Show Notes
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
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 0:45 – 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
#AIpredictions2026 #OpenSourceAI #AIagents #MultimodalAI #AIhardware
More from Mixture of Experts
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts This week on Mixture of Experts, host David Zax is joined by Kaoutar El Maghraoui, Nick Gallagher, and Volkmar Uhlig. First, Microsoft, OpenAI, Perplexity, and Cloudflare follow TypeSafe’s Jev in building decision models, a new category of AI built to make fast, scored judgments. The panel debates whether these models are truly new or a more efficient application of existing technology, and whether better-calibrated confidence scores can help address the overconfidence problem in LLMs. Next, a new study finds that teams of AI agents can cost two to five times more than a single agent without consistently delivering better results. The panel discusses when multiple agents are worth the added cost and complexity. Finally, Anthropic updates its usage policy to prohibit “sustained and needless abusive or cruel behavior” toward its models, raising a bigger question: Is this about protecting AI, shaping human behavior, or something else entirely? The panel considers the ethical implications and whether the policy could also be a marketing play.
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts On episode 125 of Mixture of Experts, host Tim Hwang and co-host David Zax are joined by Mihai Criveti and Abraham Daniels to discuss the back and forth of frontier AI development, IBM’s latest Granite news, and what’s next for personal agents.