Which AI’s Might be Conscious, and Why it Matters (guest post)
dailynous.com·10h
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Architectures of the AI Mind
artificiallyintelligentspace.substack.com·9h·
Discuss: Substack
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IDC's Worldwide AI and Generative AI Spending – Industry Outlook
blogs.idc.com·1d·
Discuss: Hacker News
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QuAnTS: Question Answering on Time Series
arxiv.org·1h
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Gen AI Is Going Mainstream: Here’s What’s Coming Next
joshbersin.com·1d
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Agent HQ: Integrating AI Agents Natively into the GitHub Workflow
dev.to·16h·
Discuss: DEV
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🚀 Building a Job Search Agent with Mastra, Google Gemini, and A2A Protocol
dev.to·20h·
Discuss: DEV
🏇Horse riding
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💻Your GitHub Speaks Louder Than Your Resume: A Tiger Cloud Story🐅
dev.to·50m·
Discuss: DEV
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ArahiAI – A no-code platform for building AI agents that take real actions
news.ycombinator.com·1d·
Discuss: Hacker News
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Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive OnlineExploration for Deep Research Agents
dev.to·20h·
Discuss: DEV
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AI's 70% Problem
zed.dev·4d·
Discuss: Lobsters, Hacker News
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RAG vs Fine‑Tuning: A Simple, Practical Guide for Beginners
dev.to·7h·
Discuss: DEV
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What we learned running the industry’s first AI code review benchmark
devinterrupted.substack.com·2d·
Discuss: r/programming
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AI's Blind Spot: Why Language Identification is Harder Than You Think by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
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MCP was the wrong abstraction for AI agents
getateam.org·11h·
Discuss: Hacker News
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RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval AugmentedGeneration Systems
paperium.net·1d·
Discuss: DEV
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Case Study: Improving Developer Productivity with AI Code Detection Solutions
dev.to·3d·
Discuss: DEV
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LLMs Talking in Tongues: A New Era of Semantic AI Collaboration?
dev.to·1d·
Discuss: DEV
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Book review: “Build a DeepSeek Model (From Scratch)”
dev.to·1d·
Discuss: DEV
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Understanding AI: From LLMs to MCP
dev.to·11h·
Discuss: DEV
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