Experimental News Clipping Site

Tag: deep

  • Slashdot: OpenAI’s New Social Video App Will Let You Deepfake Your Friends

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/09/30/2028215/openais-new-social-video-app-will-let-you-deepfake-your-friends?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s New Social Video App Will Let You Deepfake Your Friends Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s launch of the Sora app highlights the emergence of AI-generated content in social media, allowing users to create and manage deepfake-style videos. This development raises significant implications for privacy…

  • AWS News Blog: Announcing Amazon ECS Managed Instances for containerized applications

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-ecs-managed-instances-for-containerized-applications/ Source: AWS News Blog Title: Announcing Amazon ECS Managed Instances for containerized applications Feedly Summary: Amazon ECS Managed Instances is a new compute option that eliminates infrastructure management overhead while giving you access to the broad suite of EC2 capabilities including the flexibility to select instance types, access reserved capacity, and advanced…

  • Cloud Blog: Forecasts and data insights come to BigQuery’s MCP and Agent Development Kit tools

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/ai-based-forecasting-and-analytics-in-bigquery-via-mcp-and-adk/ Source: Cloud Blog Title: Forecasts and data insights come to BigQuery’s MCP and Agent Development Kit tools Feedly Summary: For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July, we introduced a toolset to help AI agents interact with and analyze business…

  • Anchore: Can an LLM Really Fix a Bug? A Start-to-Finish Case Study

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/can-an-llm-really-fix-a-bug-a-start-to-finish-case-study/ Source: Anchore Title: Can an LLM Really Fix a Bug? A Start-to-Finish Case Study Feedly Summary: The software industry faces a growing problem: we have far more open issues than we have contributors multiplied by available time. Every project maintainer knows this pain. We certainly recognize this across our open source tools…

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

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    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…

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

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: Quoting Scott Aaronson

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/29/scott-aaronson/ Source: Simon Willison’s Weblog Title: Quoting Scott Aaronson Feedly Summary: Given a week or two to try out ideas and search the literature, I’m pretty sure that Freek and I could’ve solved this problem ourselves. Instead, though, I simply asked GPT5-Thinking. After five minutes, it gave me something confident, plausible-looking, and (I…