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Tag: making systems

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    Kurt Seifried
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    Source URL: https://blog.ainativefirm.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes Summary: The text discusses the implications of the release of GPT-5 by OpenAI, particularly focusing on its unification of models under a single umbrella and the strategic advantages gained…

  • Cloud Blog: Cloud CISO Perspectives: How governments can use AI to improve threat detection and reduce cost

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-governments-can-use-AI-improve-threat-detection-reduce-cost/ Source: Cloud Blog Title: Cloud CISO Perspectives: How governments can use AI to improve threat detection and reduce cost Feedly Summary: Welcome to the second Cloud CISO Perspectives for May 2025. Today, Enrique Alvarez, public sector advisor, Office of the CISO, explores how government agencies can use AI to improve threat detection…

  • 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…