Tag: production

  • Hacker News: Show HN: Factorio Learning Environment – Agents Build Factories

    Source URL: https://jackhopkins.github.io/factorio-learning-environment/ Source: Hacker News Title: Show HN: Factorio Learning Environment – Agents Build Factories Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces the Factorio Learning Environment (FLE), an innovative evaluation framework for Large Language Models (LLMs), focusing on their capabilities in long-term planning and resource optimization. It reveals gaps…

  • Hacker News: How to Implement a Cosine Similarity Function in TypeScript

    Source URL: https://alexop.dev/posts/how-to-implement-a-cosine-similarity-function-in-typescript-for-vector-comparison/ Source: Hacker News Title: How to Implement a Cosine Similarity Function in TypeScript Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text delves into the concept of cosine similarity, particularly its applications in AI, such as semantic search and AI-powered recommendations. It outlines the mathematical basis for cosine similarity…

  • Hacker News: Evolving Agents – AI Agents That Communicate, Collaborate, and Improve over Time

    Source URL: https://github.com/matiasmolinas/evolving-agents Source: Hacker News Title: Evolving Agents – AI Agents That Communicate, Collaborate, and Improve over Time Feedly Summary: Comments AI Summary and Description: Yes Summary: The Evolving Agents Framework provides a comprehensive solution for creating and managing AI agents with sophisticated communication capabilities. Its emphasis on intelligent agent evolution and cross-framework compatibility…

  • Anchore: Making Virtual Machine Security Analysis Easier with sbom-vm

    Source URL: https://anchore.com/blog/making-virtual-machine-security-analysis-easier-with-sbom-vm/ Source: Anchore Title: Making Virtual Machine Security Analysis Easier with sbom-vm Feedly Summary: Security professionals often need to analyze the contents of virtual machines (VMs) to generate Software Bills of Materials (SBOMs). This seemingly straightforward task can become surprisingly complex. I’d like to introduce sbom-vm, a prototype tool I created to simplify…

  • Hacker News: Get Started with Neural Rendering Using Nvidia RTX Kit (Vulkan)

    Source URL: https://developer.nvidia.com/blog/get-started-with-neural-rendering-using-nvidia-rtx-kit/ Source: Hacker News Title: Get Started with Neural Rendering Using Nvidia RTX Kit (Vulkan) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an overview of NVIDIA’s RTX Kit, a suite of neural rendering technologies aimed at enhancing computer graphics through artificial intelligence. It outlines new SDKs and their…

  • Hacker News: Multiply Went from Datomic to XTDB to Rama

    Source URL: https://blog.redplanetlabs.com/2025/03/04/how-multiply-went-from-datomic-to-xtdb-to-rama/ Source: Hacker News Title: Multiply Went from Datomic to XTDB to Rama Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines how Multiply, an AI-powered collaboration platform, transitioned from using traditional databases to employing the innovative Rama platform to enhance their backend architecture. This shift allowed them to overcome…

  • Slashdot: TSMC Pledges To Spend $100 Billion On US Chip Facilities

    Source URL: https://news.slashdot.org/story/25/03/03/2135222/tsmc-pledges-to-spend-100-billion-on-us-chip-facilities?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: TSMC Pledges To Spend $100 Billion On US Chip Facilities Feedly Summary: AI Summary and Description: Yes Summary: TSMC plans to invest at least $100 billion in U.S. semiconductor manufacturing, emphasizing the production of AI chips to support advancements in artificial intelligence. This investment is part of a broader…

  • Hacker News: Go-attention: A full attention mechanism and transformer in pure Go

    Source URL: https://github.com/takara-ai/go-attention Source: Hacker News Title: Go-attention: A full attention mechanism and transformer in pure Go Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a pure Go implementation of attention mechanisms and transformer layers by takara.ai. This implementation emphasizes high performance and usability, making it valuable for applications in AI,…