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2026-08-18 14 builders · 30 tweets · 1 podcasts · 0 blogs

🔥 热点话题

Sarah Guo 与 Elad Gil:万亿美元公司、Token 预算与监管捕获Sarah Guo & Elad Gil: Trillion-Dollar Companies, Token Budgets, and Regulatory Capture

The Takeaway:AI 浪潮是断续平衡,而非持续爆炸;未来 3-5 年不太可能再涌现大量万亿美元公司,真正稀缺的是能快速达到 500-1000 亿美元营收的市场。

No Priors 主持人 Sarah Guo 与投资人 Elad Gil 深入讨论了当前 AI 周期的现实。过去五年,OpenAI、Anthropic、SpaceX 等从接近零增长到万亿市值,属于历史罕见的“寒武纪大爆发”。Elad 指出,技术史更多是 punctuated equilibrium:社交、SaaS、云、加密货币都经历过浪潮后进入整合期。现在很多人把每个机器人、材料或能源创业都想象成下一个万亿公司,但速度与规模被严重混淆。物理世界公司受限于落地足迹,很难在三五年内完成那种跃迁。

两位同时观察到,优秀创始人出现“怯懦”趋势:因害怕与实验室正面竞争,转向硬件、美国动力主义或极度细分的利基市场。Elad 认为这是负面信号,许多市场实验室其实不会自然吃掉,产品与分发仍可硬刚。关于退出,他们建议董事会每六个月进行一次非情绪化讨论:公司是否还在能力提升、成本下降的正确一侧?如果无法跨越,就应认真考虑出售。时间是最大的机会成本——“你人生中最有生产力的年华正在被押上”。

Token 预算成为新权力法则。少数顶尖研究员驱动 80% 进展,compute 会优先分配给他们。企业从“人人用 AI”转向衡量 return on invested tokens。监管方面,他们以法国 70% 核电却事故极少、美国因 1970 年代安全游说几乎停建反应堆为例,警告过度安全导向会重演能源与生物技术领域的停滞。Elad 说:“历史上对大型行业,我们往往走得太远。科技之所以快速成功,正是因为监管较轻。”

“70% of France is still nuclear... Where are all the accidents... nothing. US is 18%, and we haven't built a reactor in forty years.”
The Takeaway: The AI wave is punctuated equilibrium, not continuous explosion. Multiple new trillion-dollar companies in the next 3-5 years are unlikely; the real scarcity is markets that can reach $50-100B revenue quickly.

No Priors hosts Sarah Guo and investor Elad Gil unpack the current AI cycle. The last five years saw OpenAI, Anthropic and SpaceX go from near-zero to trillion-dollar valuations—an unprecedented inflection. Elad frames technology history as punctuated equilibrium: social, SaaS, cloud and crypto each had waves followed by consolidation. Many now treat every robotics, materials or energy startup as the next trillion-dollar company, conflating market size with velocity. Physical-world companies face footprint constraints that make such leaps in three to five years improbable.

Both note a rising meekness among strong founders: fear of lab competition pushes them toward hardware, American Dynamism or ultra-niche applications. Elad sees this as negative—many markets the labs will not naturally consume, and product plus distribution still win. On exits they recommend a non-emotional board conversation every six months: is the company still on the right side of falling costs and rising capabilities? If not, seriously consider selling. Time is the largest opportunity cost—“your most productive years are on the line.”

Token budgets are the new power law. A few dozen researchers drive 80% of progress; compute is preferentially allocated to them. Companies are shifting from “everyone use AI” to measuring return on invested tokens. On regulation they cite France’s 70% nuclear power with virtually no accidents versus the U.S. safety lobby that halted reactor construction for decades, warning that safety-only focus repeats the stagnation seen in energy and biotech. Elad: “Historically, for big industries, we’ve gone too far. The reason tech has been so successful so quickly is because it’s been lightly regulated.”

“70% of France is still nuclear... Where are all the accidents... nothing. US is 18%, and we haven't built a reactor in forty years.”
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Nikunj Kothari:AI 里好像谁都没有护城河,除了风投Nikunj Kothari: Apparently Nobody in AI Has a Moat—Except the VCs

FPV Ventures 合伙人 Nikunj Kothari 发布了一条引发广泛讨论的推文:模型(OpenAI、Anthropic、xAI)、IDE(Cursor、Windsurf)、harness(Cognition、Factory)、应用构建器(Replit、Lovable)、垂直包装(Harvey、Abridge)、推理提供商、语音层、数据标注、基础设施、neocloud、生成媒体……全部“没有护城河”。最后一句是“except the venture firm”。

同一天他给出更建设性的热看法:品牌营销将成为未来十年最重要的差异化资产。不是一次性的 launch 视频,而是持续理解公司立场、市场 vibe,并每周呈现。当 agent 成为主要用户时,抓住注意力稀缺的人类需要长期一致的品牌表达。这类人才过去常被当作二级角色,未来应成为联合创始人或核心席位。
FPV Ventures partner Nikunj Kothari dropped a widely shared take: models (OpenAI, Anthropic, xAI), IDEs (Cursor, Windsurf), harnesses (Cognition, Factory), app builders (Replit, Lovable), vertical wrappers (Harvey, Abridge), inference providers, voice layers, data labelers, infrastructure, neoclouds, generative media—all have “no moat.” The punchline: “except the venture firm.”

The same day he offered a constructive hottest take: brand marketing will become the major differentiator and most prized asset over the next decade. Not one-off launch videos, but relentless weekly work on what the company stands for and the market’s vibe. When agents become the primary users, capturing attention-scarce humans requires consistent brand expression. These people have long been treated as tier-2; they should be hired as cofounders or given major seats at the table.
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Aaron Levie:数据是资产负债表上的资产Aaron Levie: Data Belongs on the Balance Sheet

Box CEO Aaron Levie 引用一笔数据出售交易指出:AI 对数据的饥渴已使几乎任何形式的信息都变得有价值。“在 AI 的世界里,信息实际上应该作为资产出现在资产负债表上。”公司如何管理和挖掘组织智能,将成为未来竞争力与价值创造的决定性因素。
Box CEO Aaron Levie, reacting to a data sale, argues that AI’s thirst for data makes information valuable in almost any form. “In a world of AI, information actually belongs as an asset on the balance sheet.” How companies manage and mine their organizational intelligence will be one of the deciding factors for competitiveness and value creation.
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🛠️ 开发者工具与技巧

Claude Code 与 Codex 持续打磨体验Claude Code and Codex Keep Shipping Quality-of-Life Wins

Anthropic 的 Claude Code 团队(Boris Cherny、Thariq)继续推进小而高频的体验优化。Thariq 演示了直接在 CC 里输入 /design <想要设计的东西> 即可开始设计,并更新观点:最近的程序生成艺术、视频编辑和 3D 游戏 demo 让他相信 LLM 编码模型在许多创意工作上已优于 diffusion 模型,因为代码更容易编辑、引导并导出到现有工具。

OpenAI 的 Thibault Sottiaux 一边用 Abba 风格的歌词调侃“Gimme Codex after midnight”,一边公开征集:Codex、API 或模型还有哪些 100% 触手可及却尚未做的明显功能?
Anthropic’s Claude Code team (Boris Cherny, Thariq) continues shipping small, high-frequency quality-of-life improvements. Thariq showed that typing /design <something> inside CC immediately starts a design session, and updated his view: recent procedural-art, video-editing and 3D-game demos have convinced him LLM coding models are better than diffusion models for much creative work because code is easier to edit, nudge and export into existing tools.

OpenAI’s Thibault Sottiaux posted an Abba-style lyric about “Gimme Codex after midnight” and openly asked the community: what obvious things should Codex, the API or the models simply do that are 100% within reach but still missing?
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Cursor Origin + Vercel:仓库托管与部署闭环Cursor Origin + Vercel: Repo Hosting and Deploy Loop

Vercel CEO Guillermo Rauch 宣布:现在可以把仓库托管在 Cursor Origin,并通过同样托管在 Vercel 上的 Cursor Origin 直接部署到 Vercel。“And unlike GitHub, it's online.” 这条推文获得了超过 3600 赞。
Vercel CEO Guillermo Rauch announced that you can now host repos in Cursor Origin and deploy to Vercel via Cursor Origin (itself hosted on Vercel). “And unlike GitHub, it's online.” The post quickly passed 3,600 likes.
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Josh Woodward:Gemini 体验升级路线图Josh Woodward: Gemini Experience Upgrade Roadmap

Google VP Josh Woodward 公开更新 Gemini 改进清单:1-2 周内测试重做的 Workspace 工具、3.7 Flash 在 tool calling 上的提升、新 Projects 设计已完成并进入实现、已支持 49 个连接器、多项后端与过触发 bug 修复已完成并 ramp。持续向社区征求“下一步最想改善什么”。
Google VP Josh Woodward published a progress list on Gemini: revamped Workspace tools testing in 1-2 weeks, 3.7 Flash tool-calling improvements, new Projects design finished and now implementing, 49 connectors supported, backend work done and frontend started, plus multiple over-triggering bug fixes already shipping. He continues asking the community what should be improved next.
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Madhu Guru:做好 Evals 的实用方法Madhu Guru: Practical Path to Good Evals

Meta AI 高级总监 Madhu Guru 分享:做好 evals 的最佳方式是拿一个你真正熟悉的工作流,把它的质量变成可测量的。研究真实用户轨迹、每一步好的回答长什么样、端到端结果如何;专门构造产品失败的轨迹(混乱 tool 响应、缺失上下文等);然后让 eval 可重复自动运行,并持续与线上流量模式对齐。
Meta AI Sr Director Madhu Guru shared a concrete method: the best way to get good at evals is to take a workflow you know deeply and make its quality measurable. Study real user traces, what good responses look like at each step and end-to-end; deliberately create traces of product failures (messy tool responses, missing context); then make the eval easy to run repeatedly and automatically, and keep it aligned with evolving live traffic.
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Garry Tan:开源 Personal AGI 起步包Garry Tan: Open-Source Personal AGI Starter

Y Combinator 总裁兼 CEO Garry Tan 发布了他在 Startup School 提到的开源 Personal AGI 工具:免费、MIT 许可,兼容现有 Claude Code 或 Codex 订阅。新建目录后粘贴一张图片即可自动搭建 agent 仓库,获得包含 70 个经他验证的 skills 的私有 GitHub 仓库以及 Karpathy 风格知识 wiki 的起点。
Y Combinator President & CEO Garry Tan released the open-source Personal AGI starter he mentioned at Startup School. It is free, MIT-licensed, and works with existing Claude Code or Codex subscriptions. Create a new directory, paste one image, and it sets up an agent repo containing 70 of his proven skills plus the beginnings of a Karpathy-style knowledge wiki.
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Swyx:Trajectory 在持续学习上的扎实进展Swyx: Trajectory’s Thoughtful Continual-Learning Work

Swyx 称赞 Trajectory 在持续学习赛道上的品味与执行:Ronak 详细讲解了他们如何处理 CL 中剩余的主要数据问题,包括为什么 GRPO 不够、必须转向 on-policy,以及随后修复的所有相关问题。他建议大家去看整个 track,内容很扎实。
Swyx praised Trajectory’s tasteful execution on ambitious continual-learning goals. Ronak gave a thoughtful overview of the remaining data problems in CL, why GRPO is insufficient, the move to on-policy methods, and the subsequent fixes required. Swyx recommended the rest of the track as especially strong.
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🌍 其他动态

Amjad Masad:不说 AI 却有 AI 增长率的团队 + 渗透测试必要性Amjad Masad: AI Growth Rates Without Saying “AI” + Why Pen-Testing Matters

Replit CEO Amjad Masad 指出有一支团队 pitch 里完全不提 “AI”,却拥有 AI 级别的增长率;如果不是深度拥抱 AI,他们本需要 10 倍的人。另一条推文强调:仅仅扫描代码漏洞不够,还必须用渗透测试真正去尝试攻破它们。
Replit CEO Amjad Masad highlighted a team whose pitch never mentions “AI” yet shows AI-level growth rates; without being deeply AI-pilled they would need 10× the headcount. In a separate post he stressed that scanning code for vulnerabilities is not enough—you must actively try to break the systems with penetration testing.
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Peter Yang:用 AI 做 YouTube 口播片头剪辑Peter Yang: AI Tools for YouTube Talking-Head Intros

Peter Yang 在寻找能通过对话(Codex 或其他 harness)完成完整剪辑的工具,用于 YouTube 口播片头的缩放、字幕动画、logo 和 b-roll。他正在测试 HyperFrames,并公开征求替代方案。
Peter Yang is looking for AI tools that let him fully edit YouTube talking-head intros (zooms, animated captions, logos, b-roll) simply by talking to Codex or another harness. He has been testing HyperFrames and asked for alternatives.
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