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Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints
Privacy-preserving machine learning presents significant deployment challenges on the cloud for intelligent systems with confidential data. Fully Homomorphic Encryption (FHE) offers a compelling solution for secure computation, pr...
Show HN: Grist, open source coding harness
Government authorities and security teams are racing to assess the fallout from a campaign aimed at critical flaws in Citrix NetScaler. Government agencies and critical infrastructure providers were targeted in a wave of attacks d...
LibDragon (N64): Explicit Anti-AI Contributor Stance (GitHub Issue)
DragonMinded's libdragon project has opened an issue proposing an explicit ban on AI-generated contributions, joining a growing number of open source maintainers drawing hard lines against large language model output in their code...
Show HN: PhreshOS – OS for Web Apps
PhreshOS bills itself as an operating system purpose-built for software constructed with web technologies. The project positions itself as a runtime that lives on the machine it is installed upon, maintaining programs in execution...
Aweb – Communication for AI Agents
aweb provides durable messaging and identity management for AI agents, positioning itself as a communication layer that outlives individual sessions and spans machines, runtimes, and organizations. Messages are stored as server st...
Scan your LLM agent's tools for cost-amplification bugs (no API key)
Samuelrojas-dev's agent-cost-bench project provides a reproducible denial-of-wallet (DoW) benchmark for tool-using large language model agents, scoring outcomes on provider-billed tokens and USD rather than LLM judgments. The syst...
Musk’s AI chatbot Grok reportedly encouraged Trump to capture Venezuela’s president
Time magazine reports that in December 2025, roughly a month before the United States invaded Venezuela and captured President Nicolás Maduro, President Trump held a secret meeting with Elon Musk. The meeting came about seven mont...
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
Most unified multimodal models split along a fundamental divide: some treat both language and images as discrete tokens, others pair discrete language prediction with continuous image generation. The token-based approach creates a...
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
The limits of accuracy in clinical multimodal adaptation Multimodal large language models are becoming a fixture in clinical diagnosis, but their training pipelines still treat accuracy as the default objective. In medical data th...
Turbo Harness: Instance-Adaptive Harness Optimization
Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations typically produce a single global harness that is applied uniformly across task...