Generative AI

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Alibaba's New 27B Vision AI Model Runs on Laptops But Overthinks Simple Tasks

Alibaba's New 27B Vision AI Model Runs on Laptops But Overthinks Simple Tasks

Aug 17, 2026
Simon Willison’s Weblog

Alibaba's new Qwen 3.8 27B vision AI model runs on consumer laptops as a 17GB file, delivering impressive code generation and image analysis capabilities, but its default 'xhigh' reasoning setting causes excessive overthinking on simple tasks, and speed remains limited at 15–30 tokens per second — though a 72% boost …

New Open-Source Tool 'Soup' Lets Developers Fine-Tune 8B AI Models on a 4GB Laptop GPU With a Single Command

New Open-Source Tool 'Soup' Lets Developers Fine-Tune 8B AI Models on a 4GB Laptop GPU With a Single Command

Aug 17, 2026
GitHub

A new open-source tool called 'Soup' is revolutionizing AI development by allowing developers to fine-tune massive 8-billion parameter language models on a standard 4GB laptop GPU using a single command, thanks to a breakthrough 'layer streaming' technique that achieves 119.6 tokens per second at just 3.32 GB peak VRAM.

Only 15% of Companies Successfully Scale AI Agents as Data Gaps and Integration Failures Hold Businesses Back

Only 15% of Companies Successfully Scale AI Agents as Data Gaps and Integration Failures Hold Businesses Back

Aug 17, 2026
The Deep View

Only 15% of companies successfully scale AI agents despite widespread testing, as a new Deloitte survey exposes a critical gap between enterprise ambitions and real-world deployment, with legacy data systems, integration failures, and fragmented data blocking progress for the majority of businesses.

Chinese AI Giants DeepSeek, Alibaba, and Z.ai Challenge US Dominance With Cheaper, Open-Source Enterprise Models

Chinese AI Giants DeepSeek, Alibaba, and Z.ai Challenge US Dominance With Cheaper, Open-Source Enterprise Models

Aug 17, 2026
The Deep View

Chinese AI giants DeepSeek, Alibaba, and Z.ai are shaking up the enterprise AI market with cheaper, open-source models targeting coding and agentic workloads, directly challenging US leaders like OpenAI and Anthropic, though serious security concerns and trust issues remain significant obstacles to widespread adoption.

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