aytuakarlar

5 ms·

1.
by aytuakarlar 7mo ago
For a weekend project or local use case, your inductive reasoning (probabilistically, no one is spending a 0-day on me) is totally fine. But the moment you move to enterprise, fintech, or any system handling real data, I truly believe that
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by aytuakarlar 8mo ago
OP here! Also you can try it out immediately via `pip install csl-core`. It allows you to verify policies using the CLI without writing any Python code. I'd really appreciate any feedback on the DSL syntax or the verification approach.
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Show HN: CSL MCP Server – Write and Verify AI Safety Policies from Claude/Cursor(pypi.org)
1 points by aytuakarlar 8mo ago|1 comments
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by aytuakarlar 8mo ago
Hi westurner, I just spent some time going through the Amla and agentvm threads you linked, fascinating stuff. I see you've been tracking this intersection specifically around resource isolation. This is the core of our Phase 3 roadmap
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by aytuakarlar 8mo ago
Great questions! Thats exact trade-offs we're navigating. Re: Intent-aware exceptions: CSL uses hierarchical policy composition for this. Example from our banking case study: CSL: DOMAIN BankingGuard { VARIABLES { action: {&quo
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by aytuakarlar 8mo ago
OP here! You can try it out immediately via `pip install csl-core`. It allows you to verify policies using the CLI without writing any Python code. I'd really appreciate any feedback on the DSL syntax or the verification approach. Than
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Show HN: CSL-Core – Formally Verified Neuro-Symbolic Safety Engine for AI(github.com)
2 points by aytuakarlar 8mo ago|7 comments
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Show HN: I built an AI Colosseum to battle-test different agent architectures(project-chimera.streamlit.app)
3 points by aytuakarlar 1y ago|0 comments
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by aytuakarlar 1y ago
It is my project actually, try to build a hybrid agent for a while.
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by aytuakarlar 1y ago
Would love to hear your thoughts — feedback, critiques, and collaboration ideas are very welcome!
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Show HN: Project Chimera v1.2 – Neuro-Symbolic-Causal AI Agent (Open Source)(github.com)
2 points by aytuakarlar 1y ago|1 comments
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What's the best way to benchmark neuro‑symbolic‑causal AI agents?(github.com)
1 points by aytuakarlar 1y ago|1 comments
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by aytuakarlar 1y ago
I’m building Project Chimera, an open‑source neuro‑symbolic‑causal AI framework. The goal: Combine LLMs (for hypothesis generation), symbolic rules (for safety & domain constraints), and causal inference (for estimating true impact) int
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by aytuakarlar 1y ago
Just realized I posted my main content as a comment instead of in the post body. Apologies for the mix‑up. I would love to hear your thoughts — feedback, critiques, and collaboration ideas are very welcome!
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Show HN: Project Chimera v1.2 – Neuro-Symbolic-Causal AI Agent – OpenSource Demo(github.com)
1 points by aytuakarlar 1y ago|2 comments
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by aytuakarlar 1y ago
I’ve just released Project Chimera v1.2, an open-source hybrid AI agent that blends neuro-symbolic reasoning with causal inference to tackle strategic decision-making problems. Benchmarks: I tested my Neuro+Symbolic+Causal Agent against LLM
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by aytuakarlar 1y ago
Happy to answer questions about architecture, simulation setup, or causal retraining.
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Show HN: Project Chimera – Hybrid AI Agent Combining LLM, Symbolic, and Causal(github.com)
4 points by aytuakarlar 1y ago|3 comments