Mixture of Experts

• Episode 45: Quantum leap, Model Context Protocol, CoreWeave IPO and an AI voice companion

  When can we expect quantum to reach consumer devices? In episode 45 of Mixture of Experts, host Tim Hwang is joined by special guest, Blake Johnson, to debrief the quantum noise in the news. Blake helps us understand the intersection between quantum and AI and how far we are from this technology. Then, veteran experts Chris Hay and Volkmar Uhlig hash out some other news in AI this week. We cover Anthropic’s Model Context Protocol, CoreWeave filing for an IPO and Sesame AI’s new voice companion. All that and more on today’s Mixture of Experts! 00:01 – Intro 01:06 – Quantum leap 20:08 -- Model Context Protocol 28:24 -- CoreWeave IPO 40:12 -- Sesame AI voice companion 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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• Bonus: OpenAI GPT-4.5: And the future of pre-training is...

  Is pre-training dead? In this bonus episode of Mixture of Experts, guest host Bryan Casey is joined by Kate Soule and Chris Hay. On Thursday, Sam Altman dropped GPT-4.5 just after we wrapped our weekly recording. We got a few of our veteran experts on the podcast to analyze OpenAI’s largest and “best” chat model yet. What’s the hype? Tune-in to this bonus episode to find out! 00:01 – Intro 00:25 – GPT-4.5 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 44: Claude 3.7 Sonnet, BeeAI agents, Granite 3.2, and emergent misalignment

  Granite 3.2 is officially here! In episode 44 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Maya Murad and Kaoutar El Maghraoui to debrief a few big AI announcements. Last week we covered small vision-language models (VLMs), and this week Granite 3.2 dropped with new VLMs, enhanced reasoning capabilities, and more! Kate takes us under the hood to understand the new features and how they were created. Next, Anthropic dropped a new intelligence model, Claude 3.7 Sonnet, and a new agentic coding tool, Claude Code. Why did Anthropic release these separately? Then, as we cannot have an episode without covering agents, Maya takes us through the new BeeAI agents! Finally, can fine tuning on a malicious task lead to much broader misalignment? Our experts analyze a new paper released on ‘Emergent misalignment.’ All that and more on this week's episode! 00:01 – Intro 00:41 – Claude 3.7 Sonnet 11:58 – BeeAI agents 20:11– Granite 3.2 29:23 – Emergent misalignment 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 43: Deep Research, OpenAI inference chip, small VLMs, and AI agent job posting

  What is all the hype around Deep Research? In episode 43 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Volkmar Uhlig and Shobhit Varshney. This week, we discuss reasoning model features coming out of companies like OpenAI’s Deep Research, Google Gemini, Perplexity, xAI’s Grok-3 and more! Next, OpenAI is rumored to release an inference chip, but how likely is this to be a success in the AI chip game? Then, we analyze the capabilities of small vision-language models (VLMs). Finally, a startup, Firecrawl, released a job posting in search of an AI agent. Is this the future for AI tools in the workforce? Tune-in to today’s Mixture of Experts to find out. 00:01 – Intro 00:35 – Deep Research 11:58 – OpenAI inference chip 22:17 – Small VLMs 32:31 – AI agent job posting 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 42: Paris AI Summit, Altman's "Three Observations," and Anthropic's Economic Index

  Live from Paris, Tim Hwang is at the AI Action Summit 2025. In episode 42 of Mixture of Experts, we welcome Anastasia Stasenko, CEO and Co-Founder of pleias along with our veteran experts Marina Danilevsky and Chris Hay. Last week, we touched on some potential conversations at the Paris AI Summit, this week we recap what actually happened. Is AI safety improving Globally? Next, for our paper of the week, we breakdown s1: Simple test-time scaling. Then, Sam Altman is back with another blog, “Three Observations,” what do our experts have to say? Finally, what can we learn from Anthropic’s Economic Index? All that and more on today’s Mixture of Experts. 00:01 – Intro 00:42 – Paris AI Summit 11:10 – s1: Simple test-time scaling 19:32 – Sam Altman’s “Three Observations” 30:41 – Anthropic’s Economic Index 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. Resources:Read the paper about s1: Simple test-time scaling: https://arxiv.org/abs/2501.19393Read Sam Altman's "Three Observations": https://blog.samaltman.com/three-observationsRead Anthropic's Economic Index: https://www.anthropic.com/economic-indexRead more about AGI: https://www.ibm.com/think/topics/artificial-general-intelligence

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