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
20 分