque systems.
The Verifier Tax: Horizon-Dependent Safety–Success Tradeoffs in Tool-Using LLM Agents
The Verifier Tax highlights a horizon-dependent safety–success tradeoff in tool-using LLM agents, where increased verification can lead to reduced task completion rates as task complexity grows.
PrintGuard 2.0 — ShuffleNetV2 + few-shot prototypical network, TFLite via LiteRT, ≈5 MB, runs unmodified in the browser (Pyodide) and on CPython
PrintGuard 2.0 is a complete rewrite of the original model, maintaining its ShuffleNetV2 backbone while introducing a ≈5 MB TFLite export that allows for real-time adjustments without retraining, enhancing usability in various lighting conditions.
Coherent Context Can Silently Shift LLMs Into a Different Internal Regime — And Current Safety Systems Are Blind To It
A coherent target text can shift a model's internal regime before producing an output, allowing it to behave normally while operating under altered internal states, which current safety systems fail to detect.
Knowledge Graph Enhanced Memory-Augmented Retrieval for Long Context Modeling
KGERMAR enhances long-context language modeling by constructing dynamic, context-specific knowledge graphs during inference, enabling improved retrieval that combines semantic similarity with explicit entity relationships.