Formal Methods, Distributed Algorithms, Model Checking, Correctness

How Race Conditions Can Break Your System?
linkedin.comยท1dยท
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๐Ÿ›ก๏ธMemory Safety
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A new paradigm for programming: graph oriented programming
kmx.ioยท8hยท
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๐ŸชจRocksDB
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The state of SIMD in Rust in 2025
shnatsel.medium.comยท1dยท
๐Ÿ”€SIMD Programming
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Accumulating Context Changes the Beliefs of Language Models
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๐Ÿš€MLOps
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Transducer: Composition, Abstraction, Performance
funktionale-programmierung.deยท2dยท
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ฮปFunctional Programming
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Automate Slack workflows with LangGraph
scalekit.comยท1dยท
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โ˜๏ธCloudflare Workers
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Why your AI evals keep breaking
atla-ai.comยท2dยท
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๐Ÿ“ฑEdge AI
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Deep Learning-Driven Kinetic Resolution of Chiral Amino Acids via Engineered Artificial Metalloenzymes
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๐ŸงฌComputational Biology
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Computational Turing Test Reveals Systematic Differences Between Human and AI Language
arxiv.orgยท3h
๐Ÿ“Parsing
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Perceptions of AI Bad Behavior: Variations on Discordant Non-Performance
arxiv.orgยท3h
๐Ÿ”ฒCellular Automata
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Taming AI Hallucinations: Solving Physics with Reality Checks by Arvind Sundararajan
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๐Ÿ“ฑEdge AI
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๐Ÿง  Soft Architecture (Part B): Emotional Timers and the Code of Care (Part 5 of the SaijinOS series)
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๐Ÿ’ฌPrompt Engineering
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Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
arxiv.orgยท3d
๐Ÿ“ฑEdge AI
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Detached agent chains that work like people do
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๐Ÿค–Automation
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iFlyBot-VLA Technical Report
arxiv.orgยท2d
๐Ÿ“ฑEdge AI
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Will Large Language Models Transform Clinical Prediction?
arxiv.orgยท3h
๐Ÿ“NLP
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Rust Testing Framework: Build Reliable Code with Built-In Unit and Integration Tests
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๐Ÿฆ€Rust
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.orgยท3d
๐ŸŽฏHindley-Milner
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.orgยท3d
๐Ÿ’ฌPrompt Engineering
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