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Tag: R1

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

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    Kurt Seifried
    in

    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,…

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • SDxCentral: Cloud Security Alliance Issues Expanded Specification for the Software-Defined Perimeter (SDP)

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    Kurt Seifried
    in

    Source URL: https://news.google.com/rss/articles/CBMi0AFBVV95cUxOa0dNbTZyY3JXUG5mYlJtVGZMNEV6cElLNnRNYnJCaHRrMlgzN0RyODVGN1Y1Vm9JY2xqazBuMGp3Uzl0TjREYjlhSWdVZGtLRmo5dXM1R1M3VDUzanJVTV9xeHkwV0RJUVJrNUNIbHZSMldTUXpvcG9ieFFlRFNOM0dOSFlsNWhhR0Ytc1hLUzRfMW95dzg0a1FNakpCV2FIVDhyNEV2aVBVUVRYZFVwLTVkMURJbnV1bHBLajBNNFozY3dkNDgzLXdPQjh0MC1U?oc=5 Source: SDxCentral Title: Cloud Security Alliance Issues Expanded Specification for the Software-Defined Perimeter (SDP) Feedly Summary: Cloud Security Alliance Issues Expanded Specification for the Software-Defined Perimeter (SDP) AI Summary and Description: Yes Summary: The text pertains to an important development in cloud security, specifically regarding the Software-Defined Perimeter (SDP) framework. The Cloud…

  • Cloud Blog: Build with more flexibility: New open models arrive in the Vertex AI Model Garden

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deepseek-r1-is-available-for-everyone-in-vertex-ai-model-garden/ Source: Cloud Blog Title: Build with more flexibility: New open models arrive in the Vertex AI Model Garden Feedly Summary: In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in…

  • Cloud Blog: This migration from Snowflake to BigQuery accelerated model building and cut costs in half

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/smarterx-migrating-to-bigquery-from-snowflake-cut-costs-in-half/ Source: Cloud Blog Title: This migration from Snowflake to BigQuery accelerated model building and cut costs in half Feedly Summary: In 2024, retail sales for consumer packaged goods were worth $7.5 trillion globally. Their sheer variety — from cosmetics to clothing, frozen vegetables to vitamins  — is hard to fathom. And distribution…

  • 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: AbsenceBench: Language Models Can’t Tell What’s Missing

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/20/absencebench/#atom-everything Source: Simon Willison’s Weblog Title: AbsenceBench: Language Models Can’t Tell What’s Missing Feedly Summary: AbsenceBench: Language Models Can’t Tell What’s Missing Here’s another interesting result to file under the “jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive. Long context models have been getting increasingly good at passing "Needle…