Tag: google search

  • Simon Willison’s Weblog: AI assisted search-based research actually works now

    Source URL: https://simonwillison.net/2025/Apr/21/ai-assisted-search/#atom-everything Source: Simon Willison’s Weblog Title: AI assisted search-based research actually works now Feedly Summary: For the past two and a half years the feature I’ve most wanted from LLMs is the ability to take on search-based research tasks on my behalf. We saw the first glimpses of this back in early 2023,…

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…

  • Cloud Blog: Google Agentspace achieves FedRamp High authorization

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-agentspace-achieves-fedramp-high-authorization/ Source: Cloud Blog Title: Google Agentspace achieves FedRamp High authorization Feedly Summary: We’re excited to announce that Google Agentspace is now authorized for FedRAMP High, bringing Google’s powerful search technology and agentic capabilities to the enterprise. Agentspace is available within Google Cloud’s Assured Workloads, expanding our AI portfolio for public sector organizations…

  • Cloud Blog: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors

    Source URL: https://cloud.google.com/blog/products/databases/how-scann-for-alloydb-vector-search-compares-to-pgvector-hnsw/ Source: Cloud Blog Title: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors Feedly Summary: Executive Summary – ScaNN for AlloyDB is the first Postgres-based vector search extension that supports vector indexes of all sizes, while providing fast index builds, fast transactional updates,…

  • Hacker News: Expanding AI Overviews and Introducing AI Mode

    Source URL: https://blog.google/products/search/ai-mode-search/ Source: Hacker News Title: Expanding AI Overviews and Introducing AI Mode Feedly Summary: Comments AI Summary and Description: Yes Summary: Google has enhanced its search functionality with the introduction of Gemini 2.0 and the new AI Mode, aimed at providing users with faster and higher quality responses to complex queries. This upgrade…

  • Hacker News: Gemini 2.0 is now available to everyone

    Source URL: https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/ Source: Hacker News Title: Gemini 2.0 is now available to everyone Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the launch and features of the Gemini 2.0 series of AI models by Google, highlighting advancements in performance, multimodal capabilities, and safety measures. It introduces several models tailored for…

  • Simon Willison’s Weblog: llm-gemini 0.9

    Source URL: https://simonwillison.net/2025/Jan/22/llm-gemini/ Source: Simon Willison’s Weblog Title: llm-gemini 0.9 Feedly Summary: llm-gemini 0.9 This new release of my llm-gemini plugin adds support for two new experimental models: learnlm-1.5-pro-experimental is “an experimental task-specific model that has been trained to align with learning science principles when following system instructions for teaching and learning use cases" –…