Tag: training

  • 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…

  • Slashdot: Meta Sets Up War Rooms To Analyze DeepSeek’s Tech

    Source URL: https://tech.slashdot.org/story/25/01/27/1648226/meta-sets-up-war-rooms-to-analyze-deepseeks-tech?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Sets Up War Rooms To Analyze DeepSeek’s Tech Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Meta’s strategic response to analyzing DeepSeek’s technology, a large-language model developed in China. This reflects competitive dynamics in the AI landscape, particularly in the realm of cost-effective model training…

  • 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…

  • The Register: Tech stocks tank as US AI dominance no longer a sure bet

    Source URL: https://www.theregister.com/2025/01/27/tech_stocks_tank_as_us/ Source: The Register Title: Tech stocks tank as US AI dominance no longer a sure bet Feedly Summary: Chinese startup DeepSeek rolls out open LLMs to rival Meta, OpenAI at fraction of cost Share prices for some of the biggest American tech brands that crested the AI hype waves crashed this morning…

  • CSA: Cloud Security for the Toxic Cloud Trilogy of Threats

    Source URL: https://www.tenable.com/blog/whos-afraid-of-a-toxic-cloud-trilogy Source: CSA Title: Cloud Security for the Toxic Cloud Trilogy of Threats Feedly Summary: AI Summary and Description: Yes Summary: The Tenable Cloud Risk Report 2024 addresses critical vulnerabilities in cloud computing, emphasizing the challenges organizations face in managing cloud security. It explores a concept termed the “toxic cloud trilogy,” highlighting unremediated…

  • 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…

  • Hacker News: The impact of competition and DeepSeek on Nvidia

    Source URL: https://youtubetranscriptoptimizer.com/blog/05_the_short_case_for_nvda Source: Hacker News Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a comprehensive assessment of the current state and future outlook of Nvidia in the AI hardware market, emphasizing their significant market position and potential vulnerabilities from emerging competition…

  • Hacker News: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…