Tag: generation

  • Slashdot: DeepSeek Writes Less-Secure Code For Groups China Disfavors

    Source URL: https://slashdot.org/story/25/09/17/2123211/deepseek-writes-less-secure-code-for-groups-china-disfavors?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek Writes Less-Secure Code For Groups China Disfavors Feedly Summary: AI Summary and Description: Yes Summary: The research by CrowdStrike reveals that DeepSeek, a leading AI firm in China, provides lower-quality and less secure code for requests linked to certain politically sensitive groups, highlighting the intersection of AI technology…

  • Cloud Blog: How California is transforming public services with Google Cloud

    Source URL: https://cloud.google.com/blog/topics/public-sector/how-california-is-transforming-public-services-with-google-cloud/ Source: Cloud Blog Title: How California is transforming public services with Google Cloud Feedly Summary: State and local governments across the nation face a myriad of challenges, including strained budgets, aging infrastructure, and a complex regulatory landscape. In California, these challenges are compounded by a rapidly growing population and increasing demand for…

  • Cloud Blog: Gemini and OSS text embeddings are now in BigQuery ML

    Source URL: https://cloud.google.com/blog/products/data-analytics/use-gemini-and-open-source-text-embedding-models-in-bigquery/ Source: Cloud Blog Title: Gemini and OSS text embeddings are now in BigQuery ML Feedly Summary: High-quality text embeddings are the engine for modern AI applications like semantic search, classification, and retrieval-augmented generation (RAG). But when it comes to picking a model to generate these embeddings, we know one size doesn’t fit…

  • Cloud Blog: New DNS Armor can help detect, mitigate domain name system risks

    Source URL: https://cloud.google.com/blog/products/identity-security/introducing-dns-armor-to-mitigate-domain-name-system-risks/ Source: Cloud Blog Title: New DNS Armor can help detect, mitigate domain name system risks Feedly Summary: The Domain Name System (DNS) is like the internet’s phone book, automatically and near-instantly translating requests for websites and mobile apps from their domain names to the Internet Protocol addresses of the actual computers hosting…

  • Cloud Blog: Unlocking a new era for SAP on Google Cloud

    Source URL: https://cloud.google.com/blog/products/sap-google-cloud/unlocking-a-new-era-for-sap-on-google-cloud/ Source: Cloud Blog Title: Unlocking a new era for SAP on Google Cloud Feedly Summary: The world of enterprise technology is at an inflection point. Businesses are no longer just looking to modernize their infrastructure; they’re seeking to infuse intelligence and automation into every aspect of their operations. At Google Cloud, we…

  • OpenAI : Addendum to GPT-5 system card: GPT-5-Codex

    Source URL: https://openai.com/index/gpt-5-system-card-addendum-gpt-5-codex Source: OpenAI Title: Addendum to GPT-5 system card: GPT-5-Codex Feedly Summary: This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or…

  • Anchore: Anchore Enterprise is now SPDX 3 Ready

    Source URL: https://anchore.com/blog/anchore-enterprise-is-now-spdx-3-ready/ Source: Anchore Title: Anchore Enterprise is now SPDX 3 Ready Feedly Summary: We’re excited to announce that Anchore Enterprise is now SDPX 3 ready. If you’re a native to the world of SBOMs this may feel a bit confusing given that the Linux Foundation announced the release of SPDX 3 last year.…

  • Simon Willison’s Weblog: Models can prompt now

    Source URL: https://simonwillison.net/2025/Sep/14/models-can-prompt/#atom-everything Source: Simon Willison’s Weblog Title: Models can prompt now Feedly Summary: Here’s an interesting example of models incrementally improving over time: I am finding that today’s leading models are competent at writing prompts for themselves and each other. A year ago I was quite skeptical of the pattern where models are used…