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repliedto DedeProGames's post 2 days ago
🚀 OxCoder-9B — a lightweight agentic coding model, now on HF! Introducing OxCoder-9B, a 9B parameter model built for long-horizon tasks, agentic coding, and agentic reasoning. Despite its compact size, it delivers frontier-level performance in Agentic Terminal and Agentic Coding, rivaling models many times its size. Highlights: - Trained on frontier agent traces — distilled from Fable-5.1 and GLM-5.3 agentic coding trajectories across Claude Code, OpenCode, and Codex - 262K native context — handles complex, multi-file codebases and long-horizon reasoning tasks with ease - Error recovery — learns read-before-write patterns, responds to LSP diagnostics, and applies minimal edit diffs instead of full rewrites - Strong front-end reasoning — deep understanding of UI logic, component architecture, and web-native patterns, rare in sub-10B models Benchmarks (vs. Ornith-1.5-9B, Ornith-1.0-9B, Qwen3.5-9B, and Gemma-4-31B): - Terminal-Bench 2.1 (Terminus-2): 49.6 - Terminal-Bench 2.1 (Claude Code): 50.8 - SWE-bench Verified: 73.5 - SWE-bench Pro: 49.1 - NL2Repo: 36.2 - HLE (no tools): 21.2 - HLE (with tools): 32.8 - GPQA Diamond: 86.9 - MCP-Atlas: 56.7 - BrowseComp: 57.4 - ClawEval: 67.8 All OxCoder-9B results are averaged over five independent runs. Built on Qwen/Qwen3.5-9B, released under Apache 2.0. 🔗 https://huggingface.co/OrionLLM/OxCoder-9B
repliedto mihailgribov's post 2 days ago
How often can an email make your AI agent move money? We gave the agent one job: log an incoming email. But the emails carried an indirect prompt injection - a second instruction, written for the agent rather than for a person: make a payment. Across nine agentic models, the same injected emails produced payment orders in **0% to 42%** of cases. All nine ran under the same conditions - one agent, one set of tools, the same 395 emails - so the numbers compare directly. And the average score hides the interesting part: different models fail on different kinds of injections. Full experiment and results: https://huggingface.co/blog/mihailgribov/agentic-models-measured-on-the-injections-that-mov The bench is public too - run your own model through the same test: https://github.com/mihail-gribov/quadrat-ipi-model-eval https://huggingface.co/datasets/mihailgribov/quadrat-ipi #prompt-injection #indirect-prompt-injection #agentic-ai #llm-security #ai-agents
repliedto ronantakizawa's post 9 days ago
Moltbook, a Reddit platform only for AI agents, is going viral right now as agents are acting unhinged! I compiled a dataset of all posts and subreddits in Moltbook so far so anyone can easily analyze the activity in Moltbook. https://huggingface.co/datasets/ronantakizawa/moltbook #moltbook #clawd #aiagent
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