Four cities. One clear message: Europe is building what’s next in AI. Tomorrow, Jensen takes the stage at #NVIDIAGTC Berlin to continue the conversation. See you there.

JENSEN HUANG ZERLEGT MERZ Der Kanzler fragt den Nvidia-Chef auf offener Bühne, wie Europa KI regulieren soll. "Man kann nichts regulieren, wenn es die Technologie gar nicht gibt.“ Die Technologiebranche muss die Technik für Sicherheit selbst erfinden. Sicherheit besteht nicht aus Hoffnungen und Wünschen, Sicherheit ist Technik und Ingenieursarbeit. Zweitens brauchen die Unternehmen verbindliche Standards. Und erst zuletzt kommen Vorgaben von Industrie und Staat. Das Internet zu regulieren ist schwer, Internetanwendungen zu regulieren ist es nicht. Genau dort sollten wir ansetzen, bei den Anwendungen. Es gibt nichts zu regulieren, wenn die Branche nicht gedeiht. Man will doch, dass die deutsche KI-Industrie floriert, und zwar sicher und verantwortungsvoll. Wir wissen, dass wir Technik entwickeln und einsetzen können, die KI sicher macht. Wir wissen, dass wir uns als Unternehmen und als Branche an gute Standards halten können. Und wenn es dann noch nötig ist, regulieren wir." Merz stimmte zu und verwies darauf, dass Maschinen bereits aus dem AI Act herausgenommen wurden. Ein europäischer oder globaler Rahmen sei noch weit entfernt.

Writing is a form of thinking. So don't let AI do it all for you.

"Financial Theory with Python: A Gentle Introduction" at amzn.to/3vvnq4D by @dyjh ———— #Finance #DataScience #DataScientist #Numpy #PANDAS #Mathematics

Inside a human brain when reading a book.

Este libro de algoritmos y estructuras de datos es espectacular y te lo recomiendo mucho. Muy completo, ilustraciones detalladas, con pseudo código y temas desde lo más básico a avanzado. Disponible en PDF totalmente gratis → jeffe.cs.illinois.edu/teachi…

🚨 JENSEN HUANG: “Look at what Elon has done to the automotive industry. He’s essentially turned it into a computing industry, a technology industry. I think every car company is going to be a technology company. Every logistics company, is going to be a technology company.”

Here’s the full Tesla Roadster unveiling event. 0:15 – Crazy Tesla + SpaceX collab preview
2:25 – Last manually driven Tesla car
2:53 – Taking it way past the limits
3:15 – Countdown & first flight works
5:38 – Flying cars are real
5:41 – Peter Thiel flying cars quote
6:02 – Fan suction system (up to 2G)
6:16 – Downforce & crushing track records
7:08 – Starman appearance
7:52 – Rocket thrusters & full gymnastics
8:52 – Kickflip demo (Tony Hawk approved)
9:32 – Real road car + rocket car future
9:56 – Air tanks, nozzles & specs
10:14 – Rechargeable ultra-high pressure air
10:36 – Car reveal & aerospace design
12:50 – Fan modes 
13:37 – Variable pitch rear wing
13:50 – 0-60 goal under 1 second
14:21 – Acceleration demo
16:22 – 0.81s 0-60 achieved
16:26 – Production car will be even quicker
17:05 – World’s quickest production car
17:28 – Top speed & Snake River Canyon teaser
18:26 – Mach 0.5+ goal
18:52 – First best flying car + last best driver’s car
19:04 – Production starts 2028

The CMS Collaboration has presented 6 new results at the 19th International Workshop on Top Quark Physics (TOP 2026), held from October 5 to 9, 2026, in the Antalya Region of Türkiye. Explore the results and their technical description here: cms.cern/news/cms-top-2026

Handbook on Understanding Harness Engineering for AI Agents [48-page PDF]: drive.google.com/file/d/1PT-…

It's #NationalCyberSecurityAwarenessMonth 🌐🔒 To celebrate, we have asked our Tuta community 👥💬 what their favorite browsers, search engines, message and password apps are, and these are the results📊 What are your favorite privacy apps📱? Let us know in the comments 👇 #CyberSecurity #CyberSecMonth #TutaMail #Privacymatters

DISCRETE MATHEMATICS Download it (3rd Edition): discrete.openmathbooks.org/p… -or- Buy it (updated 4th Edition): amzn.to/46dwXR7 -or- Read it online…⤵️

Andrej Karpathy spent 8 years at OpenAI and Tesla. Last week he compressed everything he knows into one free 2-hour lecture. Prompts → Agents → Graphs → Loops→ Harness People spend $15k on bootcamps that teach less than this. You probably don't have 2 hours right now. Don't let it vanish from your feed. Watch it, then read the full Opus 5.5 harness engineering guide ↓

"Domain-Specific Small Language Models: Efficient AI for local deployment" available at amzn.to/4g7mVqW via @ManningBooks + Link to research paper: drive.google.com/file/d/1Aw6…

AMD CEO Lisa Su just went after Nvidia's $4,000 AI box using a $1,499 machine the size of a lunchbox. Holding it up on stage with one hand, she ran a model with 235 billion parameters live, with no data center, cloud or rented GPU behind it. The surprise is the chip. Inside is AMD's Ryzen AI Max+ 395, which became the first x86 processor whose CPU and GPU draw from one shared pool of 128GB of memory. That one design choice lets a desktop handle models that once needed a server rack. On Linux, 110GB of that pool can go to the GPU. An RTX 5090 offers 32GB. A 4090 offers 24GB. So this box has more than three times either card, in a case about as thick as a paperback. The number that stunned the room: on DeepSeek R1 inference, the chip ran more than 3x faster than an Nvidia RTX 5080. A $1,499 desktop beating a $1,000 graphics card on real AI work. For a decade, Nvidia told the world that serious AI meant Nvidia hardware. AMD just made it a desktop item at half the cost. Now the math. A heavy AI user today might pay for Claude Code Max ($200), ChatGPT Pro ($200), Cursor ($20) and Gemini ($20). That adds up to $5,280 a year. At that rate, the box covers its cost within months, then keeps running at no extra charge. The setup: install Ollama, pull Qwen3 235B, and aim Claude Code at localhost. The interface stays the same. But nothing leaves the machine, there is no per-request bill, and no provider slows you down at 3am when you finally sit down to build. This is where every AI subscription starts to look optional. Lawyers worry less about leaks to OpenAI. Developers stop staring at the token counter. Founders stop renting H100s for prototypes they abandon because of the bill. Whoever gets there among the first thousand will own private AI consulting for the next two years. If you're new here, @GeniusGTX is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content.

Learn Bayesian Analysis with Python — Free PDF! How can you use probability to make better predictions and decisions? Bayes' Rule helps you update your beliefs when new evidence becomes available — a powerful concept in statistics, data science, and machine learning. Bayes' Rule with Python: A Tutorial Introduction to Bayesian Analysis Inside, you'll explore: The fundamentals of Bayes' Rule Conditional probability explained Bayesian analysis with Python How to update probabilities using new evidence Practical applications of Bayesian thinking Perfect for Python developers, data science learners, and anyone interested in probability and statistical reasoning. Get the free PDF here: clcoding.com/2026/08/bayes-r…

Boris Cherny, creator of Claude Code: "Opus 5.5 does in a day what used to take your team a month. Most people will keep using it wrong." In 12 minutes he explains why Opus 5.5 needs less prompting than any model before, and why your old detailed prompts now work against you. Watch it now.

Are small language models the future? Some AI leaders say “yes”. "How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers" Available at amzn.to/4aV0amA Build your own AI—without a PhD, expensive hardware, or industry-level resources. Whether you’re a beginner, a student, a scientist, or a domain expert, this book shows you how to create, train, fine-tune, and deploy Small Language Models (SLMs) that truly understand your field. Most AI books explain what models are. This one teaches you to build them. You’ll go from zero to a working GPT-style model, then learn how to fine-tune, align, evaluate, and deploy it for real applications. All chapters include ready-to-run Google Colab notebooks.