Max and AI expert Silvia Rennard break down why Windows 11 adoption is slower than expected despite Windows 10’s end-of-support, Apple’s AI leadership transition as Amar Subramanya steps in amid Siri delays, and Raspberry Pi’s price hikes fueled by AI-driven memory demand. They explore COPE, an open-source chain-of-thought framework for predicting stroke outcomes from clinical notes, and a hands-on k-NN classifier built in Excel. The duo dives into Ridelink’s AI-enabled logistics and embedded finance for SMEs, what to watch at AWS re:Invent 2025, Zig’s move from GitHub to Codeberg over Actions reliability and AI direction, and Huawei/SERES’s AITO M9 overseas rollout with ADS and satellite connectivity. The episode ends with actionable takeaways and a nudge to tap into free AI seminars this month.

Sources:

• Forthcoming machine learning and AI seminars: December 2025 edition
• Amar Subramanya -The Bengaluru Engineer Now Running Apple’s GLOBAL AI Strategy
• COPE: Chain-Of-Thought Prediction Engine for Open-Source Large Language Model Based Stroke Outcome Prediction from Clinical Notes
• Raspberry Pi just got up to $25 more expensive
• Windows 11 still barely pulling ahead of 10 despite end-of-support push
• Overseas Version of AITO M9 Infotainment System Revealed, Complete with Localized Maps, HUAWEI ADS, and Global Apps
• Ridelink targets SME trade with AI logistics and embedded finance
• AWS re:Invent 2025: How to watch and follow along live
• Apple's head of AI resigns after Siri problems
• The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel
• Zig kehrt GitHub den Rücken: Frust über Actions und Microsofts KI-Kurs
• I found the best Cyber Monday Apple Watch deals

Today’s episode compares small and large language models with Microsoft’s latest on‑device SLM, examines privacy and security pitfalls in AI browsers like Atlas, and shows how to orchestrate multiple GitHub Copilot agents using mission control for real throughput gains. We discuss HSBC’s partnership with Mistral for self‑hosted banking AI, the architecture of AI‑native data centers, and new research suggesting brain‑aligned benefits from convolutional networks. We also parse claims about GPT‑5’s scientific problem‑solving, unpack open‑source model definitions, debate Meta’s dominance in an AI context, explore Avandra’s medical imaging data network, highlight edge‑ready IoT anomaly detection with Isolation Forest, and mark ChatGPT’s third anniversary.

Sources:

• Avandra Acquires DatCard Systems and Sorna Corporation
• AI Native Data Centres: Hype or the Making of a Sovereign Compute Era?
• Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
• ChatGPT turns three today
• How to orchestrate agents using mission control
• HSBC partners with Mistral AI as banking giants spend billions looking for LLM boost
• If Meta Isn’t A Monopoly, Then The Word Doesn’t Mean Anything
• Small changes make some AI systems more brain-like than others
• What are small language models and how do they differ from large ones?
• The Problem with AI Browsers: Security Flaws and the End of Privacy
• When GPT-5 thinks like a scientist
• Open-Source-KI: Was es gibt und wie offen die Modelle wirklich sind
• James Cameron says AI actors are ‘horrifying to me’
• How to take long scrolling screenshots on your iPhone or Android - it's easy