Show Notes
Visit Mixture of Experts podcast page to get more AI content → https://ibm.biz/BdpEK5
Is OpenAI Codex a game-changer or just catching up? This week on Mixture of Experts, we analyze OpenAI's first-party coding agent app, Codex. Host Tim Hwang and panelists Abraham Daniels, Ambhi Ganesan and first-time guest Sandhya Iyer debate whether Codex gives OpenAI an edge in the crowded AI coding space—or if it's simply table stakes in the agent orchestration race. Next, we revisit Moltbot (now OpenClaw), which spun off Moltbook, the Reddit-style social network for AI agents. Are these agent simulations revealing insights or just fun experiments? Our experts weigh in on the security risks, hallucinations and more. Join us for a packed episode covering coding agents, agent economies and the evolving code assistant landscape.
00:00 – Introduction 01:09 – OpenAI Codex app launch 10:18 – MoltBot/OpenClaw: AI agent social networks
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/BdpEKN
More from Mixture of Experts
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?
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.
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts
Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts