Tag: usage

  • Simon Willison’s Weblog: Mistral Small 3.1

    Source URL: https://simonwillison.net/2025/Mar/17/mistral-small-31/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3.1 Feedly Summary: Mistral Small 3.1 Mistral Small 3 came out in January and was a notable, genuinely excellent local model that used an Apache 2.0 license. Mistral Small 3.1 offers a significant improvement: it’s multi-modal (images) and has an increased 128,000 token context length,…

  • Hacker News: Coq-of-rust: Formal verification tool for Rust

    Source URL: https://github.com/formal-land/coq-of-rust Source: Hacker News Title: Coq-of-rust: Formal verification tool for Rust Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “coq-of-rust,” a formal verification tool designed for the Rust programming language, aimed at ensuring that applications are bug-free through mathematical proofs. This tool highlights an innovative approach to bolster software…

  • The Cloudflare Blog: How Cloudflare is using automation to tackle phishing head on

    Source URL: https://blog.cloudflare.com/how-cloudflare-is-using-automation-to-tackle-phishing/ Source: The Cloudflare Blog Title: How Cloudflare is using automation to tackle phishing head on Feedly Summary: How Cloudflare is using threat intelligence and our Developer Platform products to automate phishing abuse reports. AI Summary and Description: Yes Summary: The provided text discusses the significant growth in phishing attacks and Cloudflare’s innovative…

  • Hacker News: Cline: Autonomous Coding Agent for VS Code

    Source URL: https://github.com/cline/cline Source: Hacker News Title: Cline: Autonomous Coding Agent for VS Code Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Cline, an AI assistant designed for software development that leverages the Claude 3.7 Sonnet’s capabilities to facilitate and enhance coding tasks. By providing a user-friendly interface and enabling seamless…

  • Slashdot: BlueSky Proposes ‘New Standard’ for When Scraping Data for AI Training

    Source URL: https://tech.slashdot.org/story/25/03/17/0434237/bluesky-proposes-new-standard-for-when-scraping-data-for-ai-training?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: BlueSky Proposes ‘New Standard’ for When Scraping Data for AI Training Feedly Summary: AI Summary and Description: Yes Summary: The article discusses Bluesky’s proposal for user data consent regarding scraping for generative AI training and archiving. This initiative signifies a potential shift in how user data privacy is managed…

  • Slashdot: Google’s AI ‘Co-Scientist’ Solved a 10-Year Superbug Problem in Two Days

    Source URL: https://science.slashdot.org/story/25/03/17/039241/googles-ai-co-scientist-solved-a-10-year-superbug-problem-in-two-days Source: Slashdot Title: Google’s AI ‘Co-Scientist’ Solved a 10-Year Superbug Problem in Two Days Feedly Summary: AI Summary and Description: Yes Summary: Google has partnered with Imperial College London to leverage its AI tool, built on Gemini 2.0, to enhance biomedical research effectiveness. The AI demonstrated the ability to swiftly generate hypotheses…

  • New York Times – Artificial Intelligence : How A.I. Is Changing the Way the World Builds Computers

    Source URL: https://www.nytimes.com/interactive/2025/03/16/technology/ai-gpu-chips-data-centers.html Source: New York Times – Artificial Intelligence Title: How A.I. Is Changing the Way the World Builds Computers Feedly Summary: Before they can recreate the human brain, the leading A.I. companies need new chips, new data centers and more electricity than the world has to offer — not to mention the water.…

  • Hacker News: Sketch-of-Thought: Efficient LLM Reasoning

    Source URL: https://arxiv.org/abs/2503.05179 Source: Hacker News Title: Sketch-of-Thought: Efficient LLM Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a novel prompting framework called Sketch-of-Thought (SoT) aimed at optimizing large language models (LLMs) by minimizing token usage while maintaining or improving reasoning accuracy. This innovation is particularly relevant for AI…