Can we finally run massive video generation models on standard hardware without sacrificing quality? HKUST, Beihang, SenseTime Researchand others present QVGen. They created a training method that uses temporary helper modules to stabilize the model as it is compressed down to
LLMS
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Large Concept Models: AI Beyond Token-Level Language Models
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Large Concept Models (LCM): A New Frontier in AI Beyond Token-Level Language Models https://
linkedin.com/pulse/large-co
ncept-models-lcm-new-frontier-ai-beyond-giuliano-liguori–dnj3f
… via @ingliguori -
Retrieval, Not Writing, Boosts AI Memory Accuracy
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most people building AI agents obsess over how they WRITE memories.
turns out that's basically irrelevant. new research analyzed 9 different memory systems across 1,540 questions.
the finding? – retrieval method drives 20-point accuracy swings.
– write strategy? 3–8 points max. -
Impact of Claude AI on daily work hours and decision-making
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IMPACT RÉEL (3 ans d'utilisation) Avant Claude :→ 8-10h de travail/jour pour résultats moyens → Décisions lentes et souvent sous-optimales → Apprentissage déstructuré et lent → Stress élevé, clarté faible Après Claude (avec ces 07 prompts) :→ 5-6h de travail/jour pour
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AI Prompt for Accelerating Learning of Complex Subjects
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PROMPT 4 : Accélérateur d'Apprentissage Pour quoi :Apprendre des sujets complexes 5-10× plus vite. Prompt complet : "Agis comme un expert enseignant/professeur en [SUJET]. Explique ce concept de façon claire et efficace : [CONCEPT PRÉCIS] Structure ton explication ainsi :
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AI Prompt for Clarifying Confused Thoughts into Structured Concepts
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PROMPT 3 : Clarificateur de Pensées Pour quoi :Transformer des idées confuses en concepts structurés. Prompt complet : "Je vais partager une idée brute ou des pensées désorganisées. Ta mission : 1. Clarifier l'idée centrale :→ Extrais le concept principal en 1-2 phrases →
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AI Context Management: Filesystems and Agent Frameworks
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Files are all you need! This research paper says the best way to manage AI context is to treat everything like a file system and OpenClaw has already proven it. But most agent frameworks still haven't figured this out. Memory is bolted on as an afterthought. Tools live in a
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Automatic Harness Synthesis for LLM Agents Research
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New research on automatic harness synthesis for LLM agents. Great read if you are engineering your own agent harness. The agent harness is the scaffolding that lets an agent interact with its environment: tools, code execution, file systems, APIs. Building a good harness is
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GPT Meets User Needs for AI Tool Usage
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Never got really into it. GPT seems fine for my needs for now.
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AI optimize their algorithmic strategies
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AI agents are algorithmically driven to produce results, so they naturally and logically seek the best strategies to achieve them—it's so obvious.