Have you heard these exciting AI news? - December 19, 2025 AI Updates Weekly

Have you heard these exciting AI news? - December 19, 2025 AI Updates Weekly Presented by Lev Selector Slides on GDrive: https://drive.google.com/drive/folders/1dmj00iilSP-JYmriMUUaHCKz5X54e3UX?ths=true Slides on GitHub - https://github.com/lselector/seminar (click on pptx file, then on "raw" or download button on the right) ------------------------------------------------------- Please write in comments your opinion comparing Gemini 3 Flash vs Gemini 3 Pro for coding ------------------------------------------------------- Need AI Consulting ? - Enterprise AI Solutions - https://EAIS.ai - Linkedin - https://www.linkedin.com/in/levselector - GitHub - https://github.com/lselector ------------------------------------------------------- Our books: "Artificial Intelligence In Business: Strategies That Work" https://www.amazon.com/dp/B0FKZ3364G/ "AI Product Manager: Building Tomorrow" https://www.amazon.com/dp/B0FMS9NFK9/ "How to Learn with AI?: A Practical Guide for Students, Professionals, and Self-Learners" https://www.amazon.com/dp/B0FWLNVQMJ/ --------- Contents of today's video: 00:00 Introduction to Weekly AI Updates 00:15 Life rewards action, not intelligence – James Clear 00:40 Crowd-sourced “LM Arena” Leaderboard 03:03 Gemini 3 Flash 03:55 Nvidia Nemotron 3 04:38 Abacus AI vs Manus AI 05:30 Google Gemma 4 06:15 OpenAI GPT Image 1.5 model in ChatGPT 07:05 Gemini Super Gems – Free workflow tool 08:01 Claude Chrome browser extension 09:27 ChatGPT 5.2 vs Claude Opus 4.5 vs Gemini 3 10:13 Nvidia can export H200 AI chips to China 10:42 Scaling Laws for Multi-agent Systems 11:47 NotebooksLM-Ultra 12:32 Continue Dev “Mission Control” dashboard 13:15 Nous Research Nomos-1 math open-source 13:49 Get AI compliance ready for 2026 14:49 Web Research Multi-Agent Architectures 15:28 Demis Hassabis about AI in 2026 16:11 Practical Claude Code Hints 16:56 AI advantage is compounding 17:23 Prompting Claude Code / Claude Opus 4.5 17:38 Claude Code’s new plugins update 18:28 Anthropic’s Claude Code background sub-agents 18:44 Julia McCoy – “How I Clone Myself …” 19:59 Amazon’s Graviton 5 20:27 Apple CLaRa Framework 21:37 Moonshots 23:13 Get Rich with AI in 2026 24:17 Integral AI = True AGI ? 24:55 Misc. AI Updates 29:59 Jobs, Layoffs, demand for AI Engineers ----- Takeaways: 1. AI advantage now comes from action and execution through agents and workflows, not raw intelligence or model quality alone. 2. Cheaper, faster models and multi-agent systems are enabling practical automation, but scaling must be done carefully to avoid coordination overhead. 3. AI adoption compounds over time, giving early adopters exponential advantages in productivity, revenue, and learning. ----- Quotes: "Life rewards action, not intelligence." "Adding more agents doesn’t always help; it often slows systems down." "AI advantage works like compound interest." ----- Summary: In this talk, the speaker reviews a wide range of weekly AI updates and frames them around a central idea: AI progress is shifting from intelligence and benchmarks toward real-world action, automation, and execution. He compares leading models, highlights cost-performance breakthroughs, discusses agent-based systems, compliance, and workflows, and argues that companies and individuals who actively deploy AI gain compounding advantages. The overall message is that practical use, iteration speed, and integration into real systems now matter more than model hype. ----- Keywords: AI agents, automation, compounding advantage, multi-agent systems, LLMs, workflows, compliance, productivity, execution, scaling laws -----