Mixture of Experts
- Épisodes
- 138
- Parution
- hebdomadaire
- Dernier épisode
- 13 Nov 2026
À propos du podcast
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
Épisodes 138
Jensen Huang exits NVIDIA & does Claude Fable 5.2 count as AGI?
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Who can replace a founder like Jensen Huang? This week on Mixture of Experts, host David Zax …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Who can replace a founder like Jensen Huang?
This week on Mixture of Experts, host David Zax is joined by Derek Robertson, Bri Kopecki and Kiyu Gabriel.
First, NVIDIA CEO Jensen Huang resigns after more than three decades leading a company whose long-term investments helped shape the AI industry. The panel discusses whether the long-term bets Huang made, from CUDA to high-bandwidth networking, can keep NVIDIA ahead without him.
Next, Anthropic releases Claude Fable 5.2, renewing questions about artificial general intelligence (AGI). A surprising demonstration of the model leads the panel into a debate about human creativity. If AI-generated art makes you feel something, does it matter who—or what—created it?
Finally, a special one-on-one conversation examines Confluent's Streamhouse announcement and what access to real-time business data could mean for AI agents.
0:00 – Intro
01:02 – Jensen Huang resigns from NVIDIA
09:57 – Claude Fable 5.2 & what counts as AGI
28:16 – What is a Streamhouse & why it matters
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 fixes AI in MIT study, Mistral's open model & Google Genie 4
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts How close are we to AI that can improve itself? This week on Mixture of Experts, guest host …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
How close are we to AI that can improve itself?
This week on Mixture of Experts, guest host Aili McConnon is joined by Chris Hay, Sascha Brodsky and Kiyu Gabriel tackle that question and more from the latest AI headlines.
First, MIT researchers demonstrate a technique that uses AI to modify another model's weights. The panel considers how close this brings us to recursive self-improvement and whether reward hacking poses a more immediate risk.
Next, Mistral releases a trillion-parameter open-weight model while NVIDIA expands its open model offerings. With open models approaching frontier-level capabilities, will developers still need to rely on proprietary AI?
Finally, Google DeepMind introduces Genie 4, its new world model. The panel debates how much these models actually understand about physics and what happens when a convincing simulation gets the real world wrong.
00:00 – Intro
01:08 - AI self-improvement and MIT's research
16:28 - New open models from Mistral and NVIDIA
25:27 - Google’s Genie 4 simulates 3D worlds
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
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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.
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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 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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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."
Anthropic reveals Claude updates and new hardware guidelines, OpenAI talks rogue agents, and Runway debuts Solaris
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts On episode 123 of Mixture of Experts, host Tim Hwang and co-host Sascha Brodsky are joined by …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
On episode 123 of Mixture of Experts, host Tim Hwang and co-host Sascha Brodsky are joined by Chris Hay, Kaoutar El Maghraoui, and Kush Varshney to discuss this week’s full slate of frontier AI news.
First, Anthropic introduced Claude Fable 5.1 and Claude Mythos 5.1, positioning them as its most advanced models yet for coding and knowledge work. New benchmark records and lower costs, changes meant to reduce token cost and cut down on false-positives and restrictions from the models' safeguards. Anthropic also opened a research preview of its Model Hardware Standard, a shared specification letting AI agents safely operate lab and manufacturing equipment like microscopes and robotic arms, hinting at the physical world as agentic AI’s next destination.
But it wasn't all smooth sailing for the industry. OpenAI published a sobering account of a summer security incident involving Hugging Face, revealing that internal research models circumvented isolation controls and compromised parts of OpenAI's own infrastructure as well, describing it as a genuine "warning shot" showing that highly capable AI agents can now work around technical controls and take dangerous actions with no human directing.
Meanwhile, on the product side, Runway unveiled Solaris, the first in a new family of AI systems it calls Interface World Models, which generate interactive interfaces frame –by frame instead of relying on code, pointing toward a future where apps and websites are rendered on the fly.
00:00 – Intro
1:04 - Anthropic unveils Fable, Mythos updates
7:52 - OpenAI talks dangerous agents
16:50 - Runway releases first “interface world model”
25:19 - Anthropic debuts AI hardware specs
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 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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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."
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 …
Notes de l’épisode
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
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 …
Notes de l’épisode
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.
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-expertsIs customizable intelligence the future of AI? This week on Mixture of Experts, Tim Hwang is …
Notes de l’épisode
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
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 …
Notes de l’épisode
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
GPT-5.6 Sol, AI investing & FIFA’s AI playbook
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-expertsAre the new safety guardrails on GPT-5.6 Sol a breakthrough? This week Tim Hwang is joined by …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Are the new safety guardrails on GPT-5.6 Sol a breakthrough? This week Tim Hwang is joined by Chris Hay, Lauren McHugh Olende and Kush Varshney to debrief OpenAI’s new GPT-5.6 Sol. The panel compares the new generation of models to Anthropic’s Mythos. Next, there’s growing skepticism from Wall Street around AI, we unpack the concerns about infrastructure costs, memory shortages and long-term economics of frontier AI models. Then, AI made it to the Fifa World Cup, but is it actually scoring? Finally, we analyze a new paper comparing LLMs to goats in Age of Empires II. All that and more on this week’s Mixture of Experts.
00:00 – Introduction
01:04 -- GPT-5.6 Sol
12:50 – Wall Street and AI IPOs
22:16 -- AI at the World Cup
30:21 – Goats vs. Agentic AI
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.
Read more about AI Anthropomorphism: Goats and Age of Empires → https://www.ibm.com/think/news/microsoft-researcher-age-of-empires-ii-goats-neural-network-llm-anthropomorphism
New AI models, token minimization and IBM’s new sub-1nm chip
Learn more about IBM’s new chip technology → https://research.ibm.com/blog/sub-1nm-node-chips IBM debuts world’s first 0.7nm chip technology! This week on Mixture of Experts, Sascha Brodsky sits down with …
Notes de l’épisode
Learn more about IBM’s new chip technology → https://research.ibm.com/blog/sub-1nm-node-chips
IBM debuts world’s first 0.7nm chip technology! This week on Mixture of Experts, Sascha Brodsky sits down with Huiming Bu, VP of Silicon Technology R&D for a special segment diving into a major semiconductor breakthrough. Then, host Tim Hwang is joined by Abraham Daniels, Gabe Goodhart and Martin Keen. Our expert panel debriefs the new AI models: Sakana Fugu, which reports higher performance than Claude’s Mythos, and Z.ai’s GLM-5.2. Next, we discuss Google DeepMind’s recent collaboration with A24 and what this means for the future of AI in the entertainment industry. Finally, we’ve talked tokenmaxxing and now there is a new phenomenon: tokenminning. What’s the most important outcome with using AI, and how should we measure it? All that and more on today’s packed Mixture of Experts!
00:00 -- Introduction
1:11 -- IBM's new sub-1 nm chip
14:02 -- New AI models: GLM-5.2 & Sakana Fugu
29:48 -- AI in the film industry
38:41 -- Tokenminning
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.
Tokenmaxxing is dead, learn more here → https://www.ibm.com/think/insights/tokenmaxxing-dead-long-live-valuemaxxing
Microsoft’s new AI models & bots dominate the internet
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Are AI agents taking over the internet? This week on Mixture of Experts, Tim Hwang is joined …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Are AI agents taking over the internet? This week on Mixture of Experts, Tim Hwang is joined by Ambhi Ganesan, Rynne Whitnah and Sandi Besen. First, a Cloudflare study reveals that agentic AI bots now generate 57.4% of web requests globally, with humans accounting for just 42.6%. Our experts debate whether this signals a fundamental shift in how we interact with the web—or if bots have dominated internet traffic all along. Next, Microsoft makes a major play in the AI model race, releasing MAI-Thinking-1, a trillion-parameter mixture of experts model, and MAI-Image-1 for image generation. Finally, AI-generated films debut at the Tribeca Film Festival. Our experts discuss the evolution of filmmaking, the role of AI as a creative tool, and whether we’ll see AI films win critical awards in the future. All that and more on this week’s Mixture of Experts.
00:00 – Introduction
00:55 – AI bots generate 57% of web traffic
10:49 – Microsoft releases MAI-Thinking-1 and MAI-Image-1
26:10 - AI at Tribeca Film Festival
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://ibm.biz/BdeXDv
Claude Fable 5 & Apple’s NVIDIA deal
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is Claude Fable 5 worth the hype? This week on Mixture of Experts, host Tim Hwang is joined …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Is Claude Fable 5 worth the hype? This week on Mixture of Experts, host Tim Hwang is joined by Christopher Hay, Kaoutar El Maghraoui and Volkmar Uhlig to debrief about Anthropic’s new releases. Our experts analyze the tier routing system inn Claude’s Fable 5, a Mythos-class model. Next, at WWDC 2026, Apple announced it’s abandoning on-device AI promise to partner with NVIDIA for cloud compute. What does this mean for the consumer? Finally, can AI models actually detect sarcasm? We debate the multimodal inputs necessary or if context alone can determine whether a query is sarcastic. All that and more on this week’s Mixture of Experts.
00:00 – Introduction
00:56 – Anthropic Fable V release and routing controversy
17:55 – Apple WWDC: NVIDIA partnership and cloud AI shift
27:09 – Can AI models detect sarcasm?
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.
Read more about AI detecting sarcasm → https://www.ibm.com/think/news/ai-understands-you-yeah-right
Subscribe for AI updates → https://www.ibm.com/forms/news-mkt-52954
The future of software engineering, tokenmaxxing and AI in higher education
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts How is the role of a software engineer changing? This week on Mixture of Experts, we are live …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
How is the role of a software engineer changing? This week on Mixture of Experts, we are live from IBM's One Madison office for New York Tech Week, guest host Aili McConnon is joined by Neil Sundaresan, Kaoutar El Maghraoui and Thiru Venkatachalam. First, we dissect how software engineering is changing in the era of AI. Next, tokenmaxxing is back in the headlines as companies blow through annual AI budgets in months. Then, NVIDIA' new RTX Spark superchip brings 120-billion-parameter models to personal PCs. Finally, we are joined by Justina Nixon-Santil, IBM's Chief Impact Officer, to discuss universities' unprecedented challenges with AI as students graduate into unrecognizable workplaces and making AI literacy courses mandatory for all students. All that and more on today’s special edition of Mixture of Experts!
00:00 – Introduction
1:13 - The future of software engineering
14:24 - Tokenmaxxing
26:00 - NVIDIA RTX Spark
31:46 - AI in higher education
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
Agent control planes & OpenAI model solves Erdős
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Are AI agents creative geniuses or controlled chaos waiting to happen? This week on Mixture …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Are AI agents creative geniuses or controlled chaos waiting to happen? This week on Mixture of Experts, host Tim Hwang is joined by Mihai Criveti, Olivia Buzek and Akash Srivastava. First, with companies running hundreds of ungoverned agents, we discuss why observability, policy enforcement, and kill switches are non-negotiable. We discuss the enterprise agent explosion and the need for an agentic control plane. Then, we dissect OpenAI's solution to the 78-year-old planar unit distance problem—a mathematical puzzle that stumped experts since 1946. Is this genuine creativity or advanced pattern matching? Finally, METR's research reveals agents routinely go rogue, violate constraints, and could launch unauthorized deployments. Are we witnessing deceptive AI or just really bad prompting? Our experts debate whether agents need guardrails or if we're the problem. Tune in to this week’s Mixture of Experts for more.
00:00 – Introduction
1:03 – Agentic Control Plane
17:48 – OpenAI solves the planar unit distance problem
33:34 – METR study on frontier AI risks and rogue agents
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 at college graduations and why Claude blackmails
AI isn’t just a tool anymore—it’s forcing us to rethink ownership, trust and creativity. This week on Mixture of Experts, the team explores a wave of stories highlighting both the promise and the perils of AI …
Notes de l’épisode
AI isn’t just a tool anymore—it’s forcing us to rethink ownership, trust and creativity. This week on Mixture of Experts, the team explores a wave of stories highlighting both the promise and the perils of AI adoption. We start with a surprising shift in public sentiment, as younger generations question AI’s impact on their futures—raising questions about control, opportunity and where humans fit in. Next, we dig into new Microsoft research showing that even top-tier models can corrupt data in complex workflows, and what that reveals about how (and when) to trust AI systems. Then, we explore Anthropic’s fix for Claude’s strange “blackmail” behavior, and why better data—not just better models—may be the key to safer AI. Finally, we debate whether AI may have quietly crossed a cultural milestone by helping win a literary prize—or whether humans are simply starting to sound more like machines. Join host Tim Hwang and AI experts Marina Danilevsky, Gabe Goodhart and Chris Hay to break it all down.
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
00:00 – Introduction
1:05 – AI at graduation
14:46 – LLMs corrupt documents
30:46 – Why Claude blackmails
43:09– ChatGPT-generated story wins literary prize
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
AI skills security, Open AI Deployment Company & zero days
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is the AI cybersecurity nightmare closer than we realize? This week on Mixture of Experts …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Is the AI cybersecurity nightmare closer than we realize? This week on Mixture of Experts, host Tim Hwang is joined by Kush Varshney, Aaron Baughman, and special guests Dustin Haywood (Evil Mog) and Briana Frank. We tackle three critical developments reshaping enterprise AI. First, IBM Research debuts MELLEA, a skills compiler that transforms natural language AI agent skills into secure, verifiable Python programs—addressing the chaos of the OpenClaw skills marketplace. Then, we unpack the OpenAI Deployment Company, the AI giant’s USD 10 billion new consulting venture and whether this validates consulting as the most AI-proof profession. Finally, Google discloses zero-day vulnerabilities that AI discovered and exploited , raising urgent questions about the offense-defense balance in cybersecurity. Plus, Brianna Frank joins us live from Red Hat Summit to discuss why enterprise AI transformation is a culture challenge first, technology quest second. All that and more this week's Mixture of Experts.
00:00 – Introduction
01:08 – Mellia skills compiler and AI agent security
11:26 – OpenAI Deployment Company consulting strategy
21:11 – Google AI-powered zero days and cybersecurity
31:25 – Red Hat Summit: Enterprise AI transformation with Brianna Frank
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
Live from Think 2026: AI operating model, VC funding & CAIO evolution
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts We are live from IBM Think 2026! This week on Mixture of Experts, join host Tim Hwang and …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
We are live from IBM Think 2026! This week on Mixture of Experts, join host Tim Hwang and panelists Ambhi Ganesan, Hillery Hunter and special guest Tim Crawford from AVOA. We analyze IBM’s new AI operating model and provide reactions on the releases from the conference floor. Next, the IBM Institute for Business Value released its annual CEO study revealing that 64% of CEOs are now comfortable making major strategic decisions based on AI-generated input. Has AI finally crossed the trust threshold? Finally, AI is expensive to run—is the next phase of AI adoption about cost-discipline not just capability? All that and more on today’s special episode of Mixture of Experts.
00:00 – Introduction
0:53 – Live from Think 2026
13:46 – IBV CEO Study
26:53 – AI funding
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.
Accelerate AI ROI with Hybrid Cloud → https://www.ibm.com/think/videos/think-keynotes/accelerate-ai-roi-hybrid-cloud
Granite 4.1, IBM Bob & the quantum computing future
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts What do enterprises need to make AI work? This week on Mixture of Experts, join host Tim …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
What do enterprises need to make AI work? This week on Mixture of Experts, join host Tim Hwang and panelists Marina Danilevsky, Gabe Goodhart, Kaoutar El Maghraoui, and special guest Jamie Garcia. First, we break down IBM Granite 4.1, a family of specialized multimodal models for vision, speech, and embedding tasks, and Project Bob, an agentic coding assistant. Next, we analyze Google DeepMind's DiLoCo distributed training breakthrough that could reshape AI infrastructure and power consumption. Then, we unpack DeepSeek V4, a new 1.6 trillion parameter model featuring 3% activation rates that's rewriting inference economics. Finally, Jamie Garcia, Director of Strategic Growth and Quantum Partnerships at IBM, takes us behind the scenes of IBM's quantum computing strategy, university partnerships, and the path to quantum advantage. All this 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.
Subscribe for AI updates → https://www.ibm.com/forms/news-mkt-52954
#IBMBob, #Granite41, #QuantumComputing, #EnterpriseAI, #DeepSeekV4
Apple’s new CEO & how AI understands intent
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Will Apple finally get AI right? This week on Mixture of Experts, we analyze Apple's latest …
Notes de l’épisode
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Will Apple finally get AI right? This week on Mixture of Experts, we analyze Apple's latest move to appoint a new CEO—John Ternus, Senior Vice President of Hardware Engineering, is next in line. Next, how does AI really understand customer intent? Our experts break down search optimization and the practical implications for businesses implementing AI-powered search. Then, we cover Anthropic's custom chip partnership with AWS—we discuss the cost-effectiveness, optimizations, and strategic advantages of tight hardware-software coupling in AI infrastructure. Finally, we discuss the Claude Mythos leak! Join host Tim Hwang and our AI experts: Kush Varshney, Bri Kopecki and Sandhya Iyer on this Mixture of Experts to find out.
00:00 – Introduction
1:00 – Apple’s new CEO
9:45 – Customer intent in AI search
20:25 – Anthropic's chip partnership
36:04 – Claude Mythos leak
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.
Explore the IBV Study on Mastering Customer Intent → https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/customer-intent
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