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nanoMuse: An Open-Source Personal Agent for Every Device You Own
The preprint presents nanoMuse as an open-source counterpart to persistent personal agents that operate across a user's accounts and devices. It describes a shared conversation over a user-runnable relay, a Sentinel…
Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?
The preprint introduces BOTTLED, a benchmark in which agents receive an unlabelled workload and must complete it under fixed time, compute, and LLM API budgets. Agents may train a small model or write a reusable…
SquidAgent: Parallelize Wisely, Coordinate Efficiently
The preprint identifies re-exploration and alignment as hidden costs that can make parallel multi-agent systems slower than a single-agent baseline. It proposes a token-based decision criterion, direct forking from the…
Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving
The preprint proposes HEAR, a bidirectional Harness–Engine Pairing protocol that lets an agent harness communicate workflow intent and execution requirements while the inference engine returns runtime state…
ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement
The preprint describes an autonomous post-training harness that attributes errors, selects update directions, and executes model updates under a limited compute budget. It combines metric- and case-level analysis…
Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints
The preprint proposes the Homomorphic Advantage Operator to stabilize deep reinforcement learning when nonlinear operations are approximated under fully homomorphic encryption. It applies a zero-mean centering…
You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference
The preprint argues that open-weight inference routing must choose both a model and the provider serving it. Across live endpoints, models, task types, and three measurement waves, it reports that the same model can…
Report: Progressive Disclosure of Agent Skills
The report describes a Workday deployment context in which named procedures, or skills, are added to an LLM agent's context. It evaluates progressive disclosure (lazy-loading) of skills as a way to control the cost of…
CompKV: Compensation-Aware KV Selection for Long-Context LLM Inference
CompKV selects token blocks jointly with the downstream compensation mechanism for sparse attention rather than choosing tokens only by attention mass. The preprint derives a block-level residual approximation based on…
SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving
SWE-Serve contains 53 repository-grounded tasks derived from production changes to SGLang, spanning six inference-engineering families. Tasks use hidden functional and regression tests, end-to-end serving tests…
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
The record describes a 552B-backbone multimodal mixture-of-experts model with up to one million tokens of context, activating 16B parameters during decode and 8B during prefill. It reports cross-layer KV reuse, FP4 KV…
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
Video DeltaNet combines local Softmax attention with bidirectional linear memory for long-range video context. Its Video Delta Attention updates memory once per frame, with separate projections and gates for…
Could Underwater Data Centers Pose a Risk to AI Treaty Verification?
The paper evaluates whether underwater data centers could conceal a 100,000-H100-equivalent training run. It reports that power and cooling are tractable, while interconnect and hands-on maintenance are severe…
LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers
The paper argues no single LLM is optimal for every query or budget, and proposes a standard framework plus open-source toolkit for building, testing, and deploying systems that route each query to the most suitable…
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
The text is about AgentCompass, an open-source evaluation infrastructure designed to evaluate Large Language Models (LLMs) as they evolve into autonomous agents. The infrastructure aims to address the current…
Shared Infrastructure, Isolated Tenants: Pool Model Multi-Tenancy with Amazon Bedrock AgentCore
AWS demonstrates production-ready multi-tenant AI agent patterns using Bedrock AgentCore, illustrated through a healthcare use case serving multiple clinics and hospitals. The post covers pool model multi-tenancy with…
Temporary Cloudflare Accounts for AI Agents
Cloudflare launched Temporary Accounts on Workers, allowing AI agents to deploy a live Worker in seconds via wrangler deploy --temporary. This enables ephemeral compute resources for agents without requiring persistent…
Amazon Bedrock AgentCore Harness Is Now Generally Available
AWS announced general availability of Amazon Bedrock AgentCore Harness, enabling simplified production-grade agent creation from minimal code. The announcement claims agents can be deployed "from idea to…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
