Tag: trade

  • Hacker News: LLM generated code is like particleboard

    Source URL: https://so.dang.cool/blog/2023-12-30-llm-generated-code-is-like-particleboard.html Source: Hacker News Title: LLM generated code is like particleboard Feedly Summary: Comments AI Summary and Description: Yes Summary: The text draws an analogy between LLM-generated code and particleboard, suggesting that while LLM code is useful for mass production and cost efficiency, it lacks the durability and craftsmanship of hand-written code, analogous…

  • Enterprise AI Trends: Prompts Are the New IP—How Prompts Are Quietly Eating All Your "Business Logic"

    Source URL: https://nextword.substack.com/p/prompts-are-the-new-iphow-prompts Source: Enterprise AI Trends Title: Prompts Are the New IP—How Prompts Are Quietly Eating All Your "Business Logic" Feedly Summary: “Business logic" of most apps are getting absorbed into prompts. They are becoming mission critical assets. AI Summary and Description: Yes Summary: The text discusses the growing significance of AI prompts as…

  • Hacker News: Show HN: I lost 15% to Congress’ lag, so I built a trade-sniping tool

    Source URL: https://politichook.com/ Source: Hacker News Title: Show HN: I lost 15% to Congress’ lag, so I built a trade-sniping tool Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces an AI-powered Optical Character Recognition (OCR) system that utilizes GPT to improve the accuracy and comprehensiveness of data extraction, particularly for handwritten…

  • Hacker News: Everything you say to your Echo will be sent to Amazon starting on March 28

    Source URL: https://arstechnica.com/gadgets/2025/03/everything-you-say-to-your-echo-will-be-sent-to-amazon-starting-on-march-28/ Source: Hacker News Title: Everything you say to your Echo will be sent to Amazon starting on March 28 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Amazon’s recent changes to its Alexa voice assistant, specifically the transition to a generative AI model that entails user privacy trade-offs.…

  • Hacker News: A Practical Guide to Running Local LLMs

    Source URL: https://spin.atomicobject.com/running-local-llms/ Source: Hacker News Title: A Practical Guide to Running Local LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the intricacies of running local large language models (LLMs), emphasizing their applications in privacy-critical situations and the potential benefits of various tools like Ollama and Llama.cpp. It provides insights…

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

    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…

  • Hacker News: Apple rearranged its XNU kernel with exclaves

    Source URL: https://www.theregister.com/2025/03/08/kernel_sanders_apple_rearranges_xnu/ Source: Hacker News Title: Apple rearranged its XNU kernel with exclaves Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple is enhancing the security of its XNU kernel through the introduction of “exclaves,” which create isolated domains that enhance protection against kernel compromises. This architectural shift aims to combine the advantages…

  • Simon Willison’s Weblog: State-of-the-art text embedding via the Gemini API

    Source URL: https://simonwillison.net/2025/Mar/7/gemini-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: State-of-the-art text embedding via the Gemini API Feedly Summary: State-of-the-art text embedding via the Gemini API Gemini just released their new text embedding model, with the snappy name gemini-embedding-exp-03-07. It supports 8,000 input tokens – up from 3,000 – and outputs vectors that are a lot larger…