It’s called Petri: Parallel Exploration Tool for Risky Interactions. It uses automated agents to audit models across diverse scenarios. Describe a scenario, and Petri handles the environment simulation, conversations, and analyses in minutes. Read more:
CODE
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Console.log: Essential Debugging Technique for Developers
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Most of the time console.log is what i use to debug
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Learn Basic Debugging: Start Now, Master Through Error Solving
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Oh okay. Got it. Learn basic debugging for now and move on. When you have errors and when you start looking for what went wrong, then automatically you will learn how to debug.
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Compile Effects on Neural Network Layers and MoE Architecture
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Interesting, interesting. I thought compile would rather affect the nn.Linear layers vs nn.Embedding as the latter is a lookup and not doing any actual math/compute. Curious now and have to run some experiments later. But since you mentioned MoE, also I am confused now where you
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Hugging Face Transformers: Managing 1M Lines Python Code
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With 1,000,000+ lines of Python and 400+ models How do we keep @huggingface Transformers sane? > Our design tenets: one-model-one-file, modular shards, minimal API, no breakage Peek under the hood on one of the biggest and most-used open ML codebases out there
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torch.compile Performance with nn.Embedding Layers
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Interesting, do you mean torch.compiling here? And if yes, why/how does that work in terms of speed-up since nn.Embedding is basically just a tensor for cheap look-up? (But also, if you are already compiling the model, why would you skip the embedding layer in the first place?)
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Latest AI Models Master New Frameworks Without Prior Training
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Surprisingly, that doesn't seem to hold any more with the latest models running in Claude Code or Codex CLI If they don't know a framework or library I tell them to check out and read the code and docs, after that they tend to use it just fine
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Continuous Thought Machines Spotlight at NeurIPS 2025
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Proud to share that “Continuous Thought Machines” will be presented as a spotlight at #NeurIPS2025 ✨
— hardmaru (@hardmaru) 6 octobre 2025
Updated paper: https://t.co/ZWiidb1eTX
Interactive Demo: https://t.co/d6hqid60t7
GitHub: https://t.co/O0FS9jM8gk https://t.co/Zgv6TIFybSProud to share that “Continuous Thought Machines” will be presented as a spotlight at #NeurIPS2025 Updated paper: https://
arxiv.org/abs/2505.05522
Interactive Demo: https://
pub.sakana.ai/ctm/
GitHub: https://
github.com/SakanaAI/Conti
nuous-Thought-Machines
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Vibe Coding: Unusual Approach to AI-Assisted Programming
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This is from a unusual sample (people who posted about vibe coding online): https://
arxiv.org/pdf/2510.00328
v1
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Vibe Coding: Process Issues Rather Than AI Problems
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Maybe some of the big problems with vibe coding are process problems, not AI problems…