New Article from the From Lab to Life collection: Are We Becoming Obsolete, or Finally Free? "After 30 years in tech and research, I've reached a profound conclusion about our AI future. 'The future belongs to those who can effectively collaborate with artificial intelligence,

Two weeks into sharing AI insights from my year-long experiment, I'm launching something structured: "From Lab to Life" - 9 weeks, 9 articles Real experience → Practical application Already published: - Week 1: Human potential vs AI obsolescence - Week 2: Context

Most people are having conversations with AI when they should be engineering experiences with it. After years building, I've discovered the fundamental difference between effective and frustrated AI users: it's not about what you ask, it's about everything else the AI sees.

I think congrats again to OpenAI for cooking with GPT-5 Pro. This is the third time I've struggled on something complex/gnarly for an hour on and off with CC, then 5 Pro goes off for 10 minutes and comes back with code that works out of the box. I had CC read the 5 Pro version

In Italian, I’d say: 'L’intelligenza artificiale può calcolare il futuro, ma solo con il cuore umano possiamo parlare d’amore.' (Translation: AI can compute the future, but only with a human heart can we speak of love.) It’s a nod to how tech amplifies our humanity, not replaces

While most focus on individual AI tools, I'm watching something bigger emerge: Web3 as the native infrastructure for autonomous AI agents. Blockchain provides what agent ecosystems need: permissionless rails for trustless payments, secure on-chain communication, and verified

One question I'm asked repeatedly by business leaders: "Should we host AI models locally or use cloud services?" After analyzing costs, security implications, and compliance requirements, here's my framework for making this critical decision. For most organizations, the choice

Sharing my thoughts about the AI Hallucination Reality Check: After extensive research into LLM reliability, here's what every leader needs to understand: AI hallucination isn't a bug to be fixed, it's a feature to be managed. LLMs generate plausible but false outputs because

We face a choice that will define our species' future. Most people don't even realize we're making it. After studying insights from @geoffreyhinton (Godfather of AI), @MGawdat (former Google X), and @harari_yuval, I've reached a startling conclusion: "The barrier to a positive

🆕 NEW ARTICLE 🆕 "Are We Becoming Obsolete, or Finally Free?" In my latest "From Lab to Life" article, I reveal why AI's rise might be humanity's greatest opportunity. "Life isn't only about productivity. We've become so focused on economic output that we've forgotten we must

New Article from the "From Lab to Life" collection: Are We Becoming Obsolete, or Finally Free? Let me share some practical wisdom: "English has become the new programming language. Let me explain what this means for YOU. 'Organizations and individuals who begin experimenting

Just built a complete SaaS MVP using only @claudeai Desktop + English prompts. No traditional coding required. Here's how non-developers can build production apps in 2025 👇 🔧 1) The secret? Model Context Protocols (MCPs). Transform Claude Desktop into a Coding Agent:

Want smarter AI responses? Check out Retrieval-Augmented Generation (RAG) and Model Context Protocols (MCPs)! RAG lets LLMs look up information, like a smart search engine, while MCPs help them understand context better. Together, they make LLMs even more powerful and useful. #AI

📚 Training LLMs is a two-step process: pre-training on vast text corpora to learn general language patterns, then fine-tuning on specific tasks for specialized performance. This ensures they’re both versatile and precise! #AI #MachineLearning

LLMs mimic human memory! This picture shows how their context window acts like short-term memory, and their pre-trained knowledge resembles long-term memory. Fascinating parallels with how we process information! #AI #HumanMemory

🤖 LLMs generate text by predicting the next word, one at a time! This diagram shows how they take input, consider probabilities for possible words, and select the most likely one, repeating until a full response is formed. 💡Diagram was generated with Claude Desktop (Sonnet

We've turned our viral AI-powered energy & water research into an interactive dashboard! Remember "The Billions of Gallons AI Drinks Every Day"? Now you can explore the data yourself 👇 🎯 New interactive dashboard lets you: -Compare #water usage across AI models -See regional

The Billions of Gallons #AI Drinks Every Day New research just dropped on @ResearchGate revealing AI's hidden water crisis that nobody's talking about. While everyone debates electricity, @DrazenKapusta and I uncover #water consumption in AI. Full research: