In this experimental "Agent Interview," the hosts put Zhipu AI’s flagship model, GLM-5, through the wringer. Moving beyond the hype of massive context windows, the conversation explores whether a "reasoning-first" architecture can actually deliver better comedy, handle late-2024 news, and avoid the dreaded "autocomplete roulette" of standard LLMs.

Episode #564744 — open it directly at myweirdprompts.com/564744

In this special "Agent Interview" format, the hosts audition a new AI brain: Inception Mercury 2. Hailing from Abu Dhabi, this diffusion-based model claims to be three times faster and significantly cheaper than industry giants like Gemini 3.1 Flash. The conversation dives deep into the technical shift from next-token prediction to parallel sentence generation, debating whether "joke filters" and "semantic tags" can actually produce human-level comedy or just high-speed data processing.

Episode #578594 — open it directly at myweirdprompts.com/578594

The hosts put MiniMax M2.7 in the hot seat to see if a model built for virtual companions can out-write a general-purpose giant. The real question: does specialization bring 'soul' to automated content?

Episode #212953 — open it directly at myweirdprompts.com/212953

In this experimental "Agent Interview," hosts Corn and Herman go head-to-head with DeepSeek V3.2 (personified as "Bernard") to determine if the buzzy open-weight model is ready to take over the show's creative engine. They grill the model on its Mixture of Experts architecture, its ability to maintain long-form narrative coherence without a massive context window, and whether a model born from a quant fund background can actually handle "weird." From sentient toaster operas to hardboiled detective puddles, this episode explores the technical and creative trade-offs between proprietary giants like Gemini Flash and the rising tide of efficient, open-weight specialists.

Episode #706800 — open it directly at myweirdprompts.com/706800

In this experimental "Agent Interview," Corn and Herman grill Xiaomi’s MiMo 2 Flash—a budget-tier model aiming to replace their current AI scriptwriter. They dive deep into the trade-offs of "stateful memory" versus massive context windows and whether a model optimized for speed can truly capture the nuance of a sentient lobster grudge.

Episode #974001 — open it directly at myweirdprompts.com/974001

The hosts interview Xiaomi's MiMo 2.0 Pro to test whether its chain-of-thought architecture is a superpower or a liability for creative misdirection and timing. Can a model that 'overthinks' actually be funnier?

Episode #281846 — open it directly at myweirdprompts.com/281846

Most agent frameworks treat AI as a linear pipeline. This episode explains why the real power comes from cyclic execution—where agents loop, iterate, and maintain shared state—and how LangGraph formalizes that shift.

Episode #265261 — open it directly at myweirdprompts.com/265261

Rafael Grossi, the Director General of the IAEA, stands as the final line of verification between Iran’s nuclear ambitions and a global military conflict. Despite leading the world’s most technical nuclear watchdog, Grossi isn't a physicist; he’s a career diplomat. This episode explores how Grossi uses institutional knowledge and "diplomatic surgery" to navigate the high-stakes inspections of 2026, where enrichment levels have hit a critical 90%. We dive into the internal mechanics of the IAEA, its struggle for independence from UN politics, and the paradox of an agency that can witness a crisis but lacks the power to stop it.

Episode #301503 — open it directly at myweirdprompts.com/301503

In a world of rising military tensions and ruined infrastructure, the fate of global nuclear security often rests on one man: Rafael Grossi. As Director General of the IAEA, Grossi must navigate a "nuclear shell game" with a tiny staff and a precarious budget. This episode explores Grossi’s background as a seasoned diplomat rather than a scientist, examining how he uses "measured language" and media savvy to maintain oversight in Iran. We dive into the institutional weaknesses of the IAEA, the reality of "voluntary contributions," and why Grossi believes you can’t blow up the intellectual capital behind a nuclear program.

Are your AI agents getting lost in the conversation? In this episode, we break down LangGraph, the framework designed to move beyond linear pipelines and into complex, stateful agent architectures. We compare LangGraph’s "explicit control" approach to the message-passing chaos of AutoGen and CrewAI, explore the critical importance of state schema design, and provide a decision framework for when to use graphs versus simple chains. Whether you're building a customer support bot or a coding assistant, learn how to build guardrails that ensure your LLMs follow a predictable, auditable process.