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Tag: 32B

  • Simon Willison’s Weblog: Kimi-K2-Instruct-0905

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/6/kimi-k2-instruct-0905/#atom-everything Source: Simon Willison’s Weblog Title: Kimi-K2-Instruct-0905 Feedly Summary: Kimi-K2-Instruct-0905 New not-quite-MIT licensed model from Chinese Moonshot AI, a follow-up to the highly regarded Kimi-K2 model they released in July. This one is an incremental improvement – I’ve seen it referred to online as “Kimi K-2.1". It scores a little higher on a…

  • Simon Willison’s Weblog: OpenAI’s new open weight (Apache 2) models are really good

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/5/gpt-oss/ Source: Simon Willison’s Weblog Title: OpenAI’s new open weight (Apache 2) models are really good Feedly Summary: The long promised OpenAI open weight models are here, and they are very impressive. They’re available under proper open source licenses – Apache 2.0 – and come in two sizes, 120B and 20B. OpenAI’s own…

  • Simon Willison’s Weblog: XBai o4

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/3/xbai-o4/#atom-everything Source: Simon Willison’s Weblog Title: XBai o4 Feedly Summary: XBai o4 Yet another open source (Apache 2.0) LLM from a Chinese AI lab. This model card claims: XBai o4 excels in complex reasoning capabilities and has now completely surpassed OpenAI-o3-mini in Medium mode. This a 32.8 billion parameter model released by MetaStone…

  • Simon Willison’s Weblog: More model releases on 31st July

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/31/more-models/ Source: Simon Willison’s Weblog Title: More model releases on 31st July Feedly Summary: Here are a few more model releases from today, to round out a very busy July: Cohere released Command A Vision, their first multi-modal (image input) LLM. Like their others it’s open weights under Creative Commons Attribution Non-Commercial, so…

  • Slashdot: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/07/04/1521245/simple-text-additions-can-fool-advanced-ai-reasoning-models-researchers-find Source: Slashdot Title: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The research highlights a significant vulnerability in state-of-the-art reasoning AI models through the “CatAttack” technique, which attaches irrelevant phrases to math problems, leading to higher error rates and inefficient responses.…

  • Simon Willison’s Weblog: deepseek-ai/DeepSeek-R1-0528

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/31/deepseek-aideepseek-r1-0528/ Source: Simon Willison’s Weblog Title: deepseek-ai/DeepSeek-R1-0528 Feedly Summary: deepseek-ai/DeepSeek-R1-0528 Sadly the trend for terrible naming of models has infested the Chinese AI labs as well. DeepSeek-R1-0528 is a brand new and much improved open weights reasoning model from DeepSeek, a major step up from the DeepSeek R1 they released back in January.…

  • Simon Willison’s Weblog: Devstral

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…