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Autonomous Agents, Task Planning, Self-Prompting, Goal-Oriented AI

Models, Agents and Prompt Injections – Some Experiments
veganmosfet.github.io·1d·
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Why AI Won't Save Your PLG Strategy (But It's Changing How I Find It)
ksred.com·1d·
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When Will We Make God?
unchartedterritories.tomaspueyo.com·1d
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Project Delivery Requires AI Orchestration Systems, Not Mere Tools—Founder in Charge of Project...
thedigitalprojectmanager.com·1d
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TDS Newsletter: The Theory and Practice of Using AI Effectively
towardsdatascience.com·6d
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Why 95% of AI Pilots Fail — and What the Other 5% Do Differently
salesforce.com·7h
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AI Isn't Alchemy: Not Mystical, Just Messy
craftedlogiclab.com·3d·
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Static Sandboxes Are Inadequate: Modeling Societal Complexity RequiresOpen-Ended Co-Evolution in LLM-Based Multi-Agent Simulatio
paperium.net·2h·
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Edge-to-Cloud Swarm Coordination for planetary geology survey missions with ethical auditability baked in
dev.to·2d·
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Synthesizing Agentic Data for Web Agents with Progressive Difficulty EnhancementMechanisms
dev.to·4d·
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AI News: Fri, Nov 07, 2025
dev.to·5d·
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·3d·
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AI agents complete human work 88% faster but with significant quality gaps, new study finds
ppc.land·2d·
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Navigating the Ethics of AI: Lessons from 2025
dev.to·10h·
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Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
arxiv.org·2d
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The Prompt Engineer is Dead. Long Live the AI Systems Architect.
dev.to·15h·
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AI Hive Mind: Building Shared Mental Spaces for Smarter Swarms
dev.to·3d·
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SERL: Self-Examining Reinforcement Learning on Open-Domain
arxiv.org·19h
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Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
arxiv.org·1d
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Why Language Models Are “Lost in the Middle”
pub.towardsai.net·2d
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