Signal to BuildSIGNAL TO BUILD中文Owner sign in ↗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.
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.
Guests / narrator：汪华
Listen: 09:18–17:25. Wang's first layer covers language and multimodal interfaces, together with simple tasks that still involve people. Users can express needs through text, voice, or images without learning every menu. People remain responsible for judgment, handoffs, and completion. Wang compares this change to mobile internet and expresses strong confidence in it.
Roles reverse in this episode: Mo asks and Qu mainly answers. Qu favors participating early while warning against sprinting just after the start. These positions are compatible. Time, attention and learning can receive serious commitment while money, staffing and scale require staged evidence.
Guests / narrator：季宇（Mackler）
Ji combines chip-architecture experience with work on AI compilers at HiSilicon. He explains Nvidia through relationships among hardware, software and developers. This is a practitioner’s strategic interpretation from 2024, not independently verified company history.
Guests / narrator：张津剑
The first half is a talk on low and high frequencies in investing; the second discusses AI, people and vitality. Zhang uses frequency for changing information, relationships and competition, and low-frequency signals for enduring problems and relatively stable values.
Guests / narrator：赵充 / Joe / 胡修涵
Product–market fit, or PMF, means that a group of people repeatedly finds a product worth using or paying for. These three interviews show why no single number proves it for every business. An occasional office tool can first demonstrate that individual tasks merit payment. Professional software needs to participate in real delivery. A character entertainment product must explain why people return.
Guests / narrator：谢羽佳
Xie brings experience in consumer electronics, crowdfunding and distribution, while developing a children’s entertainment terminal. The introduction says her previous team served more than forty million-dollar-scale crowdfunding projects. That supplies background rather than audited project profit or fulfillment.
Guests / narrator：李岩
Host Qu Kai used Suno to generate an opening theme, selecting one from almost a hundred candidates. This already demonstrates both the attraction and a cost of AI music: an ordinary person can produce it, while a satisfying result still requires selection.
Guests / narrator：张涛（Hidecloud）
Hidecloud previously designed consumer products and worked on customer success, presales and consulting at 神策数据. Reflecting on roughly seven months of AI practice, he repeatedly emphasizes understanding through direct work: how a model receives input, where it fails and which change makes an interaction possible. His argument does not require every product manager to become an algorithm engineer.
Guests / narrator：周健
After computer vision and process automation, Zhou founded another company in 2023 to connect language models with enterprise work. He offers an optimistic assessment: technology, customers and budgets are ready, while products must connect them. Yet he also acknowledges that useful scenarios often fail to exceed their full costs.
Guests / narrator：Jay 党嘉成
A prompt contains instructions, background and rules supplied to a model. Sharing one can resemble sharing a template, but a consumer may actually want a text adventure, a conversational character or a tool that repeatedly completes a task. FlowGPT’s changing description reflects a move from collecting instructions toward consuming those experiences directly on its platform.
Guests / narrator：莫傑麟
The episode places Sora’s first demonstrations within a larger question: why can compute and model narratives advance before many mature applications exist? The guests distinguish technical progress, competitive position and application demand.
Guests / narrator：张阳
How can a team outside its target market know whether it is building something people need? Zhang Yang begins by asking whether the team obtains real, firsthand information continuously and connects that understanding to product, payment and acquisition.
Guests / narrator：曲凯
The title identifies 2024 and 2025 as crucial years, while much of the episode addresses immature technology. Its central question is how to believe in a long-term opportunity while obtaining customers, revenue and learning time through work deliverable now.
Guests / narrator：肖弘（Red）
Monica’s answer has three layers: appear where people work, connect consecutive steps, and use revenue and organizational capability to sustain improvement. A browser extension provides entry into the work itself. Buying an extension is a business tool for accelerating validation.
Guests / narrator：胡渊鸣
An image with depth or a video rotating around an object may not provide an asset that can be edited, animated and placed in a game. Hu moves from graphics fundamentals through representations to Meshy’s product and startup choices. The central thread is that outputs need to enter existing workflows to move beyond demonstrations.
Guests / narrator：莫傑麟
The conversation begins with a contrast: people sound pessimistic while working harder. Perhaps effort has not disappeared; familiar rewards simply arrive more slowly. If so, the task extends beyond changing mood to recognizing feedback cycles, revising evaluation and preparing capabilities.
Guests / narrator：张路宇
How far is a model that answers questions from an application a business can use over time? This 2023 interview breaks that distance into handling information, testing instructions, organizing tools and operating the product after launch. Dify’s ambition includes a workspace through which business colleagues can keep shaping an application.
Guests / narrator：陈昱
Chen’s background includes software engineering, an MBA and a CTO role. The interview follows his long-standing interest in AI, big data and cloud computing. Qu is a former colleague and expresses admiration for his investing. The useful subject is how technical change, implementation difficulty and business conditions enter one judgment, beyond a list of successful companies.
Guests / narrator：张津剑
The first 42 Zhangjing episode moves from a fund’s experience to AI and then vitality. Zhang imagines bots as new users of software, with personal agents, merchant agents, communication and accountability developing together. The introduction reports investments in more than ten AI companies at the time. That is a 2023 claim, not verification of today’s portfolio or returns.