Mixture of Experts

IBM
  • 5.0 (12)
  • Technology
  • Weekly

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. Visit the podcast page: https://www.ibm.com/think/podcasts/mixture-of-experts

  1. 2d ago

    AI exposes a major web security flaw, plus a new kind of voice model

    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."

    AI exposes a major web security flaw, plus a new kind of voice model

  2. Oct 23

    Self-replicating AI, your doctor’s chatbot & agents at dinner

    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.

    Self-replicating AI, your doctor’s chatbot & agents at dinner

  3. Oct 16

    Decision models take off & Anthropic bans cruelty to Claude

    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."

    Decision models take off & Anthropic bans cruelty to Claude

  4. Oct 9

    OpenAI's always-on agents, 700+ math manuscripts & HackerRank's AI interviewer

    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."

    OpenAI's always-on agents, 700+ math manuscripts & HackerRank's AI interviewer

  5. Oct 2

    OpenAI cancels Astra release, Sonnet 5.5 & what Meta Muse means for work

    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."

    OpenAI cancels Astra release, Sonnet 5.5 & what Meta Muse means for work

  6. Sep 25

    New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab

    Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts It's been a wild week in AI, and on episode 126 of Mixture of Experts, host Tim Hwang and co-host David Zax talk to panelists Kaoutar El Maghraoui, Gabe Goodhart and Martin Keen to discuss what all these releases have in common: efficiency. We start with the model release pile-up. Anthropic shipped Claude Opus 5.5, and OpenAI launched GPT-6 Sol and Luna. Opus 5.5 is 20% cheaper than earlier Opus models, while GPT-6 Luna costs half what its predecessor did, at just 10 cents per million input tokens. We look at what a real price war means for developers building on these models and the companies racing to lower costs. Next, we look at a different idea altogether. TypeSafe AI has introduced "System One" models, starting with Jev, which give up the florid text generation in exchange for fast, structured decisions with calibrated probabilities. The pitch is frontier-level judgment on decision tasks, and responses in hundreds of milliseconds. We weigh the bold speed and cost claims against the company's own caveats about how its benchmarks were built. Finally, we leave the chat window entirely. NASA and IBM have released an open-source Lunar Foundation Model, free on Hugging Face and GitHub, and trained on roughly 2 million image tiles from the Lunar Reconnaissance Orbiter and other missions. Researchers can fine-tune it to map craters, spot young volcanic features and estimate where polar ice may be stable, proving models can do more than vibe code. All that and more on this week’s Mixture of Experts. 00:00 – Intro 1:05 - Anthropic and OpenAI update AI models 11:10 - TypeSafe AI unveils Jev AI model 29:29 - NASA and IBM build lunar AI model "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."

    New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab

  7. Sep 18

    Pacing the AI frontier, IBM Granite 4.2 & Meta’s Muse assistant

    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. We open with the biggest story in tech: Anthropic CEO Dario Amodei's call to pump the brakes on frontier AI development. In a widely discussed essay, Amodei argued the industry must slow the pace at which it improves AI model capabilities, warning that progress will still feel fast even so. But will independent evaluators and more enforcement really slow down the fastest moving companies? Then Abraham Daniels discusses the latest changes coming to IBM’s Granite 4.2 and its open enterprise-focused models in 3B, 8B, and 30B sizes built for reasoning, tool use, coding, and agentic workflows. Finally, we discuss Meta’s push into personal agents with Muse: a personal AI agent that runs on its own secure virtual machine, works across a person's daily apps, can make purchases on your behalf, and learns from conversations to get smarter the more you use it. Slowdown rhetoric, updates to Granite, and agents that shop for you. All that and more on this week’s Mixture of Experts. 00:00 – Intro 1:13 - Anthropic’s AI development dilemma 15:29 - IBM releases Granite 4.2 25:44 - Meta launches Muse agentic AI assistant "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."

    Pacing the AI frontier, IBM Granite 4.2 & Meta’s Muse assistant

  8. Sep 11

    OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWorm exploit & IBM’s US Open app

    Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts It's been a week that proves AI is moving faster than anyone can fully keep up with, unless you’ve got a good backhand. On episode 124 of Mixture of Experts, host Tim Hwang and co-host David Zax are joined by Bri Kopecki, Aaron Baughman, and Olivia Buzek to talk about new advances from OpenAI, new cybersecurity threats, and new tools for US Open fans from IBM. First, OpenAI introduced GPT-6 Astra as the company's most intelligent and aligned model yet, reaching state-of-the-art results across computer use, software engineering, cybersecurity, and science. Not missing a beat, the company dropped a second bit of news: an internal model produced a proof related to the 3-D Navier-Stokes equation, resolving one of mathematics' most famous unsolved problems. We dig into both the breakthrough and the conversation around the use of AI to solve these seemingly impossible problems. Then, IBM and the USTA unveiled new AI-powered fan features for the 2026 US Open, including a Serve Quality metric and personalized stats, designed to bring fans closer to the action than ever. Finally, we talk WeWorm, an AI-assisted exploit by California security firm built as a proof-of-concept self-spreading worm, capable of hijacking WeChat accounts before a victim even had a chance to answer a phone call. It's a sobering demonstration of what AI-assisted offensive security now looks like. All that and more on Mixture of Experts. 00:00 – Intro 0:54 - OpenAI talks Navier-Stokes and GPT-6 Astra 14:30 - IBM's AI analysis at the US Open 22:55 - What WeWorm means for exploits "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."

    OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWorm exploit & IBM’s US Open app
See All (134)

5
out of 5
12 Ratings

About

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. Visit the podcast page: https://www.ibm.com/think/podcasts/mixture-of-experts

Information

  • Creator
    IBM
  • Years Active
    2024 - 2026
  • Episodes
    134
  • Rating
    Clean
  • Copyright
    © ibm 2024
  • Show Website
    Mixture of Experts

You Might Also Like