https://t.co/eO8xxwLVvJ

I like @schwarzenegger’s Be Useful. One of his remarks stuck with me: “Write half a page every day, and in a year you’ll have a book.” Today, we finalized the layout and sent The Modern AI and Data Platform to print. 📘

Workflow Wednesday ⏱️ AI projects fail less from tech than from teamwork. Like clockwork: success depends on precise alignment: people, skills, and culture working in sync.💡 Clear roles 🧠 Strong skills (AI, MLOps, security, storytelling) 🤝 Culture of quality, curiosity.

https://t.co/tM1CGHP5B4

AI-based heart-failure detection can work from simple ECGs, making diagnosis more accessible to underserved regions. https://t.co/a5fIsjrMBF

AlphaDev discovered a faster way to sort small data sets. The algorithm is now part of LLVM, bringing small but measurable speedups to nearly every modern device. https://t.co/VLU8VQZOxs

The designed-by-AI drug Rentosertib shows improved lung function in Phase II clinical trials, meaning it could eventually help patients breathe a bit easier. https://t.co/vrzUkpk72j

Robots and AI working together to find a new, less toxic compound for future LEDs (they performed 64 real experiments, improving material performance by around 150%). https://t.co/87Q8HlNKJu

AI is doubling fast, like water lilies on a lake. 🌊 Faster models, smarter algorithms, real impact. A self-reinforcing loop: better AI → better science → better AI. I spent time finding real-impact cases among all the hype.

Workflow Wednesday 🕵️‍♂️ AI impact starts with the right questions: Questions → Data → Model → Value. Miscount customers and churn is distorted. Misdefine products and campaigns skew. Business questions are not detail: they are the case board for AI.

Trend Tuesday 🍟 AI speeds things up. Often at cost. Developers code faster and 25% of AI output carries flaws. In medicine, GPT-4 alone beats doctors. As a mere support tool, its edge disappears. Like tractors in 1915, true gains need systemic change. What structures must shift?

Theory Thursday: Why LLMs Hallucinate A Fata Morgana promises relief but leads you astray. So do LLM hallucinations: fluent answers that are wrong. They result from misaligned training incentives and other sources. Always verify. How do you stay clear-headed? (soon on linkedin)

AI and data-driven value creation is hindered when artificial complexity piles onto already difficult problems. Silos, microservice sprawl, and legacy habits slow progress. Be Michelangelo: separate inherent complexity from the artificial, and cut it away.

🚢 Trend Tuesday: Digital Twins Eat Terabytes for Breakfast Fleets, cities, the gut microbiome: digital twins push into the petabyte era. Lakehouses become massive ports where queries are cranes, data is cargo, and storms are node failures. How do you keep your port running?

🧠 Theory Thursday: Product Discovery Without the Guesswork AI doesn’t just automate. It reveals demand. Every product search is a data point, a revealed preference. That’s product discovery at scale. What’s something difficult to find you searched recently? Full --> linkedin

what is your goto lib for LLM assisted data analysis?

Want to know what will happen to Elon? Look at what happened to Steve Jobs.

Trump back on twitter: did it for me

Congratulations, @Dr_ThomasZ

... still glowing...