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- Data Science Has Become a Pseudo-Science š§Ŗ
Data Science Has Become a Pseudo-Science š§Ŗ
š¦¾Plus: š Googleās Deep Think & Agent Mode

Hey folks! Letās get into Big Data and AI crazinessā¦
In today's edition: What's Shaping the Future of Data?
š Why Big Data Analytics Still Matters
āļøYou Can Now Use Oracle Database in AWS Directly
š§± Designing for Resilience
š§ Prompting as Scientific Inquiry
š Googleās Deep Think & Agent Mode
š§ The Global A.I. Divide: Compute Power Is the New Oil
š Kimi-K2: Chinaās Open AI Milestone
š” AI Tutorial:Get up-to-date API information for AI coding tools
š¤ AI Tools and Data Tools to checkout

Iāve been working in data science for the last ten years, both in industry and academia, having pursued a masterās and PhD in Europe. My experience in the industry, overall, has been very positive. Iāve had the opportunity to work with brilliant people on exciting, high-impact projects. Of course, there were the usual high-stress situations, nonsense PowerPoints, and impossible deadlines, but the work largely felt meaningful.
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Innovations in technology have completely changed the rules. More sophisticated software systems have significantly reduced analytics time. As a result, organizations are able to make speedy decisions to increase revenue analytics tools (in no particular order) that are being leveraged by data scientists.

Oracle Database@AWS is now generally available, allowing enterprises run Oracle services like Exadata and Autonomous Database directly in AWS data centers. It combines Oracleās powerful database tech with the flexibility of AWS, starting in the U.S. East and West regions, with plans to expand to 20 more.

Database outages, whether planned or unexpected, pose significant challenges to applications. Planned outages for maintenance can be scheduled but still impact users. In this post, we explore design patterns for building resilient applications that gracefully handle database outages. These strategies protect against outages and ensure smooth degradation during database issues, helping maintain user experience and business continuityā¦

Prompting is the primary method by which we study and control large language models. It is also one of the most powerful: nearly every major capability attributed to LLMs-few-shot learning, chain-of-thought, constitutional AI-was first unlocked through prompting.
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šØāš» Data Tools, Libraries
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Tantivy
Fast full-text search engine library written in Rust.
git-backup
git-backup is a command-line tool for backing up your Git repositories to Amazon S3 or any S3-compatible storage.
Beta9
Beta9 is an open-source platform for running scalable serverless GPU workloads across cloud providers.
AI News:

Google is close to rolling out Gemini 2.5 Pro Deep Think, internally codenamed kingfall, possibly next week. Backend toggles show itās already active behind the curtain: output quality beats earlier models, though response times stretch to about five minutes for 10 prompts.
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Only 32 countries on Earth host the heavyweight data-center muscle needed to train frontier models. The rest of the planet? Stuck watching from the sidelines. U.S. tech giants run 87 of the worldās elite āAI hubsāānearly ā of global capacity. China controls 39, Europe scrapes by with just 6. Africa and South America? Almost zero.

Moonshot AI from China has launched Kimi-K2, a new open-weight large language model designed to rival top proprietary models like Claude Sonnet 4 and GPT-4.1, without a dedicated reasoning moduleāmarking a moment reminiscent of Deepseek's release.

Turns out even AI recruitment tools arenāt safe when passwords are weaker than your coffee order. Researchers easily accessed millions of applicant records using the classic ā123456ā password.

An AI-powered travel assistant integrates trip planning, navigation, and disruption management using large language models and geospatial data.
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AI Tutorial
š§ Get up-to-date API information for AI coding tools

In this tutorial, you will learn how to use Context7 MCP Server to eliminate AI hallucinations by delivering real-time API documentation and code examples directly to your coding tools like Windsurf and Cursor.
Step-by-step:
Visit the Context7 GitHub repository and copy the configuration code for your AI tool
Open your AI coding tool's configuration settings to Add MCP Server
Paste the Context7 config into your mcp_config.json file and save
Start prompting with āuse context7 for up-to-date API infoā to get current documentation from 25,000+ libraries
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š„Top AI tools to increase productivity:
Snyk is a developer security platform that enables application and cloud developers to secure their whole application
Rewin- Turn Your Favorite Video Content Into Unique, Engaging Scripts and Transform Yourself into a Content Creation Powerhouse
Kafkai is an AI Writer Assistant that offers a unique and readable content generation solution.
Texta is an AI-powered content generation tool that helps users create high-quality, SEO-optimized content with ease.
Cody is an AI-powered virtual employee designed to assist with various business tasks
ProJourney allows you to use Midjourney without having to go through Discord.
Moemate is an AI Studio which lets anyone create and chat with AI characters
View our database of all the best AI tools for your needs: aitoolsup.com
Have cool resources to share? Submit AI tool
A.I. Generated Image of the Day
š ancient Kingdom of Axum AI art

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