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Are We Recovering Mechanisms? Objective-Level Recovery Gaps in Mechanistic Interpretability
Mechanistic interpretability seeks to recover the internal computations that produce model behavior. Circuit analysis represents a computation as a sparse subgraph of interacting model components. Detailed studies have reconstruct...
LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them
Standard chat models generate free-form text that must be parsed into structured values, introducing latency and the risk of malformed outputs. Jev-style decision models return categorical probability distributions over predefined...
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...
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...
Hacktoberfest 2026 DEV Challenges: Five Challenges, One Prompt, a New Theme Every Week
Hacktoberfest 2026 shifts from pull requests to AI-powered projects Hacktoberfest returns this October with a format that moves away from the traditional pull request count model. Instead of hunting for repositories and submitting...
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...
Semifactual Credit-Augmented Policy Optimization
Reinforcement learning with verifiable rewards improved reasoning capabilities of large language models yet predictions stayed sensitive to task-irrelevant prompt features. Researchers investigated this sensitivity through semifac...
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...
Join Us Live: Hacktoberfest 2026 Launch with Exclusive Swag! 🎃🚀
Google's Fairwind Program and the Argon launch Google's parent company Alphabet has launched Gemini 4 Argon, a new AI model positioned as the company's most powerful release to date. The system handles coding, research, and writin...