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Detecting LLM-Generated Texts with "Classical" Machine Learning

Hacker News Top · 2026-07-16 Cached

A developer explores using classical machine learning to detect LLM-generated web fiction, creating an open-source demo and model with ~85% single-sentence accuracy.

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@Saccc_c: AIGC Direction Sharing 1: History Direction - Using AI to create historical shorts hits three emotional points of the audience: (1) Memory anchor: Many familiar scenes from childhood that have been seen or heard but never visualized now take shape for the first time. (2) Cultural heritage: Topics related to culture can evoke national pride and are algorithm-boosted. (3) Aesthetic...

X AI KOLs Following · 2026-06-20 Cached

Share three emotional triggers (memory anchor, cultural heritage, aesthetic fusion) for AIGC history video creation, pointing out that high-quality AIGC history videos easily get high likes on platforms.

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@aikangarooking: https://x.com/aikangarooking/status/2066919229153300990

X AI KOLs Timeline · 2026-06-16 Cached

袋鼠帝 shared two open-source AI skills he developed (viral-topic and viral-title) to help self-media creators quickly find low-follower viral topics across platforms and generate suitable titles. He also introduced the experience of using them in 办公小浣熊 桌面端2.0.

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@Saccc_c: 10 easy ways for ordinary people to seize opportunities in the AI era, one can easily make millions. 1. To C user-side AI communities, offline events, and third spaces, betting on ordinary people's need to connect with big shots and their anxiety about AI. 2. To B enterprise AI services, including AI Agent deployment, AI transit stations, etc., betting on companies' FOMO for AI transformation...

X AI KOLs Following · 2026-05-21 Cached

Lists 10 money-making directions for ordinary people in the AI era, including user-facing AI communities, enterprise AI services, arbitraging the information gap between China and the US, selling courses, vertical domain applications, AI company marketing, AIGC, AI variety shows, AI learning IP, and investing in AI stocks.

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@AYi_AInotes: Whoa, 6 months → 15 days! Semir used AI to rip the pants off the entire apparel industry. Seriously guys, after seeing Semir’s AI deployment, I’m stunned. Just in 2025, AI brought Semir hundreds of millions in confirmed collections, saved tens of millions on visuals, marketing, sample R&D, and crushed the new product cycle from 6 months all the way down to…

X AI KOLs Timeline · 2026-05-11

This article reports how Semir Group deeply integrated AI into over 400 business scenarios including supply chain, marketing, and visual design, successfully reducing new product development cycles from 6 months to 15 days, achieving tens of millions in cost savings and hundreds of millions in collections, demonstrating AI's real value in traditional manufacturing.

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MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

Hugging Face Daily Papers · 2026-04-16 Cached

MM-WebAgent is a hierarchical agentic framework that generates coherent and visually consistent webpages by coordinating AIGC-based element generation through joint optimization of layout and multimodal content. The paper introduces a benchmark and multi-level evaluation protocol, demonstrating improvements over code-generation and agent-based baselines.

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