Experimental News Clipping Site

Tag: AI models

  • Wired: Anthropic Will Use Claude Chats for Training Data. Here’s How to Opt Out

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/anthropic-using-claude-chats-for-training-how-to-opt-out/ Source: Wired Title: Anthropic Will Use Claude Chats for Training Data. Here’s How to Opt Out Feedly Summary: Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. AI Summary and Description:…

  • Cloud Blog: Announcing Claude Sonnet 4.5 on Vertex AI

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-claude-sonnet-4-5-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude Sonnet 4.5 on Vertex AI Feedly Summary: Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI.Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity…

  • Slashdot: New Claude Model Runs 30-Hour Marathon To Create 11,000-Line Slack Clone

    —

    by

    Kurt Seifried
    in

    Source URL: https://developers.slashdot.org/story/25/09/29/1733238/new-claude-model-runs-30-hour-marathon-to-create-11000-line-slack-clone?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New Claude Model Runs 30-Hour Marathon To Create 11,000-Line Slack Clone Feedly Summary: AI Summary and Description: Yes Summary: Anthropic’s release of Claude Sonnet 4.5 marks a significant advancement in autonomous AI capabilities, particularly in code generation and application development. This model can substantially improve productivity for developers by…

  • Tomasz Tunguz: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/future-ai-data-architecture-enterprise-stack/ Source: Tomasz Tunguz Title: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack Feedly Summary: The AI stack is still developing. Different companies experiment with various approaches, tools, and architectures as they figure out what works at scale. The complication is that patterns are beginning to coalesce…

  • Cloud Blog: Google Distributed Cloud at the edge powers U.S. Air Force Mobility Guardian 2025

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-distributed-cloud-at-the-edge-powers-us-air-force-mobility-guardian-2025/ Source: Cloud Blog Title: Google Distributed Cloud at the edge powers U.S. Air Force Mobility Guardian 2025 Feedly Summary: For today’s mission owner, operating effectively in denied, degraded, intermittent, and limited bandwidth (DDIL) environments is paramount. The Department of Defense’s strategy requires smaller, dispersed teams to function autonomously, creating a critical need…

  • Schneier on Security: Abusing Notion’s AI Agent for Data Theft

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.schneier.com/blog/archives/2025/09/abusing-notions-ai-agent-for-data-theft.html Source: Schneier on Security Title: Abusing Notion’s AI Agent for Data Theft Feedly Summary: Notion just released version 3.0, complete with AI agents. Because the system contains Simon Willson’s lethal trifecta, it’s vulnerable to data theft though prompt injection. First, the trifecta: The lethal trifecta of capabilities is: Access to your private…

  • Simon Willison’s Weblog: Quoting Nick Turley

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/28/nick-turley/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Nick Turley Feedly Summary: We’ve seen the strong reactions to 4o responses and want to explain what is happening. We’ve started testing a new safety routing system in ChatGPT. As we previously mentioned, when conversations touch on sensitive and emotional topics the system may switch mid-chat…

  • Slashdot: Mistral’s New Plan for Improving Its AI Models: Training Data from Enterprises

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/09/27/1640203/mistrals-new-plan-for-improving-its-ai-models-training-data-from-enterprises?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mistral’s New Plan for Improving Its AI Models: Training Data from Enterprises Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Mistral, a Paris-based AI company, that focuses on enhancing AI models through partnerships with enterprises, leveraging their proprietary data for post-training. This approach addresses the challenges…

  • Simon Willison’s Weblog: How to stop AI’s “lethal trifecta”

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/26/how-to-stop-ais-lethal-trifecta/ Source: Simon Willison’s Weblog Title: How to stop AI’s “lethal trifecta” Feedly Summary: How to stop AI’s “lethal trifecta” This is the second mention of the lethal trifecta in the Economist in just the last week! Their earlier coverage was Why AI systems may never be secure on September 22nd – I…