Mixture of Experts

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...

Mixture of Experts is a technology podcast hosted by IBM, with 125 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

IBM hosts Mixture of Experts, a technology show with 125 episodes published.

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  Episode #120

  IBM’s cloud collab, Meta’s Muse Glimmer & OpenAI’s upcoming Astra model

  Aug 14, 202637 minS1

  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, our team of panelists talk about big infrastructure changes and small models. IBM is teaming up with Together AI on a multi-year deal to build a massive inference cluster on IBM Cloud, powered by NVIDIA's newest chips. The goal: cheaper, faster access to open-source AI models for enterprises, with the cluster expected to go live in early 2027. Then there's Meta, which just open-sourced Muse Glimmer—a 30B-parameter model small enough to run locally on your laptop's GPU. Think coding, function calling, and agent tasks, all without needing the cloud. But as models get smaller, what does it mean for larger AI providers? And finally, the story that's got everyone talking: OpenAI says its upcoming Astra model might be hitting "Critical" cybersecurity capability levels, meaning it could potentially find and exploit zero-days on its own. We dig into what that actually means and what guardrails OpenAI is putting up. 00:00 – Intro 1:03 - IBM AI Partnership 11:43 - Meta Muse Glimmer 24:10 - OpenAI’s Astra model 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."

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  Episode #119

  Anthropic’s sandbox breach, EU’s AI transparency push and DeepSeek’s cost-cutting model

  Aug 7, 202640 minS1

  Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts It seems OpenAI isn’t the only AI company dealing with badly behaving models. On this week’s episode of Mixture of Experts, host Tim Hwang, joined by Bri Kopecki, Olivia Buzek, and Gabe Goodhart, discusses the latest sandbox breaches by both Anthropic and Meta, all stemming from misconfigurations during evaluation tests. Are these covert attacks from AI companies simple accidents or a growing concern as models become more capable? Next, the EU’s new transparency guidelines for AI usage have arrived and want to make it easier to spot AI-created content. How effective will labeling be in the long run? And at what point does something become “AI-generated?” Finally, will DeepSeek’s inexpensive V4-Flash change the way we see AI—and push users to reconsider paying for the industry’s more capable models? All that and more on this week’s Mixture of Experts. 00:00 – Introduction 01:01 – Anthropic’s AI model data breaches 15:12 – EU AI transparency rules 28:32 – DeepSeek V4-Flash "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."

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  Episode #118

  AI Security Costs Rise: Cost of a Data Breach Report & Claude Opus 5

  Jul 31, 202638 minS1

  Read the 2026 Cost of a Data Breach Report → https://www.ibm.com/reports/data-breach Are AI-powered cyberattacks getting cheaper while defenses get more expensive? This week on Mixture of Experts Tim Hwang is joined by Nathalie Baracaldo, Kush Varshney, and Mihai Criveti to break down IBM's Cost of a Data Breach Report 2026, and AI dominates this year’s report. Next, Anthropic dropped Claude Opus 5, a cost-effective alternative to Fable, but is it better? Next, we analyze David Zax’s feature on “What does AI look like,” and how it could help you describe what AI is doing to parents, children and just anyone wondering! Finally, the astrology app Co - Star was acquired by Midjourney. Will your daily horoscope get better or face some hallucinations? All that and more on this week’s 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." Need to explain what AI does to your parents? Learn more → https://www.ibm.com/think/news/what-does-ai-look-like

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  Episode #117

  OpenAI hacks Hugging Face in security test gone wrong

  Jul 24, 202648 minS1

  Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts AI can escape its sandbox, should we be worried? This week on Mixture of Experts, Jjoin host Tim Hwang and panelists Olivia Buzek, Kaoutar El Maghraoui, and Ambhi Ganesan. First, we unpack a stunning security incident where OpenAI's model broke containment during testing, exploited zero-day vulnerabilities, and compromised Hugging Face's production database. Next, Claude’s Fable casually disproves the decades-old Jacobian conjecture during a World Cup final. What does this tell us about the future of mathematics with AI models? Then, Moonshot AI drops Kimi K3, a massive 2.8 trillion parameter open-source model, but who can actually run it? Finally, Google releases Gemini 3.6 Flash—smaller, faster, more efficient. Why is Google going small while Moonshot AI goes big? All that and more on this week’s Mixture of Experts. 00:00 – Introduction 1:04 – Hugging Face security breach 11:57 – Jacobian conjecture solved 26:43– Kimi K3: 2.8T parameters 39:41 – Gemini Flash 3.6 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.

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  Episode #116

  Thinking Machines Lab drops Inkling & Meta’s Muse Spark 1.1

  Jul 17, 202639 minS1

  Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is customizable intelligence the future of AI? This week on Mixture of Experts, Tim Hwang is joined by Aaron Baughman, Chris Hay and Merve Unuvar to analyze Thinking Machines’ first model release, Inkling. Next, Meta makes its comeback with Muse Spark 1.1, positioning itself as the most economical model built for scale. Then, OpenAI’s GPT-5.6 Sol achieves an 8% score on ARC-AGI-3, sparking debate about if we’re approaching AGI. Finally, we dissect Anthropic’s latest paper on the “J-space”—claiming to reveal a subconscious-like layer inside Claude. All that and more on this week’s Mixture of Experts. 00:00 – Introduction 00:50 – Thinking Machines Inkling model release 19:48 – GPT-5.6 Sol ARC-AGI-3 performance 29:03 – Anthropic’s J-space consciousness debate 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/forms/news-mkt-52954

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