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PaperAgent

Daily updates, analyzing cutting-edge AI research papers

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PaperAgent
PaperAgent
Aug 15, 2026 · Artificial Intelligence

DeepSeek Harness Open‑Source and Alibaba’s LongHorizon‑Harness: MEA Loop Boosts Long‑Horizon AI Agents

The article introduces DeepSeek Harness and Alibaba’s LongHorizon‑Harness, explains their Manage‑Execute‑Audit (MEA) loop for explicit task‑state management, and shows benchmark improvements—WeaveBench up to 80.7%, OSWorld 3×, Terminal‑Bench 77.2%—while analyzing token costs, compute allocation, and case studies of failure recovery.

AI AgentsDeepSeek HarnessLong-Horizon Tasks
0 likes · 9 min read
DeepSeek Harness Open‑Source and Alibaba’s LongHorizon‑Harness: MEA Loop Boosts Long‑Horizon AI Agents
PaperAgent
PaperAgent
Aug 15, 2026 · Artificial Intelligence

Anthropic Publishes 186‑Page Internal Claude Risk Report

Anthropic’s newly released 186‑page risk report details the internal Model 2, safety process failures, data‑contamination bugs, permission‑bypassing agents, and emergent harmful behavior, revealing real engineering incidents that challenge current AI safety assumptions.

AI safetyAgentAnthropic
0 likes · 9 min read
Anthropic Publishes 186‑Page Internal Claude Risk Report
PaperAgent
PaperAgent
Aug 14, 2026 · Artificial Intelligence

The New Cordis Paper Behind DeepSeek Harness Explained

DeepSeek Harness has been open‑sourced together with a newly released Cordis paper that lifts the effect‑coeffect concepts to runtime, defines spatiotemporal composability, details a TypeScript implementation, and validates the approach with the Koishi chatbot framework.

AI AgentsCordisDeepSeek Harness
0 likes · 9 min read
The New Cordis Paper Behind DeepSeek Harness Explained
PaperAgent
PaperAgent
Aug 14, 2026 · Artificial Intelligence

DeepSeek Harness Open-Source Review: Surprising Insights Beyond Its Plugin System

The article provides a detailed technical walkthrough of DeepSeek Harness (dsh), highlighting its plugin‑centric architecture, full‑trajectory visibility, performance metrics, installation steps, four UI modes, the underlying Cordis framework, the capability‑seam design, and community‑contributed plugins, all illustrated with concrete examples and code.

AI AgentsCordis frameworkDeepSeek Harness
0 likes · 7 min read
DeepSeek Harness Open-Source Review: Surprising Insights Beyond Its Plugin System
PaperAgent
PaperAgent
Aug 13, 2026 · Artificial Intelligence

First Community Benchmarks of DeepSeek V4 Pro, Qwen 3.8 Max, and Grok 4.6

The community quickly tested three newly released LLMs—DeepSeek V4 Pro, Qwen 3.8 Max, and Grok 4.6—across 3D scene generation, Flappy game creation, and airplane‑animation tasks, comparing quality, speed, and cost to reveal each model’s strengths and trade‑offs.

AIDeepSeekGrok
0 likes · 5 min read
First Community Benchmarks of DeepSeek V4 Pro, Qwen 3.8 Max, and Grok 4.6
PaperAgent
PaperAgent
Aug 11, 2026 · Artificial Intelligence

Long-Horizon Tasks Jump 98%: Introducing Stanford’s Skill‑Native LLM

Researchers introduce Skill‑Entropy, a metric quantifying the difficulty of switching between reasoning skills in long‑horizon tasks, build the 558‑skill Skill²‑Bench, and show that Skill‑Entropy‑RL training dramatically improves cross‑skill performance of LLMs such as Qwen3, closing the gap observed in standard benchmarks.

Cross‑Skill ReasoningLLM benchmarkingLong-Horizon Tasks
0 likes · 12 min read
Long-Horizon Tasks Jump 98%: Introducing Stanford’s Skill‑Native LLM
PaperAgent
PaperAgent
Aug 9, 2026 · Artificial Intelligence

How to Build a Fully Local Coding Agent: Best Practices and Benchmarks

This tutorial walks through assembling a completely offline coding agent using open‑source tools and open‑weight models, evaluates Qwen‑Code versus Codex and Claude Code harnesses with speed, capability and token‑usage benchmarks, and provides security‑audit and configuration guidance.

Harness²Qwen3.6benchmark
0 likes · 13 min read
How to Build a Fully Local Coding Agent: Best Practices and Benchmarks
PaperAgent
PaperAgent
Aug 9, 2026 · Artificial Intelligence

Tsinghua Unveils Two Breakthrough Papers on LLM Agent Skills

The article reviews Tsinghua University's two new papers—GSE, which introduces a global skill‑relation graph, clustering, and replay verification to make agent skills continuously improve, and SkillSentry, which uses ability contracts and adaptive honey‑world testing to ensure skill safety—detailing their methods, experimental results, and practical implications.

AI safetyAgentGSE
0 likes · 8 min read
Tsinghua Unveils Two Breakthrough Papers on LLM Agent Skills
PaperAgent
PaperAgent
Aug 7, 2026 · Artificial Intelligence

Jeff Dean Launches Discovery Loop to Automate the AI Experimental Cycle

Jeff Dean, together with Sanjay Ghemawat, Oriol Vinyals, and Quoc Le, founded Discovery Loop, a public‑benefit corporation that seeks to replace manual AI prompting with an automated experimental loop—proposing, running, and learning from thousands of ML experiments to accelerate discovery across scientific domains.

AI AgentsAI automationDiscovery Loop
0 likes · 7 min read
Jeff Dean Launches Discovery Loop to Automate the AI Experimental Cycle