Tag: reinforcement

  • Google Online Security Blog: Mitigating prompt injection attacks with a layered defense strategy

    Source URL: http://security.googleblog.com/2025/06/mitigating-prompt-injection-attacks.html Source: Google Online Security Blog Title: Mitigating prompt injection attacks with a layered defense strategy Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses emerging security threats associated with generative AI, particularly focusing on indirect prompt injections that manipulate AI systems through hidden malicious instructions. Google outlines its layered security…

  • CSA: High-Profile AI Failures Teach Us About Resilience

    Source URL: https://cloudsecurityalliance.org/articles/when-ai-breaks-bad-what-high-profile-failures-teach-us-about-resilience Source: CSA Title: High-Profile AI Failures Teach Us About Resilience Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the vulnerabilities of artificial intelligence (AI) highlighted through significant real-world failures, emphasizing a new framework, the AI Resilience Benchmarking Model, developed by the Cloud Security Alliance (CSA). This model delineates methods…

  • OpenAI : Addendum to o3 and o4-mini system card: Codex

    Source URL: https://openai.com/index/o3-o4-mini-codex-system-card-addendum Source: OpenAI Title: Addendum to o3 and o4-mini system card: Codex Feedly Summary: Codex is a cloud-based coding agent. Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering. codex-1 was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that…

  • Simon Willison’s Weblog: Expanding on what we missed with sycophancy

    Source URL: https://simonwillison.net/2025/May/2/what-we-missed-with-sycophancy/ Source: Simon Willison’s Weblog Title: Expanding on what we missed with sycophancy Feedly Summary: Expanding on what we missed with sycophancy I criticized OpenAI’s initial post about their recent ChatGPT sycophancy rollback as being “relatively thin" so I’m delighted that they have followed it with a much more in-depth explanation of what…

  • Cloud Blog: Diving into the technology behind Google’s AI-era global network

    Source URL: https://cloud.google.com/blog/products/networking/google-global-network-technology-deep-dive/ Source: Cloud Blog Title: Diving into the technology behind Google’s AI-era global network Feedly Summary: The unprecedented growth and unique challenges of AI applications are driving fundamental architectural changes to Google’s next-generation global network.  The AI era brings an explosive surge in demand for network capacity, with novel traffic patterns characteristic of…

  • Simon Willison’s Weblog: Quoting Andriy Burkov

    Source URL: https://simonwillison.net/2025/Apr/6/andriy-burkov/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andriy Burkov Feedly Summary: […] The disappointing releases of both GPT-4.5 and Llama 4 have shown that if you don’t train a model to reason with reinforcement learning, increasing its size no longer provides benefits. Reinforcement learning is limited only to domains where a reward can…

  • Hacker News: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning

    Source URL: https://news.ycombinator.com/item?id=43537505 Source: Hacker News Title: Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a new service offered by Augento that provides fine-tuning for language models (LLMs) using reinforcement learning, enabling users to optimize AI agents for specific…

  • Wired: Amazon’s AGI Lab Reveals Its First Work: Advanced AI Agents

    Source URL: https://www.wired.com/story/amazon-ai-agents-nova-web-browsing/ Source: Wired Title: Amazon’s AGI Lab Reveals Its First Work: Advanced AI Agents Feedly Summary: Led by a former OpenAI executive, Amazon’s AI lab focuses on the decision-making capabilities of next generation of software agents—and borrows insights from physical robots. AI Summary and Description: Yes Summary: Amazon is making strides in artificial…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

    Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…