Max and AI expert Noor Valente unpack Ubuntu’s Snap‑driven AI push, a privacy study showing prompts can be reconstructed from LLM internals, Samsung’s Galaxy AI browser on Windows, a 3.8B model matching GPT‑4o on a factual benchmark via Exoskeleton Reasoning, NVIDIA’s GTC DC ecosystem play, Eclipse’s ADL standard for agent design, practical prompt‑cost optimizations, Felicis’ community‑centric AI investing, CampusAI’s upskilling platform, AI in healthcare, Amazon’s handy Alexa dimmer switch, CrowdStrike’s agentic AI focus—and AI art’s cultural provocations. Key takeaways: structure beats size, embeddings are personal data, and standards plus UX drive trustworthy AI.
Sources:
- Fal.Con Europe 2025 Highlights Ecosystem in Cybersecurity
- What Really Happened Inside NVIDIA’s GTC DC 2025
- Humains-Junior: A 3.8B Language Model Achieving GPT-4o-Level Factual Accuracy by Directed Exoskeleton Reasoning
- Samsung Internet beta brings Galaxy AI to Windows PCs
- Linux vendors are getting into Ubuntu – and Snap
- Why Felicis’ Newest Partner Focuses On Community Building To Win AI Deals At Seed
- 👨🏿🚀TechCabal Daily – Bolt leans into e-licencing rules
- Inside CampusAI’s mission to close the AI training gap for everyday workers — check it out at TechCrunch Disrupt 2025
- 4 Techniques to Optimize Your LLM Prompts for Cost, Latency and Performance
- MP Integrative Health honored for innovation in data-driven wellness approaches
- Eclipse ADL: Standardisierte Sprache für Entwurf und Steuerung von KI-Agenten
- AI-generated nostalgia and a Nazi horse: a trip beyond understanding – in pictures
- Ya sabemos cómo recuperar los prompts exactos que usa la gente en modelos de IA. Es una noticia terrorífica
- This $20 gadget will completely change how you use Alexa at home