Claude Opus 5 BENCHMARKS!
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OpenForgeRL: Train Harness-native Agents in Any Environment
OpenForgeRL is an open-source framework designed to enable end-to-end training of agents utilizing inference harnesses like Claude Code, Codex, and OpenClaw across diverse environments. It addresses the challenge of trai…
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Sample-Efficient Learning from Agent Experience
Real-world agent learning is often constrained by costly environment interactions, such as running time-consuming experiments or obtaining human feedback. In-context learning offers a highly sample-ef
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Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
The paper argues that spatial cognition evaluation should use generative
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Dataset Distillation by Influence Matching
We revisit dataset distillation from an outcome-centric perspective. Rather than aligning process surrogates (per-step gradients or training trajectories), Influence Matching (Inf-Match) aligns the fi
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Show Dev: Persistent, Outcome-Grounded Memory for AI Agents — No GPU, No Vector DB
https://vaasx.com Why I built this Every AI agent I worked with forgot everything between sessions, and every "add memory to your agent" tool I found either needed a GPU, billed per query,
→ View original sourceRadeon AI Pro R9700 vs Strix Halo vs Mac Studio for a local coding LLM server ?
A developer is seeking hardware recommendations for a dedicated local LLM server optimized specifically for large-scale coding tasks. The inquiry compares the performance of the Radeon AI Pro R9700, Strix Halo, and Mac S…
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30+ officially free AI/ML books, all in one curated repo
A curated repository, Awesome Free AI Books, aggregates over 30 legally free AI/ML textbooks spanning topics like Deep Learning, NLP, and AI
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Claude Cookbook
A collection of practical examples and recipes for using the Claude AI assistant is published on the official platform. The Claude Cookbook provides developers and users with guidance on implementing common tasks and wor…
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A Chinese model filled an AI cyber-defense gap · India backs fair dealing for AI training — for now…
A Chinese open‑source AI model was demonstrated to close a previously unaddressed vulnerability in AI‑driven cyber defense systems, detecting and mitigating threats that existing solutions miss. This reveals the model’s …
→ View original sourceUse Qwen 3.5 27B as local LLM for coding on MacBook with 36G memory
A user is seeking advice on optimizing local LLM performance for coding tasks on a MacBook Pro equipped with an M4 Max chip and 36GB of RAM. They are currently running a 4-bit quantized Qwen 3.5 27B model via LM Studio, …
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