Tag: definition

  • Cloud Blog: Get started with Google Cloud’s built-in tokenization for sensitive data protection

    Source URL: https://cloud.google.com/blog/products/identity-security/get-started-with-built-in-tokenization-for-sensitive-data-protection/ Source: Cloud Blog Title: Get started with Google Cloud’s built-in tokenization for sensitive data protection Feedly Summary: In many industries including finance and healthcare, sensitive data such as payment card numbers and government identification numbers need to be secured before they can be used and shared. A common approach is applying tokenization…

  • CSA: Using AI Effectively: An Intro to Prompt Engineering

    Source URL: https://cloudsecurityalliance.org/blog/2025/01/15/unlocking-the-power-of-ai-an-intro-to-prompt-engineering Source: CSA Title: Using AI Effectively: An Intro to Prompt Engineering Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the importance of prompt engineering in utilizing Large Language Models (LLMs) effectively, highlighting how tailored prompts can improve the outputs from AI systems. The focus is on crafting clear instructions…

  • NCSC Feed: Passkeys: they’re not perfect but they’re getting better

    Source URL: https://www.ncsc.gov.uk/blog-post/passkeys-not-perfect-getting-better Source: NCSC Feed Title: Passkeys: they’re not perfect but they’re getting better Feedly Summary: Passkeys are the future of authentication, offering enhanced security and convenience over passwords, but widespread adoption faces challenges that the NCSC is working to resolve. AI Summary and Description: Yes Summary: The text discusses the emergence of passkeys…

  • Hacker News: Don’t use cosine similarity carelessly

    Source URL: https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity/ Source: Hacker News Title: Don’t use cosine similarity carelessly Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the complexities and limitations of using cosine similarity in AI, particularly in the context of vector embeddings derived from language models. It critiques the blind application of cosine similarity to assess…

  • Anchore: Software Supply Chain Security in 2025: SBOMs Take Center Stage

    Source URL: https://anchore.com/blog/software-supply-chain-security-in-2025-sboms-take-center-stage/ Source: Anchore Title: Software Supply Chain Security in 2025: SBOMs Take Center Stage Feedly Summary: In recent years, we’ve witnessed software supply chain security transition from a quiet corner of cybersecurity into a primary battlefield. This is due to the increasing complexity of modern software that obscures the full truth—applications are a…

  • Simon Willison’s Weblog: Agents

    Source URL: https://simonwillison.net/2025/Jan/11/agents/ Source: Simon Willison’s Weblog Title: Agents Feedly Summary: Agents Chip Huyen’s 8,000 word practical guide to building useful LLM-driven workflows that take advantage of tools. Chip starts by providing a definition of “agents" to be used in the piece – in this case it’s LLM systems that plan an approach and then…

  • CSA: Next-Gen AI Cybersecurity: Reshape Digital Defense

    Source URL: https://cloudsecurityalliance.org/blog/2025/01/10/next-gen-cybersecurity-with-ai-reshaping-digital-defense Source: CSA Title: Next-Gen AI Cybersecurity: Reshape Digital Defense Feedly Summary: AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the transformative role of Artificial Intelligence (AI) in enhancing cybersecurity measures against evolving threats. It emphasizes predictive analytics, automated responses, and adaptive security systems as vital advancements for creating…

  • The Register: Court docs allege Meta trained its AI models on contentious trove of maybe-pirated content

    Source URL: https://www.theregister.com/2025/01/10/meta_libgen_allegation/ Source: The Register Title: Court docs allege Meta trained its AI models on contentious trove of maybe-pirated content Feedly Summary: Did Zuck’s definition of ‘free expression’ just get even broader? Meta allegedly downloaded material from an online source that’s been sued for breaching copyright, because it wanted the material to train its…

  • 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…

  • Hacker News: Agents Are Not Enough

    Source URL: https://www.arxiv.org/pdf/2412.16241 Source: Hacker News Title: Agents Are Not Enough Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution and limitations of AI agents, emphasizing that while advancements exist, they are not sufficient for widespread success. It proposes a new ecosystem that integrates agents, user representations (Sims), and Assistants,…