Mixture of Experts

Is your desktop ready for AI agents? In episode 90 of Mixture of Experts, host Tim Hwang is joined by Volkmar Uhlig, Olivia Buzek and Mihai Criveti to break down Anthropic's Claude Cowork launch—bringing the power of Claude Code to everyday job tasks. Would you trust an AI agent to organize your files? Next, Apple announces a partnership with Google to power the next generation of Siri with Gemini models. What does this mean for on-device AI, privacy and the future of edge intelligence? Then, in a surprising turn, Linux creator Linus Torvalds admits to using AI agents for a side project involving vibe coding, despite once mockingly saying that “vibe”stands for “very inefficient but entertaining.” Are coding tools finally good enough for even the old guard? All that and more on today's Mixture of Experts. 00:00 – Introduction 01:17– Claude Cowork 13:25 – Apple-Google AI deal 27:39 – Linus Torvalds on vibe coding 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 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #ClaudeCowork #AppleGoogleAI #GeminiSiri #VibeCoding #AIagents

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is NVIDIA unstoppable? In this episode of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Kaoutar El Maghraoui and Martin Keen to unpack the biggest announcements from CES 2026. First up, NVIDIA's Jensen Huang revealed the Rubin platform—a chip architecture promising 5X the performance of Blackwell and slashing inference token costs by 10X. Does this cement NVIDIA’s dominance? We also explore the wild world of CES gadgets. Then, we look at whether Meta's USD 2 Billion acquisition of Manus AI signals a major pivot toward enterprise agentic platforms. Later, we dissect DeepSeek’s newpaper on manifold-constrained hyperconnections (MHC)—a smarter way to train models that prioritizes efficiency over brute-force scaling. Finally, we analyze new polling data revealing Americans' complex relationship with AI: optimistic about the benefits but deeply concerned about who controls it. All that and more on Mixture of Experts! 00:00 – Introduction 01:27 – CES 2026 12:41 – Meta's USD 2 Billion Manus bet 20:08 – DeepSeek tackles scaling 33:35 – AI optimism vs. fear 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 #CES2026 #NVIDIARubin #MetaManusAI #DeepSeekScaling #AIagents

What defined AI in 2025 and what’s coming in 2026? In this special year-end episode of Mixture of Experts, host Tim Hwang sits down with veteran panelists to review the biggest AI moments of 2025 and make bold predictions for the year ahead. Kaoutar El Maghraoui unpacks the AI hardware supply crisis and NVIDIA's chip dominance. Gabe Goodhart defends open source's breakout year with models like Kimi K2 Thinking. Chris Hay argues 2025 delivered on "super agents" through ChatGPT Deep Research and Claude Code. Finally, Aaron Baughman and Abraham Daniels predict the future of multimodal AI—from vision models to autonomous digital workers. Join our experts as they separate AI hype from reality and forecast what 2026 holds. 00:00 – Introduction 00:45 – Chris: Super agents, reasoning models and 2025 reflections 12:26 – Gabe: Open source's breakthrough year and what's next 22:17 – Kaoutar: AI hardware in 2025 and predictions for 2026 29:18 – Aaron & Abe: Multimodal AI and modular model orchestration 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 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

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 Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Learn more about AI code generation → https://www.ibm.com/think/topics/ai-code-generation

Visit Mixture of Experts podcast page to get more AI content → 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 #OpenAI, #DisneyAI, #NVIDIANemotron, #ClaudeAI, #AIModels