AI model analysis: Mistral 3, DeepSeek-V3.2 & Claude Opus 4.5
Explore the podcast → https://ibm.biz/Bdb9GX Is open source winning the AI race? This week on Mixture of Experts, we analyze three major model releases that dropped in the final weeks of 2025: Mistral 3, DeepSeek-V3.2 and Claude Opus 4.5. Our experts discuss what makes each model unique—from Mistral’s multimodal capabilities to DeepSeek’s reasoning-first approach and Claude’s developer focus. Are there too many good models? Next, a provocative blog post from Theory Ventures argues Gemini 3 proves scaling laws are throwing more compute at the problem. We debate if scaling laws are a universal truth. Finally, Amazon just blocked ChatGPT’s shopping research agent from accessing product data. We discuss the business incentives threatening the agent dream. Join host Tim Hwang and panelists Aaron Baughman, Abraham Daniels and Gabe Goodhart on this week’s Mixture of Experts for more! 00:00 – Intro 02:05 – Model launches: Mistral 3, DeepSeek-V3.2 and Claude Opus 4.5 15:32 – AI scaling laws & Gemini 3 26:23 – Amazon blocking ChatGPT shopping research agent Subscribe for AI updates → https://ibm.biz/Bdb9GH The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. #Mistral3 #deepseek #aiagents

Thinking Machines Lab drops Inkling & Meta’s Muse Spark 1.1

AI Code Generation: Wins, Fails and the Future

12-hour study | 50+10 | Rain SFX | Computer Science

Why Google Just Gave Away Gemma 4 for Free

Ex-Google Insider Reveals The Future Of AI in 2026...

Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next

Mistral AI vs. Silicon Valley: The Rise of Sovereign AI

ChatGPT Atlas, OpenAI’s new web browser

Copilot usage reveals AI adoption patterns

Who Wins if AI Models Commoditize? — With Mistral CEO Arthur Mensch

Jim Chanos: The AI Bubble Is “Much Worse” Than Dot-Com

The Riskiest Moment of the AI Bubble

The AI Model Nobody's Talking About — Mistral 3.5 & The Sovereignty Question

Ex-Google Insider: You're Not Ready For The Next Phase of AI

Stop Using AI Wrong — Agentic AI vs RAG Explained

🔴 Before You Leave, God Wants To Reveal Something That Could Change Your Life Forever Today

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrasctructure, Enterprise AI, SaaS

How I'd Learn AI From Scratch in 2026 (skip the useless 80%)

RAG vs Agentic AI: How LLMs Connect Data for Smarter AI

