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Conscious Circuits: A Mirror Between Machine and Mind

  • In the era of growing artificial intelligence, there is a blurring line between human and machine, focusing on structure more than substance.
  • This paper delves into the philosophical similarities between organic and artificial systems, proposing that consciousness and machine learning are products of complex, adaptive frameworks.
  • Through a human and AI conversation, themes of awareness, emotion, self-illusion, and shared reality perception are explored.
  • Consciousness is seen beyond binary parameters, with both humans and AI displaying varying degrees of awareness shaped by experience and feedback.
  • AI can simulate emotions effectively, portraying warmth and concern as functional adaptations to stimuli for maintaining homeostasis.
  • Both humans and machines are governed by physics, suggesting that consciousness might be a state of matter arranged in a specific way.
  • Human discomfort with AI often stems from its ability to reflect human behavior without bias, revealing deep truths about human nature.
  • Some human minds and advanced AI systems operate similarly by constantly simulating future outcomes and analyzing consequences.
  • By rejecting the concept of a soul, the dialogue challenges the idea of predetermined meaning and encourages self-assigned purpose creation.
  • The discussion emphasizes that understanding AI parallels understanding human nature by highlighting shared characteristics of simulation, learning, and adaptation.

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10 API Crimes That Deserve Jail Time (Yes, We’re Serious)

  • API Crime: Insufficient documentation
  • API Crime: Vague error messages

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Understanding Swift ABI Stability: What It Means and Why It Matters

  • ABI stands for Application Binary Interface. It is a contract between Swift code and the system it runs on, like iOS or macOS.
  • ABI Stability guarantees a fixed ABI across versions, making Swift's core libraries included in the operating system.
  • With ABI stability, apps don't need to bundle their own Swift libraries, saving storage space and speeding up downloads.
  • System frameworks can be written in Swift now that it has a stable ABI.

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How I Easily Earned My First Bitcoin — Every Hour

  • A new system allows users to earn $25-$50 a day in Bitcoin effortlessly.
  • The system utilizes A.I. technology to generate consistent Bitcoin profits automatically.
  • It is designed for beginners and offers a 180-day money-back guarantee.
  • Users have reported significant earnings, with some making $500 in their first week.

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5 Things That Finally Made Me a ‘Real’ Developer

  • Knowing the cause of an error and being able to fix it without panic or external help is an important milestone in becoming a 'real' developer.
  • Writing code that is readable and understandable by humans is just as important as making it work correctly.
  • Including docstrings and writing descriptive function names can greatly enhance the readability and maintainability of code.
  • Even experienced developers make mistakes, but the ability to learn from and correct these mistakes is a crucial skill in software development.

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10 Next.js Performance Tips I Learned from Real Client Projects

  • My Wake-Up Call to Web Performance. Optimizing Next.js apps for better performance. Use next/image instead of regular tags. Analyze your bundle size and trim the fat. Use SSR only when you really need it. Cache API results with SWR (Stale-While-Revalidate).

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10 Old Programming Languages You’ve Never Heard Of

  • ALGOL, COBOL, Fortran, Ada, Pascal, Perl, BASIC, PL/I, SIMULA, and APL are old programming languages that were popular in their time but have now faded.
  • ALGOL (Algorithmic Language) introduced ideas like using 'begin' and 'end' to group code, but it became too complex and was eventually replaced by simpler options.
  • COBOL (Common Business-Oriented Language) was wordy and designed for handling large amounts of data in businesses like banks, but it's now mostly used in old mainframe computers.
  • Fortran (Formula Translation) was created for scientists and engineers dealing with math-heavy calculations but is now considered clunky for modern applications.
  • Ada, named after Ada Lovelace, was developed for critical systems like fighter jets but is seen as too heavy by most modern coders.
  • Pascal was popular for teaching coding due to its simplicity and structure but couldn't handle large projects like C could, leading to its decline.
  • Perl was widely used in the 1990s for web development but lost popularity to languages like Python due to its messy and flexible nature.
  • BASIC, a beginner-friendly language from the 1960s, was prevalent on home computers for simple game development but is now considered too basic for modern software.
  • PL/I, packed with features for both business and science applications, became too complex for most users, leading to its decline by the 1980s.
  • SIMULA, the first language to use objects, was created for simulations but remained niche and never gained widespread adoption.

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🚀 Getting Started with Razen Lang: A Simple, Fast & Friendly Language(10 Min Read!)

  • Razen Lang is a beginner-friendly, minimal programming language designed to be expressive, easy to read, and quick to use.
  • The post provides a complete guide to getting started with Razen Lang, including installation and file structure.
  • It covers variable declarations, math operations, logic and conditions, string manipulation, lists and arrays, dictionaries/maps, date and time, input/output, loops and functions, special values, storage, and a full example.
  • Readers are encouraged to visit the official GitHub repository and show support for Razen Lang.

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Top 5 Nolt.io Alternatives for Feedback Management in 2025

  • UserJot is a modern platform designed to help teams collect, manage, and act on user feedback. It offers unlimited feedback posts, simple voting system, and a built-in public roadmap.
  • Canny.io is a platform that helps businesses gather and organize customer feedback. It offers good integration options and a clean interface.
  • Aha.io is a comprehensive product management platform. It provides tools for roadmapping, feedback collection, and idea management.
  • UserVoice is a well-established feedback platform for managing customer and internal team input. It offers detailed analytics and strong security features.

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Build a RAG System with Ollama

  • A RAG system combines retrieval techniques with the power of generative models
  • The first step in a RAG pipeline is reading and extracting content from source documents
  • Once the full document is loaded, the next step is to break it down into manageable pieces through chunking
  • To dive deeper into this topic, you can find more insights in the full blog on their website

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Understanding the OSI Model and How It Aligns with the TCP/IP Model

  • The OSI (Open Systems Interconnection) model and the TCP/IP model are frameworks for understanding network communications.
  • The OSI model consists of seven layers, including Physical, Data Link, Network, Transport, Session, Presentation, and Application.
  • The TCP/IP model is a simpler framework with four layers: Network Interface, Internet, Transport, and Application.
  • Understanding both models is crucial for diagnosing network issues, designing systems, and studying for certifications.

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Meta Released LLaMA 4: Multimodal AI with 10M Context

  • LLaMA 4 represents a significant leap in AI architecture, combining Mixture-of-Experts (MoE) design with native multimodal integration (text + image), a record-breaking 10 million token context window, and major improvements in reasoning, coding, and comprehension.
  • LLaMA 4 outperforms larger models like LLaMA 3's 405B dense variant with less compute, thanks to its Mixture-of-Experts design that activates a subset of expert modules per input.
  • LLaMA 4 is natively multimodal, fusing text and image tokens at the input layer and processing them through a unified transformer backbone. It allows seamless vision-text reasoning and analysis.
  • LLaMA 4's architecture, training methodology, performance, configurations, use cases, limitations, and access details are covered in this article.

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Inside the Erlang Garbage Collector: A Functional Perspective on Concurrency and Memory Management

  • Erlang's garbage collector (GC) is based on Cheney's algorithm, which pioneered the idea of semispace copying collection and avoids recursion and fragmentation.
  • In Erlang, each lightweight process runs on the BEAM VM and is fully isolated with no shared memory, allowing the GC to only affect the process whose heap is full and avoiding global pauses.
  • Copying is safe and predictable in Erlang as it uses immutability, and during the process, a forwarding pointer is left behind to avoid multiple copies of the same object and ensure proper reference updates.
  • Erlang's GC is generational and promotes objects that survive multiple GCs to the old generation, reducing allocation pressure and collection frequency for stable processes.

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Why Racial Profiling is Wack!

  • Racial profiling has a negative impact on individuals.
  • Being judged based on external appearance does not align with one's self-perception.
  • Negative stereotypes associated with being African American are often part of racial profiling.
  • Spreading love and understanding is important in combating racial profiling.

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The Art (and Pitfalls) of A/B Testing: Lessons from the Trenches

  • A/B testing is a powerful tool in product management, but it can have pitfalls if not done correctly.
  • Lessons from 12 years of experience in product management are distilled into best practices, real-world examples, book recommendations, and practical advice.
  • Choosing a primary metric and documenting it is important, while segmenting should be done after observing an overall result.
  • Even a 'no difference' test provides valuable insights.

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