Experimental News Clipping Site

Tag: training

  • Hacker News: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-max/ Source: Hacker News Title: Qwen2.5-Max: Exploring the Intelligence of Large-Scale Moe Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development and performance evaluation of Qwen2.5-Max, a large-scale Mixture-of-Expert (MoE) model pretrained on over 20 trillion tokens. It highlights significant advancements in model intelligence achieved through scaling…

  • Slashdot: DeepSeek Has Spent Over $500 Million on Nvidia Chips Despite Low-Cost AI Claims, SemiAnalysis Says

    —

    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/01/28/1315215/deepseek-has-spent-over-500-million-on-nvidia-chips-despite-low-cost-ai-claims-semianalysis-says?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek Has Spent Over $500 Million on Nvidia Chips Despite Low-Cost AI Claims, SemiAnalysis Says Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant market reaction to DeepSeek’s advancements in AI technology and its implications for Nvidia, highlighting the competitive dynamics in the AI sector.…

  • Cisco Talos Blog: New TorNet backdoor seen in widespread campaign

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.talosintelligence.com/new-tornet-backdoor-campaign/ Source: Cisco Talos Blog Title: New TorNet backdoor seen in widespread campaign Feedly Summary: Cisco Talos discovered an ongoing malicious campaign operated by a financially motivated threat actor targeting users, predominantly in Poland and Germany. AI Summary and Description: Yes **Summary:** The text describes a sophisticated ongoing cyber campaign discovered by Cisco…

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

    —

    by

    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: Quoting Jack Clark

    —

    by

    Kurt Seifried
    in

    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…

  • Slashdot: ‘AI Is Too Unpredictable To Behave According To Human Goals’

    —

    by

    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/01/28/0039232/ai-is-too-unpredictable-to-behave-according-to-human-goals?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ‘AI Is Too Unpredictable To Behave According To Human Goals’ Feedly Summary: AI Summary and Description: Yes Summary: The excerpt discusses the challenges of alignment and interpretability in large language models (LLMs), emphasizing that despite ongoing efforts to create safe AI, fundamental limitations may prevent true alignment. Professor Marcus…

  • Simon Willison’s Weblog: Quoting Ben Thompson

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/28/ben-thompson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ben Thompson Feedly Summary: H100s were prohibited by the chip ban, but not H800s. Everyone assumed that training leading edge models required more interchip memory bandwidth, but that is exactly what DeepSeek optimized both their model structure and infrastructure around. Again, just to emphasize this point,…

  • Wired: DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/deepseek-chatbot-hands-on-vs-chatgpt/ Source: Wired Title: DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot Feedly Summary: DeekSeek’s chatbot with the R1 model is a stunning release from the Chinese startup. While it’s an innovation in training efficiency, hallucinations still run rampant. AI Summary and Description: Yes **Summary:** The emergence of DeepSeek’s AI chatbot, which…

  • The Register: DeepSeek’s R1 curiously tells El Reg reader: ‘My guidelines are set by OpenAI’

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/27/deepseek_r1_identity/ Source: The Register Title: DeepSeek’s R1 curiously tells El Reg reader: ‘My guidelines are set by OpenAI’ Feedly Summary: Despite impressive benchmarks, the Chinese-made LLM is not without some interesting issues DeepSeek’s open source reasoning-capable R1 LLM family boasts impressive benchmark scores – but its erratic responses raise more questions about how…

  • Hacker News: The Illustrated DeepSeek-R1

    —

    by

    Kurt Seifried
    in

    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…