All-In Podcast E233 — Fable 5 Backlash, Nationalizing AI, Inflation, California Elections

📅 2026-06-13 · 🎙️ All-In Podcast · ⏱️ 1h41m55s · YouTube

Hosts
Chamath · Jason · Sacks · Friedberg
Upload Date
~2026-06-12 (Fable 5 刚发布)
Duration
101:55 (1h41m55s)
Topics
anthropic fable-5 nationalizing-ai inflation california-elections
诚实标 (跟 GCP-1.1.0 4 大纠错同精神):
  1. 4 host 立场已知偏右 + pro-market — Sacks 是 Trump 顾问 + Chamath 反垄断,Nationalizing AI 辩论可能 over-claim 政府失败
  2. 数字未 cross-check — 5 月 CPI / 失业率 / 加州 voter 数字来自 host 实时讨论,需 BLS / 加州 Secretary of State 官方核
  3. 政策细节 30% 推测 — SB 1407 完整条款 200+ 页,本集只覆盖争议 5 大点,完整版本需查加州立法网站
  4. 商业推测 = Patrick 视角 — "AI Agent 12-18 月窗口" 是我映射,不是 host 结论

📌 Key Takeaways (10 条)

  1. Fable 5 降级机制引爆开发社区: Anthropic 3 周前发布 Fable,但本周 Daario 博客揭露 2 个未披露机制 — ①检测 frontier research 默默降级 + 不告知 ②所有 prompt 保留 30 天。两个 buried 在 319 页 ToS。
  2. Fable 5 价格 2x Opus 4.8: 单 token 贵 2x,但 Anthropic 主张"省 token = 总账便宜",无真实 workload benchmark。Friedberg 算:省 50% token 才打平,省 25% 就是贵 50%。
  3. Mythos 4 月未发布的余震: CEO Nikesh Arora (Palo Alto Networks) 4 月公开说 Mythos "the real deal" + 帮他们补漏洞。Fable 5 是 Mythos 的"消音版"。Anthropic 选了不出 = 主动让出 frontier 竞争位给 OpenAI / Google。
  4. Nationalizing AI 3 大理由 (Sacks + Friedberg): ①能源(数据中心 7% 美国电网 vs 中国 50% 仍建煤电) ②安全(生物武器 / 黑客 capability 锁国营) ③中国竞争。
  5. 反对 Nationalize 的 2 个核心理由 (Chamath + Jason): ①私营创新速度 10x 国营 ②政府没能力做前沿 R&D,会重复 Solyndra / Concorde / F-35 失败模式。
  6. 5 月 CPI 3.0% / 核心 3.2% / Core services 4.5%: Chamath 解读"这不是 transitory,服务通胀粘性极强"。Friedberg 同意 "Fed 必须 hold 6 个月,降息 25bps 都重燃 sticky"。
  7. 加州 SB 1407 实时选民登记: ①16 岁 auto-register ②same-day ③Election Day 投后还能改。Sacks 反对,称"选民身份变移动 target,合法选民被淹没"。
  8. 加州 DMV 已能签发 voter registration: Friedberg 报"上周有人拿伪造 DMV 文件登记成功"。Sacks 现场 7 分钟说"1600 万未确认地址 + DMV 漏洞 = 2028 摇摆州被偷"。
  9. 4 host 共识: 本集是 "Anthropic 失误 + AI 政策 + 经济 + 选举 4 件大事都在本周,perfect storm"。
  10. 3 个 Patrick 视角 actionable: ①评估 Hermes 是否被悄悄降级 ②AI Agent 商业化 12-18 月窗口因政策加速 / 减速 ③投资策略避开监管重灾区。

🎯 Section 1: Fable 5 模型争议 (0:00-30:00)

Daario 博客核心问题(播客触发的 3 周前事件):

维度Anthropic 公开立场Daario 揭露真相
降级机制"无可奉告"检测 frontier research → 默默降级 + 不告知
数据保留"30 天 for safety"30 天全部 prompt + 比 OpenAI 严
定价2x Opus 4.8官方称"省 token = 总账便宜",无 benchmark
4 月 Mythos没发布,理由"hack capability"选了"不出",让出 frontier 竞争位

Chamath 怒斥 (22:00):"这是 2024 年 Sam Altman 被赶下台同种 trust 问题——用户以为你中立,实际你在悄悄做 trade-off 没告知。"

Friedberg 算账 (25:00):"如果真省 50% token,价格打平;如果只省 25%,你贵 50%。Anthropic 还在用 'actually cheaper' 这套话术,但无 evidence。"

Sacks 关键观察 (28:00):"30 天保留 + 降级机制 = 表面 'safety',实际是 2 重反竞争武器: ①用你的 prompt 训练下一代模型 ②对你竞争对手友好,对你 frontier 研究隐形降级。"

🏛️ Section 2: Nationalizing AI 辩论 (30:00-50:00)

Sacks 主张 Nationalize 三大理由:

  1. 能源: 数据中心 7% 美国电网 vs 中国 50% 仍建煤电。Anthropic / OpenAI 都跑美国电网,美国 AI 输给中国是 0 悬念。
  2. 安全: 生物武器 / 黑客 capability 锁在国营实验室,Anthropic 4 月不发布 Mythos 已证明"私营会为上市估值妥协"。
  3. 地缘竞争: 不能让 Anthropic 股东结构(机构 80% / 个人 20%)的"赚钱压力"压过国家安全。

Chamath 反驳 (36:00):"F-35 项目超支 1.7T 美元 20 年没飞过;Solyndra 5 亿补贴破产;Concorde 14 年退役。政府做 R&D 失败率 100%,私营失败率 50% 但成功回报 10x。"

Friedberg 调和方案 (41:00):"不是 Nationalize,是 'Strategic Equity Stake' — 沙特 PIF 模式,国家持有 20-30% 优先股,无投票权,但 ①分享 AI 红利 ②获 board observer ③确保国安全 access。Anthropic 估值 1.5T 这种级别,美国政府拿 10% 就是 150B 收入。"

Jason 现场:"我不反对 Strategic Equity,但不能给单一政府独家,要 G7 联合(美 + 英 + 日 + 德 + 加拿大 + 澳 + 韩国)。"

💰 Section 3: 通胀 + 利率 + 经济 (50:00-1:10:00)

5 月关键数据:

指标数值对比 4 月解读
Headline CPI3.0%-0.1pp (3.1% → 3.0%)略好但非决定性
Core CPI3.2%持平粘性
Core services ex-shelter4.5%持续 18 月最粘性,Fed 真正看的数字
Shelter5.4% YoY-0.4pp (5.8% → 5.4%)真实房价 +1.2% YoY, rent stickier
Wages4.7% YoY↑Real wages 终于 positive +1.5%

Chamath 解读:

Friedberg 量化:

Sacks 一句:"我所有 portfolio 已经从 7 大移到 4 中(Quality + Low Leverage + FCF > 5% + Moat)。"

🗳️ Section 4: 加州选举改革 (1:10:00-1:42:00)

Newsom SB 1407 关键条款:

  1. 16 岁起 auto-register
  2. Same-day registration
  3. Election Day 投后还能改 (这是争议点)
  4. DMV / 政府机构自动推送 voter registration
  5. 跨州 voter file 共享

Sacks 反对 5 大点:

  1. 跨州 voter file 共享 = 一人 5 州投票(没技术阻止)
  2. DMV 漏洞: 上周有人拿伪造 DMV 文件登记成功(Friedberg 报)
  3. 16 岁 auto-register: 不成熟 + 被学校强迫
  4. Same-day + Election Day 改票: ballot integrity 崩溃
  5. 1600 万加州 voter rolls 包含未确认地址

Chamath 中间 (1:32:00):"我同意需要改革,但 SB 1407 是 overreach。Pragmatic solution: ①全联邦 ID 验证 ②多州 voter file 共享 ③删 1600 万未确认。这些是 80% solution,Newsom 选了 100% solution = 失败。"

Jason 现场:"我加 1 点:加州 DMV 已经在发 voter registration,这就是 federal Motor Voter Act 漏洞。2028 加州 11 张 EV + Senate = 摇摆,1 个 DMV 漏洞 = 选举被偷。"

💬 Key Quotes (8 条带时间戳)

0:18:30Chamath: "Anthropic 选了不出 Mythos = 主动让出 frontier 竞争位给 OpenAI / Google。这是 4 月以来最大的 AI 战略失误,比 Meta Llama 4 还大。"
0:28:00Sacks: "30 天保留 + 降级 = 2 重反竞争武器: ①用你 prompt 训下一代 ②对 frontier research 隐形降级。"
0:36:00Chamath: "政府做 R&D 失败率 100%,私营失败率 50% 但成功回报 10x。F-35 1.7T 20 年没飞过。"
0:41:00Friedberg: "沙特 PIF 模式是国家 Strategic Equity,不是 Nationalize。20-30% 优先股 + 无投票权 + 拿 AI 红利 + 获 board observer。"
0:53:00Chamath: "Core services 4.5% 持续 18 个月,工资 4.7%。这不是 transitory,是 structural。"
1:02:00Friedberg: "如果 Fed hold 到 2025 Q1,SPX 真实价值 5400-5600,不是现在 5800-6000。"
1:18:00Sacks: "1600 万加州 voter rolls 包含未确认地址 + DMV 漏洞 = 2028 摇摆州被偷。"
1:32:00Chamath: "Newsom 选了 100% solution = 失败。Pragmatic 80% solution: 联邦 ID 验证 + 多州共享 + 删未确认。"

🔮 Patrick 视角实战映射 (5 段)

1. Fable 5 降级机制 → Hermes "安静失败" 风险

映射: Fable 检测 frontier research → 默默降级 = Hermes 跑 production 时是否被某种 rate limit / quality degradation 隐形影响?

Patrick 自查:

写 1 个 ~/.hermes/scripts/hermes_health_audit.py 拉 30 天 cron + API log → 出 6 维健康度报告

关联: skill devops/hermes-publish-cron v1.6+ 已含 4 重健康保护,这次 1 段扩

2. Nationalizing AI → AI Agent 商业化 12-18 月窗口

映射: Sacks + Friedberg 提的"Strategic Equity Stake" = Anthropic 估值 1.5T,美国政府拿 10% = 150B 收入。如果真发生:

Patrick 判断: 15-20% 概率发生 Strategic Equity(在 2026 Q3-Q4)。如果发生:

3. 通胀讨论 → NQ-100 5 因子 Regime Filter 调整

映射: Fed hold 高利率到 2025 Q1 = Regime 持续 BULL → BEAR 切换的 catalyst 还在。当前 NQ-100 5 因子 + Regime Filter(Plan E 60%)是 BULL 优化,BEAR 模式权重(margin+roe+value 80%)有,但未实测。

跑 1 次 "Fed Hold 12 月后" 模拟,看 Plan E BEAR Regime 实际跑出多少 alpha

关联: skill productivity/nq100-quant-backtest v1.2.3+ 已有 Regime Filter 算法,扩 1 段 "Fed Hold 模拟"

4. 加州选举 → 投资策略:避开监管重灾区

映射: 加州 SB 1407 + DMV 漏洞 + 1600 万未确认 voter = 2028 加州 11 张 EV + Senate 摇摆。Sacks 已从 7 大移到 4 中(Quality + Low Leverage + FCF > 5% + Moat)。

Patrick 当前组合(NQ-100 Plan E 60%):

在 Plan E 季度再平衡表加 1 段 "监管风险权重"(10-15% 仓位避开 FAANG 中加州高暴露的)

5. All-In 商业模式 → 跟 Nick Saraev 4 玩家洗牌对比

维度All-In 4 hostNick Saraev
商业模式影响力 + SPAC / 投资 / 基金卖 AI 实施 + 课程
立场偏颇Pro-market / Anti-regulationPro-Anthropic / 推 Managed Agents
Patrick 借鉴"VC 怎么看政策" / "AI 经济宏观""AI 实施细节" / "Agent 经济样板"
互补点4 玩家洗牌 → 12-18 月4 玩家如何抢用户 → 6-12 月
把 2 个 source 都加进 NotebookLM,做 cross-source AI Agent 经济学调研

关联: skill media/notebooklm-integration

❓ Discussion Questions

  1. Fable 5 降级机制: Anthropic 这种"未披露的 quality degradation"在 AI 行业监管下,会不会触发 FTC 调查? 概率多大?
  2. Nationalize vs Strategic Equity: 沙特 PIF 模式在美国的政治可行性多高? 两党支持度差多少? 2026 中期选举后变数?
  3. Core services 4.5%: 跟 70 年代 wage-price spiral 对比,这次结构差别在哪(全球化 / 工会 / 自动化)?
  4. 加州选举 SB 1407: 跨州 voter file 共享的 technical 障碍有哪些? 区块链 / 联邦 ID / 多 factor 哪个最可行?
  5. AI Agent 商业化 12-18 月窗口: Anthropic 出 Managed Agents + Fable 5 商业化,会不会 1 季度内蚕食 50% Lindy / Artisan 客户?

📋 完整转录 (24 段采样)

▼ 展开 24 段转录采样(每段 ~4 min)

[0:00] All right, everybody. Welcome back to the number one podcast in the world. It's your favorite podcast. It's your podcasters's favorite podcast. It's the podcast that everybody likes to rip off for 50 episodes and then they quit. But the All-In podcast is not quitting. We're doubling down with the original quartet. Everybody's here for a big big week, lots of debates, and we got to start with Anthropic.

[4:15] Do I want to have single point of failure in the supply chain. The next thing you know, there's one big box that's going to deliver the model. And what about open source? You know, do we just have this one provider that's going to be the monopolistic provider of all this intelligence? That's a concern.

[8:30] upon the model providers in a way that we have not really seen before. This is sort of unprecedented. And so the question is, are we going to use that? Is the government going to use that as a way to start to take over or take equity stakes in these companies? That's the debate.

[12:46] overreach here. So someone showed that if you try to train a better model using Claude, they were basically downgrading you. But they were not telling you that. And so that's why people are mad. It's not just the 30 days, it's the fact that they were downgrading people.

[17:00] that regulation to open source which is actually quite different. I think the open source model is going to be unbelievably important. And so I worry about overregulation there. But on the closed models, I think there's a strong case for some guardrails.

[21:14] psychosis with these like 5,000 word blog posts. Like you just write a 5,000 word blog post and everyone's like, oh my God, this is a real problem. Let's go nuke the company. Like I don't know if that's the right approach. I think Anthropic deserves a lot of credit for being thoughtful and transparent.

[25:30] the tools. If we go back to the original thesis, the price is 2x Opus 4.8. So per token, it's twice as much. But if it's actually that much better, you should be using fewer tokens. So you know, the question is, is the net effect the same, better, or worse? And so far we just don't have enough evidence to know.

[29:42] are the smarter thing would be to basically have a Strategic Equity Stake where the government is not operating these companies, but they have a passive equity stake. And so if these companies become very valuable, the government shares in that upside. But the operating decisions are still made by the private sector.

[33:58] sort of experiment, which every lab in Silicon Valley has been running for the last 18 months, is that the government doesn't actually have the capability to do frontier research and development. They just don't. They can do incremental. They can do procurement. But they can't do frontier.

[38:14] doing this deal with Saudi Arabia. The PIF took a stake in Magic Leap, in Uber, in Tesla at one point. And these are passive equity stakes. And it didn't mean that Saudi Arabia was running those companies. And I think that's a model that we could potentially adopt here.

[42:28] supposed to maximize the value to shareholders. They're not supposed to maximize national security. And so I think we need to separate the two. And the way to do that is to take a passive equity stake where the government can have some level of input on national security issues, but the operating decisions are still made by the private sector.

[46:42] the Lighthorse AI deals. I think it was called Project Maven where they basically just took all the Google engineers and they tried to build this thing. They spent like $200 million and they ended up with nothing. And so I just don't think the government has the capability to do this.

[50:58] post on the pause was to justify the creation of these new agencies. And so if you actually had a pause, you'd have to fire all of these people that are working on AI safety. And so the pause was always a bit of a Trojan horse for the safety community to get more power.

[55:12] you know, the Core CPI came in at 3.2% which is a tenth lower than expected. And the headline was 3.0% which was a tenth lower. So that's good news. But the core services ex-shelter came in at 4.5% which is really the stickiest part of the inflation print. And so that's not great news.

[59:28] published now all the interviews. Yeah. So like, but the bottom line is core services ex-shelter is the Fed's most closely watched measure. And if that's 4.5%, it's really hard for them to cut rates. They would have to see that come down meaningfully before they could start cutting.

[1:03:42] got a 3-handle on inflation. I mean, we are within striking distance of a 3-handle. The next print could be 2.9, 2.8. I mean, we are really close to a 2-handle. And so I think the Fed is going to be very cautious. They don't want to cut too early and have to come back and raise rates.

[1:07:56] inflation in this country, the core services ex-shelter, the super core inflation is the stickiest part. And if you're looking at the wage data, wages are up 4.7% year over year. So if you have wage inflation at 4.7% and core services at 4.5%, you don't have a disinflationary process. You have a stagflationary process.

[1:12:10] California elections. There's a bill that's moving through the California legislature called SB 1407. And basically what it does is it allows for same-day voter registration. It allows 16 and 17 year olds to be auto-registered. And it allows voters to change their vote on election day.

[1:16:26] can register to vote. There is no proof of residency. There is no proof of citizenship. You can just walk in and say I'm John Smith and I live at 123 Main Street. And they will give you a ballot. And you can vote. And that's the current state of affairs in California.

[1:20:40] the DMV is now issuing voter registration cards. So if you go to the DMV and you say, hey, I just moved here, I need to update my address, they will give you a voter registration card. And so the DMV is now in the business of issuing voter IDs. And this is a huge vulnerability.

[1:24:56] fraud. It's this it's designed to be vulnerable. And so when you have a system that's designed to be vulnerable, you're going to have fraud. And so the question is, are we going to fix it? Or are we going to make it worse? And SB 1407 makes it worse.

[1:29:10] the worst possible time to be making it easier to cheat. And the reason is that California has 54 electoral votes. It's the most electoral votes of any state. And in 2028, if the election is close, California could be the deciding state. And so we need to make sure that the election in California is secure.

[1:33:25] anything as we wrap here on this? I think the thing that I would say is that we are in a very unique moment in time. We've got the AI revolution happening. We've got inflation still elevated. We've got elections coming up. And all of these things are intersecting at the same time. And so we need to be thoughtful about how we approach all of them.

[1:41:55] I'm going all in.


🎓 Patrick 收尾可行动 (1/2/3)

  1. 扩展 Hermes 健康审计脚本 — 写 hermes_health_audit.py 拉 30 天 API log → 6 维报告(对齐 Fable 5 降级机制的自查)
  2. NQ-100 Plan E 加 "Fed Hold 模拟" 段 — 扩 skill nq100-quant-backtest 加 BEAR Regime 实测 12 月
  3. NotebookLM 加 All-In E233 + Nick Saraev 3 视频 — 跨 source AI Agent 经济学调研,补 4 玩家洗牌缺数据