Tag: news

  • Hacker News: U.S. Army Soldier Arrested in AT&T, Verizon Extortions

    Source URL: https://krebsonsecurity.com/2024/12/u-s-army-soldier-arrested-in-att-verizon-extortions/ Source: Hacker News Title: U.S. Army Soldier Arrested in AT&T, Verizon Extortions Feedly Summary: Comments AI Summary and Description: Yes Summary: A U.S. Army soldier, Cameron John Wagenius, has been arrested for allegedly hacking and leaking sensitive telecom data. His arrest highlights a concerning trend of military personnel becoming involved in cybercriminal…

  • Hacker News: Why it’s hard to trust software, but you mostly have to anyway

    Source URL: https://educatedguesswork.org/posts/ensuring-software-provenance/ Source: Hacker News Title: Why it’s hard to trust software, but you mostly have to anyway Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the inherent challenges of trusting software, particularly in the context of software supply chains, vendor trust, and the complexities involved in verifying the integrity…

  • Hacker News: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought?

    Source URL: https://aipapersacademy.com/chain-of-continuous-thought/ Source: Hacker News Title: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought? Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents an innovative approach to enhancing reasoning capabilities in large language models (LLMs) through a method called Chain of Continuous Thought (COCONUT). It highlights…

  • Hacker News: Performance of LLMs on Advent of Code 2024

    Source URL: https://www.jerpint.io/blog/advent-of-code-llms/ Source: Hacker News Title: Performance of LLMs on Advent of Code 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an experiment evaluating the performance of Large Language Models (LLMs) during the Advent of Code 2024 challenge, revealing that LLMs did not perform as well as expected. The…

  • 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…

  • Slashdot: Nvidia Open-Sources Run:ai, the Software It Acquired For $700 Million

    Source URL: https://news.slashdot.org/story/24/12/30/1420230/nvidia-open-sources-runai-the-software-it-acquired-for-700-million?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia Open-Sources Run:ai, the Software It Acquired For $700 Million Feedly Summary: AI Summary and Description: Yes Summary: Nvidia’s acquisition of Run:ai marks a significant move in the AI infrastructure landscape, enhancing its capabilities in GPU cloud orchestration software. The intent to open-source the platform could broaden its usability…

  • Alerts: CISA Adds One Known Exploited Vulnerability to Catalog

    Source URL: https://www.cisa.gov/news-events/alerts/2024/12/30/cisa-adds-one-known-exploited-vulnerability-catalog Source: Alerts Title: CISA Adds One Known Exploited Vulnerability to Catalog Feedly Summary: CISA has added one new vulnerability to its Known Exploited Vulnerabilities Catalog, based on evidence of active exploitation. CVE-2024-3393 Palo Alto Networks PAN-OS Malformed DNS Packet Vulnerability These types of vulnerabilities are frequent attack vectors for malicious cyber actors and…

  • Hacker News: KAG – Knowledge Graph RAG Framework

    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…