Tag: Java

  • Unit 42: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks

    Source URL: https://unit42.paloaltonetworks.com/graph-neural-networks/ Source: Unit 42 Title: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks Feedly Summary: Graph neural networks aid in analyzing domains linked to known attack indicators, effectively uncovering new malicious domains and cybercrime campaigns. The post One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery…

  • Simon Willison’s Weblog: Codestral 25.01

    Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…

  • Hacker News: The Canva outage: another tale of saturation and resilience

    Source URL: https://surfingcomplexity.blog/2024/12/21/the-canva-outage-another-tale-of-saturation-and-resilience/ Source: Hacker News Title: The Canva outage: another tale of saturation and resilience Feedly Summary: Comments AI Summary and Description: Yes Summary: The incident at Canva, detailed by Brendan Humphries, highlights a series of interconnected failures that led to a significant service outage. Notably, a CDN misconfiguration and an API gateway performance…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Simon Willison’s Weblog: What we learned copying all the best code assistants

    Source URL: https://simonwillison.net/2025/Jan/4/what-we-learned-copying-all-the-best-code-assistants/ Source: Simon Willison’s Weblog Title: What we learned copying all the best code assistants Feedly Summary: What we learned copying all the best code assistants Steve Krouse describes Val Town’s experience so far building features that use LLMs, starting with completions (powered by Codeium and Val Town’s own codemirror-codeium extension) and then…

  • Hacker News: Empirical Study of Test Generation with LLM’s

    Source URL: https://arxiv.org/abs/2406.18181 Source: Hacker News Title: Empirical Study of Test Generation with LLM’s Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper evaluates the use of Large Language Models (LLMs) for automating unit test generation in software development, focusing on open-source models. It emphasizes the importance of prompt engineering and the advantages…

  • Hacker News: I Run LLMs Locally

    Source URL: https://abishekmuthian.com/how-i-run-llms-locally/ Source: Hacker News Title: I Run LLMs Locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how to set up and run Large Language Models (LLMs) locally, highlighting hardware requirements, tools, model choices, and practical insights on achieving better performance. This is particularly relevant for professionals focused on…

  • Simon Willison’s Weblog: Open WebUI

    Source URL: https://simonwillison.net/2024/Dec/27/open-webui/#atom-everything Source: Simon Willison’s Weblog Title: Open WebUI Feedly Summary: Open WebUI I tried out this open source (MIT licensed, JavaScript and Python) localhost UI for accessing LLMs today for the first time. It’s very nicely done. I ran it with uvx like this: uvx –python 3.11 open-webui serve On first launch it…

  • Unit 42: Now You See Me, Now You Don’t: Using LLMs to Obfuscate Malicious JavaScript

    Source URL: https://unit42.paloaltonetworks.com/?p=137970 Source: Unit 42 Title: Now You See Me, Now You Don’t: Using LLMs to Obfuscate Malicious JavaScript Feedly Summary: This article demonstrates how AI can be used to modify and help detect JavaScript malware. We boosted our detection rates 10% with retraining. The post Now You See Me, Now You Don’t: Using…