Matt Dancho
Generative AI data scientist; frequent posts on building AI/data systems, unstructured data pipelines, agents—useful for big‑data analytics.
Follow 5 Steps to a $200k AI Data Science Career
The 5-part path to a $200k AI DS career: 1. Code daily (Python) 2. Analyze real data 3. Make 1 portfolio ML app 4. Add LLM/RAG skills 5. Create AI DS Agents w/ LangGraph You literally can grow into a $200,000 career. This is how (register here): https://learn.business-science.io/registration-ai-workshop-2
GPT‑6 Could Self‑Adapt and Evolve Post‑Deployment
🔥 GPT-6 may not just be smarter. It literally might be alive (in the computational sense). A new research paper, SEAL: Self-Adapting Language Models (arXiv:2506.10943), describes how an AI can continuously learn after deployment, evolving its own internal representations without retraining. Here...
AutoResearchClaw Open‑sources the Future of Automated Research
RIP manual research workflows. Someone just open-sourced what comes after Karpathy’s AutoResearch. It’s called AutoResearchClaw. And this thing is insane.
AI's Exponential Rise Turns Laughter Into Job Loss
AI capabilities are on an exponential. This is why you hear people lol-ing results 12 months ago. Then 3 months ago they stop lol-ing. Then 4 weeks ago they felt threatened. Then 5 days ago they lost their job. Exponentials should not be taken lightly....
Month-by-Month AI Data Scientist Roadmap for 2026
The 2026 AI Data Scientist Career Roadmap: • Month 1: Python, Pandas, Scikit-Learn • Month 2: LangChain + OpenAI • Month 3: LangGraph • Month 4: AWS Cloud  Want help? 👉 Register here: https://learn.business-science.io/registration-ai-workshop-2
Generative AI Data Scientists Replace Traditional Roles
RIP Data Scientists. The Generative AI Data Scientist is NOW what companies want. This is actually good news. Let me explain:
McKinsey Reveals Blueprint for Effective Agentic AI
🚨McKinsey just dropped how to build agentic AI (that works) Here's everything you need to know in 2 minutes:
Context Engineering 2.0 Redefines Human‑AI Interaction
🚨 RIP Prompt Engineering Enter Context Engineering 2.0 It completely reframes how we think about human-AI interactions. This is what you need to know (28 page PDF):
Build a $200k AI Career for Under $12
My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You literally can grow into a $200,000 career for less than $12/year. I’m teaching it live (free): 👉 https://learn.business-science.io/registration-ai-workshop-2
Eight Essential LLM Types for AI Agents
8 Types of LLMs used in AI Agents (Must know for Gen AI Data Scientists & AI Engineers): Here's what they are and what they do: 🧵
Demystifying K-Means: Essential Yet Simple for Beginners
K-means is an essential algorithm for Data Science. But it's confusing for beginners. Let me demolish your confusion:
Master a Decision-Ready AI Workflow for 2026
2026 AI/DS Career Survival Roadmap: 1. Learn Python + real data 2. Go from ML model → actionable prediction 3. Add AI → interpret + next actions 4. Decision-ready output (no meeting) 5. Rerunnable workflow (weekly) Want the AI/DS workflow live (free)? https://learn.business-science.io/registration-ai-workshop-2
Fix R‑squared Errors, Boost Model Accuracy 50%
R-squared is one of the most commonly used metrics to measure performance. But it took me 2 years to figure out the mistakes that were killing my regression models. In 2 minutes, I'll share how I fixed 2 years of...
Nanobot Replaces Openclaw: 99% Smaller, Instant Deployment
R.I.P. openclaw. Introducing nanobot. 99% smaller. Same core agent capabilities. Start using it in under 10 minutes.
Master 2026's Top 10 Python Generative AI Libraries
Top 10 Python Libraries for Generative AI You Need to Master in 2026 (The tools behind document agents, intelligent assistants, and next-gen interfaces.) Everything you need to know: 🧵