Mixture of Experts

IBM
  • 5.0 (12)
  • Technology
  • Updated 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. 6h ago

    IBM’s mainframe chip collab, NVIDIA’s Poolside deal & Ox Alpha’s reveal

    On episode 122 of Mixture of Experts, hosts Tim Hwang and Aili McConnon are joined by Gabe Goodhart, Ash Minhas, Skyler Speakman to talk hot chips, mystery models, and major money moves. We open with IBM's Hot Chips conference reveal of its dual-architecture mainframe processor built with Arm that lets IBM Z and LinuxONE systems run Arm-native Linux workloads right alongside z/OS. We break down what this means for enterprises balancing legacy reliability with the fast-moving Arm software ecosystem. Next, we talk about NVIDIA and its $6 billion deal with Poolside to license its "Model Factory" software and hire over 100 of its staff. We unpack why NVIDIA keeps using this licensing structure instead of straightforward acquisitions, and how it fits alongside its earlier deals. Finally, we dig into Ox Alpha, the anonymous "stealth model" that appeared on OpenRouter and was ultimately confirmed to be Z.ai’s open-source GLM-5.3-Flash, an efficient large language model built with sparse and linear attention techniques. But is the stealth launch the future of model releases? 00:00 – Intro 1:18 - NVIDIA’s $6 billion Poolside deal 13:10 - IBM’s new mainframe processor 24:30 - Ox Alpha, Z.ai’s newest model 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. 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."

    IBM’s mainframe chip collab, NVIDIA’s Poolside deal & Ox Alpha’s reveal

  2. Aug 21

    Stripe buys OpenRouter, Ramp’s AI Index & IBM’s OpenAI deal

    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, we talk partnerships, purchases, and predictions surrounding the AI industry's financial infrastructure. But first our panelists dive into IBM's newly announced collaboration with OpenAI, under which IBM Consulting will train and certify consultants on OpenAI's tools to bolster the company’s push toward enterprise deployments. Then we turn to Stripe's massive acquisition of AI gateway startup OpenRouter, a platform that routes token traffic across more models and providers. We unpack why Stripe sees token routing as the next frontier of "profitability infrastructure" and what it means for a payments company to become a broker of AI compute decisions. Finally, we take a peek at Ramp's August AI Index, which sketches a market where open-source models are growing in popularity, AI infrastructure is consolidating, and businesses discern what they're willing to pay for. 00:00 - Introduction 1:01 - IBM OpenAI partnership 11:46 - Stripe acquires OpenRouter 22:39 - Ramp’s August AI Index 33:15 - AI drafting legislation 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. 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."

    Stripe buys OpenRouter, Ramp’s AI Index & IBM’s OpenAI deal

  3. Aug 14

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

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

  4. Aug 7

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

    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. 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."

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

  5. Jul 31

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

    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

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

  6. Jul 24

    OpenAI hacks Hugging Face in security test gone wrong

    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.

    OpenAI hacks Hugging Face in security test gone wrong

  7. Jul 17

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

    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

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

  8. Jul 10

    Reddit cracks down on AI slop & the future of AI compute

    Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Can you trade GPU compute like oil futures? This week on Mixture of Experts, host Tim Hwang is joined by Mihai Criveti, Rynne Whitnah and Gabe Goodhart. First, we explore Reddit's aggressive new strategy to combat AI-generated spam and bots threatening platform authenticity. Next, we dive deep into Anthropic's Economic Index from June 2026. The report reveals how people actually use AI assistant Claude throughout their day, from homework help to weekend game development. Then, we analyze Orn's $33 million raise to create a liquid marketplace for buying and selling compute power. Is GPU compute the new commodity market? Finally, Anthropic enters the chip race with potential Samsung partnership. We debate whether frontier labs can successfully build their own hardware and reduce NVIDIA dependency. Listen to this week’s Mixture of Experts for more! 00:00 – Introduction 01:09 – Reddit's AI spam detection strategy 12:00 – Anthropic Economic Index: How people really use Claude 23:55 – Orn raises $33M for GPU compute marketplace 35:18 – Anthropic's chip ambitions with Samsung 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

    Reddit cracks down on AI slop & the future of AI compute
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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
    125
  • Rating
    Clean
  • Copyright
    © ibm 2024
  • Show Website
    Mixture of Experts

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