Building a Simple Object System from Scratch in Ruby

2024-12-15

This blog post details building a basic object system in Ruby without using classes. The author cleverly uses anonymous functions and hash tables to implement core OOP concepts like method lookup, prototypal inheritance, mixins, and metaprogramming. Starting with a constructor function, the post demonstrates simulating private variables and public interfaces, effectively recreating class-like behavior and inheritance. Through clear code examples, readers learn to create objects, define methods, implement inheritance and mixins, and even build a rudimentary `attr_accessor`-like metaprogramming feature. It's a practical guide to understanding object system fundamentals.

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Lossless Compression of Vector IDs Boosts Approximate Nearest Neighbor Search

2025-01-23
Lossless Compression of Vector IDs Boosts Approximate Nearest Neighbor Search

Researchers introduce a lossless compression scheme for vector IDs to address the high storage cost of indexes in approximate nearest neighbor search. Leveraging the fact that the order of IDs is irrelevant in many index structures, and utilizing asymmetric numeral systems or wavelet trees, the method achieves up to 7x compression of vector IDs without impacting accuracy or search runtime. This translates to a 30% reduction in index size for billion-scale datasets. Furthermore, the approach can also losslessly compress quantized vector codes by exploiting sub-optimalities in the original quantization algorithm.

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Iron Age Society Centered on Women: Ancient Genomes Reveal a Matrilocal Past

2025-01-26
Iron Age Society Centered on Women: Ancient Genomes Reveal a Matrilocal Past

An international team, led by Trinity College Dublin, has unearthed a fascinating glimpse into Britain's Iron Age through ancient DNA. Analysis of over 50 genomes from a Dorset burial site revealed a society structured around female lineage. The study indicates that husbands joined their wives' communities, with land potentially inherited through the maternal line, a system called matrilocality. This pattern wasn't unique to Dorset; similar findings in other Iron Age cemeteries across Britain suggest a widespread phenomenon, challenging traditional views of gender roles and highlighting the significant social and political influence of women in this era. The research published in Nature adds compelling genetic evidence to archaeological observations.

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15-Year-Old Builds $30 Open-Source Phone: Challenging the Smartphone Industry

2025-01-26

Gabriel Rochet, a 15-year-old, has created Paxo Phone, a fully functional open-source smartphone built for just $30. This DIY phone utilizes open-source hardware and software, boasting high modularity and customizability, allowing users to modify both hardware and software to fit their needs. Paxo Phone challenges the closed and irreparable nature of the traditional smartphone industry, offering a practical platform for learning electronics and computer technology while prompting reflection on digital freedom and the repairability of electronic devices.

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Tech DIY phone

nCompass: Revolutionizing AI Inference Cost

2024-12-16

nCompass Technologies has developed innovative AI inference serving software that reduces the cost of serving AI models at scale by up to 50%. By utilizing custom AI inference software and a hardware-aware request scheduler with Kubernetes autoscaling, nCompass maintains high-quality service on fewer GPUs, resulting in up to a 4x improvement in response time and significantly reduced GPU infrastructure costs. Users access open-source models via API with no rate limits and receive a $100 signup credit. On-premises solutions are also available for businesses demanding cost-effectiveness and responsiveness.

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MicroLaunch

2024-03-12
MicroLaunch

MicroLaunch provides investment solutions with a focus on high-quality, early-stage technology companies in the Midwestern United States.

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The Weekly Loop: A Simple Fix for Chatbot Stalls

2025-09-13
The Weekly Loop:  A Simple Fix for Chatbot Stalls

This article presents a continuous improvement methodology for chatbots, focusing on treating every miss as a signal for iterative refinement. The core concept involves a weekly loop: implement lean instrumentation to track user queries, assistant decisions, sources, answers, and fallbacks; define clear rules for unanswered questions, separating noise from genuine gaps; review the unanswered queue weekly, grouping similar issues and applying remedies (strengthening guardrails or updating the knowledge base); and finally, establish clear ownership and measure key metrics (unanswered rate, time-to-first-fix, acceptance rate). Consistent iteration leads to significant performance improvements without requiring larger models.

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AI Coding: Hype or Tool?

2025-09-13

The author argues that current AI coding tools are essentially advanced compilers, their effectiveness overblown. They rely on existing codebases and patterns, not true "AI coding." While AI can boost productivity, the actual gains are limited, and many constraints exist, such as imprecise natural language input and non-deterministic workflows. The author criticizes the excessive investment in AI coding and advocates for focusing on improving fundamental infrastructure such as programming languages, compilers, and libraries, rather than chasing the hype.

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Development programming tools

Unifying Deep Learning Operations: The Generalized Windowed Operation

2025-09-13

This paper introduces the Generalized Windowed Operation (GWO), a theoretical framework unifying deep learning's core operations like matrix multiplication and convolution. GWO decomposes these operations into three orthogonal components: Path (operational locality), Shape (geometric structure and symmetry), and Weight (feature importance). The paper proposes the Principle of Structural Alignment, suggesting optimal generalization occurs when GWO's configuration mirrors the data's intrinsic structure. This principle stems from the Information Bottleneck (IB) principle. An Operational Complexity metric based on Kolmogorov complexity is defined, arguing that the nature of this complexity—adaptive regularization versus brute-force capacity—determines generalization. GWO predicts superior generalization for operations adaptively aligning with data structure. The framework provides a grammar for creating neural operations and a principled path from data properties to generalizable architectures.

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AI

OpenJDK 25 Ships Experimental CPU Profiler

2025-09-13
OpenJDK 25 Ships Experimental CPU Profiler

After over three years of development, an experimental CPU time profiler has landed in OpenJDK 25. Building upon JFR, this new profiler offers more precise measurement of CPU cycle consumption, addressing shortcomings of the existing execution time profiler, particularly its inadequate sampling in multi-core systems and its less-than-ideal handling of I/O-bound applications. While currently limited to Linux, it provides developers with a powerful tool for performance analysis, enabling optimization of CPU utilization and improved application throughput.

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