AI/ LLM Hacking — Part 6 — Excessive Agency | Insecure Plugin
infosecwriteups.com·7h
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MichaelAI vs. CogniFlow: A Developer's No-BS Guide to Enterprise AI Platforms
getmichaelai.com·3d·
Discuss: DEV
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What we learned running the industry’s first AI code review benchmark
devinterrupted.substack.com·2d·
Discuss: r/programming
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Study identifies weaknesses in how AI systems are evaluated
dev.to·2h·
Discuss: DEV
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What should I prepare for? IOI or IMO or Both
reddit.com·7h·
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the best tools for simulating LLM agents?
reddit.com·1d·
Discuss: r/LLM
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MLOps Best Practices: Streamlining AI Deployments in C# for 2025
dev.to·1d·
Discuss: DEV
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Integrating LLM Gateway Solutions for Faster Inference in Business Applications
dev.to·1d·
Discuss: DEV
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**Practical Tip: Fine-Tuning LLMs for Improved Generalizabil
dev.to·21h·
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How LLMs Read Docs
aiwiki.dev·1d·
Discuss: Hacker News
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Navigating the LLM Landscape
pub.towardsai.net·1d
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Spinning Plates
dylanamartin.com·1d·
Discuss: Hacker News
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The AI Shift: should LLMs be allowed in the classroom?
ft.com·3d
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·2d
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GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling forStep-Level Reasoning
paperium.net·1d·
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Google NotebookLM: Turn One Interview Prompt Into a Complete Study System
dev.to·11h·
Discuss: DEV
longform travel writing
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alright so learned the most used and imp terms in ai space (from @gkcs_)
threadreaderapp.com·7h
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AI Isn't Alchemy: Not Mystical, Just Messy
craftedlogiclab.com·21m·
Discuss: Hacker News
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Understanding AI Evaluation for Modern LLM Workflows
dev.to·2d·
Discuss: DEV
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