Experimental News Clipping Site

Tag: correctness

  • Simon Willison’s Weblog: Pydantic Evals

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/1/pydantic-evals/#atom-everything Source: Simon Willison’s Weblog Title: Pydantic Evals Feedly Summary: Pydantic Evals Brand new package from the Pydantic AI team which directly tackles what I consider to be the single hardest problem in AI engineering: building evals to determine if your LLM-based system is working correctly and getting better over time. The feature…

  • Hacker News: Clean, a formal verification DSL for ZK circuits in Lean4

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    Kurt Seifried
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    Source URL: https://blog.zksecurity.xyz/posts/clean/ Source: Hacker News Title: Clean, a formal verification DSL for ZK circuits in Lean4 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses the development of an embedded Domain-Specific Language (DSL) and formal verification framework for Zero-Knowledge (ZK) circuits using Lean4. The project aims to enhance the correctness…

  • Hacker News: Zero-knowledge proofs, encoding Sudoku and Mario speedruns without semantic leak

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    Kurt Seifried
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    Source URL: https://vasekrozhon.wordpress.com/2025/03/17/zero-knowledge-proofs/ Source: Hacker News Title: Zero-knowledge proofs, encoding Sudoku and Mario speedruns without semantic leak Feedly Summary: Comments AI Summary and Description: Yes Summary: The text focuses on zero-knowledge proofs, illustrating their foundational concepts and applications, particularly in cryptography and distributed systems. The discussion highlights how zero-knowledge proofs can be a solution to…

  • Hacker News: Show HN: Codemcp – Claude Code for Claude Pro subscribers – ditch API bills

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    Kurt Seifried
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    Source URL: https://github.com/ezyang/codemcp Source: Hacker News Title: Show HN: Codemcp – Claude Code for Claude Pro subscribers – ditch API bills Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces “codemcp,” a tool designed to enhance the capability of the AI model Claude by acting as a pair programming assistant. It provides a…

  • Cloud Blog: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/ttd-instruction-emulation-bugs/ Source: Cloud Blog Title: Unraveling Time: A Deep Dive into TTD Instruction Emulation Bugs Feedly Summary: Written by: Dhanesh Kizhakkinan, Nino Isakovic Executive Summary This blog post presents an in-depth exploration of Microsoft’s Time Travel Debugging (TTD) framework, a powerful record-and-replay debugging framework for Windows user-mode applications. TTD relies heavily on accurate…

  • Slashdot: Will an ‘AI Makeover’ Help McDonald’s?

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/03/09/070211/will-an-ai-makeover-help-mcdonalds Source: Slashdot Title: Will an ‘AI Makeover’ Help McDonald’s? Feedly Summary: AI Summary and Description: Yes Summary: McDonald’s is leveraging AI and edge computing to enhance operations across its 43,000 restaurants by implementing technologies like AI-enabled drive-throughs and internet-connected kitchen equipment. Partnering with Google Cloud, McDonald’s aims to utilize local computing power…

  • Hacker News: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue"

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    Kurt Seifried
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    Source URL: https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue Source: Hacker News Title: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue" Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The provided text explores the application of reinforcement learning to enhance the deductive reasoning capabilities of smaller, open-weight models in AI. Specifically, it focuses on…

  • Hacker News: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/ Source: Hacker News Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the phenomenon of “hallucinations” in code generated by large language models (LLMs), highlighting that while such hallucinations can initially undermine developers’ confidence, they are relatively…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…