AI

Is Your Business Prepared for Today’s Cybersecurity Threats? Verizon has released its 18th annual Data Breach Investigations Report (DBIR), analyzing 22,052 security incidents, including 12,195 confirmed data breaches1. This comprehensive analysis reveals critical trends that every business should understand to better protect their data and operations. What keeps other CEOs up at night? Read on to discover the most pressing cybersecurity threats of 2025. You can download the full 2025 DBIR report from Verizon’s website. ...

The Battle of the Brains: How OpenAI and Anthropic Are Shaping AI in 2025 Ever wondered what’s happening at the cutting edge of AI right now? I’ve been on a journey to discover the real differences between today’s top AI assistants, and I’m excited to share what I’ve learned with you. If you’ve been following tech news, you’ve probably heard about large language models (LLMs) from companies like OpenAI and Anthropic. These powerful AI systems are becoming increasingly sophisticated, and they’re changing how we work, create, and solve problems. ...

This article is way more heavily written by AI than most content on this site. Usually I’m the one doing the writing, but I’m using AI as an assistant. In this one, this article is mostly the output of a learning experiment to create a team of agents that would research, write, correct, and optimize an article based on a topic prompt. This one was written by OpenAI GPT-4o based agents. How New US Tariffs Are Shaking Up the Tech Industry in 2025 Thinking about upgrading your phone or laptop anytime soon? You might want to hold off; at least until the latest wave of US tariffs settles in. And even if you’re not planning a purchase, these changes could still hit where it counts: your wallet, your cloud storage, even your upgrade timeline. ...

Inside the AIOS Bootcamp: How AI Agents Are Transforming Productivity in 2025 The recent AIOS Bootcamp at the All Things Open AI 2025 conference offered a fascinating glimpse into how artificial intelligence is rapidly evolving from simple chatbots into powerful productivity assistants and autonomous agents. Over a full day of presentations and live demonstrations, industry experts shared cutting-edge techniques for leveraging AI to automate complex workflows, enhance content creation, and streamline business operations. ...

Essential tools: Hugo PaperMod theme Visual Studio Code Obsidian DigitalOcean App Platform AI is used as an assistant. I’m doing the writing, but with help (usually in the form of proof reading or helping with structure). I bounce around between a variety of tools. Claude - Often integrated with other tools like vscode, Obsidian, AnythingLLM. AnythingLLM Ollama Open WebUI ChatGPT - Largely Claude is replacing this. But I still use it some.

Introduction I’m writing this just before hopping on a long trans-atlantic flight. I’m not betting on the in-flight WiFi being very good, so I’m taking the time to get a local AI assistant running on my laptop. I think many travelers will be interested in setting something like this up, so I’d like to take the time to document a lot of how I’m doing this… and hopefully make it easier for others to get it going. ...

About the Bundle This bundle includes the following books: Machine Learning Engineering with Python by Andrew P. McMahon # Building LLM Powered Applications by Valentina Alto XGBoost for Regression Predictive Modeling and Time Series Analysis by Partha Pritam Deka, Joyce Weiner Mastering NLP from Foundations to LLMs by Gazit, Meysam Ghaffari Mastering PyTorch by Ashish Ranjan Jha Python Feature Engineering Cookbook by Soledad Galli Hands-On Genetic Algorithms with Python by Eyal Wirsansky The Machine Learning Solutions Architect Handbook by David Ping Causal Inference and Discovery in Python by Aleksander Molak TinyML Cookbook by Gian Marco Iodice RAG-Driven Generative AI by Denis Rothman 15 Math Concepts Every Data Scientist Should Know by David Hoyle Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili Machine Learning with R by Brett Lantz Bayesian Analysis with Python by Martin Causal Inference in R by Subhajit Das Artificial Intelligence for Cybersecurity by Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras Modern Time Series Forecasting with Python by Manu Joseph, Jeffrey Tackes Python Machine Learning By Example by Yuxi (Hayden) Liu LLM Engineer’s Handbook by Paul Iusztin, Maxime Labonne Deep Reinforcement Learning Hands-On by Maxim Lapan

About the Bundle This bundle includes the following books: Explainable AI Recipes by Pradeepta Mishra Machine Learning for Decision Makers by Patanjali Kashyap ChatGPT for Java by Bruce Hopkins AI Chatbots by James Crowder Normalization Techniques in Deep Learning by Lei Huang Creative Prototyping with Generative AI by Patrick Parra Pennefather Interfaceless: Conscious Design for Spatial Computing with Generative AI by Diana Olynick Artificial Intelligence in Vision-Based Structural Health Monitoring by Khalid M. Mosalam, Yuqing Gao Applied Generative AI for Beginners by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada Empowering the Public Sector with Generative AI by Sanjeev Pulapaka, Srinath Godavarthi, Sherry Ding Understanding Generative AI Business Applications by Irena Cronin The Early-Career Professional’s Guide to Generative AI by Jonas Bjerg Large Language Models Projects by Pere Martra Introduction to Responsible AI by Avinash Manure, Shaleen Bengani, Saravanan S Building Generative AI-Powered Apps by Aarushi Kansal Generative AI by Tom Taulli AI and the Law by Harry Borovick Generative Artificial Intelligence by Shivam R Solanki, Drupad K Khublani Exploring the Power of ChatGPT by Eric Sarrion Artificial Intelligence and Human Evolution by Ameet Joshi Predicting the Unknown by Stylianos Kampakis Transforming Conversational AI by Michael McTear, Marina Ashurkina Brain Rush by Peter Cohan ChatGPT for Beginners by Eric Sarrion