🤖 AI Agents

Autonomous Systems, Multi-Agent Frameworks, LangChain, Tool Use

Convert from Qt to Qt for MCU – Qt AI Assistant 0.9.7 released
qt.io·3h
🤖AI
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The Vogue Business AI Tracker
vogue.com·2d
🤖AI
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Work in 2050 – Three German Scenarios
znetwork.org·19h
⚖️AI Governance
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Training GPT in Sheets
zalex.co·1d·
Discuss: Hacker News
🧠Machine Learning
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BugMagnet AI Assistant
github.com·1h·
Discuss: Hacker News
🤖AI
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Terminal-Bench 2.0 launches alongside Harbor, a new framework for testing agents in containers
venturebeat.com·5d
⚖️AI Governance
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Last Week in AI #326 - Qualcomm AI Chips, MiniMax M2, Kimi K2 Thinking
lastweekin.ai·3d
⚖️AI Governance
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Keynote: Scaling Geo-Temporal ML: How Pokémon Go Optimizes Global Gameplay With... Y. Liu & A. Zhang
youtube.com·1d
🧠Machine Learning
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Nx vs. Turborepo: Integrated Ecosystem or High-Speed Task Runner? The Key Decision for Your Monorepo
dev.to·1d·
Discuss: DEV
⛓️Blockchain
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AI Memory: Enabling The Next Era Of High-Performance Computing
semiengineering.com·2d
🏦DeFi
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The scientist who taught AI to see now wants it to understand space
the-decoder.com·1d
🤖AI
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Rethinking the Proxy Model: Implementing Envoy as a Node-Scoped Agent - Tony Allen, Google
youtube.com·1d
⛓️Blockchain
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I Built a $0/month Autonomous QA Agent That Writes Tests for My Team Using Claude Code + Self-Hosted GitLab
reddit.com·1d·
Discuss: r/devops
🤖AI
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Imagine changing your app's behaviour... without changing the code. (Part 2)
lnkd.in·1d·
Discuss: DEV
🤖AI
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Top Use Cases of AI in Ecommerce Built by Expert Development Companies
dev.to·3h·
Discuss: DEV
⚖️AI Governance
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baidu/ERNIE-4.5-VL-28B-A3B-Thinking released. Curious case..
huggingface.co·2d·
Discuss: r/LocalLLaMA
🤖AI
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Building AI-Powered BSS: A Developer’s Perspective on Telecom’s Next Evolution
dev.to·3d·
Discuss: DEV
⚖️AI Governance
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Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation
arxiv.org·8h
🧠Machine Learning
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How AI SEO is Transforming Technical Optimization for Developers
dev.to·4h·
Discuss: DEV
🧠Machine Learning
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Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
arxiv.org·2d
🧠Machine Learning
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