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Tag: benchmark

  • Google Online Security Blog: How we kept the Google Play & Android app ecosystems safe in 2024

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    Kurt Seifried
    in

    Source URL: https://security.googleblog.com/2025/01/how-we-kept-google-play-android-app-ecosystem-safe-2024.html Source: Google Online Security Blog Title: How we kept the Google Play & Android app ecosystems safe in 2024 Feedly Summary: AI Summary and Description: Yes Summary: The text outlines Google’s ongoing initiatives for enhancing security and privacy within the Android and Google Play ecosystem in 2024. Key highlights include the integration…

  • Slashdot: After DeepSeek Shock, Alibaba Unveils Rival AI Model That Uses Less Computing Power

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/29/184223/after-deepseek-shock-alibaba-unveils-rival-ai-model-that-uses-less-computing-power?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: After DeepSeek Shock, Alibaba Unveils Rival AI Model That Uses Less Computing Power Feedly Summary: AI Summary and Description: Yes Summary: Alibaba’s unveiling of the Qwen2.5-Max AI model highlights advancements in AI performance achieved through a more efficient architecture. This development is particularly relevant to AI security and infrastructure…

  • Hacker News: An Analysis of DeepSeek’s R1-Zero and R1

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    Kurt Seifried
    in

    Source URL: https://arcprize.org/blog/r1-zero-r1-results-analysis Source: Hacker News Title: An Analysis of DeepSeek’s R1-Zero and R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implications and potential of the R1-Zero and R1 systems from DeepSeek in the context of AI advancements, particularly focusing on their competitive performance against existing LLMs like OpenAI’s…

  • Hacker News: How to run DeepSeek R1 locally

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    Kurt Seifried
    in

    Source URL: https://workos.com/blog/how-to-run-deepseek-r1-locally Source: Hacker News Title: How to run DeepSeek R1 locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** DeepSeek R1 is an open-source large language model (LLM) designed for local deployment to enhance data privacy and performance in conversational AI, coding, and problem-solving tasks. Its capability to outperform OpenAI’s flagship model…

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

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    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…

  • The Register: DeepSeek isn’t done yet with OpenAI – image-maker Janus Pro is gunning for DALL-E 3

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/27/deepseek_image_openai/ Source: The Register Title: DeepSeek isn’t done yet with OpenAI – image-maker Janus Pro is gunning for DALL-E 3 Feedly Summary: Crouching tiger, hidden layer(s) Barely a week after DeepSeek’s R1 LLM turned Silicon Valley on its head, the Chinese outfit is back with a new release it claims is ready to…

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

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL!

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/27/qwen25-vl-qwen25-vl-qwen25-vl/ Source: Simon Willison’s Weblog Title: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Feedly Summary: Qwen2.5 VL! Qwen2.5 VL! Qwen2.5 VL! Hot on the heels of yesterday’s Qwen2.5-1M, here’s Qwen2.5 VL (with an excitable announcement title) – the latest in Qwen’s series of vision LLMs. They’re releasing multiple versions: base models and instruction tuned…

  • Slashdot: DeepSeek Piles Pressure on AI Rivals With New Image Model Release

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/01/27/190204/deepseek-piles-pressure-on-ai-rivals-with-new-image-model-release?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek Piles Pressure on AI Rivals With New Image Model Release Feedly Summary: AI Summary and Description: Yes Summary: DeepSeek, a Chinese AI startup, has introduced Janus Pro, a series of open-source multimodal models that reportedly outshine OpenAI’s DALL-E 3 and Stable Diffusion. These models are aimed at enhancing…

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

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    Kurt Seifried
    in

    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…