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Tag: making systems

  • The Register: Strap in, get ready for more Rust drivers in Linux kernel

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/10/rust_drivers_expected_to_become/ Source: The Register Title: Strap in, get ready for more Rust drivers in Linux kernel Feedly Summary: Likening memory safety bugs to smallpox may not soothe sensitive C coders Rust is alive and well in the Linux kernel and is expected to translate into noticeable benefits shortly, though its integration with the…

  • Hacker News: R1 Computer Use

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    Kurt Seifried
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    Source URL: https://github.com/agentsea/r1-computer-use Source: Hacker News Title: R1 Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project named “R1-Computer-Use,” which leverages reinforcement learning techniques for improved computer interaction. This novel approach replaces traditional verification methods with a neural reward model, enhancing the reasoning capabilities of agents in diverse…

  • Simon Willison’s Weblog: Quoting Jack Clark

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/28/jack-clark-r1/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: The most surprising part of DeepSeek-R1 is that it only takes ~800k samples of ‘good’ RL reasoning to convert other models into RL-reasoners. Now that DeepSeek-R1 is available people will be able to refine samples out of it to convert any other…

  • Hacker News: Mastering Atari Games with Natural Intelligence

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    Kurt Seifried
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    Source URL: https://www.verses.ai/blog/mastering-atari-games-with-natural-intelligence Source: Hacker News Title: Mastering Atari Games with Natural Intelligence Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a significant advancement in the realm of AI, showcasing VERSES’ Genius-powered agent that outperforms existing leading AI algorithms on the Atari 100k benchmarking challenge with remarkable efficiency. This represents a…

  • Hacker News: Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

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    system automation
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    Source URL: https://arxiv.org/abs/2411.12580 Source: Hacker News Title: Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper discusses how procedural knowledge in pretraining influences the reasoning capabilities of Large Language Models (LLMs). It reveals that while LLMs demonstrate proficiency in problem-solving, their reasoning is…

  • Hacker News: MIT researchers develop an efficient way to train more reliable AI agents

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    system automation
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    Source URL: https://news.mit.edu/2024/mit-researchers-develop-efficiency-training-more-reliable-ai-agents-1122 Source: Hacker News Title: MIT researchers develop an efficient way to train more reliable AI agents Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses an innovative approach developed by MIT researchers to improve the efficiency of reinforcement learning models for decision-making tasks, particularly in traffic signal control. The…

  • Hacker News: Something weird is happening with LLMs and chess

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    system automation
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    Source URL: https://dynomight.substack.com/p/chess Source: Hacker News Title: Something weird is happening with LLMs and chess Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses experimental attempts to make large language models (LLMs) play chess, revealing significant variability in performance across different models. Notably, while models like GPT-3.5-turbo-instruct excelled in chess play, many…