Crushing IR-Drop: How Smart Software is Revolutionizing AI Hardware Performance
dev.to·1d·
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AI hasn't seen widespread adoption because the labs are focusing on automating AI R&D
lesswrong.com·12h
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Preventing AI Project Failures Through Effective Prompt Engineering
launchdarkly.com·15h·
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Last Week in AI #326 - Qualcomm AI Chips, MiniMax M2, Kimi K2 Thinking
lastweekin.ai·7h
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Study identifies weaknesses in how AI systems are evaluated
dev.to·11h·
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Show HN: Spine AI – Visual workspace to think across multiple AI models
app.getspine.ai·8h·
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Model-Based GUI Automation (Springer SoSyM)
link.springer.com·6h·
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Need help with local AI build and using lots of compute
reddit.com·1d·
Discuss: r/LocalLLaMA
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·1d·
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Treat Your AI Assistant Like an Overconfident Junior Developer
shiftmag.dev·1d·
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AI's capabilities may be exaggerated by flawed tests, according to new study
nbcnews.com·3d·
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2 Years of ML vs. 1 Month of Prompting
levs.fyi·10h·
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PICABench: How Far Are We from Physically Realistic Image Editing?
paperium.net·4h·
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The Agentic Leap: Key Announcements and Demos from the Google I/O 2025 Developer Keynote
io.google·16h·
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Building an Intelligent System
pub.towardsai.net·1d
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Smart Chips, Steady Power: Boosting AI Performance with Voltage Drop Prediction
dev.to·17h·
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·10h·
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Forgetful giants versus personal confidants: how SSMs could reshape the AI market.
medium.com·5h·
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The 1 AI Trend That Will Create Thousands of Millionaires in Less Than 10 Years
fool.com·17h
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Show HN: Alignmenter – Measure brand voice and consistency across model versions
alignmenter.com·2h·
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