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Exploiting Cloud-Based Computing Solutions for Business Agility
tessfkfc680563.webbuzzfeed.com·10h
🔗Microservices
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Epismo
producthunt.com·1d
🤖AI
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Managing Modern HPC Clusters and Supercomputers from Software to Hardware
link.springer.com·3h·
Discuss: Hacker News
🔗Microservices
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Leveraging LLMs to uncover the shifts transforming markets
afridi.io·7h·
Discuss: Hacker News
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“Reasoning with Sampling” — Notes on Karan & Du (2025)
kosti.bearblog.dev·12h
🛡️AI Safety
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Ask HN: Is AI code assistance fundamentally unenforceable without hooks?
news.ycombinator.com·4h·
Discuss: Hacker News
🤖AI
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Will the AI bubble burst as investors grow wary of returns?
dw.com·6h
🤖AI
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Using Knowledge Elicitation Techniques To Infuse Deep Expertise And Best Practices Into Generative AI
forbes.com·22h
🛡️AI Safety
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Kimi infra team: Quantization is not a compromise, it's the next paradigm
reddit.com·29m·
Discuss: r/LocalLLaMA
🛡️AI Safety
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Announcing “Computational Functionalism Debate” (soliciting paid feedback): Test your intuitions about consciousness
lesswrong.com·2d
🧠Philosophy of Mind
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·3d
🛡️AI Safety
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Had some fun building "Gaze Pong".. AI-generated faces that follow a pong ball 👀🏓
reddit.com·23h·
Discuss: r/webdev
🤖AI
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PiHMP Stack (v2) - The Phoenix Protocol Build Log
dev.to·6h·
Discuss: DEV
🔗Microservices
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What if your app's logic was written in... plain English? A crazy experiment with on-device LLMs!
dev.to·20h·
Discuss: DEV
🤖AI
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Insofar As I Think LLMs "Don't Really Understand Things", What Do I Mean By That?
lesswrong.com·1d
🧠Philosophy of Mind
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Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
paperium.net·13h·
Discuss: DEV
🛡️AI Safety
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Building Efficient Stream Processing Pipelines with Backpressure Control in Golang
dev.to·1d·
Discuss: DEV
🧵Concurrency
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OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
paperium.net·1d·
Discuss: DEV
🛡️AI Safety
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🧠Understanding 6 Common Data Formats in Cloud Data Analytics
dev.to·2h·
Discuss: DEV
🗄️Databases
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The Peril of Preference: Why GRPO fails on Ordinal Rewards
arxiv.org·3d
🛡️AI Safety
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