:::info Astounding Stories of Super-Science, March, 1932, by Astounding Stories is part of HackerNoon’s Book Blog Post series. Title: Astounding Stories of Super-Science, March, 1932 Author: Astounding Stories Release Date: Jul 4, 2009 [EBook #29310] Language: English ::: TABLE OF LINKS Off to the Rendezvous The Coming of Ku Sui The Wave of a Handkerchief Soil The Color-Storm Port o’ Porno The Coming of Leithgow Dr. Ku Shows His Claws The Brain Speaks In the Visi-Screen Trapped in the […]

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John M. Smart suggests the universe may behave like a growing organism. It mixes random creativity (evolution) with guided development, gradually producing more complex intelligence—eventually technology and perhaps cosmic-scale minds. In this view, instead of being mere accidents, civilizations may actually be tiny steps as the universe learns how to think.

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We study stabilizer state testing and learning with limited coherent quantum memory. Here an algorithm sequentially receives copies of an unknown $n$-qubit state, but may keep only $k$ qubits of coherent quantum memory between measurements. With unrestricted memory, seminal work of Gross, Nezami and Walter showed how to test $n$-qubit stabilizer states using $6$ copies, which is dimension independent, unlike the learning complexity of $Θ(n)$. We show that this testing-vs-learning separation is lost under memory constraints. More concretely […]

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TL;DR: We evaluated 12 .NET libraries for Microsoft Word document processing, from the free Open XML SDK and NPOI through mid-range commercial options like [IronWord](), GemBox.Document, and Spire.Doc, to enterprise-grade Aspose.Words and Syncfusion DocIO. No single C# Word library wins across every dimension. Aspose.Words leads on features, Syncfusion DocIO on startup value (free community license), GemBox.Document on performance, IronWord on modern API design and Iron Suite synergy, and Open XML SDK on zero-cost freedom. This article gives you […]

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arXiv:2603.23527v1 Announce Type: new Abstract: Prompt compression is often evaluated by input-token reduction, but its real deployment impact depends on how compression changes output length and total inference cost. We present a controlled replication and extension study of benchmark-dependent output dynamics under aggressive compression, covering 5,400 API calls across three benchmarks and multiple providers. To explain conflicting prior observations, we formalize instruction survival probability (Psi), a structural metric that captures whether task-critical prompt segments remain after truncation. Results […]

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The code needed configuration values. AI GENERATED # config.pyDATABASE_URL = “postgresql://localhost/mydb”API_KEY = “sk_live_abc123″DEBUG = True# app.pyimport configdef connect_database(): return psycopg2.connect(config.DATABASE_URL)def call_api(endpoint): return requests.get(f”https://api.example.com/{endpoint}”, headers={‘X-API-Key’: config.API_KEY}) Clean. Simple. Every module could access configuration through import config. No passing parameters everywhere. Convenient. Then the bug reports started. “The app works fine on my machine but not in production.” “Tests pass locally but fail in CI.” “Feature works when run alone but breaks when run after other tests.” I couldn’t reproduce any of […]

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arXiv:2601.16390v1 Announce Type: new Abstract: Large language models exhibit strong multilingual capabilities, yet significant performance gaps persist between dominant and non-dominant languages. Prior work attributes this gap to imbalances between shared and language-specific neurons in multilingual representations. We propose Cross-Lingual Activation Steering (CLAS), a training-free inference-time intervention that selectively modulates neuron activations. We evaluate CLAS on classification and generation benchmarks, achieving average improvements of 2.3% (Acc.) and 3.4% (F1) respectively, while maintaining high-resource language performance. We discover that […]

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Large language models (LLMs) have become integral to enterprise applications across industries. Under the hood, customers’ inputs to the models are usually augmented with prompts that encode intricate business logic, regulatory requirements, and domain expertise: a healthcare system must use language compliant with the Health Insurance Portability and Accountability Act, for instance, and a financial trading system must follow risk tolerance rules. These prompts are typically crafted by domain experts over weeks or months. Yet business demands continue […]

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