Tag: learning

  • Simon Willison’s Weblog: Quoting Jack Clark

    Source URL: https://simonwillison.net/2025/Jan/28/jack-clark-r1/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: The most surprising part of DeepSeek-R1 is that it only takes ~800k samples of ‘good’ RL reasoning to convert other models into RL-reasoners. Now that DeepSeek-R1 is available people will be able to refine samples out of it to convert any other…

  • Hacker News: Machine Learning in Production (CMU Course)

    Source URL: https://mlip-cmu.github.io/s2025/ Source: Hacker News Title: Machine Learning in Production (CMU Course) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a comprehensive Machine Learning in Production course offered at CMU for Spring 2025, emphasizing the development, deployment, and maintenance of ML systems while ensuring responsible AI practices. It integrates…

  • Hacker News: The Illustrated DeepSeek-R1

    Source URL: https://newsletter.languagemodels.co/p/the-illustrated-deepseek-r1 Source: Hacker News Title: The Illustrated DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of DeepSeek-R1, an advanced model in the machine learning and AI domain, highlighting its novel training approach, especially in reasoning tasks. This model presents significant insights into the evolving capabilities of…

  • Cloud Blog: Privacy-preserving Confidential Computing now on even more machines and services

    Source URL: https://cloud.google.com/blog/products/identity-security/privacy-preserving-confidential-computing-now-on-even-more-machines/ Source: Cloud Blog Title: Privacy-preserving Confidential Computing now on even more machines and services Feedly Summary: Organizations are increasingly using Confidential Computing to help protect their sensitive data in use as part of their data protection efforts. Today, we are excited to highlight new Confidential Computing capabilities that make it easier for…

  • Hacker News: How DeepSeek-R1 Was Built, for Dummies

    Source URL: https://www.vellum.ai/blog/the-training-of-deepseek-r1-and-ways-to-use-it Source: Hacker News Title: How DeepSeek-R1 Was Built, for Dummies Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek’s innovative approach to training reasoning models through pure reinforcement learning (RL) without labeled data. This breakthrough could significantly impact the development of AI, particularly in the realm of large…

  • CSA: How to Defend Against DGA-Based Attacks

    Source URL: https://www.zscaler.com/cxorevolutionaries/insights/understanding-domain-generation-algorithms-dgas Source: CSA Title: How to Defend Against DGA-Based Attacks Feedly Summary: AI Summary and Description: Yes **Summary**: This text provides an in-depth exploration of Domain Generation Algorithms (DGAs), a sophisticated method utilized by malware developers for communication with command and control (C2) servers. It highlights the challenges they pose for detection and…

  • Hacker News: Announcing support for DeepSeek-R1 in our IDE plugin, self-hosted by Qodo

    Source URL: https://www.qodo.ai/blog/qodo-gen-adds-self-hosted-support-for-deepseek-r1/ Source: Hacker News Title: Announcing support for DeepSeek-R1 in our IDE plugin, self-hosted by Qodo Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the competitive landscape of large language models (LLMs), particularly focusing on OpenAI’s o1 and DeepSeek’s R1, highlighting their advanced reasoning capabilities. It emphasizes the implications…

  • Simon Willison’s Weblog: The impact of competition and DeepSeek on Nvidia

    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-nvidia/ Source: Simon Willison’s Weblog Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: The impact of competition and DeepSeek on Nvidia Long, excellent piece by Jeffrey Emanuel capturing the current state of the AI/LLM industry. The original title is “The Short Case for Nvidia Stock" – I’m using the Hacker…