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Tag: math

  • The Cloudflare Blog: Over 700 million events/second: How we make sense of too much data

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/how-we-make-sense-of-too-much-data/ Source: The Cloudflare Blog Title: Over 700 million events/second: How we make sense of too much data Feedly Summary: Here we explain how we made our data pipeline scale to 700 million events per second while becoming more resilient than ever before. We share some math behind our approach and some of…

  • New York Times – Artificial Intelligence : In Seattle, a Meeting of 5,444 Mathematical Minds

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    Kurt Seifried
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    Source URL: https://www.nytimes.com/2025/01/28/science/mathematics-ai-conference-jmm.html Source: New York Times – Artificial Intelligence Title: In Seattle, a Meeting of 5,444 Mathematical Minds Feedly Summary: Participants at this year’s Joint Mathematics Meetings explored everything from the role of A.I. to the hyperbolic design of a patchwork denim skirt. AI Summary and Description: Yes Summary: The text discusses the Joint…

  • Hacker News: Open-R1: an open reproduction of DeepSeek-R1

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    Kurt Seifried
    in

    Source URL: https://huggingface.co/blog/open-r1 Source: Hacker News Title: Open-R1: an open reproduction of DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the release of DeepSeek-R1, a language model that significantly enhances reasoning capabilities through advanced training techniques, including reinforcement learning. The Open-R1 project aims to replicate and build upon DeepSeek-R1’s methodologies…

  • Simon Willison’s Weblog: Anomalous Tokens in DeepSeek-V3 and r1

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/anomalous-tokens-in-deepseek-v3-and-r1/#atom-everything Source: Simon Willison’s Weblog Title: Anomalous Tokens in DeepSeek-V3 and r1 Feedly Summary: Anomalous Tokens in DeepSeek-V3 and r1 Glitch tokens (previously) are tokens or strings that trigger strange behavior in LLMs, hinting at oddities in their tokenizers or model weights. Here’s a fun exploration of them across DeepSeek v3 and R1.…

  • The Register: China’s DeepSeek just dropped a free challenger to OpenAI’s o1 – here’s how to use it on your PC

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/26/deepseek_r1_ai_cot/ Source: The Register Title: China’s DeepSeek just dropped a free challenger to OpenAI’s o1 – here’s how to use it on your PC Feedly Summary: El Reg digs its claws into Middle Kingdom’s latest chain of thought model Hands on Chinese AI startup DeepSeek this week unveiled a family of LLMs it…

  • Wired: How Chinese AI Startup DeepSeek Made a Model that Rivals OpenAI

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    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/deepseek-china-model-ai/ Source: Wired Title: How Chinese AI Startup DeepSeek Made a Model that Rivals OpenAI Feedly Summary: When Chinese quant hedge fund founder Liang Wenfeng went into AI research, he took 10,000 Nvidia chips and assembled a team of young, ambitious talent. Two years later, DeepSeek exploded on the scene. AI Summary and…

  • Slashdot: Cutting-Edge Chinese ‘Reasoning’ Model Rivals OpenAI O1

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/21/2138247/cutting-edge-chinese-reasoning-model-rivals-openai-o1?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Cutting-Edge Chinese ‘Reasoning’ Model Rivals OpenAI O1 Feedly Summary: AI Summary and Description: Yes Summary: The release of DeepSeek’s R1 model family marks a significant advancement in the availability of high-performing AI models, particularly in the realms of math and coding tasks. With an open MIT license, these models…

  • Hacker News: Some Lessons from the OpenAI FrontierMath Debacle

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    Kurt Seifried
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    Source URL: https://www.lesswrong.com/posts/8ZgLYwBmB3vLavjKE/some-lessons-from-the-openai-frontiermath-debacle Source: Hacker News Title: Some Lessons from the OpenAI FrontierMath Debacle Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenAI’s announcement of the o3 model showcased a remarkable achievement in reasoning and math, scoring 25% on the FrontierMath benchmark. However, subsequent implications regarding transparency and the potential misuse of exclusive access…