Mixture of Experts

The new AI race: Enterprise innovation in 2026

Read the Enterprise 2030 study → https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/enterprise-2030 [https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/enterprise-2030]  Is Claude Code having its ChatGPT moment? This week on Mixture of Experts, host Tim Hwang is joined by Chris Hay, Gabe Goodhart and Francesco Brenna to unpack the shifts happening in AI as 2026 kicks off. First, OpenAI confirms ads are coming to ChatGPT, raising questions about trust, economics and the future of AI product models. Next, Claude Code is exploding in popularity! Developers are discovering what agentic coding can really do, and it's transforming how software gets built. Then, we analyze a new report from IBM’s Institute for Business Value— “The enterprise in 2030”, which reveals how executives are planning to shift from AI-driven efficiency to AI-powered innovation. Finally, Hugging Face launches Open Responses, a new standard for agent APIs that could reshape AI development while raising questions about transparency and control. All that and more on this week's Mixture of Experts to learn more.    * 00:00 – Introduction  * 01:30 – OpenAI brings ads to ChatGPT  * 12:25 – Claude Code's breakout moment  * 22:57 – IBV’s Enterprise 2030 report  * 36:09 – Open Responses: The future of agent APIs    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.    Explore IBM Enterprise Advantage [https://www.ibm.com/consulting/enterprise-advantage ] Visit Mixture of Experts podcast page to get more AI content [https://www.ibm.com/think/podcasts/mixture-of-experts]

Claude Cowork analysis & Apple picks Gemini

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 [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]  #ClaudeCowork #AppleGoogleAI #GeminiSiri #VibeCoding #AIagents

CES 2026 AI highlights: NVIDIA Rubin & wild gadgets

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]  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 [https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120]  #CES2026 #NVIDIARubin #MetaManusAI #DeepSeekScaling #AIagents

AI year in review: Trends shaping 2026

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 [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]

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]