secemp9/arxiv-complete
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Aman Priyanshu PRO
AmanPriyanshu
P(doom) 10%
AI & ML interests
Reasoning, Agentic, Long-Horizon Tasks, Coding, AI for Security, Responsible-AI, Privacy-Preserving-Machine-Learning, AI-Safety, AI-Security
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secemp9/arxiv-complete new activity 10 days ago
AmanPriyanshu/OR-Corpus-Copy:Add task category to dataset card liked a dataset 10 days ago
XiaomiMiMo/MiMo-V2.6-RL-ossOrganizations
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Add task category to dataset card
#1 opened 25 days ago
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nielsr
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reacted to anakin87's post with 🔥❤️ 27 days ago
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3487
I made a 1.1M ModernBERT encoder play Doom in real time on a CPU
Some time ago, VAGO Solutions released SauerkrautLM-Doom-MultiVec-1.3M, a tiny model trained to play Doom Defend the Center scenario from 31k human gameplay examples.
My first thought: cool! I love both Doom and Small Language Models.
Then another idea: I bet I can do better :-)
What I did?
- evaluated the original model and found it's better than reported
- changed a bit the architecture
- generated SFT data with a scripted oracle
- SFT + PPO refinement on consumer hardware
Got a smaller, faster and killer model
Can even fit a floppy with int8 quantization 💾
Watch it play/read the article: anakin87/tiny-doom-defender
Some time ago, VAGO Solutions released SauerkrautLM-Doom-MultiVec-1.3M, a tiny model trained to play Doom Defend the Center scenario from 31k human gameplay examples.
My first thought: cool! I love both Doom and Small Language Models.
Then another idea: I bet I can do better :-)
What I did?
- evaluated the original model and found it's better than reported
- changed a bit the architecture
- generated SFT data with a scripted oracle
- SFT + PPO refinement on consumer hardware
Got a smaller, faster and killer model
Can even fit a floppy with int8 quantization 💾
Watch it play/read the article: anakin87/tiny-doom-defender
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Antares: Foundation Models for Agentic Vulnerability Localization
Paper • 2608.02407 • Published • 3
FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines
Paper • 2606.19605 • Published • 11
Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems
Paper • 2605.27766 • Published • 1
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Article
Security incident disclosure — July 2026
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