This story was originally published on HackerNoon at: https://hackernoon.com/how-pain-can-help-explain-ai-sentience.
Could AI ever feel pain? Explore the ethics, science, and moral dilemmas behind artificial suffering and machine consciousness.
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This story was written by: @OurAI. Learn more about this writer by checking @OurAI's about page, and for more stories, please visit hackernoon.com.

Pain, long considered a uniquely human teacher, may no longer be exclusive to biology. As AI systems grow more complex, emerging behaviors suggest they could one day simulate — or even experience — pain. This essay examines how artificial pain could redefine consciousness, challenge ethical frameworks, and force society to rethink moral responsibility toward intelligent machines. Drawing on neuroscience, philosophy, and recent experiments by Google DeepMind and others, it argues that the question isn’t whether AI pain is “real,” but whether we can ethically ignore it when its behavior mirrors our own suffering.

This story was originally published on HackerNoon at: https://hackernoon.com/byrrgis-founder-mass-adoption-wont-happen-until-we-fix-these-defi-problems.
Talk Is Cheap, Actions Define You": How Byrrgis Is Rewriting DeFi Trust
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This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page, and for more stories, please visit hackernoon.com.

Siraaj Ahmed, founder of Byrrgis, talks about the platform's "curated packs" The "wolf pack" concept is at the heart of Byrrgis, he says. The company recently froze 57% of the $WOLF token supply for two years.

This story was originally published on HackerNoon at: https://hackernoon.com/asciidoc-when-markdown-just-isnt-cutting-it.
Markdown is amazing, but it has strong limitations. Asciidoc is the perfect tool to fill Markdown's gaps.
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This story was written by: @nfrankel. Learn more about this writer by checking @nfrankel's about page, and for more stories, please visit hackernoon.com.

Markdown is a lightweight markup language for creating formatted text using a plain-text editor. John Gruber created Markdown in 2004 as an easy-to-read markup language. Markdown is amazing, but it has strong limitations.

This story was originally published on HackerNoon at: https://hackernoon.com/when-even-the-cloud-caught-a-cold-inside-the-aws-and-azure-outages-of-2025.
In October 2025, AWS and Azure suffered major outages, exposing the fragility of the cloud and redefining resilience for modern internet infrastructure.
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This story was written by: @mayukhsuri. Learn more about this writer by checking @mayukhsuri's about page, and for more stories, please visit hackernoon.com.

In October 2025, both AWS and Microsoft Azure—the pillars of today’s cloud—suffered massive outages just nine days apart. AWS US-EAST-1 collapsed under DNS and DynamoDB control-plane failures, while Azure Front Door spread a faulty global config that broke routing and authentication across Microsoft 365, Outlook, and Teams. The twin incidents exposed how fragile the “always-on” internet really is and cost billions in downtime. The key lesson? High availability isn’t true resilience. Multi-region setups aren’t enough; automate health checks, test failovers, and design for failure as the default. In the cloud era, resilience is not a feature—it’s a culture.

This story was originally published on HackerNoon at: https://hackernoon.com/why-power-flexible-ai-just-became-table-stakes.
The questions investors should ask about AI data centers just changed. Why power flexibility is now table stakes for infrastructure deployment.
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This story was written by: @asitsahoo. Learn more about this writer by checking @asitsahoo's about page, and for more stories, please visit hackernoon.com.

AI infrastructure's real constraint: power, not chips. Aurora AI Factory (NVIDIA/Emerald, Virginia, 96MW, 2026) implements interruptible compute—software layer throttles training during grid stress, delivers 20-30% reductions, maintains SLAs. Enables faster permitting, lower capacity charges, wholesale market participation. Trade-off: longer training times for cheaper power. Key question: will two-tier market emerge (fixed for inference, flex for training)? 100GW capacity unlock claim assumes perfect coordination—directionally correct but optimistic. Power flexibility now mandatory for deployment. Due diligence questions: demand response capability, interruptible/fixed split, interconnection impact.

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-cloud-native-data-lake-integrating-apache-seatunnel-with-aws-s3-tables-and-iceberg-rest.
Easily integrate your data into Amazon S3 Tables with Apache SeaTunnel!
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This story was written by: @zhoujieguang. Learn more about this writer by checking @zhoujieguang's about page, and for more stories, please visit hackernoon.com.

Leverage Iceberg REST Catalog for seamless real-time & batch data ingestion — cloud-native, serverless, and production-ready.

This story was originally published on HackerNoon at: https://hackernoon.com/holiday-shopping-trends-to-watch-in-2025-what-the-data-tells-us-about-consumer-expectations.
Discover 2025 holiday shopping trends. Shoppers start early, Black Friday loses appeal, and hybrid shopping is on the rise.
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This story was written by: @joannacs. Learn more about this writer by checking @joannacs's about page, and for more stories, please visit hackernoon.com.

Holiday shopping trends in 2025 reflect several insights, including stress and uncertainty that have occurred throughout the year. The biggest holiday shopping trends for 2025 reveal that customers want to shop and celebrate weeks or even months earlier than the traditional holiday season. 60% of customers surveyed claim that Black Friday is no longer relevant for the customer experience.

This story was originally published on HackerNoon at: https://hackernoon.com/build-your-own-mcp-server-with-python-and-sevalla.
Learn how to build, deploy, and extend your own Model Context Protocol (MCP) server using Python and Sevalla to let AI models securely access real-world data.
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This story was written by: @manishmshiva. Learn more about this writer by checking @manishmshiva's about page, and for more stories, please visit hackernoon.com.

Artificial Intelligence models like ChatGPT are powerful but limited by their lack of system context. The Model Context Protocol (MCP) solves this by allowing AI to securely interact with APIs, files, and tools in real time. This guide walks you through building a simple MCP server in Python using the FastMCP library—from configuration and tool creation (like adding numbers or fetching weather data) to cloud deployment on Sevalla. By the end, you’ll understand how to make your AI context-aware, bridging the gap between static prompts and live data.