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The ultimate end of AI is electricity! After the century-defining utility merger in the US stock market, power stocks, the new "pick-and-shovel sellers" of AI data centers, are now in the spotlight. - Bitget Needs fresh price/news confirmation before becoming an actionable setup.Generated from public market data and news for research and education. Not financial advice; data may be delayed, incomplete, or wrong.
From the arXiv
A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
his paper introduces the **Stochastic-Deterministic Boundary (SDB)** as the core architectural primitive for production LLM agents, defining it as a four-part contract governing how LLM outputs become system actions. The authors organize agent runtime design around this SDB across three concerns (Coordination, State, Control) and present a catalog of six compositional runtime patterns, tracing their lineage to distributed systems concepts adapted for stochastic workers.

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
AutoResearchClaw introduces a self-reinforcing, iterative autonomous research pipeline that moves beyond linear execution. Its core method involves structured multi-agent debate, a self-healing execution loop that learns from failures, and cross-run evolution …
CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning
CopT reformulates Chain-of-Thought reasoning by prioritizing a draft answer before engaging in subsequent "on-policy thinking" for reflection and correction. Its core method involves using continuous embeddings as inference-time contrastive verifiers, comparin…


Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes
This paper introduces **CPD Online (CPD)**, a novel, training-free method for detecting fluent adversarial prompts by framing the problem as **online change-point detection** on the token-level next-token entropy stream. By establishing a baseline using the LL…
PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
PEEK introduces a novel method for LLM agents operating on recurring long contexts by caching reusable orientation knowledge as a "context map." This small, constant-sized artifact, maintained via a programmable cache policy (Distiller, Cartographer, Prioritiz…
Probing Embodied LLMs: When Higher Observation Fidelity Hurts Problem Solving
This paper investigates how observation fidelity impacts embodied LLM agents solving a complex mechanical puzzle called the Lockbox. The core method involves testing LLMs with vary…
ThoughtTrace: Understanding User Thoughts in Real-World LLM Interactions
The paper introduces **ThoughtTrace**, the first large-scale dataset pairing real-world multi-turn human-AI conversations with users' self-reported thoughts (reasons for prompts an…
Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
This paper introduces **AutoTool**, a method that enables Multimodal Large Language Models (MLLMs) to **adaptively decide whether to invoke external tools** during reasoning, addre…
ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning
ClinSeekAgent is an automated agentic framework designed to shift clinical reasoning from passive evidence consumption to active evidence acquisition. It dynamically seeks, plans f…
MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
The paper introduces **MixRea**, a benchmark designed to test Large Language Models (LLMs) on **explicit-implicit reasoning**, inspired by human inattentional blindness. It evaluat…
The Town Square
Google has announced Gemini 3.5 Flash, a new, highly efficient and fast version of its multimodal AI model designed for high-frequency tasks.
Workshops
This repository provides a structured, iterative framework for academic research, guiding users through the core stages of **research, writing, reviewing, revising, and finalizing** scholarly work using Claude AI.
OpenHuman is a personal AI super intelligence designed to be private, simple to use, and extremely powerful for individual users.