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LFM2.5: The Laptop AI That Knew It Was Being Tested
How to use X-ray to scrape and crawl websites
ThinkingCap Qwen 3.8 27B tested - 16GB Local LLM setup
Atlanta Tech Summit Panel: Lessons From the Front Lines of Agentic AI
Keynote: Langfuse
My Fancy AI Coding Workflow Was Making Me Slower
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Last Updated: October 16, 2026
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Summary
This video locally installs and tests LFM2.5-24B-A2B; built for fast, private agents on-device. Weekly AI Newsletter: ... In this video, I test Liquid AI's latest 24B Mixture-of-Experts (MoE) model on my Mac mini M6, exploring its real-world performance, ... LFM2.5 24B A2B is open weight MoE by Liquid AI that claims similar quality to Qwen3.6 35B and Gemma 4 26B. Is it and should ... For twenty-five years, Ben Reason and Lavrans Løvlie have been trying to give services the design quality people already expect ... During training, Liquid AI's new model ran git log, saw one commit, and decided it was in a mocked environment. Learn how to use X-ray node package to crawl websites! github.com/ After some good results from ThinkingCap 3.6 I am looking forward to testing the new finetune for Qwen 3.8 27B. I run through a ... AI is reshaping the database market. Agents query more, faster, and at greater scale than any workload before them. I built a pretty elaborate AI coding workflow around OpenCode: worktrees, issue tracking, compaction rules, Telegram notifications ...