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  • Simon Willison’s Weblog: Qwen3-30B-A3B-Thinking-2507

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/30/qwen3-30b-a3b-thinking-2507/ Source: Simon Willison’s Weblog Title: Qwen3-30B-A3B-Thinking-2507 Feedly Summary: Qwen3-30B-A3B-Thinking-2507 Yesterday was Qwen3-30B-A3B-Instruct-2507. Qwen are clearly committed to their new split between reasoning and non-reasoning models (a reversal from Qwen 3 in April), because today they released the new reasoning partner to yesterday’s model: Qwen3-30B-A3B-Thinking-2507. I’m surprised at how poorly this reasoning mode…

  • Simon Willison’s Weblog: Qwen/Qwen3-30B-A3B-Instruct-2507

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/29/qwen3-30b-a3b-instruct-2507/ Source: Simon Willison’s Weblog Title: Qwen/Qwen3-30B-A3B-Instruct-2507 Feedly Summary: Qwen/Qwen3-30B-A3B-Instruct-2507 New model update from Qwen, improving on their previous Qwen3-30B-A3B release from late April. In their tweet they said: Smarter, faster, and local deployment-friendly. ✨ Key Enhancements: ✅ Enhanced reasoning, coding, and math skills ✅ Broader multilingual knowledge ✅ Improved long-context understanding (up…

  • Simon Willison’s Weblog: My 2.5 year old laptop can write Space Invaders in JavaScript now

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/29/space-invaders/ Source: Simon Willison’s Weblog Title: My 2.5 year old laptop can write Space Invaders in JavaScript now Feedly Summary: I wrote about the new GLM-4.5 model family yesterday – new open weight (MIT licensed) models from Z.ai in China which their benchmarks claim score highly in coding even against models such as…

  • Simon Willison’s Weblog: Qwen3-235B-A22B-Thinking-2507

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/25/qwen3-235b-a22b-thinking-2507/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-235B-A22B-Thinking-2507 Feedly Summary: Qwen3-235B-A22B-Thinking-2507 The third Qwen model release week, following Qwen3-235B-A22B-Instruct-2507 on Monday 21st and Qwen3-Coder-480B-A35B-Instruct on Tuesday 22nd. Those two were both non-reasoning models – a change from the previous models in the Qwen 3 family which combined reasoning and non-reasoning in the same model,…

  • Simon Willison’s Weblog: Qwen3-Coder: Agentic Coding in the World

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-coder/ Source: Simon Willison’s Weblog Title: Qwen3-Coder: Agentic Coding in the World Feedly Summary: Qwen3-Coder: Agentic Coding in the World It turns out that as I was typing up my notes on Qwen3-235B-A22B-Instruct-2507 the Qwen team were unleashing something much bigger: Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder…

  • Simon Willison’s Weblog: Qwen/Qwen3-235B-A22B-Instruct-2507

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/22/qwen3-235b-a22b-instruct-2507/#atom-everything Source: Simon Willison’s Weblog Title: Qwen/Qwen3-235B-A22B-Instruct-2507 Feedly Summary: Qwen/Qwen3-235B-A22B-Instruct-2507 Significant new model release from Qwen, published yesterday without much fanfare. This is a follow-up to their April release of the full Qwen 3 model family, which included a Qwen3-235B-A22B model which could handle both reasoning and non-reasoning prompts (via a /no_think toggle).…

  • Simon Willison’s Weblog: moonshotai/Kimi-K2-Instruct

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jul/11/kimi-k2/#atom-everything Source: Simon Willison’s Weblog Title: moonshotai/Kimi-K2-Instruct Feedly Summary: moonshotai/Kimi-K2-Instruct Colossal new open weights model release today from Moonshot AI, a two year old Chinese AI lab with a name inspired by Pink Floyd’s album The Dark Side of the Moon. My HuggingFace storage calculator says the repository is 958.52 GB. It’s a…

  • Cloud Blog: Zero-shot forecasting in BigQuery with the TimesFM foundation model

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-timesfm-models-now-in-preview/ Source: Cloud Blog Title: Zero-shot forecasting in BigQuery with the TimesFM foundation model Feedly Summary: Accurate time-series forecasting is essential for many business scenarios such as planning, supply chain management, and resource allocation. BigQuery now embeds TimesFM, a state-of-the-art pre-trained model from Google Research, enabling powerful forecasting via the simple AI.FORECAST function.…