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Mixture of Experts

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Welcome to Mixture of Experts, your weekly deep dive into the ever-evolving landscape of artificial intelligence—bringing you insightful discussions on the latest AI trends, innovations, and their impact on business. From breakthrough research to practical applications, each episode offers a balanced blend of expertise and analysis. Explore how AI is reshaping industries, driving efficiency, and unlocking new opportunities for growth. Whether you're a seasoned professional seeking to stay ahead of the curve or an enthusiast curious about the future of technology, Mixture of Experts delivers the perfect mix of insights and practical knowledge. Tune in and stay informed as we navigate the dynamic intersection of AI and business.

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episode AI code generation: Wins, fails and the future artwork

AI code generation: Wins, fails and the future

What’s the future of AI code generation? This week on Mixture of Experts, host Tim Hwang is joined by Chris Hay, Olivia Buzek and Gabe Goodhart to debrief the biggest AI use-case of 2025: AI-powered software engineering.   Claude Opus 4.5  solved a months-long optimization in under an hour but failed spectacularly at simple tasks. The barbell effect is real. Next, who's the architect—you or the model? We discuss agent orchestration, context windows and why tool performance varies wildly. Then, model differentiation: are OpenAI and Anthropic fundamentally different, or does agent architecture matter more? Finally, can open-source compete with closed ecosystems? We explore vertical integration, inference costs and the future of open models. All that and more on this week's Mixture of Experts.  00:00 – Introduction  01:11 – The barbell problem: AI coding wins and fails  03:46 – Claude Code cracks Apple Metal optimization  07:52 – Who's the architect: You or the AI?  11:44 – Model vs agent orchestration  20:44 – The future of unsupervised AI agents  24:30 – Open source vs proprietary tools  33:22 – The inference cost challenge  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.    Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 [https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120]  Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts [https://www.ibm.com/think/podcasts/mixture-of-experts]  Learn more about AI code generation → https://www.ibm.com/think/topics/ai-code-generation [https://www.ibm.com/think/topics/ai-code-generation]

26. des. 2025 - 35 min
episode Disney's AI bet: USD 1B OpenAI content deal explained artwork

Disney's AI bet: USD 1B OpenAI content deal explained

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts [https://www.ibm.com/think/podcasts/mixture-of-experts]  Why did Disney pay OpenAI a billion dollars to use their characters? This week on Mixture of Experts, host Tim Hwang and experts Marina Danilevsky, Martin Keen and Kush Varshney analyze Disney's three-year OpenAI licensing deal, and what it means for IP owners, content creators and the future of fan-generated AI content. Next, Time Magazine names “Architects of AI” as 2025 Person of the Year—it’s not the first time the person of the year was not a person, but what’s different about this? Then, NVIDIA drops Nemotron 3 open-source models; we explore what makes this model release different. Finally, Anthropic’s Soul Document leaked. We unpack model alignment, philosophy in AI and the future of prompting vs. fine-tuning.  00:37 – Introduction  02:14 – Disney and OpenAI billion-dollar deal  10:35 – Time Magazine's Person of the Year: Architects of AI  15:39 – NVIDIA Nemotron 3 open-source models  24:10 – Claude's Soul Document and model alignment    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.    Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 [https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120]  #OpenAI, #DisneyAI, #NVIDIANemotron, #ClaudeAI, #AIModels

19. des. 2025 - 38 min
episode GPT-5.2 code red & AWS Nova models drop artwork

GPT-5.2 code red & AWS Nova models drop

Should we care about GPT-5.2? This week on Mixture of Experts, we analyze the “code red” release of GPT-5.2 as OpenAI responds to Gemini 3. Are the constant model drops benefitting consumers? Next, Stanford released their Foundation Model Transparency Index, revealing a troubling trend that most labs are becoming less transparent. However, IBM Granite achieved a 95/100 score. Then, our experts discuss what model transparency means for enterprise AI adoption. Finally, we debrief AWS re:Invent’s biggest announcements, including Nova frontier models and Nova Forge. Join host Tim Hwang and panelists Kate Soule, Ambhi Ganesan and Mihai Criveti for our expert insights. 00:00 – Intro 1:02 -- GPT-5.2 emergency release 12:21 -- Stanford AI Transparency Index: Granite scores 95/100 27:18 -- AWS re:Invent: Nova models and enterprise AI 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. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 [https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120] Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts [https://www.ibm.com/think/podcasts/mixture-of-experts ] #GPT-5.2 #AITransparency #GraniteModels #AWSNova #AIAgents

12. des. 2025 - 41 min
episode AI model analysis: Mistral 3, DeepSeek-V3.2 & Claude Opus 4.5 artwork

AI model analysis: Mistral 3, DeepSeek-V3.2 & Claude Opus 4.5

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   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.    Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts [https://www.ibm.com/think/podcasts/mixture-of-experts]  Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 [https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120]  #Mistral3 #DeepSeek #ClaudeOpus #AIscalinglaws #AIagents

05. des. 2025 - 35 min
episode AI agents in 2025: Why agentic commerce isn't ready for Black Friday yet artwork

AI agents in 2025: Why agentic commerce isn't ready for Black Friday yet

Will Black Friday 2025 be the breakout moment for agentic commerce? This week on Mixture of Experts, we're departing from our usual format for a Thanksgiving special focused entirely on AI agents. Host Tim Hwang is joined by Chris Hay, Lauren McHugh Olende and Volkmar Uhlig to debate whether 2025 is truly the "year of agents." Our experts break down why consumer-facing agentic commerce still faces major hurdles. We also explore the massive gap between building agent prototypes and deploying them at scale and discuss why the developer ecosystem needs a "Shopify moment." Then, could language-to-agent interfaces bypass traditional development entirely? From coding agents like Claude Code to cost optimization challenges, this episode covers what needs to happen for agents to move from POC to production. And finally, who's positioned to dominate the space?   Plus: Anthropic dropped Claude 4.5 Opus this week. We sit down with Mihai Criveti to discuss initial impressions of the new model. Does this put Anthropic back at the top of the AI game?   00:00 – Introduction  01:12 – Claude 4.5 Opus is here  09:32 – Will Black Friday be big for agentic commerce?  16:11– Agent experience for consumers vs. Enterprise  17:31 – Is 2025 the year of the Agent?  23:02 — AI agents in the developer ecosystem  31:16 — Who will win the agent race?  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.    Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 [https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120]  Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts [https://www.ibm.com/think/podcasts/mixture-of-experts]  Learn more about AI Agents → https://www.ibm.com/think/topics/ai-agents [https://www.ibm.com/think/topics/ai-agents]

28. nov. 2025 - 41 min
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