Why Can't It Be Done Today?
quietmoats.substack.comยท2dยท
Discuss: Substack
๐Ÿ“ŠRuntime Verification
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Deepities and Deepifuls
spencergreenberg.comยท2dยท
Discuss: Hacker News
โฑ๏ธComputational Complexity
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AI Capabilities May Be Overhyped on Bogus Benchmarks, Study Finds
gizmodo.comยท3dยท
Discuss: Hacker News
๐ŸŽฏComplexity Classes
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The Learning Loop and LLMs
martinfowler.comยท5dยท
๐ŸƒEscape Analysis
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KPIs Are Destroying IT Teams: How to Actually Measure Developer Performance
hackernoon.comยท2d
๐Ÿ”งDevOps
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Most DevSecOps Advice Is Useless without Contextโ€”Hereโ€™s What Actually Works
docker.comยท2dยท
Discuss: Hacker News
๐Ÿ”งDevOps
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Helios Engine v0.4.3 Update โ€” Smarter Tooling and Easier Initialization
dev.toยท2dยท
Discuss: DEV
๐Ÿ—๏ธDune
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Inferring multiple helper Dafny assertions with LLMs
arxiv.orgยท5d
๐Ÿ”Formal Verification
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built a desktop app for managing ci/cd pipelines across multiple providers (including argocd and tekton)
reddit.comยท2dยท
Discuss: r/kubernetes
๐Ÿ”งUnikernel Development
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High-Fidelity Simulation of Core-Collapse Supernova Neutrino Oscillations for Enhanced Energy Extraction Modeling
dev.toยท2dยท
Discuss: DEV
๐Ÿ”งDarwin Internals
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Long time lurker here, now I have been "forced" into this...
reddit.comยท2dยท
Discuss: r/homelab
๐Ÿ’ปQEMU
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OpenSIR: Open-Ended Self-Improving Reasoner
arxiv.orgยท5d
โœ“Automated Theorem Proving
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Understanding the Bridge Design Pattern in Go: A Practical Guide
reddit.comยท3dยท
Discuss: r/programming
๐Ÿ’ŽRefinement Types
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AI 2027: Imagining Our Superhuman Future
dev.toยท1dยท
Discuss: DEV
๐Ÿ”ฒCellular Automata
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Real-DRL: Teach and Learn in Reality
arxiv.orgยท5d
๐Ÿค–Robotics
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.orgยท4d
๐ŸงฉParser Combinators
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Periodic Skill Discovery
arxiv.orgยท3d
๐Ÿ“šAutomata Learning
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.toยท3hยท
Discuss: DEV
๐ŸŒActivityPub
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[RoastMyProject] My first App that's written in 100% Go and no JS
reddit.comยท2dยท
Discuss: r/golang
๐Ÿ”งDevOps
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MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems
dev.toยท2dยท
Discuss: DEV
๐Ÿ“šAutomata Learning
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