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42 ZHANGJING · EPISODE COLLECTION

42 Zhangjing · Episode notes

Find the mechanisms, cases and conditions in each episode. Start with a topic, follow a guest, or read chronologically to see how perspectives change.

Dates refer to original episode releases. An episode may have multiple topics; roles and claims retain their historical context.

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Episode analyses

Showing 1–5 of 5
· 26:36 · ZH + EN

As models change, should applications preserve the problem or today's solution?

Guests / narrator:曲凯

Listen: 01:03–05:34. Qu recalls successive swings: uncertainty about model–application relationships in 2023, cooling and recovery in 2024, reasoning and agents sustaining expectations in 2025, and stronger models alongside colder application funding in his circles during 2026. He says this is the first time he has heard firms declare the category dead.

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· 31:34 · ZH + EN

From Information to Action, From Watching to Participating: Qu Kai’s Early-2025 Thesis

Guests / narrator:曲凯

The title sounds certain, but the argument contains many conditions. Applications might grow differently if models cross a usability threshold, if agents can deliver results and if organizations adapt to a new business model. An agent here is a model system that uses tools and advances tasks, rather than a name for every chat window.

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· 36:38 · ZH + EN

A company's exit does not settle demand: three separate scorecards for Character.AI

Guests / narrator:曲凯

Listen: 01:08–03:16. Qu first rejects equating the event with the failure of conversational companionship. In his description, model researchers and people continuing the product receive different arrangements. A technical team's decision to enter a large company does not establish that users no longer want character conversations.

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