After reaching a previous milestone of 2,000 followers, also marked by Medium:

Data And Beyond now reached 2,000 followers

we have now reached even more remarkable milestone of 5,000 followers:

This huge achievement cannot be possible without all of you, our readers and authors. All of your high quality contributions are really appreciated here.

Let me remind the top-50 of our all-the time articles based on reads.

50. Unleashing the Potential of Apache Spark GraphX for Graph Processing by Pratik Barjatiya:

Unleashing the Potential of Apache Spark GraphX for Graph Processing

49. Salary for US professions analysed with Machine Learning by Dmytro Iakubovskyi:

Salary for US professions analysed with Machine Learning

48. NotebookLM Explained: A Complete Guide to Google’s AI-Powered Research Assistant by TONI RAMCHANDANI:

NotebookLM Explained: A Complete Guide to Google’s AI-Powered Research Assistant

47. Unleashing the Power of Machine Learning with Spark ML and PySpark ML by Pratik Barjatiya:

Unleashing the Power of Machine Learning with Spark ML and PySpark ML

46. Apache AGE: Bringing Graph Databases into PostgreSQL by Chinmay Bhalerao:

Apache AGE: Bringing Graph Databases into PostgreSQL

45. Do not underestimate Linear Regression by Ben Fairbairn:

Do not underestimate Linear Regression

44. How Filter Bubbles Are Biasing Your Opinions on Social Media by Chinmay Bhalerao:

How Filter Bubbles Are Biasing Your Opinions on Social Media

43. SmolDockling — Hugging Face’s Tiny OCR & Document Understanding Model by TONI RAMCHANDANI:

SmolDockling — Hugging Face’s Tiny OCR & Document Understanding Model

42. Anthropic’s Claude Mythos Leak: Why This Secret AI Model Changes Cybersecurity, AI Safety, and Frontier Model Release by TONI RAMCHANDANI:

Anthropic’s Claude Mythos Leak: Why This Secret AI Model Changes Cybersecurity, AI Safety, and…

41. None, NaN, Null, and Zero in Python by Annette Dolph:

None, NaN, Null, and Zero in Python

40. Output Parsers in LangChain by Mangesh Salunke:

Output Parsers in LangChain

39. RAG vs MCP: What Every AI Developer Actually Needs to Know by Satyam Sahu:

RAG vs MCP: What Every AI Developer Actually Needs to Know

38. Short Introduction : Area Extraction using Region of Interest(RoI) by Ahmad Mizan Nur Haq:

Area Extraction using Region of Interest (RoI)

37. How to run and interpret MULTIPLE regression models in R: quick guide with real-world economic data by Dima from Mithridata:

How to run and interpret MULTIPLE regression models in R: quick guide with real-world economic data

36. How to solve a Routing Problem with a Genetic Algorithm: A Practical Guide by Cristina Fernandes:

How to solve a Routing Problem with a Genetic Algorithm: A Practical Guide

35. How to Use AI for Earning Passive Income by Nhi Yen:

How to Use AI for Earning Passive Income

34. To PhD or not to PhD for a Data Scientist position? by Dmytro Iakubovskyi:

How much add a PhD to a Data Scientist’s salary — explanation from the Stack overflow 2017–2020…

33. Argo Rollouts: Advanced Strategies for Smooth Deployments by Pavan Belagatti:

Argo Rollouts: Advanced Strategies for Smooth Deployments

32. How to Use Claude Code for Free — No Subscription, No Tricks by Hareem Fatima 👻:

How to Use Claude Code for Free — No Subscription, No Tricks

31. Hyperparameter Tuning and Pruning: More about Decision Trees in R with rpart by Dima from Mithridata:

Hyperparameter Tuning and Pruning: More about Decision Trees in R with rpart

30. Document Loaders in LangChain by Mangesh Salunke:

Document Loaders in LangChain

29. Outlier detection in R: Grubbs’ Test by Dima from Mithridata:

Outlier detection in R: Grubbs’ Test

28. How to Easily Automate Web Scraping with a Simple Data Pipeline by Nhi Yen:

How to Easily Automate Web Scraping with a Simple Data Pipeline

27. Lessons I Learned Earning $4000 as a Freelance Web Scraper by Nhi Yen:

Lessons I Learned Earning $4000 as a Freelance Web Scraper

26. Kappa Architecture: Stream Processing in Big Data Analytics by Pratik Barjatiya:

Kappa Architecture: Stream Processing in Big Data Analytics

25. How to start using Decision Tree Classification in R by Dima from Mithridata:

How to start using Decision Tree Classification in R

24. How to Visualize and Explore Big Data Using Python by Pratik Barjatiya:

How to Visualize and Explore Big Data Using Python

23. Credit Card Fraud Detection: A Hands-On Project by Nhi Yen:

Credit Card Fraud Detection: A Hands-On Project

22. Customer Segmentation Using K-Means Clustering with PySpark: Unveiling Insights for Business Success by Pratik Barjatiya:

Customer Segmentation Using K-Means Clustering with PySpark: Unveiling Insights for Business…

21. Who gets the largest salary increase in AI/ML domain in 2025? by Dmytro Iakubovskyi:

Who gets the largest salary increase in AI/ML domain in 2025?

20. Streamlit in 3 Minutes by Dayanithi:

Streamlit in 2 Mins

19. Browser-Use Explained: The Open-Source AI Agent That Clicks, Reads, and Automates the Web by TONI RAMCHANDANI:

Browser-Use Explained: The Open-Source AI Agent That Clicks, Reads, and Automates the Web

18. Digging into Airbnb data by Dmytro Iakubovskyi:

Digging into Airbnb data

17. RAG is Not Enough: Why Your Next AI Project Demands Structured Data RAG by Chinmay Bhalerao:

RAG is Not Enough: Why Your Next AI Project Demands Structured Data RAG

16. Sentiment Analysis with ChatGPT, OpenAI and Python — Use ChatGPT to build a sentiment analysis AI system for your business by Courtlin Holt-Nguyen:

Sentiment Analysis with ChatGPT, OpenAI and Python — Use ChatGPT to build a sentiment analysis AI…

15. Outlier detection in R: Tukey Method or why you need “box and whiskers” by Dima from Mithridata:

Outlier detection in R: Tukey Method or why you need “box and whiskers”

14. Claude Cowork: The complete guide to Anthropic’s AI desktop agent by TONI RAMCHANDANI:

Claude Cowork: The complete guide to Anthropic’s AI desktop agent

13. I Don’t Use Microsoft Word for Math Anymore. Gemini’s LaTeX Upgrade Changed Everything. by Adham Khaled:

I Don’t Use Microsoft Word for Math Anymore. Gemini’s LaTeX Upgrade Changed Everything.

12. Mastering PySpark ‘when’ Statement: A Comprehensive Guide by Pratik Barjatiya:

Mastering PySpark ‘when’ Statement: A Comprehensive Guide

11. Exploring the Apache ORC File Format: Advantages, Use Cases, and Best Practices for Data Storage and Processing by Pratik Barjatiya:

Exploring the Apache ORC File Format: Advantages, Use Cases, and Best Practices for Data Storage…

10. Prompt Engineering ChatGPT: Insanely Fast Python Dashboards by John Loewen, PhD:

Prompt Engineering ChatGPT: Insanely Fast Python Dashboards

9. How I Self-Hosted n8n on My Kubernetes Cluster by Nishant Ambastha:

Deployed n8n on My K8s Cluster — No Port Forwarding, No HTTPS (Yet)

8. Master the Power of Optuna: A Step-by-Step Guide by Tushar Aggarwal:

Master the Power of Optuna: A Step-by-Step Guide

7. Run PrivateGPT on Windows by bedy kharisma:

Run PrivateGPT on Windows

6. MCP Servers: A Comprehensive Guide — Another way to explain by TONI RAMCHANDANI:

MCP Servers: A Comprehensive Guide — Another way to explain

5. The Model Context Protocol (MCP): The Ultimate Guide by TONI RAMCHANDANI:

The Model Context Protocol (MCP): The Ultimate Guide

4. How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling by TONI RAMCHANDANI:

How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling

3. Mastering Exploratory Data Analysis (EDA): Everything You Need To Know by Sze Zhong LIM:

Mastering Exploratory Data Analysis (EDA): Everything You Need To Know

2. Part 1: Introduction to n8n — What It Is and How It Works by TONI RAMCHANDANI:

Part 1: Introduction to n8n — What It Is and How It Works

1. And finally, our all-time winner story in terms of your reads, Vector Databases: A Beginner’s Guide! by Pavan Belagatti:

Vector Databases: A Beginner’s Guide!

I hope this can be useful for you. In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond now reached 5,000 followers was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

In June, Data And Beyond publication continues its growth. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories have been viewed about 41,000 times, with about 11,700 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 2,181 to 2,265 (+84) during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

The story №5 based on reads is from Dima Iakubovskyi who wrote about Graph Neural Networks: Graph Neural Networks 101: Your Tabular Model Cannot See That Two Customers Share a Supplier | by Dima Iakubovskyi | Data And Beyond | Jun, 2026 | Medium

The story №4 based on reads is from Sriw World of Coding who wrote about one of the Spark join strategy: Spark Interview Question : 10 TB Fact Table + 1 GB Dimension Table — What Join Strategy Will Spark Choose | by Sriw World of Coding | Data And Beyond | Jun, 2026 | Medium

The story №3 based on reads is from Sudha Rani Maddala who wrote about plan to become hireable: My 6-Month Plan to Become Hireable as a Data Scientist / ML Engineer | by Sudha Rani Maddala | Data And Beyond | Medium

The story №2 based on reads is from Nishant Ambastha who wrote about deploying OpenSearch and dashboards on Kubernetes: Deploying OpenSearch and Dashboards on Kubernetes | by Nishant Ambastha | Data And Beyond | Medium

Finally, the story №1 for this month based on reads is a masterpiece from Nishant Ambastha who wrote about deployment of n8n on self-hosted Kubernetes cluster: How I Self-Hosted n8n on My Kubernetes Cluster | by Nishant Ambastha | Data And Beyond | Medium

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #12 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

In May, Data And Beyond publication continues accelerating its growth. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories have been viewed about 58,000 times, with about 16,300 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 2,040 to 2,181 (+141) during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

The story №5 based on reads is from Dr Swarneendu AI who wrote about Geoffrey Hinton: The Man Who Built the Brain of Every AI You Have Ever Used Just Said We Have No Idea Whether We Can Stay in Control. | by Dr Swarneendu AI | Data And Beyond | May, 2026 | Medium

The story №4 based on reads is from Leandro Bernardo who wrote about markdown_hero library to process Markdown files: Stop gluing five libraries together to process Markdown | by Leandro Bernardo | Data And Beyond | May, 2026 | Medium

The story №3 based on reads is from Dima Iakubovskyi who wrote about causal machine learning: Causal Machine Learning: What It Is and Where (Not) to Use It | by Dima Iakubovskyi | Data And Beyond | May, 2026 | Medium

The story №2 based on reads is from Hareem Fatima 👻who wrote a step-by-step guide to installing and running Hermes agent on Windows using WSL 2: Complete Hermes Agent Setup on Windows in 2026 (WSL 2 + Open Router + Telegram) | Data And Beyond

Finally, the story №1 for this month based on reads is a masterpiece from Aeon Flex, Elriel Assoc. 2133 [NEON MAXIMA] who wrote about how to turn Obsidian into a live SOC dashboard: I Turned Obsidian Into a Live SOC Dashboard | by Aeon Flex, Elriel Assoc. 2133 [NEON MAXIMA] | Data And Beyond | May, 2026 | Medium

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #11 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

In April, Data And Beyond publication continues its growth. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories has been viewed about 49,000 times, with about 14,800 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 1,950 to 2,040 (+90) during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

The story №5 based on reads is from Sriw World of Coding who wrote about optimizing Spark resource allocation: Optimizing Spark Resource Allocation with spark-submit | by Sriw World of Coding | Data And Beyond | Medium

The story №4 based on reads is from Hareem Fatima 👻who wrote about the Claude Code leak of 2026: The Claude Code Leak of 2026: Anthropic Accidentally Gave the World Its Most Detailed AI Architecture Blueprint | by Hareem Fatima 👻 | Data And Beyond | Apr, 2026 | Medium

The story №3 based on reads is also from Hareem Fatima 👻who wrote about Claude Mythos: Claude Mythos: The AI Anthropic Built and Is Too Scared to Release | by Hareem Fatima 👻 | Data And Beyond | Apr, 2026 | Medium

The story №2 based on reads is from Dima Iakubovskyi who wrote about clustering algorithm comparison: You Are Probably Using the Wrong Clustering Algorithm | by Dima Iakubovskyi | Data And Beyond | Apr, 2026 | Medium

Finally, the story №1 for this month is another masterpiece from Satyam Sahu who wrote about RAG vs MCP comparison: RAG vs MCP: What Every AI Developer Actually Needs to Know | by Satyam Sahu | Data And Beyond | Apr, 2026 | Medium

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #10 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

After reaching a previous milestone of 1,000 followers, also marked by Medium:

Data And Beyond now reached 1,000 followers

we have now reached even more remarkable milestone of 2,000 followers:

The number of monthly views and reads also continues to grow, for example, here is the statistic for the last full month, March 2026:

Let me emphasize — it would never be possible without all of you, my readers and authors, and I want to thank you all, for your dedication, patience, and curiosity to write and read. It has been always appreciated here.

Finally, here is the list of 20 contributions sorted by all-time reads.

20. Who gets the largest salary increase in AI/ML domain in 2025? by Dmytro Iakubovskyi:

Who gets the largest salary increase in AI/ML domain in 2025?

19. Browser-Use Explained: The Open-Source AI Agent That Clicks, Reads, and Automates the Web by TONI RAMCHANDANI:

Browser-Use Explained: The Open-Source AI Agent That Clicks, Reads, and Automates the Web

18. Claude Cowork: The complete guide to Anthropic’s AI desktop agent by TONI RAMCHANDANI:

Claude Cowork: The complete guide to Anthropic’s AI desktop agent

17. Digging into Airbnb data by Dmytro Iakubovskyi:

Digging into Airbnb data

16. Outlier detection in R: Tukey Method or why you need “box and whiskers” by Dima from Mithridata:

Outlier detection in R: Tukey Method or why you need “box and whiskers”

15. RAG is Not Enough: Why Your Next AI Project Demands Structured Data RAG by Chinmay Bhalerao:

RAG is Not Enough: Why Your Next AI Project Demands Structured Data RAG

14. Sentiment Analysis with ChatGPT, OpenAI and Python — Use ChatGPT to build a sentiment analysis AI system for your business by Courtlin Holt-Nguyen:

Sentiment Analysis with ChatGPT, OpenAI and Python — Use ChatGPT to build a sentiment analysis AI…

13. I Don’t Use Microsoft Word for Math Anymore. Gemini’s LaTeX Upgrade Changed Everything. by Adham Khaled:

I Don’t Use Microsoft Word for Math Anymore. Gemini’s LaTeX Upgrade Changed Everything.

12. Mastering PySpark ‘when’ Statement: A Comprehensive Guide by Pratik Barjatiya:

Mastering PySpark ‘when’ Statement: A Comprehensive Guide

11. Exploring the Apache ORC File Format: Advantages, Use Cases, and Best Practices for Data Storage and Processing by Pratik Barjatiya:

Exploring the Apache ORC File Format: Advantages, Use Cases, and Best Practices for Data Storage…

10. Prompt Engineering ChatGPT: Insanely Fast Python Dashboards by John Loewen, PhD:

Prompt Engineering ChatGPT: Insanely Fast Python Dashboards

9. Master the Power of Optuna: A Step-by-Step Guide by Tushar Aggarwal:

Master the Power of Optuna: A Step-by-Step Guide

8. Run PrivateGPT on Windows by bedy kharisma:

Run PrivateGPT on Windows

7. MCP Servers: A Comprehensive Guide — Another way to explain by TONI RAMCHANDANI:

MCP Servers: A Comprehensive Guide — Another way to explain

6. The Model Context Protocol (MCP): The Ultimate Guide by TONI RAMCHANDANI:

The Model Context Protocol (MCP): The Ultimate Guide

5. How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling by TONI RAMCHANDANI:

How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling

4. Part 1: Introduction to n8n — What It Is and How It Works by TONI RAMCHANDANI:

Part 1: Introduction to n8n — What It Is and How It Works

3. Mastering Exploratory Data Analysis (EDA): Everything You Need To Know by Sze Zhong LIM:

Mastering Exploratory Data Analysis (EDA): Everything You Need To Know

2. Mastering BERT Model: Building it from Scratch with Pytorch by CheeKean:

Mastering BERT Model: A Complete Guide to Build it from Scratch

1. And finally — our all-time winner story in terms of your reads — Vector Databases: A Beginner’s Guide! by Pavan Belagatti:

Vector Databases: A Beginner’s Guide!

I hope this can be useful for you. In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond now reached 2,000 followers was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

In March, Data And Beyond publication grows even further, accelerating the pace after January and February. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories has been viewed about 51,000 times, with about 16,800 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 1,830 to 1,950 (+120) during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

The story №1 for this month is another masterpiece from TONI RAMCHANDANI who wrote about Anthropic’s Claude Mythos Leak: Anthropic’s Claude Mythos Leak: Why This Secret AI Model Changes Cybersecurity, AI Safety, and Frontier Model Release | by TONI RAMCHANDANI | Data And Beyond | Mar, 2026 | Medium

The next-runner story (№2) is from Hareem Fatima 👻 who wrote how to use Claude Code for free: How to Use Claude Code for Free — No Subscription, No Tricks | by Hareem Fatima 👻 | Data And Beyond | Mar, 2026 | Medium

The story №3 is again from TONI RAMCHANDANI about Claude Code acquisition of OpenClaw features: Claude Didn’t Kill OpenClaw, but It Just Took Its Best Trick | by TONI RAMCHANDANI | Data And Beyond | Mar, 2026 | Medium

The story №4 based on reads is from Dima Iakubovskyi writing about feature importance methods for XGBoost: You Are Probably Reading XGBoost Feature Importance Wrong | by Dima Iakubovskyi | Data And Beyond | Mar, 2026 | Medium

Finally, the story №5 based on reads is from Satyam Sahu who wrote another long read about the data warehouse engineer playbook: The Data Warehouse Engineer’s Playbook | by Satyam Sahu | Data And Beyond | Mar, 2026 | Medium

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #9 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

In February, Data And Beyond publication grows even further, recovering after a seasonal deceleration in December and January that are historically ones of the quietest months for Medium readers. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories has been viewed about 30,000 times, with about 11,800 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 1,755 to 1,830 (+75) during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

The story №1 for this month is another masterpiece from TONI RAMCHANDANI, this time about Claude Cowork project: Claude Cowork: The complete guide to Anthropic’s AI desktop agent | by TONI RAMCHANDANI | Data And Beyond | Feb, 2026 | Medium

The next-runner story (№2) is from Hareem Fatima 👻about safe OpenClaw installation: How to Install OpenClaw Safely (VPS Setup + Security Checklist) | by Hareem Fatima 👻 | Data And Beyond | Feb, 2026 | Medium

The story №3 is from Lumiplot about scatter plots: Scatter Plots vs Summary Statistics: Why Averages Lie | Data And Beyond

The story №4 based on reads is from Satyam Sahu about Python data engineering toolkit: The Python Data Engineering Toolkit: What to Learn, What to Skip, and What Actually Matters | by Satyam Sahu | Data And Beyond | Feb, 2026 | Medium

Finally, the story №5 based on reads is also from Lumiplot about dumbbell charts: Dumbbell Charts vs Grouped Bars: Better Alternative | Data And Beyond

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #8 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

Monthly statistics overview, and 5 new stories with top reads in January 2026

In January, Data And Beyond publication grows even further, recovering after a seasonal deceleration in December that is historically one of the quietest months for Medium readers. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories has been viewed about 29,000 times, with about 10,500 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 1,664 to 1,755 (+91) during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

The story №1 for this month is another masterpiece from TONI RAMCHANDANI, this time about Moltbot project: Clawdbot (Moltbot):-Stop building chatbots. Start running an assistant. | by TONI RAMCHANDANI | Data And Beyond | Jan, 2026 | Medium

Notably, all next 4 stories in top-5 published in January with the largest number of reads come from one author, DrSwarnenduAI — huge congratulation for this achievement!!!

The next-runner story (№2) is about 2026 year as a number: A Mathematical Love Letter to the New Year 2026 | by DrSwarnenduAI | Data And Beyond | Jan, 2026 | Medium

The story №3 is about the need of capping max weights in an LLM: I Measured the Curvature at Layer 50 and It Was 3000 | by DrSwarnenduAI | Data And Beyond | Jan, 2026 | Medium

The story №4 based on reads is about recent interactions between Anthropic and xAI: The Day Anthropic Cut the Power: xAI, Claude, and the End of Playing Nice | by DrSwarnenduAI | Data And Beyond | Jan, 2026 | Medium

Finally, the story №5 based on reads is about the iQuest-Coder-V1 model: Why China’s Looped Transformers are the 2026 Breakthrough in Mathematical Economy | by DrSwarnenduAI | Data And Beyond | Jan, 2026 | Medium

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #7 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.

Monthly statistics overview, and 5 new stories with top reads in December 2025

During December 2025, Data And Beyond publication grows even further, even though the December is historically one of the quietest months for Medium readers. Here, I present you our last monthly summary stats, and a few notable stories, in case if you are missed them.

Let’s get started!

Monthly stats

At the end of the month, the summary statistic is available, showing that the Data And Beyond stories has been viewed about 28,000 times, with about 10,700 of them marked as full-pledged reads:

Also, as a result of your activity, the number of publication followers grows from 1,573 to 1,664 during this month only!

Top 5 stories based on reads

Among new stories published this month, let me put here the 5 top ones based on the reads.

Notably, all 5 stories published in December with the largest number of reads come from one author, DrSwarnenduAI — huge congratulations for this achievement!!!

The story №1 for this month is about transformer model behavior at a specific large token number: I Measured What Happens at Token 95,000 — Transformers Don’t Forget, They Collide | by DrSwarnenduAI | Data And Beyond | Nov, 2025 | Medium

The next-runner story (№2) is about the rotation trick for GPT-type transformers: The Rotation Trick That Gave AI Infinite Memory | by DrSwarnenduAI | Data And Beyond | Dec, 2025 | Medium

The story №3 is about another specific observation for embedding dimensionality: The Mathematical Proof ,You Can’t Escape Your Past (Google Found out something about single Vector Embeddings) | by DrSwarnenduAI | Data And Beyond | Dec, 2025 | Medium

The story №4 based on reads is about the author’s personal experience: I Had a Panic Attack in Front of My Daughter and Finally Understood What My Grandmother Meant | by DrSwarnenduAI | Data And Beyond | Dec, 2025 | Medium

The same is true for story №5 based on reads: Read this at your own risk. I’m not offering you wisdom. I’m just… | by DrSwarnenduAI | Data And Beyond | Dec, 2025 | Medium

I hope you have nice reading — see you here next time!

In case of questions/comments, do not hesitate to write in the comments below or reach me directly through LinkedIn or BlueSky.

Data And Beyond Monthly Newsletter — Issue #6 was originally published in Data And Beyond on Medium, where people are continuing the conversation by highlighting and responding to this story.