The AI Engineer's Guide to Surviving the EU AI Act • Larysa Visengeriyeva & Barbara Lampl • GOTO 25
youtube.com·17h
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·1h
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Stop Coding and Start Planning
kill-the-newsletter.com·14h
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Marketers: Stop Anthropomorphizing AI, Learn What It Actually Does Under the Hood
cmswire.com·17h
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RefusalBench: Generative Evaluation of Selective Refusal in Grounded LanguageModels
paperium.net·1h·
Discuss: DEV
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Some thoughts on AI and coding
infoworld.com·1d
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What’s the best way of giving LLM the right context?
reddit.com·8h·
Discuss: r/LLM
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If your AI investments are stalling, it’s a context problem
nordot.app·18h
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AI Native Architecture: Intelligence by Design
sumant.bearblog.dev·1d·
Discuss: Hacker News
🏗System design
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Reflection
alexpolozov.com·11h·
Discuss: Hacker News
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Minimizing Loss ≠ Maximizing Intelligence
lesswrong.com·2h
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LLM vs RAG vs Agent Workbook
byhand.ai·7h
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The 5 FREE Must-Read Books for Every LLM Engineer
kdnuggets.com·1d
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
app.coderabbit.ai·1d·
Discuss: DEV
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·3d·
Discuss: Hacker News
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·1d·
Discuss: Hacker News
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Tool-Driven Behavioral Directives: How to Scale LLM Agents Without Prompt Spaghetti
dev.to·4h·
Discuss: DEV
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From vibe coding to context engineering: 2025 in software development
technologyreview.com·1d·
Discuss: Hacker News
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