Have you heard these exciting AI news? - October 31, 2025 AI Updates Weekly

Have you heard these exciting AI news? - October 31, 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/tree/master/2025 (click on pptx file, then on "raw" or download button on the right) ------------------------------------------------------- Please write in comments if you have experience or tips for using "skills" - Claude Agent Skills or local skills ------------------------------------------------------- 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 Intro 00:24 "OpenAI's infrastructure deals surpassed $1.4 Trillion" 00:30 "NVIDIA Market cap surpassed $5 Trillion" 00:34 Crowd-sourced "LM Arena" Leaderboard 00:51 Alpha Arena: Trading Real Crypto 02:27 NVIDIA GTC Washington, D.C., $5T valuation 04:25 OpenAI converted to a for-profit - October 28, 2025 05:33 OpenAI $1.5T, SoftBank's $30B for OpenAI approved 06:40 MiniMax-M2 model Open-Source 07:46 Self-improving AI agents - HGM 08:41 Evil Examples Corrupt All LLM Outputs 09:14 OpenAI Music Generator - not released yet 09:28 Dia - AI browser from The Browser Company 09:55 HoloCine open-source long video model 10:11 Krea Realtime 14B autoregressive video model 10:22 Google Earth AI for disaster forecasting 10:52 The Kingdom of Jordan - Siraj AI for Schools 11:16 Oracle $38 billion debt financing package 12:21 Google to give 1M+ TPUs to Anthropic 13:04 Microsoft Copilot updates 13:33 Interview with Perplexity CEO Aravind Srinivas 15:06 Open Notebook - alternative to NotebookLM 16:10 GitHub Agent HQ 16:57 OpenAI timeline for automated AI research 17:30 Mistral's AI Studio Platform 17:40 Stability AI and EA (Electronic Arts) Partnership 18:18 Thinking Machines Lab on Continous Learning 19:10 Ripple Effect Protocol (REP) 19:38 ProtocolBench and ProtocolRouter 20:03 Amazon AI Data Center For Anthropic in Indiana, US 21:01 Raising Money via Securities 21:57 Extropic's Thermodynamic Computing 22:39 Saudi Arabia $40 Bln push building data centers for AI 23:19 OpenAI signs PayPal to process ChatGPT payments 23:38 Elon Musk Grokipedia 24:16 Cursor 2.0 26:14 WoW: Self-Evolving AI System 26:27 Neo: The $20K Humanoid Robot 26:51 Unitree G1: Strength and Balance 26:59 Bumi: Affordable 94cm Humanoid Robot 27:11 Shoes and Wine Glass Questions 28:42 Amazon lays off 14K people 29:01 Jobs, Layoffs, demand for AI Engineers -------------------------- # Main Takeaways 1. *Massive Financialization and Concentration of AI Compute:* The Unprecedented financial growth and infrastructure commitment, highlighted by *OpenAI's $1.4 trillion infrastructure deals*, *NVIDIA's $5 trillion market cap* milestone, and a massive *$38 billion debt financing package by Oracle* to fund data centers for OpenAI (Stargate Project). This suggests that control over compute, cooling, and fiber capacity is seen as controlling the future AI economy ("financialization of compute and monopolization of digital energy"). 2. *Increased Competition in Models and Hardware:* The *Alpha Arena crypto trading experiment* showing Chinese models (*Quen, Deepseek*) outperforming major Western models (*GPT-5, Gemini, Grok*). Furthermore, there is a clear trend toward *companies developing their own AI chips* (OpenAI, Amazon/Trainium 2, Google/TPUs) to break the NVIDIA monopoly. 3. *The Rise of Specialized and Agentic AI Systems:* Moving beyond monolithic LLMs toward specialized tools and systems. This includes: *Self-improving AI agents* (HGM) and new protocols for coordinating large numbers of agents (Ripple Effect Protocol). *Specialized models like *MiniMax-M2* (for coding/agents), *Krea Realtime* (autoregressive video), and *Dia* (AI browser). *The concept of *Continuous Learning* as the key to the next breakthrough, leading to "superhuman learners." --- # Top 3 Quotes 1. "Western models unfortunately losing money and Chinese models are making money" 2. "This represents what analysts call the *financialization of compute and monopolization of digital energy*, treating data centers as modern oil fields where controlling power, cooling and fiber capacity means controlling the AI economy" 3. (From Perplexity CEO Aravind Srinivas): "If you describe in one word it's *exponential* and another word is *relentless*"