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 Ash Minhas, Judith Aquino and Jessica Nahulan to discuss how AI is testing the systems we rely on, from cybersecurity to model evaluation. First, the panel examines PHP2Shell and what happens when AI can find vulnerabilities faster than organizations can fix them. Can our aging software infrastructure keep up? Next, Block's Dessa introduces a voice model trained entirely on speech that can listen and talk simultaneously. The panel discusses what makes this approach different and how to evaluate a model designed to converse more like a human. Then, a new cultural riddles benchmark reveals gaps in how language models interpret cultural context, prompting a broader debate about whether today's benchmarks reward guessing over admitting uncertainty. Plus, IBM Field CTO Kiyu Gabriel joins from IBM TechXchange 2026 to discuss Streamhouse and how AI agents are changing the demands on enterprise data infrastructure. 00:00 – Intro 01:18 – AI discovers major PHP2Shell flaws 14:30 – Dessa: An AI model trained on speech 22:38 – Cultural riddles reveal model blind spots 30:22 – IBM TechXchange: Data for the agent era All that and more on Mixture of Experts. "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. AI tools may be used to transcribe this episode and support selected stages of the production process. All AI-assisted content is reviewed by the production team before publication."

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts What happens when an AI model can copy itself onto the devices in yout hoome? This week on Mixture of Experts, host David Zax is joined by Aili McConnon, Sandhya Iyer and Jacob Repp. First, Anthropic research suggests small AI models may be months away from copying themselves across cheap smart devices without a data center. The panel debates whether the bigger risk is the model itself or the poorly secured devices already in our homes. Next, a JAMA study finds that about half of US doctors use OpenEvidence, a clinical chatbot, more often for treatment decisions than for diagnosis. The panel discusses whether faster, less-vetted answers are a trade worth making. Finally, 22 founders let AI agents book their seats at a Manhattan dinner, and the agents networked with each other in a chat room. The panel considers how much autonomy agents should get when they deal with other agents. 00:00 – Intro 01:17 – AI models approach self-replication 14:22 – Study reveals how doctors are using AI 26:38 – Agents network at a founders’ dinner All that and more on 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. 00:00 – Intro 01:17 – Inside the decision model boom 10:54 – When are agent teams worth the cost? 23:39 – Anthropic's new usage policy All that and more on Mixture of Experts. "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. AI tools may be used to transcribe this episode and support selected stages of the production process. All AI-assisted content is reviewed by the production team before publication."

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Can AI take mathematics beyond human understanding? This week on Mixture of Experts, host David Zax is joined by Kush Varshney, Skyler Speakman, and Utsav Dholakia. First, OpenAI introduces Dots at DevDay, and Utsav shares his firsthand impressions as the panel discusses whether persistent AI agents can truly work independently. Next, OpenAI releases more than 700 AI-generated math manuscripts, raising questions about the future of mathematics and whether humans can keep up with AI-generated math. Then, HackerRank’s Chakra brings AI to job interviews, prompting a debate about bias, access to opportunity, and how we evaluate candidates. Finally, Reflection AI unveils Beam, giving the panel an opportunity to explain mixture of experts models and the difference between open-weight and open-source AI. 00:00 – Intro 00:58 – Inside OpenAI DevDay and Dots 9:08 – AI generates 700+ math manuscripts 16:03 – HackerRank’s AI interviewer 24:18 – Mixture of experts models, explained All that and more on Mixture of Experts. "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. AI tools may be used to transcribe this episode and support selected stages of the production process. All AI-assisted content is reviewed by the production team before publication."

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts What makes an AI company pull the plug on a model release? This week on Mixture of Experts, our newly minted full-time host David Zax is joined by Chris Hay, Madison Gooch, and Ash Minhas. First, OpenAI cancels the release of GPT-6.1 Astra, as the panel debates whether self-restraint is becoming a competitive advantage in AI or just good marketing. Then, Anthropic releases Sonnet 5.5, prompting a discussion about what happens when mid-tier models approach top-tier performance on some tasks. Finally, Meta Muse is making powerful AI agents more accessible to everyday users. We look at how these frictionless user experiences could shape what people expect from AI at work. 00:00 – Intro 01:18 – OpenAI cancels GPT-6.1 Astra release 11:44 – Anthropic releases Sonnet 5.5 23:07 – What Meta Muse means for enterprise AI All that and more on Mixture of Experts. "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. AI tools may be used to transcribe this episode and support selected stages of the production process. All AI-assisted content is reviewed by the production team before publication."