Experimental News Clipping Site

Tag: cross

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

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    Kurt Seifried
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    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…

  • Hacker News: Curl Project and Go Security Teams Reject CVSS as Broken

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    Kurt Seifried
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    Source URL: https://socket.dev/blog/curl-project-and-go-security-teams-reject-cvss-as-broken Source: Hacker News Title: Curl Project and Go Security Teams Reject CVSS as Broken Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The debate surrounding the efficacy of the Common Vulnerability Scoring System (CVSS) is intensifying, particularly as key projects like cURL and Go distance themselves from it, advocating for context-driven…

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

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    Kurt Seifried
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    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…

  • Slashdot: Bad Week for Unoccupied Waymo Cars: One Hit in Fatal Collision, One Vandalized by Mob

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/01/26/2150209/bad-week-for-unoccupied-waymo-cars-one-hit-in-fatal-collision-one-vandalized-by-mob?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Bad Week for Unoccupied Waymo Cars: One Hit in Fatal Collision, One Vandalized by Mob Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant incident involving a self-driving car from Waymo that was involved in a fatal accident, marking a historic event in the realm…

  • Simon Willison’s Weblog: Quoting Paul Gauthier

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/26/paul-gauthier/ Source: Simon Willison’s Weblog Title: Quoting Paul Gauthier Feedly Summary: In my experience with AI coding, very large context windows aren’t useful in practice. Every model seems to get confused when you feed them more than ~25-30k tokens. The models stop obeying their system prompts, can’t correctly find/transcribe pieces of code in…

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

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    Kurt Seifried
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    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.…

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

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    Kurt Seifried
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    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

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    Kurt Seifried
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    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…

  • Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…