Experimental News Clipping Site

Tag: machine learning models

  • Cisco Talos Blog: Seasoning email threats with hidden text salting

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.talosintelligence.com/seasoning-email-threats-with-hidden-text-salting/ Source: Cisco Talos Blog Title: Seasoning email threats with hidden text salting Feedly Summary: Hidden text salting is a simple yet effective technique for bypassing email parsers, confusing spam filters, and evading detection engines that rely on keywords. Cisco Talos observed an increase in the number of email threats leveraging hidden text…

  • Simon Willison’s Weblog: Lessons From Red Teaming 100 Generative AI Products

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/18/lessons-from-red-teaming/ Source: Simon Willison’s Weblog Title: Lessons From Red Teaming 100 Generative AI Products Feedly Summary: Lessons From Red Teaming 100 Generative AI Products New paper from Microsoft describing their top eight lessons learned red teaming (deliberately seeking security vulnerabilities in) 100 different generative AI models and products over the past few years.…

  • Cloud Blog: Bitly: Protecting users from malicious links with Web Risk

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/partners/bitly-ensuring-real-time-link-safety-with-web-risk-to-protect-people/ Source: Cloud Blog Title: Bitly: Protecting users from malicious links with Web Risk Feedly Summary: Bitly’s partnership with Google Web Risk helps enhance Bitly’s ability to protect users and build trust as they generate millions of links and QR Codes daily.  Over the last decade, Bitly has solidified its reputation as a…

  • Hacker News: Don’t use cosine similarity carelessly

    —

    by

    Kurt Seifried
    in

    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…

  • AWS News Blog: Now open — AWS Mexico (Central) Region

    —

    by

    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/now-open-aws-mexico-central-region/ Source: AWS News Blog Title: Now open — AWS Mexico (Central) Region Feedly Summary: AWS launches its first cloud Region in Mexico, enabling digital transformation with local infrastructure, delivering low latency, and helping customers meet data residency requirements, backed by a planned $5 billion investment over 15 years. AI Summary and Description:…

  • Hacker News: Nvidia releases its own brand of world models

    —

    by

    Kurt Seifried
    in

    Source URL: https://techcrunch.com/2025/01/06/nvidia-releases-its-own-brand-of-world-models/ Source: Hacker News Title: Nvidia releases its own brand of world models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Nvidia has introduced Cosmos World Foundation Models (Cosmos WFMs), a new family of AI models aimed at generating physics-aware video content. These models, available through various platforms, are designed for diverse…

  • Hacker News: Double-keyed caching: Browser cache partitioning

    —

    by

    Kurt Seifried
    in

    Source URL: https://addyosmani.com/blog/double-keyed-caching/ Source: Hacker News Title: Double-keyed caching: Browser cache partitioning Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the transition from traditional web caching models to Double-keyed Caching due to privacy concerns. This change fundamentally alters resource retrieval and storage in browsers, impacting performance and impacting web architecture strategies.…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Cloud Blog: How Ford Pro uses Bigtable to harness connected vehicle telemetry data

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/databases/ford-pro-intelligence-built-on-bigtable-nosql-database/ Source: Cloud Blog Title: How Ford Pro uses Bigtable to harness connected vehicle telemetry data Feedly Summary: Ford Pro Intelligence is a cloud-based platform that is used for managing and supporting fleet operations of its commercial customers. Ford commercial customers range from small businesses, large enterprises like United Postal Service and Pepsi…

  • Cloud Blog: How Ford Pro uses Bigtable to harness connected vehicle telemetry data

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/databases/ford-pro-intelligence-built-on-bigtable-nosql-database/ Source: Cloud Blog Title: How Ford Pro uses Bigtable to harness connected vehicle telemetry data Feedly Summary: Ford Pro Intelligence is a cloud-based platform that is used for managing and supporting fleet operations of its commercial customers. Ford commercial customers range from small businesses, large enterprises like United Postal Service and Pepsi…